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unsupportSQL.log
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unsupportSQL.log
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2019-10-28 04:03:43 INFO ScalaApp$:8 - Start Converst SQL to Spark DataFrame ...
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT born_state FROM head GROUP BY born_state HAVING count(*) >= 3 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: head.groupBy(col("born_state"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT creation FROM department GROUP BY creation ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: department.groupBy(col("creation"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.department_id , T1.name , count(*) FROM management AS T2 JOIN department AS T1 ON T1.department_id = T2.department_id GROUP BY T1.department_id HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: management.join(department, department("department_id") === management("department_id"), inner).groupBy(department("department_id"))Current Version does not support to sellect column and agg.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT head_id , name FROM head WHERE name LIKE '%Ha%' [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: head.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.join(farm_competition, city("City_ID") === farm_competition("Host_city_ID"), inner).groupBy(farm_competition("Host_city_ID"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Official_Name FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID HAVING COUNT(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.join(farm_competition, city("City_ID") === farm_competition("Host_city_ID"), inner).groupBy(farm_competition("Host_city_ID"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.join(farm_competition, city("City_ID") === farm_competition("Host_city_ID"), inner).groupBy(farm_competition("Host_city_ID"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Status FROM city AS T1 JOIN farm_competition AS T2 ON T1.City_ID = T2.Host_city_ID GROUP BY T2.Host_city_ID ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.join(farm_competition, city("City_ID") === farm_competition("Host_city_ID"), inner).groupBy(farm_competition("Host_city_ID"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status , avg(Population) FROM city GROUP BY Status [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status , avg(Population) FROM city GROUP BY Status [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) ASC [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Status FROM city GROUP BY Status ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: city.groupBy(col("Status"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: courses.join(student_course_registrations, courses("course_id") === student_course_registrations("course_Id"), inner).groupBy(courses("course_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.course_name FROM courses AS T1 JOIN student_course_registrations AS T2 ON T1.course_id = T2.course_Id GROUP BY T1.course_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: courses.join(student_course_registrations, courses("course_id") === student_course_registrations("course_Id"), inner).groupBy(courses("course_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: student_course_registrations.groupBy(col("student_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT student_id FROM student_course_registrations GROUP BY student_id ORDER BY count(*) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: student_course_registrations.groupBy(col("student_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).groupBy(students("student_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.student_details FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).groupBy(students("student_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).groupBy(students("student_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.student_id , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id GROUP BY T1.student_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).groupBy(students("student_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).join(courses, student_course_registrations("course_id") === courses("course_id"), inner).groupBy(student_course_registrations("course_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T3.course_name , count(*) FROM students AS T1 JOIN student_course_registrations AS T2 ON T1.student_id = T2.student_id JOIN courses AS T3 ON T2.course_id = T3.course_id GROUP BY T2.course_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: students.join(student_course_registrations, students("student_id") === student_course_registrations("student_id"), inner).join(courses, student_course_registrations("course_id") === courses("course_id"), inner).groupBy(student_course_registrations("course_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city , max(lat) FROM station GROUP BY city [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city , max(lat) FROM station GROUP BY city [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code , avg(mean_temperature_f) FROM weather WHERE date LIKE "8/%" GROUP BY zip_code [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT start_station_name , start_station_id FROM trip WHERE start_date LIKE "8/%" GROUP BY start_station_name ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(col("zip_code") === 94002).groupBy(col("bike_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT bike_id FROM trip WHERE zip_code = 94002 GROUP BY bike_id ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(col("zip_code") === 94002).groupBy(col("bike_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("city") === col(""San Francisco"")).select(col("id")) intersect status.groupBy(col("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("bikes_available") > 10) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM station WHERE city = "San Francisco" INTERSECT SELECT station_id FROM status GROUP BY station_id HAVING avg(bikes_available) > 10 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("city") === col(""San Francisco"")).select(col("id")) intersect status.groupBy(col("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("bikes_available") > 10) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%" [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(status, station("id") === status("station_id"), inner).groupBy(status("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg(status("bikes_available")) > 14) union [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.id FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(T2.bikes_available) > 14 UNION SELECT name , id FROM station WHERE installation_date LIKE "12/%" [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(status, station("id") === status("station_id"), inner).groupBy(status("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg(status("bikes_available")) > 14) union [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("zip_code") === 94107).groupBy(col("cloud_cover"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT cloud_cover FROM weather WHERE zip_code = 94107 GROUP BY cloud_cover ORDER BY COUNT (*) DESC LIMIT 3 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("zip_code") === 94107).groupBy(col("cloud_cover"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code ORDER BY avg(mean_sea_level_pressure_inches) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.join(weather, trip("zip_code") === weather("zip_code"), inner).groupBy(weather("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg(weather("mean_temperature_f")) > 60) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id FROM trip AS T1 JOIN weather AS T2 ON T1.zip_code = T2.zip_code GROUP BY T2.zip_code HAVING avg(T2.mean_temperature_f) > 60 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.join(weather, trip("zip_code") === weather("zip_code"), inner).groupBy(weather("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg(weather("mean_temperature_f")) > 60) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("max_wind_Speed_mph") >= 25).groupBy(col("zip_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code , count(*) FROM weather WHERE max_wind_Speed_mph >= 25 GROUP BY zip_code [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("max_wind_Speed_mph") >= 25).groupBy(col("zip_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("min_dew_point_f") < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date , zip_code FROM weather WHERE min_dew_point_f < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.filter(col("min_dew_point_f") < (SELECT min(min_dew_point_f) FROM weather WHERE zip_code = 94107)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("lat") > 37.4).select(col("id")) except status.groupBy(col("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(min("bikes_available") < 7) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM station WHERE lat > 37.4 EXCEPT SELECT station_id FROM status GROUP BY station_id HAVING min(bikes_available) < 7 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("lat") > 37.4).select(col("id")) except status.groupBy(col("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(min("bikes_available") < 7) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose" [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(status, station("id") === status("station_id"), inner).groupBy(status("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("bikes_available") > 10) except [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM station AS T1 JOIN status AS T2 ON T1.id = T2.station_id GROUP BY T2.station_id HAVING avg(bikes_available) > 10 EXCEPT SELECT name FROM station WHERE city = "San Jose" [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(status, station("id") === status("station_id"), inner).groupBy(status("station_id"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("bikes_available") > 10) except [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support to sellect column and agg.filter(COUNT("*") >= 15) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city , COUNT(*) FROM station GROUP BY city HAVING COUNT(*) >= 15 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support to sellect column and agg.filter(COUNT("*") >= 15) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.groupBy(col("start_station_name"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 200) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT start_station_id , start_station_name FROM trip GROUP BY start_station_name HAVING COUNT(*) >= 200 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.groupBy(col("start_station_name"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 200) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("mean_visibility_miles") < 10) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_visibility_miles) < 10 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("mean_visibility_miles") < 10) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city FROM station GROUP BY city ORDER BY max(lat) DESC [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.groupBy(col("city"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(trip, station("id") === trip("start_station_id"), inner).groupBy(trip("start_station_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.long , avg(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.start_station_id GROUP BY T2.start_station_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(trip, station("id") === trip("start_station_id"), inner).groupBy(trip("start_station_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(trip, station("id") === trip("end_station_id"), inner).groupBy(trip("end_station_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.lat , min(T2.duration) FROM station AS T1 JOIN trip AS T2 ON T1.id = T2.end_station_id GROUP BY T2.end_station_id [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.join(trip, station("id") === trip("end_station_id"), inner).groupBy(trip("end_station_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(col("duration") >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT id FROM trip WHERE duration >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: trip.filter(col("duration") >= (SELECT avg(duration) FROM trip WHERE zip_code = 94103)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.select(col("date"),col("max_temperature_f") - col("min_temperature_f")).orderBy(col("max_temperature_f") - col("min_temperature_f"))Current Version does not support to order by with a func or binary operation [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date , max_temperature_f - min_temperature_f FROM weather ORDER BY max_temperature_f - min_temperature_f LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.select(col("date"),col("max_temperature_f") - col("min_temperature_f")).orderBy(col("max_temperature_f") - col("min_temperature_f"))Current Version does not support to order by with a func or binary operation [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("mean_humidity") < 70) intersect [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT zip_code FROM weather GROUP BY zip_code HAVING avg(mean_humidity) < 70 INTERSECT SELECT zip_code FROM trip GROUP BY zip_code HAVING count(*) >= 100 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: weather.groupBy(col("zip_code"))Current Version does not support groupBy operation without agg funcs in select.filter(avg("mean_humidity") < 70) intersect [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("city") === col(""Palo Alto"")).select(col("name")) except trip.groupBy(col("end_station_name"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 100) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM station WHERE city = "Palo Alto" EXCEPT SELECT end_station_name FROM trip GROUP BY end_station_name HAVING count(*) > 100 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: station.filter(col("city") === col(""Palo Alto"")).select(col("name")) except trip.groupBy(col("end_station_name"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 100) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Publisher FROM publication GROUP BY Publisher HAVING COUNT(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: publication.groupBy(col("Publisher"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Publisher , COUNT(*) FROM publication GROUP BY Publisher [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: publication.groupBy(col("Publisher"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Publication_Date FROM publication GROUP BY Publication_Date ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: publication.groupBy(col("Publication_Date"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Writer FROM book GROUP BY Writer HAVING COUNT(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: book.groupBy(col("Writer"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: actor.join(musical, actor("Musical_ID") === musical("Musical_ID"), inner).groupBy(actor("Musical_ID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name , COUNT(*) FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: actor.join(musical, actor("Musical_ID") === musical("Musical_ID"), inner).groupBy(actor("Musical_ID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: