[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17185617#comment-17185617 ] Cheng Su commented on SPARK-19256: -- Hi all, after discussion with [~cloud_fan], we decide to support Hive bucketed table write path. Specifically: 1.for Hive 3.x.y, writing Hive bucketed table with Hive murmur3hash. 2.for Hive 2.x.y and 1.x.y, writing Hive bucketed table with Hive hivehash. 3.zero or multiple files per bucket should be expected by user. This is compatible with Hive and Presto (presto-sql for now), so user can be benefitted from writing Hive bucketed table correctly from Spark, and read bucketed table efficiently from Presto and Hive. See JIRA description for details, and I will work on each sub-tasks, thanks. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > Update (2020 by Cheng Su): > We use this JIRA to track progress for Hive bucketing write support in Spark. > The goal is for Spark to write Hive bucketed table, to be compatible with > other compute engines (Hive and Presto). > > Current status for Hive bucketed table in Spark: > Not support for reading Hive bucketed table: read bucketed table as > non-bucketed table. > Wrong behavior for writing Hive ORC and Parquet bucketed table: write > orc/parquet bucketed table as non-bucketed table (code path: > InsertIntoHadoopFsRelationCommand -> FileFormatWriter). > Do not allow for writing Hive non-ORC/Parquet bucketed table: throw exception > by default if writing non-orc/parquet bucketed table (code path: > InsertIntoHiveTable), and exception can be disabled by setting config > `hive.enforce.bucketing`=false and `hive.enforce.sorting`=false, which will > write as non-bucketed table. > > Current status for Hive bucketed table in Hive: > Hive 3.0.0 and after: support writing bucketed table with Hive murmur3hash > (https://issues.apache.org/jira/browse/HIVE-18910). > Hive 1.x.y and 2.x.y: support writing bucketed table with Hive hivehash. > Hive on Tez: support zero and multiple files per bucket > (https://issues.apache.org/jira/browse/HIVE-13988). > > Current status for Hive bucketed table in Presto (take presto-sql here): > Support writing bucketed table with Hive murmur3hash and hivehash > ([https://github.com/prestosql/presto/pull/1697]). > Support zero and multiple files per bucket > ([https://github.com/prestosql/presto/pull/822]). > > TLDR is to achieve Hive bucketed table compatibility across Spark, Presto and > Hive. Here with this JIRA, we need to add support writing Hive bucketed table > with Hive murmur3hash (for Hive 3.x.y) and hivehash (for Hive 1.x.y and > 2.x.y). > > To allow Spark efficiently read Hive bucketed table, this needs more radical > change and we decide to wait until data source v2 supports bucketing, and do > the read path on data source v2. Read path will not covered by this JIRA. > > Original description (2017 by Tejas Patil): > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > [https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing] -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17139931#comment-17139931 ] Virendhar Sivaraman commented on SPARK-19256: - This is a much needed feature +1 vote > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17059925#comment-17059925 ] Felix Kizhakkel Jose commented on SPARK-19256: -- Expose a configuration parameter for Hive Hashing during BucketBy operation. This config is missing or not documented > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[
https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=17055007#comment-17055007
]
Felix Kizhakkel Jose commented on SPARK-19256:
--
[~chengsu] Any updates on this feature (23163 and 26164)?
{color:#172b4d}*Note:*{color} Also I have seen recent Hive has introduced some
changes in their Bucketing Strategy and Big Data engines like Presto
incorporated those changes. Are we considering the compatibility with these new
HIVE changes?
Link to Presto/HIVE Bucketing improvements/changes:
[https://prestosql.io/blog/2019/05/29/improved-hive-bucketing.html]
> Hive bucketing support
> --
>
> Key: SPARK-19256
> URL: https://issues.apache.org/jira/browse/SPARK-19256
> Project: Spark
> Issue Type: Umbrella
> Components: SQL
>Affects Versions: 2.1.0
>Reporter: Tejas Patil
>Priority: Minor
>
> JIRA to track design discussions and tasks related to Hive bucketing support
> in Spark.
