Excel Relation is not supported #588

Qurashetufail · 2020-02-13T21:00:23Z

Hi Team,

Spline version 0.4.1

I am facing this issue while accessing the data from the .xlsx file. Please find the error below

java.lang.RuntimeException: Relation is not supported: ExcelRelation(data/input/batch/Lumendata_modified.xlsx,Some(RLD_ENGINE_CLAIM_DETAIL_MV),true,false,false,false,None,0,2147483647,None,None)
     [java]     at scala.sys.package$.error(package.scala:27)
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor$$anonfun$asReadCommand$1.applyOrElse(ReadCommandExtractor.scala:73)
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor$$anonfun$asReadCommand$1.applyOrElse(ReadCommandExtractor.scala:42)
     [java]     at scala.PartialFunction$Lifted.apply(PartialFunction.scala:223)
     [java]     at scala.PartialFunction$Lifted.apply(PartialFunction.scala:219)
     [java]     at scala.PartialFunction$.condOpt(PartialFunction.scala:286)
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor.asReadCommand(ReadCommandExtractor.scala:42)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.za$co$absa$spline$harvester$LineageHarvester$$createOperationBuilder(LineageHarvester.scala:142)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$6.apply(LineageHarvester.scala:119)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$6.apply(LineageHarvester.scala:119)
     [java]     at scala.Option.getOrElse(Option.scala:121)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.traverseAndCollect$1(LineageHarvester.scala:119)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.za$co$absa$spline$harvester$LineageHarvester$$createOperationBuildersRecursively(LineageHarvester.scala:138)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$harvest$1.apply(LineageHarvester.scala:70)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$harvest$1.apply(LineageHarvester.scala:68)
     [java]     at scala.Option.flatMap(Option.scala:171)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.harvest(LineageHarvester.scala:68)
     [java]     at za.co.absa.spline.harvester.QueryExecutionEventHandler.onSuccess(QueryExecutionEventHandler.scala:41)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener$$anonfun$onSuccess$1.apply(SplineQueryExecutionListener.scala:37)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener$$anonfun$onSuccess$1.apply(SplineQueryExecutionListener.scala:37)
     [java]     at scala.Option.foreach(Option.scala:257)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener.onSuccess(SplineQueryExecutionListener.scala:37)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1$$anonfun$apply$mcV$sp$1.apply(QueryExecutionListener.scala:114)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1$$anonfun$apply$mcV$sp$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling$1.apply(QueryExecutionListener.scala:135)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling$1.apply(QueryExecutionListener.scala:133)
     [java]     at scala.collection.immutable.List.foreach(List.scala:392)
     [java]     at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
     [java]     at scala.collection.mutable.ListBuffer.foreach(ListBuffer.scala:45)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling(QueryExecutionListener.scala:133)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply$mcV$sp(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.readLock(QueryExecutionListener.scala:146)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.onSuccess(QueryExecutionListener.scala:112)
     [java]     at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:611)
     [java]     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
     [java]     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:217)
     [java]     at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:508)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1$.delayedEndpoint$za$co$absa$spline$example$batch$CumminsJob1$1(CumminsJob1.scala:249)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1$delayedInit$body.apply(CumminsJob1.scala:19)
     [java]     at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
     [java]     at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
     [java]     at scala.App$$anonfun$main$1.apply(App.scala:76)
     [java]     at scala.App$$anonfun$main$1.apply(App.scala:76)
     [java]     at scala.collection.immutable.List.foreach(List.scala:392)
     [java]     at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
     [java]     at scala.App$class.main(App.scala:76)
     [java]     at za.co.absa.spline.example.SparkApp.main(SparkApp.scala:27)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1.main(CumminsJob1.scala)