actor.join(musical, actor("Musical_ID") === musical("Musical_ID"), inner).groupBy(actor("Musical_ID"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name FROM actor AS T1 JOIN musical AS T2 ON T1.Musical_ID = T2.Musical_ID GROUP BY T1.Musical_ID HAVING COUNT(*) >= 3 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: actor.join(musical, actor("Musical_ID") === musical("Musical_ID"), inner).groupBy(actor("Musical_ID"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee , COUNT(*) FROM musical GROUP BY Nominee [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee FROM musical GROUP BY Nominee ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("RESULT"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT RESULT FROM musical GROUP BY RESULT ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("RESULT"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Nominee FROM musical GROUP BY Nominee HAVING COUNT(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:48 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: musical.groupBy(col("Nominee"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name , email FROM user_profiles WHERE name LIKE '%Swift%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM user_profiles WHERE email LIKE '%superstar%' OR email LIKE '%edu%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.filter(Unsupport like operation in where statement || Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT text FROM tweets WHERE text LIKE '%intern%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: tweets.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift') [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(follows, user_profiles("uid") === follows("f1"), inner).groupBy(follows("f1"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > (SELECT count(*) FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 WHERE T1.name = 'Tyler Swift')Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.email FROM user_profiles AS T1 JOIN follows AS T2 ON T1.uid = T2.f1 GROUP BY T2.f1 HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(follows, user_profiles("uid") === follows("f1"), inner).groupBy(follows("f1"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(tweets, user_profiles("uid") === tweets("uid"), inner).groupBy(tweets("uid"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(tweets, user_profiles("uid") === tweets("uid"), inner).groupBy(tweets("uid"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.partitionid FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) < 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(tweets, user_profiles("uid") === tweets("uid"), inner).groupBy(tweets("uid"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") < 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , count(*) FROM user_profiles AS T1 JOIN tweets AS T2 ON T1.uid = T2.uid GROUP BY T2.uid HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: user_profiles.join(tweets, user_profiles("uid") === tweets("uid"), inner).groupBy(tweets("uid"))Current Version does not support to sellect column and agg.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING count(*) > 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Attribute_Definitions.groupBy(col("attribute_data_type"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT attribute_data_type FROM Attribute_Definitions GROUP BY attribute_data_type HAVING count(*) > 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Attribute_Definitions.groupBy(col("attribute_data_type"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT distinct(catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalogs.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT distinct(catalog_publisher) FROM catalogs WHERE catalog_publisher LIKE "%Murray%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalogs.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalogs.groupBy(col("catalog_publisher"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT catalog_publisher FROM catalogs GROUP BY catalog_publisher ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalogs.groupBy(col("catalog_publisher"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.attribute_value = (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Catalog_Contents.join(Catalog_Contents_Additional_Attributes, Catalog_Contents("catalog_entry_id") === Catalog_Contents_Additional_Attributes("catalog_entry_id"), inner).filter(Catalog_Contents_Additional_Attributes("attribute_value") === (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.catalog_entry_name FROM Catalog_Contents AS t1 JOIN Catalog_Contents_Additional_Attributes AS t2 ON t1.catalog_entry_id = t2.catalog_entry_id WHERE t2.attribute_value = (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Catalog_Contents.join(Catalog_Contents_Additional_Attributes, Catalog_Contents("catalog_entry_id") === Catalog_Contents_Additional_Attributes("catalog_entry_id"), inner).filter(Catalog_Contents_Additional_Attributes("attribute_value") === (SELECT attribute_value FROM Catalog_Contents_Additional_Attributes GROUP BY attribute_value ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT catalog_entry_name FROM catalog_contents WHERE product_stock_number LIKE "2%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalog_contents.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT catalog_entry_name FROM catalog_contents WHERE product_stock_number LIKE "2%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: catalog_contents.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Catalogs.groupBy(col("date_of_latest_revision"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT date_of_latest_revision FROM Catalogs GROUP BY date_of_latest_revision HAVING count(*) > 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Catalogs.groupBy(col("date_of_latest_revision"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Aircraft.filter(col("distance") > (SELECT avg(distance) FROM Aircraft)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM Aircraft WHERE distance > (SELECT avg(distance) FROM Aircraft) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Aircraft.filter(col("distance") > (SELECT avg(distance) FROM Aircraft)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM Employee WHERE salary > (SELECT avg(salary) FROM Employee) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.filter(col("salary") > (SELECT avg(salary) FROM Employee)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM Employee WHERE salary > (SELECT avg(salary) FROM Employee) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.filter(col("salary") > (SELECT avg(salary) FROM Employee)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT origin , count(*) FROM Flight GROUP BY origin [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("origin"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT origin , count(*) FROM Flight GROUP BY origin [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("origin"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT destination , count(*) FROM Flight GROUP BY destination [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("destination"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT destination , count(*) FROM Flight GROUP BY destination [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("destination"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT origin FROM Flight GROUP BY origin ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("origin"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT origin FROM Flight GROUP BY origin ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("origin"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("destination"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT destination FROM Flight GROUP BY destination ORDER BY count(*) LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.groupBy(col("destination"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , count(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.join(Aircraft, Flight("aid") === Aircraft("aid"), inner).groupBy(Flight("aid"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , count(*) FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.join(Aircraft, Flight("aid") === Aircraft("aid"), inner).groupBy(Flight("aid"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.join(Aircraft, Flight("aid") === Aircraft("aid"), inner).groupBy(Flight("aid"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM Flight AS T1 JOIN Aircraft AS T2 ON T1.aid = T2.aid GROUP BY T1.aid HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Flight.join(Aircraft, Flight("aid") === Aircraft("aid"), inner).groupBy(Flight("aid"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Certificate.join(Aircraft, Aircraft("aid") === Certificate("aid"), inner).groupBy(Certificate("aid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM Certificate AS T1 JOIN Aircraft AS T2 ON T2.aid = T1.aid GROUP BY T1.aid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Certificate.join(Aircraft, Aircraft("aid") === Certificate("aid"), inner).groupBy(Certificate("aid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.join(Certificate, Employee("eid") === Certificate("eid"), inner).groupBy(Employee("eid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , T1.salary FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.join(Certificate, Employee("eid") === Certificate("eid"), inner).groupBy(Employee("eid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.distance > 5000 GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.join(Certificate, Employee("eid") === Certificate("eid"), inner).join(Aircraft, Aircraft("aid") === Certificate("aid"), inner).filter(Aircraft("distance") > 5000).groupBy(Employee("eid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name FROM Employee AS T1 JOIN Certificate AS T2 ON T1.eid = T2.eid JOIN Aircraft AS T3 ON T3.aid = T2.aid WHERE T3.distance > 5000 GROUP BY T1.eid ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Employee.join(Certificate, Employee("eid") === Certificate("eid"), inner).join(Aircraft, Aircraft("aid") === Certificate("aid"), inner).filter(Aircraft("distance") > 5000).groupBy(Employee("eid"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype , count(*) FROM Allergy_type GROUP BY allergytype [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype , count(*) FROM Allergy_type GROUP BY allergytype [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT allergytype FROM Allergy_type GROUP BY allergytype ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Allergy_type.groupBy(col("allergytype"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT LName FROM Student WHERE age = (SELECT min(age) FROM Student) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.filter(col("age") === (SELECT min(age) FROM Student)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT LName FROM Student WHERE age = (SELECT min(age) FROM Student) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.filter(col("age") === (SELECT min(age) FROM Student)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT StuID FROM Student WHERE age = (SELECT max(age) FROM Student) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.filter(col("age") === (SELECT max(age) FROM Student)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT StuID FROM Student WHERE age = (SELECT max(age) FROM Student) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.filter(col("age") === (SELECT max(age) FROM Student)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT major , count(*) FROM Student GROUP BY major [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("major"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT major , count(*) FROM Student GROUP BY major [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("major"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT major FROM Student GROUP BY major ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("major"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT major FROM Student GROUP BY major ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("major"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT age , count(*) FROM Student GROUP BY age [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("age"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT age , count(*) FROM Student GROUP BY age [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("age"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT avg(age) , sex FROM Student GROUP BY sex [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("sex"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT avg(age) , sex FROM Student GROUP BY sex [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("sex"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city_code , count(*) FROM Student GROUP BY city_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("city_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT city_code , count(*) FROM Student GROUP BY city_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("city_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT advisor , count(*) FROM Student GROUP BY advisor [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("advisor"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT advisor , count(*) FROM Student GROUP BY advisor [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("advisor"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT advisor FROM Student GROUP BY advisor ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("advisor"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT advisor FROM Student GROUP BY advisor ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Student.groupBy(col("advisor"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("StuID"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT StuID FROM Has_allergy GROUP BY StuID HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("StuID"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Allergy FROM Has_allergy GROUP BY Allergy ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("Allergy"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Allergy FROM Has_allergy GROUP BY Allergy ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("Allergy"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("Allergy"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Allergy , count(*) FROM Has_allergy GROUP BY Allergy [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.groupBy(col("Allergy"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.join(Allergy_type, Has_allergy("allergy") === Allergy_type("allergy"), inner).groupBy(Allergy_type("allergytype"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.allergytype , count(*) FROM Has_allergy AS T1 JOIN Allergy_type AS T2 ON T1.allergy = T2.allergy GROUP BY T2.allergytype [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Has_allergy.join(Allergy_type, Has_allergy("allergy") === Allergy_type("allergy"), inner).groupBy(Allergy_type("allergytype"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , COUNT(*) FROM invoices GROUP BY billing_country ORDER BY count(*) DESC LIMIT 5; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , COUNT(*) FROM invoices GROUP BY billing_country ORDER BY count(*) DESC LIMIT 5; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , SUM(total) FROM