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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2015/06/06 08:13:00 UTC
[jira] [Created] (SPARK-8138) Error message for discovered
conflicting partition columns is not intuitive
Cheng Lian created SPARK-8138:
---------------------------------
Summary: Error message for discovered conflicting partition columns is not intuitive
Key: SPARK-8138
URL: https://issues.apache.org/jira/browse/SPARK-8138
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 1.3.1, 1.3.0, 1.4.0
Reporter: Cheng Lian
Assignee: Cheng Lian
Priority: Minor
For data stored as a Hive-style partitioned table, data files should only live in leaf partition directories.
For example, the following directory layout is illegal:
{noformat}
.
├── _SUCCESS
├── b=0
│ ├── c=0
│ │ └── part-r-00004.gz.parquet
│ └── part-r-00004.gz.parquet
└── b=1
├── c=1
│ └── part-r-00008.gz.parquet
└── part-r-00008.gz.parquet
{noformat}
For now, we give an unintuitive error message like this:
{noformat}
Conflicting partition column names detected:
ArrayBuffer(b, c)
ArrayBuffer(b)
{noformat}
This should be improved.
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