Chen Gong created SPARK-20851:
---------------------------------
Summary: Drop spark table failed if a column name is a numeric
string
Key: SPARK-20851
URL: https://issues.apache.org/jira/browse/SPARK-20851
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.1.0
Environment: linux redhat
Reporter: Chen Gong
I tried to read a json file to a spark dataframe
{noformat}
df = spark.read.json('path.json')
df.write.parquet('dataframe', compression='snappy')
{noformat}
However, there are some columns' names are numeric strings, such as
"989238883". Then I created spark sql table by using this
{noformat}
create table if not exists `a` using org.apache.spark.sql.parquet options (path
'dataframe'); // It works well
{noformat}
But after created table, any operations, like select, drop table on this table
will raise the same exceptions below
{noformat}
org.apache.spark.SparkException: Cannot recognize hive type string:
array<struct<X:string,added_tags:array<string>,assignee_id:bigint,attachments:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,thumbnails:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,url:string,width:bigint>>,url:string,width:bigint>>,audit_id:bigint,author_id:bigint,body:string,brand_id:string,created_at:string,custom_ticket_fields:struct<49244727:string,51588527:string,51591767:string,51950848:string,51950868:string,51950888:string,51950928:string,52359587:string,55276747:string,56958227:string,57080067:string,57080667:string,57107727:string,57112447:string,57113207:string,57411128:string,57424648:string,57442588:string,62382188:string,74862088:string,74871788:string>,event_type:string,group_id:bigint,html_body:string,id:bigint,is_public:string,locale_id:string,organization_id:string,plain_body:string,previous_value:string,priority:string,public:boolean,rel:string,removed_tags:array<string>,requester_id:bigint,satisfaction_probability:string,satisfaction_score:string,sla_policy:string,status:string,tags:array<string>,ticket_form_id:string,type:string,via:string,via_reference_id:bigint>>
at
org.apache.spark.sql.hive.client.HiveClientImpl.org$apache$spark$sql$hive$client$HiveClientImpl$$fromHiveColumn(HiveClientImpl.scala:785)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$10$$anonfun$7.apply(HiveClientImpl.scala:365)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$10$$anonfun$7.apply(HiveClientImpl.scala:365)
at
scala.collection.TraversableLike$$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$$anonfun$apply$10.apply(HiveClientImpl.scala:365)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$10.apply(HiveClientImpl.scala:361)
at scala.Option.map(Option.scala:146)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:361)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1.apply(HiveClientImpl.scala:359)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$withHiveState$1.apply(HiveClientImpl.scala:283)
at
org.apache.spark.sql.hive.client.HiveClientImpl.liftedTree1$1(HiveClientImpl.scala:230)
at
org.apache.spark.sql.hive.client.HiveClientImpl.retryLocked(HiveClientImpl.scala:229)
at
org.apache.spark.sql.hive.client.HiveClientImpl.withHiveState(HiveClientImpl.scala:272)
at
org.apache.spark.sql.hive.client.HiveClientImpl.getTableOption(HiveClientImpl.scala:359)
at
org.apache.spark.sql.hive.client.HiveClient$class.getTable(HiveClient.scala:76)
at
org.apache.spark.sql.hive.client.HiveClientImpl.getTable(HiveClientImpl.scala:78)
at
org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:110)
at
org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable$1.apply(HiveExternalCatalog.scala:110)
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:95)
at
org.apache.spark.sql.hive.HiveExternalCatalog.org$apache$spark$sql$hive$HiveExternalCatalog$$getRawTable(HiveExternalCatalog.scala:109)
at
org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:601)
at
org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$getTable$1.apply(HiveExternalCatalog.scala:601)
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:95)
at
org.apache.spark.sql.hive.HiveExternalCatalog.getTable(HiveExternalCatalog.scala:600)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.getTableMetadata(SessionCatalog.scala:290)
at
org.apache.spark.sql.execution.command.DropTableCommand.run(ddl.scala:191)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:58)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)
at
org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(commands.scala:74)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)
at
org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)
at
