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Posted to issues@spark.apache.org by "Xiao Li (JIRA)" <ji...@apache.org> on 2019/05/31 17:50:01 UTC
[jira] [Updated] (SPARK-21529) Improve the error message for
unsupported Uniontype
[ https://issues.apache.org/jira/browse/SPARK-21529?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiao Li updated SPARK-21529:
----------------------------
Summary: Improve the error message for unsupported Uniontype (was: Uniontype not supported when reading from Hive tables.)
> Improve the error message for unsupported Uniontype
> ---------------------------------------------------
>
> Key: SPARK-21529
> URL: https://issues.apache.org/jira/browse/SPARK-21529
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.1.0
> Environment: Qubole, DataBricks
> Reporter: Elliot West
> Priority: Major
> Labels: bulk-closed, hive, uniontype
>
> We encounter errors when attempting to read Hive tables whose schema contains the {{uniontype}}. It appears perhaps that Catalyst
> does not support the {{uniontype}} which renders this table unreadable by Spark (2.1). Although, {{uniontype}} is arguably incomplete in the Hive
> query engine, it is fully supported by the storage engine and also the Avro data format, which we use for these tables. Therefore, I believe it is
> a valid, usable type construct that should be supported by Spark.
> We've attempted to read the table as follows:
> {code}
> spark.sql("select * from etl.tbl where acquisition_instant='20170706T133545Z' limit 5").show
> val tblread = spark.read.table("etl.tbl")
> {code}
> But this always results in the same error message. The pertinent error messages are as follows (full stack trace below):
> {code}
> org.apache.spark.SparkException: Cannot recognize hive type string: uniontype<struct<a:array<uniontype<struct<b: ...
> ...
> Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
> mismatched input '<' expecting
> {<EOF>, '('}
> (line 1, pos 9)
> == SQL ==
> uniontype<struct<a:array<uniontype<struct<b: ...
> ---------^^^
> {code}
> h2. Full stack trace
> {code}
> org.apache.spark.SparkException: Cannot recognize hive type string: uniontype<struct<a:array<uniontype<struct<b:float,c:float,d:double,e:string,f:string,g:string,h:string,i:string,j:string,k:double,l:double,m:string>>>,n:boolean,o:string,p:bigint,q:string>,struct<r:array<struct<s:string,t:array<uniontype<struct<u:float,v:float,w:double,x:string,y:string,z:string,aa:string,ab:string,ac:string,ad:double,ae:double,af:string>>>>>,ag:boolean,ah:string,ai:bigint,aj:string>>
> at org.apache.spark.sql.hive.client.HiveClientImpl$.fromHiveColumn(HiveClientImpl.scala:800)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:377)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:377)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:377)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:373)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:373)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:371)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:290)
> at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:231)
> at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:230)
> at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:273)
> at org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:371)
> at org.apache.spark.sql.hive.client.HiveClient$class.getTable(HiveClient.scala:74)
> at org.apache.spark.sql.hive.client.HiveClientImpl.getTable(HiveClientImpl.scala:79)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable(HiveExternalCatalog.scala:117)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:648)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:648)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at org.apache.spark.sql.hive.HiveExternalCatalog.getTable(HiveExternalCatalog.scala:647)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupRelation(SessionCatalog.scala:681)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:622)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:618)
> at org.apache.spark.sql.DataFrameReader.table(DataFrameReader.scala:627)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:43)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:50)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:52)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:54)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:56)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:58)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw.<init>(<console>:60)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw.<init>(<console>:62)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw.<init>(<console>:64)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw.<init>(<console>:66)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$eval$.$print$lzycompute(<console>:7)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$eval$.$print(<console>:6)
> Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
> mismatched input '<' expecting
> {<EOF>, '('}
> (line 1, pos 9)
> == SQL ==
> uniontype<struct<a:array<uniontype<struct<b:float,c:float,d:double,e:string,f:string,g:string,h:string,i:string,j:string,k:double,l:double,m:string>>>,n:boolean,o:string,p:bigint,q:string>,struct<r:array<struct<s:string,t:array<uniontype<struct<u:float,v:float,w:double,x:string,y:string,z:string,aa:string,ab:string,ac:string,ad:double,ae:double,af:string>>>>>,ag:boolean,ah:string,ai:bigint,aj:string>>
> ---------^^^
> at org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:217)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:114)
> at org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseDataType(ParseDriver.scala:38)
> at org.apache.spark.sql.hive.client.HiveClientImpl$.fromHiveColumn(HiveClientImpl.scala:797)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:377)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11$$anonfun$7.apply(HiveClientImpl.scala:377)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> at scala.collection.Iterator$class.foreach(Iterator.scala:893)
> at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:377)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$11.apply(HiveClientImpl.scala:373)
> at scala.Option.map(Option.scala:146)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:373)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:371)
> at org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:290)
> at org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:231)
> at org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:230)
> at org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:273)
> at org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:371)
> at org.apache.spark.sql.hive.client.HiveClient$class.getTable(HiveClient.scala:74)
> at org.apache.spark.sql.hive.client.HiveClientImpl.getTable(HiveClientImpl.scala:79)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:118)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable(HiveExternalCatalog.scala:117)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:648)
> at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:648)
> at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
> at org.apache.spark.sql.hive.HiveExternalCatalog.getTable(HiveExternalCatalog.scala:647)
> at org.apache.spark.sql.catalyst.catalog.SessionCatalog.lookupRelation(SessionCatalog.scala:681)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:622)
> at org.apache.spark.sql.SparkSession.table(SparkSession.scala:618)
> at org.apache.spark.sql.DataFrameReader.table(DataFrameReader.scala:627)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:43)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:50)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:52)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:54)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw$$iw.<init>(<console>:56)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw$$iw.<init>(<console>:58)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw$$iw.<init>(<console>:60)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw$$iw.<init>(<console>:62)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw$$iw.<init>(<console>:64)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$read$$iw.<init>(<console>:66)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$eval$.$print$lzycompute(<console>:7)
> at linef5f6809a5e21434ea50b8ad706eb0e8e27.$eval$.$print(<console>:6)
> {code}
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