[jira] [Commented] (SPARK-3807) SparkSql does not work for tables created using custom serde
[ https://issues.apache.org/jira/browse/SPARK-3807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14173430#comment-14173430 ] Apache Spark commented on SPARK-3807: - User 'adrian-wang' has created a pull request for this issue: https://github.com/apache/spark/pull/2821 SparkSql does not work for tables created using custom serde Key: SPARK-3807 URL: https://issues.apache.org/jira/browse/SPARK-3807 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.1.0 Reporter: chirag aggarwal Fix For: 1.1.1, 1.2.0 SparkSql crashes on selecting tables using custom serde. Example: CREATE EXTERNAL TABLE table_name PARTITIONED BY ( a int) ROW FORMAT 'SERDE org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer with serdeproperties(serialization.format=org.apache.thrift.protocol.TBinaryProtocol,serialization.class=ser_class) STORED AS SEQUENCEFILE; The following exception is seen on running a query like 'select * from table_name limit 1': ERROR CliDriver: org.apache.hadoop.hive.serde2.SerDeException: java.lang.NullPointerException at org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer.initialize(ThriftDeserializer.java:68) at org.apache.hadoop.hive.ql.plan.TableDesc.getDeserializer(TableDesc.java:80) at org.apache.spark.sql.hive.execution.HiveTableScan.addColumnMetadataToConf(HiveTableScan.scala:86) at org.apache.spark.sql.hive.execution.HiveTableScan.init(HiveTableScan.scala:100) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54) at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:280) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406) at org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:406) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:59) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:291) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.NullPointerException After fixing this issue, when some columns in the table were referred in the query, sparksql could not resolve those references. -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-3807) SparkSql does not work for tables created using custom serde
[ https://issues.apache.org/jira/browse/SPARK-3807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14160197#comment-14160197 ] chirag aggarwal commented on SPARK-3807: Pull request for this issue: https://github.com/apache/spark/pull/2674 SparkSql does not work for tables created using custom serde Key: SPARK-3807 URL: https://issues.apache.org/jira/browse/SPARK-3807 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.1.0 Reporter: chirag aggarwal Fix For: 1.1.1 SparkSql crashes on selecting tables using custom serde. The following exception is seen on running a query like 'select * from table_name limit 1': ERROR CliDriver: org.apache.hadoop.hive.serde2.SerDeException: java.lang.NullPointerException at org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer.initialize(ThriftDeserializer.java:68) at org.apache.hadoop.hive.ql.plan.TableDesc.getDeserializer(TableDesc.java:80) at org.apache.spark.sql.hive.execution.HiveTableScan.addColumnMetadataToConf(HiveTableScan.scala:86) at org.apache.spark.sql.hive.execution.HiveTableScan.init(HiveTableScan.scala:100) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54) at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:280) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406) at org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:406) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:59) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:291) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.NullPointerException -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-3807) SparkSql does not work for tables created using custom serde
[ https://issues.apache.org/jira/browse/SPARK-3807?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14160200#comment-14160200 ] Apache Spark commented on SPARK-3807: - User 'chiragaggarwal' has created a pull request for this issue: https://github.com/apache/spark/pull/2674 SparkSql does not work for tables created using custom serde Key: SPARK-3807 URL: https://issues.apache.org/jira/browse/SPARK-3807 Project: Spark Issue Type: Bug Components: SQL Affects Versions: 1.1.0 Reporter: chirag aggarwal Fix For: 1.1.1 SparkSql crashes on selecting tables using custom serde. The following exception is seen on running a query like 'select * from table_name limit 1': ERROR CliDriver: org.apache.hadoop.hive.serde2.SerDeException: java.lang.NullPointerException at org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer.initialize(ThriftDeserializer.java:68) at org.apache.hadoop.hive.ql.plan.TableDesc.getDeserializer(TableDesc.java:80) at org.apache.spark.sql.hive.execution.HiveTableScan.addColumnMetadataToConf(HiveTableScan.scala:86) at org.apache.spark.sql.hive.execution.HiveTableScan.init(HiveTableScan.scala:100) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188) at org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364) at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54) at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:280) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58) at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371) at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402) at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406) at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406) at org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:406) at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:59) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:291) at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226) at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source) at java.lang.reflect.Method.invoke(Unknown Source) at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: java.lang.NullPointerException -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
