[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Please refer the superset in #17980 . --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 BTW, the latest version is maintained in #17980. Recently, Spark Vector format is changed. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Hi, I didn't try that, but that's not a concept of Spark data source table. Please don't expect that. :) --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user cenyuhai commented on the issue: https://github.com/apache/spark/pull/17924 @dongjoon-hyun I have a question: does this orc data sources reader support a table contains multiple file format for example: table/ day=2017-09-01 RCFile day=2017-09-02 ORCFile ParquetFileFormat doesn't support this feature. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Retest this please. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
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[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Retest this please. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Hi, All. For further discussion and easy comparision, I made another PR (#17943) except `ColumnarBatch`. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Hi, @rxin , @marmbrus , @gatorsmile , @sameeragarwal . Could you give us your opinions on this approach in Spark SQL part, too? --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 Yep. Since this is an approach adding new dependency on Apache ORC, the non-vectorized PR also will need more supports(or approval) from the committers. I'll wait for more opinions at the current status for a while. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/17924 @dongjoon-hyun It is good for me. We can reduce the size of this PR too and mitigate review job. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/17924 @cloud-fan and @viirya . Shall we remove the vectorized part from this PR? - The non-vectorized ORCFileFormat is mandatory and also the performance is better than the current one. - After merging `sql/core` ORCFileFormat, many people (including @viirya and me) can work together in parallel. How do you think about that? --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user viirya commented on the issue: https://github.com/apache/spark/pull/17924 From the current benchmark, seems the performance has not obvious improvement, compared with the vectorized Hive ORC reader #13775. Maybe with more efficient batch approach as @cloud-fan suggested, it can perform better. Besides performance, getting rid of Hive dependency on ORC datasource is a great advantage for this. --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/17924 **[Test build #76693 has finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/76693/testReport)** for PR 17924 at commit [`8bfd4bb`](https://github.com/apache/spark/commit/8bfd4bb4aec6dc3a5e7f41ec8d5c2a25f14ab87b). * This patch **fails to generate documentation**. * This patch merges cleanly. * This patch adds the following public classes _(experimental)_: * `class OrcColumnarBatchReader extends RecordReader[Void, ColumnarBatch] with Logging ` * `class OrcRecordIterator extends Iterator[InternalRow] with Logging ` --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #17924: [SPARK-20682][SQL] Support a new faster ORC data source ...
Github user SparkQA commented on the issue: https://github.com/apache/spark/pull/17924 **[Test build #76693 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/76693/testReport)** for PR 17924 at commit [`8bfd4bb`](https://github.com/apache/spark/commit/8bfd4bb4aec6dc3a5e7f41ec8d5c2a25f14ab87b). --- 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 feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