org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151)
at
org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132)
at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113)
at
org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)
at
org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87)
at org.apache.spark.sql.Dataset.<init>(Dataset.scala:185)
at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64)
at org.apache.spark.sql.SparkSession.sql(SparkSession.scala:592)
at org.apache.spark.sql.SQLContext.sql(SQLContext.scala:699)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:62)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:335)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:376)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:247)
at
org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at
sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:738)
at
org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: org.apache.spark.sql.catalyst.parser.ParseException:
mismatched input '49244727' expecting '>'(line 1, pos 540)
== SQL ==
array<struct<X:string,added_tags:array<string>,assignee_id:bigint,attachments:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,thumbnails:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,url:string,width:bigint>>,url:string,width:bigint>>,audit_id:bigint,author_id:bigint,body:string,brand_id:string,created_at:string,custom_ticket_fields:struct<49244727:string,51588527:string,51591767:string,51950848:string,51950868:string,51950888:string,51950928:string,52359587:string,55276747:string,56958227:string,57080067:string,57080667:string,57107727:string,57112447:string,57113207:string,57411128:string,57424648:string,57442588:string,62382188:string,74862088:string,74871788:string>,event_type:string,group_id:bigint,html_body:string,id:bigint,is_public:string,locale_id:string,organization_id:string,plain_body:string,previous_value:string,priority:string,public:boolean,rel:string,removed_tags:array<string>,requester_id:bigint,satisfaction_probability:string,satisfaction_score:string,sla_policy:string,status:string,tags:array<string>,ticket_form_id:string,type:string,via:string,via_reference_id:bigint>>
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------^^^
at
org.apache.spark.sql.catalyst.parser.ParseException.withCommand(ParseDriver.scala:197)
at
org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parse(ParseDriver.scala:99)
at
org.apache.spark.sql.catalyst.parser.AbstractSqlParser.parseDataType(ParseDriver.scala:37)
at
org.apache.spark.sql.hive.client.HiveClientImpl.org$apache$spark$sql$hive$client$HiveClientImpl$$fromHiveColumn(HiveClientImpl.scala:782)
... 61 more
org.apache.spark.SparkException: Cannot recognize hive type string:
array<struct<X:string,added_tags:array<string>,assignee_id:bigint,attachments:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,thumbnails:array<struct<content_type:string,content_url:string,file_name:string,height:bigint,id:bigint,inline:boolean,mapped_content_url:string,size:bigint,url:string,width:bigint>>,url:string,width:bigint>>,audit_id:bigint,author_id:bigint,body:string,brand_id:string,created_at:string,custom_ticket_fields:struct<49244727:string,51588527:string,51591767:string,51950848:string,51950868:string,51950888:string,51950928:string,52359587:string,55276747:string,56958227:string,57080067:string,57080667:string,57107727:string,57112447:string,57113207:string,57411128:string,57424648:string,57442588:string,62382188:string,74862088:string,74871788:string>,event_type:string,group_id:bigint,html_body:string,id:bigint,is_public:string,locale_id:string,organization_id:string,plain_body:string,previous_value:string,priority:string,public:boolean,rel:string,removed_tags:array<string>,requester_id:bigint,satisfaction_probability:string,satisfaction_score:string,sla_policy:string,status:string,tags:array<string>,ticket_form_id:string,type:string,via:string,via_reference_id:bigint>>
at
org.apache.spark.sql.hive.client.HiveClientImpl.org$apache$spark$sql$hive$client$HiveClientImpl$$fromHiveColumn(HiveClientImpl.scala:785)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$10$$anonfun$7.apply(HiveClientImpl.scala:365)
at
org.apache.spark.sql.hive.client.HiveClientImpl$$anonfun$getTableOption$1$$anonfun$apply$10$$anonfun$7.apply(HiveClientImpl.scala:365)
at
scala.collection.TraversableLike$$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)
{noformat}
Everything was fine after I deleted these columns in json file and redo all
steps above.
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