The code snippet is mentioned below

val dfRawEngClaimDetail = dfRawData.filter((col("payment_date") >= "2016-01-01")&&(col("payment_date") < current_date)&&(col("total_fail_count_num") === 1)&&(col("fail_mode_code") =!= "NF")&&(col("fail_mode_code") =!= "WP")&&(col("program_group_name") =!= "CAMP/TRP")&&(col("program_group_name") =!= "FIELD TEST")&&(col("program_group_name") =!= "OTHERS")).select("engine_serial_num","build_date",
      "build_year",
      "build_qtr",
      "build_month",
      "plant_id_code",
      "engine_family_code",
      "engine_group_desc",
      "engine_name_desc",
      "design_phase_code",
      "variable_timing_id_num",
      "mktg_hsp_num",
      "mktg_rpm_num",
      "ship_date",
      "oem_code",
      "application_code",
      "in_service_date",
      "fail_service_date_diff",
      "failure_date",
      "fail_code_and_mode",
      "fail_code",
      "fail_mode_code",
      "engine_miles",
      "engine_hrs",
      "original_unit_of_measure",
      "dealer_code",
      "distributor_code",
      "claim_num",
      "claim_year",
      "claim_id_seq",
      "payment_date",
      "payment_year",
      "payment_qtr",
      "payment_month",
      "program_account_code",
      "program_group_name",
      "labor_hours",
      "net_amount",
      "materials_amount",
      "markup_amount",
      "repair_labor_amount",
      "region_code",
      "territory_code",
      "design_config_num",
      "mktg_config_num",
      "mktg_config_name",
      "vin_num",
      "authorization_num",
      "shop_order_num",
      "cpl_num",
      "total_fail_count_num",
      "claim_detail_id_seq",
      "fail_system_code",
      "fail_component_code",
      "user_appl_code",
      "travel_lodging_amount",
      "travel_to_site_amount",
      "travel_labor_amount",
      "beyond_fact_charge",
      "tax_amount",
      "other_expense_amount",
      "deductible_amount",
      "cummins_administration_amount",
      "undetailed_parts_amount",
      "dollar_differ_amount").
      withColumn("month",substring(col("failure_date"),6,2)).
      withColumn("failyear", year(col("failure_date")).cast("String")).
      withColumn("quarter", quarter(col("failure_date"))).
      withColumn("failmonth",(concat(col("failyear"),col("month")))).
      withColumn("failqtr",(concat(col("failyear"),col("quarter")))).
      withColumn("travelamt",col("travel_lodging_amount") + col("travel_to_site_amount") + col("travel_labor_amount")).
      withColumn("otheramt",col("beyond_fact_charge") + col("tax_amount") + col("other_expense_amount") + col("deductible_amount") + col("cummins_administration_amount") + col("undetailed_parts_amount") + col("dollar_differ_amount")).
      withColumn("config",col("design_config_num"))

Request you to please let me know why this issue is happening?

Thanks,
Tufail

The text was updated successfully, but these errors were encountered:

cerveada · 2020-02-14T07:56:01Z

Hello Tufail,
Spline currently doesn't support every Spark command or every Relation. The most common ones are covered, but there is still more to be done.

We will try to include this relation support in the next Spline release.

Qurashetufail · 2020-02-14T09:51:31Z

Thank you @cerveada for the information. Can you please confirm when will the next version of Spline will be released?

wajda · 2020-02-14T12:34:03Z

@cerveada I think we could fix it in 0.4 and release an update asap. Should be easy, no?

cerveada · 2020-02-14T12:58:44Z

It should, OK I will take a look at the issue at Monday. So the bugfix version should be released next week.

Qurashetufail · 2020-02-14T15:27:47Z

Thank you @cerveada that would be great. Also, this issue is with the excel data source. If I change the data source to the oracle would this issue be still occurring?

Thanks,
Tufail

cerveada · 2020-02-17T10:54:07Z

I think for Oracle Spark will return JDBCRelation which is supported.
There is no ExcelRelation in Spark. Were you using crealytics/spark-excel library or something else for that?

Qurashetufail · 2020-02-17T11:11:25Z

I will try with oracle today.
I am using com.crealytics.spark.excel to read the excel file. I have data in multiple tabs in a single excel.

cerveada · 2020-02-19T14:57:22Z

Capturing excel write operation seems to be currently impossible. We will support only read for now.

More here: nightscape/spark-excel#209

Qurashetufail · 2020-02-19T18:37:37Z

@cerveada Thank you for keeping the ticket open. Please let me know when this will be available in the future.

@wajda I understand what you are saying. It worked with Spark 3 preview by chance. I have now switched to Spark 2.4v for my POC. The oracle issue is still there, i will update the ticket when I will figure out why this error is happening.

Qurashetufail · 2020-02-19T20:40:00Z

Hi @wajda

I solved the dependency issue while using spline with docker and spark 2.2.2v. The code is working fine with oracle as the database. However, when using the spark 2,3v and 2.4v the code was throwing the said error. I had modified the parent/pom.xml file and pom.xml file available in the examples folder under 0.4.1v to add the additional dependencies. Please let me know if this is the right fix for this issue.

