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https://issues.apache.org/jira/browse/IMPALA-2005?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Zoltán Borók-Nagy updated IMPALA-2005:
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Target Version: Product Backlog, Impala 5.0.0 (was: Product Backlog)
> CTAS should not create table until insert succeeds
> --------------------------------------------------
>
> Key: IMPALA-2005
> URL: https://issues.apache.org/jira/browse/IMPALA-2005
> Project: IMPALA
> Issue Type: Bug
> Components: Catalog
> Affects Versions: Impala 1.4, Impala 1.4.1, Impala 2.0, Impala 2.0.1,
> Impala 2.1, Impala 2.1.1, Impala 2.2
> Reporter: Tomoaki Yano
> Priority: Major
> Labels: correctness, downgraded, ramp-up
>
> I checked create table like the following fails.
> (parquet_file_size is sample to make create table fail)
> sudo -u impala impala-shell -q "set parquet_file_size=10g; create table
> 59915_test stored as parquet as select * from sample_08;"
> But table/folder is created as followings.
> I think failed DDL should clean up table and its directory.
> Terminal Log
> --
> [root@nightly-2 ~]# sudo -u impala impala-shell -q "set
> parquet_file_size=10g; create table 59915_test stored as parquet as select *
> from sample_08;"
> Starting Impala Shell without Kerberos authentication
> Connected to nightly-2.ent.cloudera.com:21000
> Server version: impalad version 2.3.0-cdh5-INTERNAL RELEASE (build
> 03b1ea79d41c49617be46313ffe0f5f05b1b54f5)
> PARQUET_FILE_SIZE set to 10g
> Query: create table 59915_test stored as parquet as select * from sample_08
> WARNINGS: Failed to open HDFS file for writing:
> hdfs://nightly-1.ent.cloudera.com:8020/user/hive/warehouse/59915_test/_impala_insert_staging/d945ce65feede9a4_355731418cd694b9//.d945ce65feede9a4-355731418cd694ba_1653921013_dir/d945ce65feede9a4-355731418cd694ba_1805782816_data.0.parq
> Error(255): Unknown error 255
> :
> [nightly-2.ent.cloudera.com:21000] > select * from 59915_test;
> Query: select * from 59915_test
> Fetched 0 row(s) in 2.04s
> --
> *Workaround*
> The workaround is to manually delete the extraneous table and the
> corresponding HDFS directory.
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