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[SPARK-6016][SQL] Cannot read the parquet table after overwriting the existing table when spark.sql.parquet.cacheMetadata=true #4775

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[SPARK-6016][SQL] Cannot read the parquet table after overwriting the existing table when spark.sql.parquet.cacheMetadata=true #4775

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yhuai
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@yhuai yhuai commented Feb 25, 2015

Please see JIRA (https://issues.apache.org/jira/browse/SPARK-6016) for details of the bug.

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yhuai commented Feb 25, 2015

@liancheng Can we remove FilteringParquetRowInputFormat since task side split is in parquet? If you think it is good, we can do it in another PR.

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SparkQA commented Feb 26, 2015

Test build #27966 has finished for PR 4775 at commit 1541554.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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@yhuai As long as we decide to completely deprecate client side metadata reading, it's OK to remove FilteringParquetInputFormat.

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@yhuai Actually, as we discussed offline, FilteringParquetRowInputFormat is still necessary, as we have to do schema merging in getSplits to prevent the exception thrown in SPARK-6010

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This LGTM, please help rebasing it, then I can merge it.

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SparkQA commented Feb 26, 2015

Test build #28006 has finished for PR 4775 at commit 78787b1.

  • This patch passes all tests.
  • This patch merges cleanly.
  • This patch adds no public classes.

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Merging into master and branch-1.3, thanks!

@asfgit asfgit closed this in 192e42a Feb 26, 2015
asfgit pushed a commit that referenced this pull request Feb 26, 2015
@yhuai @liancheng
[SPARK-6016][SQL] Cannot read the parquet table after overwriting the…
b5c5e93 
… existing table when spark.sql.parquet.cacheMetadata=true

Please see JIRA (https://issues.apache.org/jira/browse/SPARK-6016) for details of the bug.

Author: Yin Huai <[email protected]>

Closes #4775 from yhuai/parquetFooterCache and squashes the following commits:

78787b1 [Yin Huai] Remove footerCache in FilteringParquetRowInputFormat.
dff6fba [Yin Huai] Failed unit test.

(cherry picked from commit 192e42a)
Signed-off-by: Cheng Lian <[email protected]>
@liancheng liancheng mentioned this pull request Feb 26, 2015
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@karthikgolagani
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Hi lian, if you are using sparkContext(sc), you can set ("parquet.enable.summary-metadata", "false") like below:

sc.("parquet.enable.summary-metadata", "false"). This fixed my issue instantly .
I did it in my spark streaming application.

WARN ParquetOutputCommitter: could not write summary file for hdfs://localhost/user/hive/warehouse java.lang.NullPointerException

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@yhuai @SparkQA @liancheng @karthikgolagani