[
https://issues.apache.org/jira/browse/SPARK-9762?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Xiao Li resolved SPARK-9762.
----------------------------
Resolution: Not A Problem
> ALTER TABLE cannot find column
> ------------------------------
>
> Key: SPARK-9762
> URL: https://issues.apache.org/jira/browse/SPARK-9762
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.4.1
> Environment: Ubuntu on AWS
> Reporter: Simeon Simeonov
>
> {{ALTER TABLE tbl CHANGE}} cannot find a column that {{DESCRIBE COLUMN}}
> lists.
> In the case of a table generated with {{HiveContext.read.json()}}, the output
> of {{DESCRIBE dimension_components}} is:
> {code}
> comp_config
> struct<adText:string,adTextLeft:string,background:string,brand:string,button_color:string,cta_side:string,cta_type:string,depth:string,fixed_under:string,light:string,mid_text:string,oneline:string,overhang:string,shine:string,style:string,style_secondary:string,style_small:string,type:string>
> comp_criteria string
> comp_data_model string
> comp_dimensions
> struct<data:string,integrations:array<string>,template:string,variation:bigint>
> comp_disabled boolean
> comp_id bigint
> comp_path string
> comp_placementData struct<mod:string>
> comp_slot_types array<string>
> {code}
> However, {{alter table dimension_components change comp_dimensions
> comp_dimensions
> struct<data:string,integrations:array<string>,template:string,variation:bigint,z:string>;}}
> fails with:
> {code}
> 15/08/08 23:13:07 ERROR exec.DDLTask:
> org.apache.hadoop.hive.ql.metadata.HiveException: Invalid column reference
> comp_dimensions
> at org.apache.hadoop.hive.ql.exec.DDLTask.alterTable(DDLTask.java:3584)
> at org.apache.hadoop.hive.ql.exec.DDLTask.execute(DDLTask.java:312)
> at org.apache.hadoop.hive.ql.exec.Task.executeTask(Task.java:153)
> at
> org.apache.hadoop.hive.ql.exec.TaskRunner.runSequential(TaskRunner.java:85)
> at org.apache.hadoop.hive.ql.Driver.launchTask(Driver.java:1503)
> at org.apache.hadoop.hive.ql.Driver.execute(Driver.java:1270)
> at org.apache.hadoop.hive.ql.Driver.runInternal(Driver.java:1088)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:911)
> at org.apache.hadoop.hive.ql.Driver.run(Driver.java:901)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:345)
> at
> org.apache.spark.sql.hive.client.ClientWrapper$$anonfun$runHive$1.apply(ClientWrapper.scala:326)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.withHiveState(ClientWrapper.scala:155)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.runHive(ClientWrapper.scala:326)
> at
> org.apache.spark.sql.hive.client.ClientWrapper.runSqlHive(ClientWrapper.scala:316)
> at
> org.apache.spark.sql.hive.HiveContext.runSqlHive(HiveContext.scala:473)
> ...
> {code}
> Meanwhile, {{SHOW COLUMNS in dimension_components}} lists two columns:
> {{col}} (which does not exist in the table) and {{z}}, which was just added.
> This suggests that DDL operations in Spark SQL use table metadata
> inconsistently.
> Full spark-sql output
> [here|https://gist.github.com/ssimeonov/636a25d6074a03aafa67].
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