Thanks,
Tufail

cerveada · 2020-02-20T09:10:15Z

@Qurashetufail I will ask you once more. If you have any question or comments unrelated to Excel, please create new ticket for it, or use ticket that is related to your problem.

Each problem should have its own dedicated ticket. Oracle and Excel are unrelated things. You can link the other tickets if you need to provide context.

This will make searching for information in future much easier for everybody.

wajda · 2020-02-21T10:42:08Z

@Qurashetufail,
"Not a version: 9" issue has been moved to #598

* spline #588 support for spark excel

wajda · 2020-02-25T20:17:33Z

@Qurashetufail,
Spline 0.4.2 is out. Can you try it and see if the issue is fixed now?
Thanks.

Qurashetufail · 2020-02-26T10:53:10Z

Hi @wajda,
I ran the script on Spline 0.4.2. I am encountering the new issue now

     [java] Exception in thread "main" java.lang.NoSuchMethodError: com.crealytics.spark.excel.ExcelRelation.workbookReader()Lcom/crealytics/spark/excel/WorkbookReader;
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor$$anonfun$asReadCommand$1.applyOrElse(ReadCommandExtractor.scala:75)
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor$$anonfun$asReadCommand$1.applyOrElse(ReadCommandExtractor.scala:44)
     [java]     at scala.PartialFunction$Lifted.apply(PartialFunction.scala:223)
     [java]     at scala.PartialFunction$Lifted.apply(PartialFunction.scala:219)
     [java]     at scala.PartialFunction$.condOpt(PartialFunction.scala:286)
     [java]     at za.co.absa.spline.harvester.builder.read.ReadCommandExtractor.asReadCommand(ReadCommandExtractor.scala:44)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.za$co$absa$spline$harvester$LineageHarvester$$createOperationBuilder(LineageHarvester.scala:143)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$6.apply(LineageHarvester.scala:120)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$6.apply(LineageHarvester.scala:120)
     [java]     at scala.Option.getOrElse(Option.scala:121)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.traverseAndCollect$1(LineageHarvester.scala:120)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.za$co$absa$spline$harvester$LineageHarvester$$createOperationBuildersRecursively(LineageHarvester.scala:139)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$harvest$1.apply(LineageHarvester.scala:71)
     [java]     at za.co.absa.spline.harvester.LineageHarvester$$anonfun$harvest$1.apply(LineageHarvester.scala:69)
     [java]     at scala.Option.flatMap(Option.scala:171)
     [java]     at za.co.absa.spline.harvester.LineageHarvester.harvest(LineageHarvester.scala:69)
     [java]     at za.co.absa.spline.harvester.QueryExecutionEventHandler.onSuccess(QueryExecutionEventHandler.scala:41)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener$$anonfun$onSuccess$1.apply(SplineQueryExecutionListener.scala:37)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener$$anonfun$onSuccess$1.apply(SplineQueryExecutionListener.scala:37)
     [java]     at scala.Option.foreach(Option.scala:257)
     [java]     at za.co.absa.spline.harvester.listener.SplineQueryExecutionListener.onSuccess(SplineQueryExecutionListener.scala:37)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1$$anonfun$apply$mcV$sp$1.apply(QueryExecutionListener.scala:114)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1$$anonfun$apply$mcV$sp$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling$1.apply(QueryExecutionListener.scala:135)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling$1.apply(QueryExecutionListener.scala:133)
     [java]     at scala.collection.immutable.List.foreach(List.scala:392)
     [java]     at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
     [java]     at scala.collection.mutable.ListBuffer.foreach(ListBuffer.scala:45)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.org$apache$spark$sql$util$ExecutionListenerManager$$withErrorHandling(QueryExecutionListener.scala:133)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply$mcV$sp(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager$$anonfun$onSuccess$1.apply(QueryExecutionListener.scala:113)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.readLock(QueryExecutionListener.scala:146)
     [java]     at org.apache.spark.sql.util.ExecutionListenerManager.onSuccess(QueryExecutionListener.scala:112)
     [java]     at org.apache.spark.sql.DataFrameWriter.runCommand(DataFrameWriter.scala:611)
     [java]     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:233)
     [java]     at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:217)
     [java]     at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:508)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1$.delayedEndpoint$za$co$absa$spline$example$batch$CumminsJob1$1(CumminsJob1.scala:248)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1$delayedInit$body.apply(CumminsJob1.scala:19)
     [java]     at scala.Function0$class.apply$mcV$sp(Function0.scala:34)
     [java]     at scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12)
     [java]     at scala.App$$anonfun$main$1.apply(App.scala:76)
     [java]     at scala.App$$anonfun$main$1.apply(App.scala:76)
     [java]     at scala.collection.immutable.List.foreach(List.scala:392)
     [java]     at scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:35)
     [java]     at scala.App$class.main(App.scala:76)
     [java]     at za.co.absa.spline.example.SparkApp.main(SparkApp.scala:27)
     [java]     at za.co.absa.spline.example.batch.CumminsJob1.main(CumminsJob1.scala)
     [java] 20/02/26 16:20:41 INFO SparkContext: Invoking stop() from shutdown hook
     [java] 20/02/26 16:20:41 INFO SparkUI: Stopped Spark web UI at http://192.168.1.3:4040
     [java] 20/02/26 16:20:41 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
     [java] 20/02/26 16:20:42 INFO MemoryStore: MemoryStore cleared
     [java] 20/02/26 16:20:42 INFO BlockManager: BlockManager stopped
     [java] 20/02/26 16:20:42 INFO BlockManagerMaster: BlockManagerMaster stopped
     [java] 20/02/26 16:20:42 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!