invoices GROUP BY billing_country ORDER BY SUM(total) DESC LIMIT 8; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_country , AVG(total) FROM invoices GROUP BY billing_country ORDER BY AVG(total) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.groupBy(col("billing_country"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(invoices, invoices("customer_id") === customers("id"), inner).groupBy(customers("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name , COUNT(*) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY COUNT(*) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(invoices, invoices("customer_id") === customers("id"), inner).groupBy(customers("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name , SUM(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY SUM(T2.total) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(invoices, invoices("customer_id") === customers("id"), inner).groupBy(customers("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name , SUM(T2.total) FROM customers AS T1 JOIN invoices AS T2 ON T2.customer_id = T1.id GROUP BY T1.id ORDER BY SUM(T2.total) DESC LIMIT 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(invoices, invoices("customer_id") === customers("id"), inner).groupBy(customers("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 5; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: genres.join(tracks, tracks("genre_id") === genres("id"), inner).groupBy(genres("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.name , COUNT(*) FROM genres AS T1 JOIN tracks AS T2 ON T2.genre_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 5; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: genres.join(tracks, tracks("genre_id") === genres("id"), inner).groupBy(genres("id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: albums.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT title FROM albums WHERE title LIKE 'A%' ORDER BY title; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: albums.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_country") === col(""USA"")).groupBy(col("billing_state"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_country") === col(""USA"")).groupBy(col("billing_state"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state ORDER BY COUNT(*) DESC LIMIT 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_country") === col(""USA"")).groupBy(col("billing_state"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) FROM invoices WHERE billing_country = "USA" GROUP BY billing_state ORDER BY COUNT(*) DESC LIMIT 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_country") === col(""USA"")).groupBy(col("billing_state"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) , SUM(total) FROM invoices WHERE billing_state = "CA"; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_state") === col(""CA""))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT billing_state , COUNT(*) , SUM(total) FROM invoices WHERE billing_state = "CA"; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: invoices.filter(col("billing_state") === col(""CA""))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: artists.join(albums, artists("id") === albums("artist_id"), inner).filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.title FROM artists AS T1 JOIN albums AS T2 ON T1.id = T2.artist_id WHERE T1.name LIKE '%Led%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: artists.join(albums, artists("id") === albums("artist_id"), inner).filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.join(customers, employees("id") === customers("support_rep_id"), inner).groupBy(employees("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.first_name , T1.last_name FROM employees AS T1 JOIN customers AS T2 ON T1.id = T2.support_rep_id GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.join(customers, employees("id") === customers("support_rep_id"), inner).groupBy(employees("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , city FROM employees WHERE title = 'IT Staff' GROUP BY city [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.filter(col("title") === 'IT Staff').groupBy(col("city"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , city FROM employees WHERE title = 'IT Staff' GROUP BY city [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.filter(col("title") === 'IT Staff').groupBy(col("city"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.first_name , T2.last_name , count(T1.reports_to) FROM employees AS T1 JOIN employees AS T2 ON T1.reports_to = T2.id GROUP BY T1.reports_to ORDER BY count(T1.reports_to) DESC LIMIT 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.join(employees, employees("reports_to") === employees("id"), inner).groupBy(employees("reports_to"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.first_name , T2.last_name , count(T1.reports_to) FROM employees AS T1 JOIN employees AS T2 ON T1.reports_to = T2.id GROUP BY T1.reports_to ORDER BY count(T1.reports_to) DESC LIMIT 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: employees.join(employees, employees("reports_to") === employees("id"), inner).groupBy(employees("reports_to"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.title FROM albums AS T1 JOIN tracks AS T2 ON T1.id = T2.album_id GROUP BY T1.id HAVING count(T1.id) > 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: albums.join(tracks, albums("id") === tracks("album_id"), inner).groupBy(albums("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count(albums("id")) > 10) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.title FROM albums AS T1 JOIN tracks AS T2 ON T1.id = T2.album_id GROUP BY T1.id HAVING count(T1.id) > 10; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: albums.join(tracks, albums("id") === tracks("album_id"), inner).groupBy(albums("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count(albums("id")) > 10) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM playlist_tracks AS T1 JOIN playlists AS T2 ON T2.id = T1.playlist_id GROUP BY T1.playlist_id HAVING count(T1.track_id) > 100; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: playlist_tracks.join(playlists, playlists("id") === playlist_tracks("playlist_id"), inner).groupBy(playlist_tracks("playlist_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count(playlist_tracks("track_id")) > 100) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM playlist_tracks AS T1 JOIN playlists AS T2 ON T2.id = T1.playlist_id GROUP BY T1.playlist_id HAVING count(T1.track_id) > 100; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: playlist_tracks.join(playlists, playlists("id") === playlist_tracks("playlist_id"), inner).groupBy(playlist_tracks("playlist_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count(playlist_tracks("track_id")) > 100) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , T1.