[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2017-03-08 Thread tejasapatil
Github user tejasapatil commented on the issue: https://github.com/apache/spark/pull/15229 @carlos-verdes : Thanks for the information. This is moved under an umbrella jira (SPARK-19256) which has a proposal :

[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2017-03-06 Thread carlos-verdes
Github user carlos-verdes commented on the issue: https://github.com/apache/spark/pull/15229 Hi @rxin, In Hive you have two levels, the partition and the buckets. The partitons are translated to folders on HDFS, for example: ```bash

[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-10-13 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/15229 @tejasapatil how does HIve store partitioning files? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this

[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-29 Thread AmplabJenkins
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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-29 Thread AmplabJenkins
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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-29 Thread SparkQA
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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-29 Thread SparkQA
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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-24 Thread SparkQA
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[GitHub] spark issue #15229: [SPARK-17654] [SQL] Propagate bucketing information for ...

2016-09-23 Thread SparkQA
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