I ran the script on all the compatible spark versions.

Thanks,
Tufail

cerveada · 2020-02-26T10:58:07Z

Hello, which version of spark-excel library are you using?

Qurashetufail · 2020-02-26T11:04:10Z

I am running this on below dependency.

<dependency>
 <groupId>com.crealytics</groupId>
 <artifactId>spark-excel_2.11</artifactId>
 <version>0.9.6</version>
</dependency>

First I ran the code on the given pom.xml in 0.4.2v. I started facing this issue nightscape/spark-excel#119

cerveada · 2020-02-26T11:37:40Z

Could you try to update the spark-excel version to the latest version0.13.0?

Qurashetufail · 2020-02-26T11:46:47Z

After updating, I am getting the same issue mentioned above.
nightscape/spark-excel#119.
I will try to check why this issue is occurring later. Will update the case when I do.

Thanks,
Tufail

cerveada · 2020-02-26T12:05:31Z

Ok, I added the support for Spark Excel, but that doesn't mean it will work for all past version. But I expect it will work at least for 0.12.x and 0.13.x.

Qurashetufail · 2020-02-26T12:43:00Z

Thank you for your help. Its the issue now the with excel package. nightscape/spark-excel#137
I will update the case with the working confirmation.
Thanks,
Tufail

Qurashetufail · 2020-02-26T21:00:58Z

Thanks mate its working now.

Qurashetufail added the question label Feb 13, 2020

wajda removed the question label Feb 13, 2020

wajda modified the milestones: bug, 0.5.0 Feb 13, 2020

wajda added the bug label Feb 13, 2020

wajda modified the milestones: 0.5.0, 0.4.2 Feb 13, 2020

wajda added the component: Agent for Spark label Feb 13, 2020

cerveada self-assigned this Feb 14, 2020

cerveada changed the title ~~Relation is not supported~~ Excel Relation is not supported Feb 17, 2020

AbsaOSS deleted a comment from Qurashetufail Feb 21, 2020

AbsaOSS deleted a comment from cerveada Feb 21, 2020

cerveada added a commit that referenced this issue Feb 21, 2020

spline #588 support for spark excel

42ebe45

cerveada added a commit that referenced this issue Feb 24, 2020

spline #588 support for spark excel - (Spark 2.2 & 2.3)

87dce9e

cerveada added a commit that referenced this issue Feb 25, 2020

spline #588 support for spark excel - (Spark 2.2 & 2.3)

59a87da

cerveada added a commit that referenced this issue Feb 25, 2020

spline #588 code review changes

2d16174

cerveada added a commit that referenced this issue Feb 25, 2020

Bugfix/0.4/spline 588 excel relation support (#601)

036dc90

* spline #588 support for spark excel

wajda closed this as completed Feb 25, 2020

wajda mentioned this issue May 5, 2020

java.lang.NumberFormatException: Not a version: 9 AbsaOSS/spline-spark-agent#42

Closed

wajda added the st-6-closed-549f90fb label Apr 1, 2022

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Excel Relation is not supported #588

Excel Relation is not supported #588

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Excel Relation is not supported #588

Excel Relation is not supported #588

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