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id GROUP BY T1.name; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: genres.join(tracks, genres("id") === tracks("genre_id"), inner).groupBy(genres("name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , T1.name FROM genres AS T1 JOIN tracks AS T2 ON T1.id = T2.genre_id GROUP BY T1.name; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: genres.join(tracks, genres("id") === tracks("genre_id"), inner).groupBy(genres("name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Age , COUNT(*) FROM editor GROUP BY Age [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: editor.groupBy(col("Age"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Age FROM editor GROUP BY Age ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: editor.groupBy(col("Age"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.editor_id , T1.Name , COUNT(*) FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.editor_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: editor.join(journal_committee, editor("Editor_ID") === journal_committee("Editor_ID"), inner).groupBy(editor("editor_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Name FROM editor AS T1 JOIN journal_committee AS T2 ON T1.Editor_ID = T2.Editor_ID GROUP BY T1.Name HAVING COUNT(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: editor.join(journal_committee, editor("Editor_ID") === journal_committee("Editor_ID"), inner).groupBy(editor("Name"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Accounts GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.customer_first_name , T2.customer_last_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.join(Customers, Accounts("customer_id") === Customers("customer_id"), inner).groupBy(Accounts("customer_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.customer_first_name , T2.customer_last_name , T1.customer_id FROM Accounts AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Accounts.join(Customers, Accounts("customer_id") === Customers("customer_id"), inner).groupBy(Accounts("customer_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id , count(*) FROM Customers_cards GROUP BY customer_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("customer_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.join(Customers, Customers_cards("customer_id") === Customers("customer_id"), inner).groupBy(Customers_cards("customer_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.join(Customers, Customers_cards("customer_id") === Customers("customer_id"), inner).groupBy(Customers_cards("customer_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.join(Customers, Customers_cards("customer_id") === Customers("customer_id"), inner).groupBy(Customers_cards("customer_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.customer_id , T2.customer_first_name , T2.customer_last_name FROM Customers_cards AS T1 JOIN Customers AS T2 ON T1.customer_id = T2.customer_id GROUP BY T1.customer_id ORDER BY count(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.join(Customers, Customers_cards("customer_id") === Customers("customer_id"), inner).groupBy(Customers_cards("customer_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code , count(*) FROM Customers_cards GROUP BY card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code FROM Customers_cards GROUP BY card_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 5 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 5) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code FROM Customers_cards GROUP BY card_type_code HAVING count(*) >= 5 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 5) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT card_type_code , count(DISTINCT customer_id) FROM Customers_cards GROUP BY card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Customers_cards.groupBy(col("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.join(Customers_cards, Financial_transactions("card_id") === Customers_cards("card_id"), inner).groupBy(Customers_cards("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.card_type_code , count(*) FROM Financial_transactions AS T1 JOIN Customers_cards AS T2 ON T1.card_id = T2.card_id GROUP BY T2.card_type_code [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.join(Customers_cards, Financial_transactions("card_id") === Customers_cards("card_id"), inner).groupBy(Customers_cards("card_type_code"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("transaction_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT transaction_type , count(*) FROM Financial_transactions GROUP BY transaction_type [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("transaction_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("transaction_type"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT transaction_type FROM Financial_transactions GROUP BY transaction_type ORDER BY sum(transaction_amount) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("transaction_type"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("account_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT account_id , count(*) FROM Financial_transactions GROUP BY account_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: Financial_transactions.groupBy(col("account_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: track.filter(col("seating") > (SELECT avg(seating) FROM track)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name , LOCATION , year_opened FROM track WHERE seating > (SELECT avg(seating) FROM track) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: track.filter(col("seating") > (SELECT avg(seating) FROM track)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS , count(*) FROM race GROUP BY CLASS [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS , count(*) FROM race GROUP BY CLASS [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS FROM race GROUP BY CLASS ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT CLASS FROM race GROUP BY CLASS HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.groupBy(col("CLASS"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , count(*) FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") === 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.name , T2.location FROM race AS T1 JOIN track AS T2 ON T1.track_id = T2.track_id GROUP BY T1.track_id HAVING count(*) = 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: race.join(track, race("track_id") === track("track_id"), inner).groupBy(race("track_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") === 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , address FROM member GROUP BY address [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: member.groupBy(col("address"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Membership_card FROM member GROUP BY Membership_card HAVING count(*) > 5 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: member.groupBy(col("Membership_card"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 5) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT shop_id , address FROM shop WHERE score < (SELECT avg(score) FROM shop) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: shop.filter(col("score") < (SELECT avg(score) FROM shop)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT shop_id , count(*) FROM happy_hour GROUP BY shop_id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: happy_hour.groupBy(col("shop_id"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT MONTH FROM happy_hour GROUP BY MONTH ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: happy_hour.groupBy(col("MONTH"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT MONTH FROM happy_hour GROUP BY MONTH HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: happy_hour.groupBy(col("MONTH"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Name FROM ARTIST WHERE Name LIKE "%a%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ARTIST.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Name FROM ARTIST WHERE Name LIKE "%a%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ARTIST.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(ARTIST, ALBUM("ArtistId") === ARTIST("ArtistId"), inner).groupBy(ARTIST("Name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistId GROUP BY T2.Name ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(ARTIST, ALBUM("ArtistId") === ARTIST("ArtistId"), inner).groupBy(ARTIST("Name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Name FROM TRACK WHERE Name LIKE '%you%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: TRACK.