[jira] [Commented] (SPARK-16803) SaveAsTable does not work when source DataFrame is built on a Hive Table
[ https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16333297#comment-16333297 ] Xiao Li commented on SPARK-16803: - [~Tagar] It has been resolved by https://issues.apache.org/jira/browse/SPARK-19152 > SaveAsTable does not work when source DataFrame is built on a Hive Table > > > Key: SPARK-16803 > URL: https://issues.apache.org/jira/browse/SPARK-16803 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.0 >Reporter: Xiao Li >Assignee: Xiao Li >Priority: Major > Fix For: 2.1.0 > > > {noformat} > scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as > key, 'abc' as value") > res2: org.apache.spark.sql.DataFrame = [] > scala> val df = sql("select key, value as value from sample.sample") > df: org.apache.spark.sql.DataFrame = [key: int, value: string] > scala> df.write.mode("append").saveAsTable("sample.sample") > scala> sql("select * from sample.sample").show() > +---+-+ > |key|value| > +---+-+ > | 1| abc| > | 1| abc| > +---+-+ > {noformat} > In Spark 1.6, it works, but Spark 2.0 does not work. The error message from > Spark 2.0 is > {noformat} > scala> df.write.mode("append").saveAsTable("sample.sample") > org.apache.spark.sql.AnalysisException: Saving data in MetastoreRelation > sample, sample > is not supported.; > {noformat} > So far, we do not plan to support it in Spark 2.0. Spark 1.6 works because it > internally uses {{insertInto}}. But, if we change it back it will break the > semantic of {{saveAsTable}} (this method uses by-name resolution instead of > using by-position resolution used by {{insertInto}}). > Instead, users should use {{insertInto}} API. We should correct the error > messages. Users can understand how to bypass it before we support it. -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-16803) SaveAsTable does not work when source DataFrame is built on a Hive Table
[ https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16075178#comment-16075178 ] Ruslan Dautkhanov commented on SPARK-16803: --- Any chance `saveAsTable` can be reverted to use `insertInto()`? Like it was in Spark 1.6. So this will fix the problem. The PR only changed error message, not underlying root cause problem. Thanks. > SaveAsTable does not work when source DataFrame is built on a Hive Table > > > Key: SPARK-16803 > URL: https://issues.apache.org/jira/browse/SPARK-16803 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.0 >Reporter: Xiao Li >Assignee: Xiao Li > Fix For: 2.1.0 > > > {noformat} > scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as > key, 'abc' as value") > res2: org.apache.spark.sql.DataFrame = [] > scala> val df = sql("select key, value as value from sample.sample") > df: org.apache.spark.sql.DataFrame = [key: int, value: string] > scala> df.write.mode("append").saveAsTable("sample.sample") > scala> sql("select * from sample.sample").show() > +---+-+ > |key|value| > +---+-+ > | 1| abc| > | 1| abc| > +---+-+ > {noformat} > In Spark 1.6, it works, but Spark 2.0 does not work. The error message from > Spark 2.0 is > {noformat} > scala> df.write.mode("append").saveAsTable("sample.sample") > org.apache.spark.sql.AnalysisException: Saving data in MetastoreRelation > sample, sample > is not supported.; > {noformat} > So far, we do not plan to support it in Spark 2.0. Spark 1.6 works because it > internally uses {{insertInto}}. But, if we change it back it will break the > semantic of {{saveAsTable}} (this method uses by-name resolution instead of > using by-position resolution used by {{insertInto}}). > Instead, users should use {{insertInto}} API. We should correct the error > messages. Users can understand how to bypass it before we support it. -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-16803) SaveAsTable does not work when source DataFrame is built on a Hive Table
[ https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15675507#comment-15675507 ] Apache Spark commented on SPARK-16803: -- User 'gatorsmile' has created a pull request for this issue: https://github.com/apache/spark/pull/15926 > SaveAsTable does not work when source DataFrame is built on a Hive Table > > > Key: SPARK-16803 > URL: https://issues.apache.org/jira/browse/SPARK-16803 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.0 >Reporter: Xiao Li > > {noformat} > scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as > key, 'abc' as value") > res2: org.apache.spark.sql.DataFrame = [] > scala> val df = sql("select key, value as value from sample.sample") > df: org.apache.spark.sql.DataFrame = [key: int, value: