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https://issues.apache.org/jira/browse/SPARK-48649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan resolved SPARK-48649.
---------------------------------
Fix Version/s: 4.0.0
Resolution: Fixed
Issue resolved by pull request 47006
[https://github.com/apache/spark/pull/47006]
> Add "ignoreInvalidPartitionPaths" and
> "spark.sql.files.ignoreInvalidPartitionPaths" configs to allow ignoring
> invalid partition paths
> -------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-48649
> URL: https://issues.apache.org/jira/browse/SPARK-48649
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 4.0.0
> Reporter: Ivan Sadikov
> Assignee: Ivan Sadikov
> Priority: Major
> Labels: pull-request-available
> Fix For: 4.0.0
>
>
> When having a table directory with invalid partitions such as:
> {code:java}
> table/
> invalid/...
> part=1/...
> part=2/...
> part=3/...{code}
> a SQL query reading all of the partitions would fail with
> {code:java}
> java.lang.AssertionError: assertion failed: Conflicting directory structures
> detected. Suspicious paths:
> table
> table/invalid {code}
>
> I propose to add a data source option and Spark SQL config to ignore invalid
> partition paths. The config will be disabled by default to retain the current
> behaviour.
> {code:java}
> spark.conf.set("spark.sql.files.ignoreInvalidPartitionPaths", "true"){code}
> {code:java}
> spark.read.format("parquet").option("ignoreInvalidPartitionPaths",
> "true").load(...) {code}
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