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Name FROM TRACK WHERE Name LIKE '%you%' [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: TRACK.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Title , T2.AlbumID , COUNT(*) FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId GROUP BY T2.AlbumID [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(TRACK, ALBUM("AlbumId") === TRACK("AlbumId"), inner).groupBy(TRACK("AlbumID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Title , T2.AlbumID , COUNT(*) FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId GROUP BY T2.AlbumID [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(TRACK, ALBUM("AlbumId") === TRACK("AlbumId"), inner).groupBy(TRACK("AlbumID"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Name FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId GROUP BY T2.GenreId ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: GENRE.join(TRACK, GENRE("GenreId") === TRACK("GenreId"), inner).groupBy(TRACK("GenreId"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Name FROM GENRE AS T1 JOIN TRACK AS T2 ON T1.GenreId = T2.GenreId GROUP BY T2.GenreId ORDER BY COUNT(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: GENRE.join(TRACK, GENRE("GenreId") === TRACK("GenreId"), inner).groupBy(TRACK("GenreId"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Name FROM MEDIATYPE AS T1 JOIN TRACK AS T2 ON T1.MediaTypeId = T2.MediaTypeId GROUP BY T2.MediaTypeId ORDER BY COUNT(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: MEDIATYPE.join(TRACK, MEDIATYPE("MediaTypeId") === TRACK("MediaTypeId"), inner).groupBy(TRACK("MediaTypeId"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Name FROM MEDIATYPE AS T1 JOIN TRACK AS T2 ON T1.MediaTypeId = T2.MediaTypeId GROUP BY T2.MediaTypeId ORDER BY COUNT(*) ASC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: MEDIATYPE.join(TRACK, MEDIATYPE("MediaTypeId") === TRACK("MediaTypeId"), inner).groupBy(TRACK("MediaTypeId"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Title , T2.AlbumID FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 GROUP BY T2.AlbumID [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(TRACK, ALBUM("AlbumId") === TRACK("AlbumId"), inner).filter(TRACK("UnitPrice") > 1).groupBy(TRACK("AlbumID"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.Title , T2.AlbumID FROM ALBUM AS T1 JOIN TRACK AS T2 ON T1.AlbumId = T2.AlbumId WHERE T2.UnitPrice > 1 GROUP BY T2.AlbumID [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(TRACK, ALBUM("AlbumId") === TRACK("AlbumId"), inner).filter(TRACK("UnitPrice") > 1).groupBy(TRACK("AlbumID"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT COUNT(*) FROM CUSTOMER WHERE Email LIKE "%gmail.com%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.FirstName , T1.SupportRepId FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) >= 10 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.join(EMPLOYEE, CUSTOMER("SupportRepId") === EMPLOYEE("EmployeeId"), inner).groupBy(CUSTOMER("SupportRepId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 10) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.FirstName , T1.SupportRepId FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) >= 10 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.join(EMPLOYEE, CUSTOMER("SupportRepId") === EMPLOYEE("EmployeeId"), inner).groupBy(CUSTOMER("SupportRepId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 10) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 20 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.join(EMPLOYEE, CUSTOMER("SupportRepId") === EMPLOYEE("EmployeeId"), inner).groupBy(CUSTOMER("SupportRepId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") <= 20) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.LastName FROM CUSTOMER AS T1 JOIN EMPLOYEE AS T2 ON T1.SupportRepId = T2.EmployeeId GROUP BY T1.SupportRepId HAVING COUNT(*) <= 20 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: CUSTOMER.join(EMPLOYEE, CUSTOMER("SupportRepId") === EMPLOYEE("EmployeeId"), inner).groupBy(CUSTOMER("SupportRepId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") <= 20) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name , T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistID GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.Name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(ARTIST, ALBUM("ArtistId") === ARTIST("ArtistID"), inner).groupBy(ALBUM("ArtistId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T2.Name , T1.ArtistId FROM ALBUM AS T1 JOIN ARTIST AS T2 ON T1.ArtistId = T2.ArtistID GROUP BY T1.ArtistId HAVING COUNT(*) >= 3 ORDER BY T2.Name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: ALBUM.join(ARTIST, ALBUM("ArtistId") === ARTIST("ArtistID"), inner).groupBy(ALBUM("ArtistId"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.groupBy(col("policy_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.groupBy(col("policy_type_code"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.filter(col("policy_type_code") === (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_phone FROM available_policies WHERE policy_type_code = (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.filter(col("policy_type_code") === (SELECT policy_type_code FROM available_policies GROUP BY policy_type_code ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.groupBy(col("policy_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 4) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT policy_type_code FROM available_policies GROUP BY policy_type_code HAVING count(*) > 4 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: available_policies.groupBy(col("policy_type_code"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 4) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: first_notification_of_loss.join(services, first_notification_of_loss("service_id") === services("service_id"), inner).groupBy(first_notification_of_loss("service_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.service_name FROM first_notification_of_loss AS t1 JOIN services AS t2 ON t1.service_id = t2.service_id GROUP BY t1.service_id HAVING count(*) > 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: first_notification_of_loss.join(services, first_notification_of_loss("service_id") === services("service_id"), inner).groupBy(first_notification_of_loss("service_id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: claims.join(settlements, claims("claim_id") === settlements("claim_id"), inner).groupBy(claims("claim_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.Effective_Date FROM claims AS t1 JOIN settlements AS t2 ON t1.claim_id = t2.claim_id GROUP BY t1.claim_id ORDER BY sum(t2.settlement_amount) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: claims.join(settlements, claims("claim_id") === settlements("claim_id"), inner).groupBy(claims("claim_id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).groupBy(customers("customer_name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).groupBy(customers("customer_name"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).join(available_policies, customers_policies("policy_id") === available_policies("policy_id"), inner).filter(customers("customer_name") === (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT DISTINCT t3.policy_type_code FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id JOIN available_policies AS t3 ON t2.policy_id = t3.policy_id WHERE t1.customer_name = (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).join(available_policies, customers_policies("policy_id") === available_policies("policy_id"), inner).filter(customers("customer_name") === (SELECT