Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[SPARK-24716][TESTS][FOLLOW-UP] Test Hive metastore schema and parquet schema are in different letter cases #22267

Closed
wants to merge 2 commits into from
Closed

[SPARK-24716][TESTS][FOLLOW-UP] Test Hive metastore schema and parquet schema are in different letter cases #22267

Changes from 1 commit
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
f5559f4
Improvement test.
wangyum Aug 29, 2018
cdbf81a
Move to HiveParquetSuite
wangyum Aug 30, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Jump to
Jump to file
Failed to load files.
Diff view
Diff view
12 changes: 12 additions & 0 deletions ...rc/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
View file
Open in desktop
Expand Up @@ -1021,6 +1021,18 @@ class ParquetFilterSuite extends QueryTest with ParquetTest with SharedSQLContex
}
}
}

test("SPARK-25206: wrong records are returned when Hive metastore schema and parquet schema " +
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

this is a end-to-end test and should not be put here. How about HiveParquetSuite

"are in different letter cases") {
withTempPath { path =>
val data = spark.range(1, 10).toDF("id")
data.write.parquet(path.getCanonicalPath)
withTable("SPARK_25206") {
sql(s"CREATE TABLE SPARK_25206 (ID LONG) USING parquet LOCATION '${path.getCanonicalPath}'")
checkAnswer(sql("select id from SPARK_25206 where id > 0"), data)
}
}
}
}

class NumRowGroupsAcc extends AccumulatorV2[Integer, Integer] {
Expand Down