string] > scala> df.write.mode("append").saveAsTable("sample.sample") > scala> sql("select * from sample.sample").show() > +---+-+ > |key|value| > +---+-+ > | 1| abc| > | 1| abc| > +---+-+ > {noformat} > In Spark 1.6, it works, but Spark 2.0 does not work. The error message from > Spark 2.0 is > {noformat} > scala> df.write.mode("append").saveAsTable("sample.sample") > org.apache.spark.sql.AnalysisException: Saving data in MetastoreRelation > sample, sample > is not supported.; > {noformat} > So far, we do not plan to support it in Spark 2.0. Spark 1.6 works because it > internally uses {{insertInto}}. But, if we change it back it will break the > semantic of {{saveAsTable}} (this method uses by-name resolution instead of > using by-position resolution used by {{insertInto}}). > Instead, users should use {{insertInto}} API. We should correct the error > messages. Users can understand how to bypass it before we support it. -- 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-16803) SaveAsTable does not work when source DataFrame is built on a Hive Table
[ https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15418096#comment-15418096 ] Apache Spark commented on SPARK-16803: -- User 'gatorsmile' has created a pull request for this issue: https://github.com/apache/spark/pull/14612 > SaveAsTable does not work when source DataFrame is built on a Hive Table > > > Key: SPARK-16803 > URL: https://issues.apache.org/jira/browse/SPARK-16803 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.0 >Reporter: Xiao Li > > {noformat} > scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as > key, 'abc' as value") > res2: org.apache.spark.sql.DataFrame = [] > scala> val df = sql("select key, value as value from sample.sample") > df: org.apache.spark.sql.DataFrame = [key: int, value: string] > scala> df.write.mode("append").saveAsTable("sample.sample") > scala> sql("select * from sample.sample").show() > +---+-+ > |key|value| > +---+-+ > | 1| abc| > | 1| abc| > +---+-+ > {noformat} > In Spark 1.6, it works, but Spark 2.0 does not work. The error message from > Spark 2.0 is > {noformat} > scala> df.write.mode("append").saveAsTable("sample.sample") > org.apache.spark.sql.AnalysisException: Saving data in MetastoreRelation > sample, sample > is not supported.; > {noformat} > So far, we do not plan to support it in Spark 2.0. Spark 1.6 works because it > internally uses {{insertInto}}. But, if we change it back it will break the > semantic of {{saveAsTable}} (this method uses by-name resolution instead of > using by-position resolution used by {{insertInto}}). > Instead, users should use {{insertInto}} API. We should correct the error > messages. Users can understand how to bypass it before we support it. -- 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-16803) SaveAsTable does not work when source DataFrame is built on a Hive Table
[ https://issues.apache.org/jira/browse/SPARK-16803?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15400029#comment-15400029 ] Apache Spark commented on SPARK-16803: -- User 'gatorsmile' has created a pull request for this issue: https://github.com/apache/spark/pull/14410 > SaveAsTable does not work when source DataFrame is built on a Hive Table > > > Key: SPARK-16803 > URL: https://issues.apache.org/jira/browse/SPARK-16803 > Project: Spark > Issue Type: Bug > Components: SQL >Affects Versions: 2.0.0 >Reporter: Xiao Li > > {noformat} > scala> sql("create table sample.sample stored as SEQUENCEFILE as select 1 as > key, 'abc' as value") > res2: org.apache.spark.sql.DataFrame = [] > scala> val df = sql("select key, value as value from sample.sample") > df: org.apache.spark.sql.DataFrame = [key: int, value: string] > scala> df.write.mode("append").saveAsTable("sample.sample") > scala> sql("select * from sample.sample").show() > +---+-+ > |key|value| > +---+-+ > | 1| abc| > | 1| abc| > +---+-+ > {noformat} > In Spark 1.6, it works, but Spark 2.0 does not work. The error message from > Spark 2.0 is > {noformat} > scala> df.write.mode("append").saveAsTable("sample.sample") > org.apache.spark.sql.AnalysisException: Saving data in MetastoreRelation > sample, sample > is not supported.; > {noformat} > So far, we do not plan to support it in Spark 2.0. Spark 1.6 works because it > internally uses {{insertInto}}. But, if we change it back it will break the > semantic of {{saveAsTable}} (this method uses by-name resolution instead of > using by-position resolution used by {{insertInto}}). > Instead, users should use {{insertInto}} API. We should correct the error > messages. Users can understand how to bypass it before we support it. -- 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