t1.customer_name FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id GROUP BY t1.customer_name ORDER BY count(*) DESC LIMIT 1)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT customer_id FROM customers WHERE customer_name LIKE "%Diana%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.date_opened , t2.date_closed FROM customers AS t1 JOIN customers_policies AS t2 ON t1.customer_id = t2.customer_id WHERE t1.customer_name LIKE "%Diana%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: customers.join(customers_policies, customers("customer_id") === customers_policies("customer_id"), inner).filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.Name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.Name , T1.FDA_approved FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id ORDER BY count(*) DESC [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: enzyme.join(medicine_enzyme_interaction, enzyme("id") === medicine_enzyme_interaction("enzyme_id"), inner).filter(medicine_enzyme_interaction("interaction_type") === 'activitor').groupBy(enzyme("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.name FROM enzyme AS T1 JOIN medicine_enzyme_interaction AS T2 ON T1.id = T2.enzyme_id WHERE T2.interaction_type = 'activitor' GROUP BY T1.id ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: enzyme.join(medicine_enzyme_interaction, enzyme("id") === medicine_enzyme_interaction("enzyme_id"), inner).filter(medicine_enzyme_interaction("interaction_type") === 'activitor').groupBy(enzyme("id"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine_enzyme_interaction.groupBy(col("interaction_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT interaction_type , count(*) FROM medicine_enzyme_interaction GROUP BY interaction_type ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine_enzyme_interaction.groupBy(col("interaction_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT T1.id , T1.trade_name FROM medicine AS T1 JOIN medicine_enzyme_interaction AS T2 ON T2.medicine_id = T1.id GROUP BY T1.id HAVING COUNT(*) >= 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.join(medicine_enzyme_interaction, medicine_enzyme_interaction("medicine_id") === medicine("id"), inner).groupBy(medicine("id"))Current Version does not support groupBy operation without agg funcs in select.filter(COUNT("*") >= 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM enzyme WHERE name LIKE "%ALA%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: enzyme.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT name FROM enzyme WHERE name LIKE "%ALA%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: enzyme.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT trade_name , count(*) FROM medicine GROUP BY trade_name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.groupBy(col("trade_name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT trade_name , count(*) FROM medicine GROUP BY trade_name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: medicine.groupBy(col("trade_name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT sum(enrollment) , affiliation FROM university GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) FROM university WHERE LOCATION LIKE "%NY%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.join(basketball_match, university("school_id") === basketball_match("school_id"), inner).filter(col("enrollment") < (SELECT avg(enrollment) FROM university)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT t2.team_name FROM university AS t1 JOIN basketball_match AS t2 ON t1.school_id = t2.school_id WHERE enrollment < (SELECT avg(enrollment) FROM university) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.join(basketball_match, university("school_id") === basketball_match("school_id"), inner).filter(col("enrollment") < (SELECT avg(enrollment) FROM university)Unsupport subselect statement in a exmpression) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(col("enrollment") > 20000).groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT count(*) , affiliation FROM university WHERE enrollment > 20000 GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(col("enrollment") > 20000).groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(col("founded") > 1850).groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT sum(Enrollment) , affiliation FROM university WHERE founded > 1850 GROUP BY affiliation [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: university.filter(col("founded") > 1850).groupBy(col("affiliation"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Hardware_Model_name , Company_name FROM phone WHERE Accreditation_type LIKE 'Full'; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Company_name , count(*) FROM phone GROUP BY Company_name ORDER BY count(*) ASC LIMIT 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.groupBy(col("Company_name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Company_name FROM phone GROUP BY Company_name HAVING count(*) > 1; [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.groupBy(col("Company_name"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 1) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.groupBy(col("Accreditation_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Accreditation_type , count(*) FROM phone GROUP BY Accreditation_type [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.groupBy(col("Accreditation_type"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Accreditation_level FROM phone GROUP BY Accreditation_level HAVING count(*) > 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: phone.groupBy(col("Accreditation_level"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") > 3) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: country.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Official_native_language FROM country WHERE Official_native_language LIKE "%English%" [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: country.filter(Unsupport like operation in where statement) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("POSITION"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT POSITION , COUNT(*) FROM match_season GROUP BY POSITION [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("POSITION"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: country.join(match_season, country("Country_id") === match_season("Country"), inner).groupBy(country("Country_name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT Country_name , COUNT(*) FROM country AS T1 JOIN match_season AS T2 ON T1.Country_id = T2.Country GROUP BY T1.Country_name [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: country.join(match_season, country("Country_id") === match_season("Country"), inner).groupBy(country("Country_name"))Current Version does not support to sellect column and agg [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("POSITION"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT POSITION FROM match_season GROUP BY POSITION ORDER BY count(*) DESC LIMIT 1 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("POSITION"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College ORDER BY count(*) DESC LIMIT 3 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] INPUT SQL: SELECT College FROM match_season GROUP BY College HAVING count(*) >= 2 ORDER BY College DESC [***UNSUPPORT***]
2019-10-28 04:03:49 INFO DataFrame$:8 - [***UNSUPPORT***] OUTPUT DataFrame: match_season.groupBy(col("College"))Current Version does not support groupBy operation without agg funcs in select.filter(count("*") >= 2) [***UNSUPPORT***]