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https://issues.apache.org/jira/browse/SPARK-21617?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16113602#comment-16113602
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Marcelo Vanzin commented on SPARK-21617:
----------------------------------------
Here's the full test error from our internal build against 2.1:
{noformat}
15:11:29.602 WARN org.apache.spark.sql.hive.test.TestHiveExternalCatalog: Could
not alter schema of table `default`.`t1` in a Hive compatible way. Updating
Hive metastore in Spark SQL specific format.
[snip]
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Unable to alter
table. The following columns have types incompatible with the existing columns
in their respective positions :
c1
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:624)
at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:602)
- alter datasource table add columns - partitioned - csv *** FAILED ***
org.apache.spark.sql.AnalysisException:
org.apache.hadoop.hive.ql.metadata.HiveException: at least one column must be
specified for the table;
at
org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:107)
at
org.apache.spark.sql.hive.HiveExternalCatalog.alterTableSchema(HiveExternalCatalog.scala:656)
at
org.apache.spark.sql.catalyst.catalog.SessionCatalog.alterTableSchema(SessionCatalog.scala:372)
{noformat}
So the exception above is just a warning, and the problem seems to actually be
in how Spark is recovering from that situation (the exception handler in
{{HiveExternalCatalog.alterTableSchema}}).
> ALTER TABLE...ADD COLUMNS creates invalid metadata in Hive metastore for DS
> tables
> ----------------------------------------------------------------------------------
>
> Key: SPARK-21617
> URL: https://issues.apache.org/jira/browse/SPARK-21617
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.2.0
> Reporter: Marcelo Vanzin
>
> When you have a data source table and you run a "ALTER TABLE...ADD COLUMNS"
> query, Spark will save invalid metadata to the Hive metastore.
> Namely, it will overwrite the table's schema with the data frame's schema;
> that is not desired for data source tables (where the schema is stored in a
> table property instead).
> Moreover, if you use a newer metastore client where
> METASTORE_DISALLOW_INCOMPATIBLE_COL_TYPE_CHANGES is on by default, you
> actually get an exception:
> {noformat}
> InvalidOperationException(message:The following columns have types
> incompatible with the existing columns in their respective positions :
> c1)
> at
> org.apache.hadoop.hive.metastore.MetaStoreUtils.throwExceptionIfIncompatibleColTypeChange(MetaStoreUtils.java:615)
> at
> org.apache.hadoop.hive.metastore.HiveAlterHandler.alterTable(HiveAlterHandler.java:133)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.alter_table_core(HiveMetaStore.java:3704)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStore$HMSHandler.alter_table_with_environment_context(HiveMetaStore.java:3675)
> 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.hadoop.hive.metastore.RetryingHMSHandler.invokeInternal(RetryingHMSHandler.java:140)
> at
> org.apache.hadoop.hive.metastore.RetryingHMSHandler.invoke(RetryingHMSHandler.java:99)
> at com.sun.proxy.$Proxy26.alter_table_with_environment_context(Unknown
> Source)
> at
> org.apache.hadoop.hive.metastore.HiveMetaStoreClient.alter_table_with_environmentContext(HiveMetaStoreClient.java:402)
> at
> org.apache.hadoop.hive.ql.metadata.SessionHiveMetaStoreClient.alter_table_with_environmentContext(SessionHiveMetaStoreClient.java:309)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.invoke(RetryingMetaStoreClient.java:154)
> at com.sun.proxy.$Proxy27.alter_table_with_environmentContext(Unknown
> Source)
> at org.apache.hadoop.hive.ql.metadata.Hive.alterTable(Hive.java:601)
> {noformat}
> That exception is handled by Spark in an odd way (see code in
> {{HiveExternalCatalog.scala}}) which still stores invalid metadata.
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