> Proposal :
> https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing
--
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[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16967615#comment-16967615 ] Vikram Hegde commented on SPARK-19256: -- Hi [~tejasp] [~chengsu] How to join two bucketed tables, when tables are bucketed on multiple columns. I tried to join, but still exchanges were getting created. Below is the scenario: table1 bucketed by a 10 buckets table2 bucketed by a,b 10 bucktes how to join table1 and table2 on column a without exchanges? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian Jira (v8.3.4#803005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16887313#comment-16887313 ] Cheng Su commented on SPARK-19256: -- [~aditya.dataengg] - I started the work by submitting a PR ([https://github.com/apache/spark/pull/23163]) for https://issues.apache.org/jira/browse/SPARK-26164, and it is still under review. I will ping relevant reviewers to see whether we can speed it up, thanks. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16886768#comment-16886768 ] Aditya Prakash commented on SPARK-19256: [~chengsu] any update on this? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.14#76016) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700089#comment-16700089 ] Xianjin YE commented on SPARK-19256: [~chengsu] great news. I can do some review work then. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16700067#comment-16700067 ] Shay Elbaz commented on SPARK-19256: [~chengsu] this is great! If there is anything I can do to assist please ask :) > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16699763#comment-16699763 ] Cheng Su commented on SPARK-19256: -- After discussion with [~tejasp], I think the most of un-merged pr ([https://github.com/apache/spark/pull/19001)] looks good, and is still valid on latest trunk. I am picking up this task, and starting working on this. cc [~advancedxy] and [~shay_elbaz]. Thanks. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16643828#comment-16643828 ] Shay Elbaz commented on SPARK-19256: +1 [~tejasp] is this still under progress? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16451689#comment-16451689 ] Xianjin YE commented on SPARK-19256: Hi [~tejasp] [~cloud_fan], are you still working on this? We also need this feature in our internal Spark stack, is there anything pending? cc [~XuanYuan] > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16354440#comment-16354440 ] Tejas Patil commented on SPARK-19256: - [~ferdonline] : The feature you are referring to is not in the scope of this Jira as storing bucketing metadata outside of metastore is not something that hive does. Could you please write to dev@ and create a Jira to initiate this discussion ? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16345397#comment-16345397 ] Fernando Pereira commented on SPARK-19256: -- Thanks a lot for this great contribution to Spark. I was just wondering, would it make sense to apply this to direct outputs (e.g. write.parquet()), so that we could keep partitioning information - and again avoid reshuffling data before a merge? I believe this is most what saveAsTable() does by default in Spark, but to my mind it would improve the DataFrame write API and make these performance benefits more accessible. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16318668#comment-16318668 ] Apache Spark commented on SPARK-19256: -- User 'tejasapatil' has created a pull request for this issue: https://github.com/apache/spark/pull/20206 > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16144033#comment-16144033 ] Apache Spark commented on SPARK-19256: -- User 'tejasapatil' has created a pull request for this issue: https://github.com/apache/spark/pull/19001 > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16134268#comment-16134268 ] Tejas Patil commented on SPARK-19256: - Opened a PR which has both reader and writer side changes : https://github.com/apache/spark/pull/19001. Have explained the semantics in the PR description. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16128305#comment-16128305 ] Tejas Patil commented on SPARK-19256: - PR for writer side changes is out : https://github.com/apache/spark/pull/18954 I have documented the semantics and differences with Spark's bucketing in the jira description so that it makes it easy for anyone who wants to see what changes are done. Reader side changes are close to completion (core meat is done, but the work is unpolished). I assume that the writer PR will have some round of comments which will buy me time to work on that. Reader side changes depend on the writer side PR to get in so won't publish it until then. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16125084#comment-16125084 ] Tejas Patil commented on SPARK-19256: - After the refactoring of the insertion plan node has been done, I revisited this and picked up where I left off. I have a unpolished but working version for both reader and writer side changes. Its too big of a patch, I am finding it hard to keep in sync with master plus self-review. I have split it into 2 parts : reader side change and writer side change (the later is needed first as one cannot write test cases for reader if there is no way to populate bucketed data). Will send a PR for write side this week after more testing. Sharing the link to my personal branch if anyone wants to see : https://github.com/tejasapatil/spark/tree/bucket_write (it still needs more work in terms of handing one corner case, test cases, refactoring + polishing but the core functionality works) > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.4.14#64029) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16022246#comment-16022246 ] Wenchen Fan commented on SPARK-19256: - let's wait for https://github.com/apache/spark/pull/18064 , which also refactors the insertion plan node. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16019109#comment-16019109 ] Tejas Patil commented on SPARK-19256: - [~cloud_fan] : After SPARK-18243, `InsertIntoHiveTable` is a `RunnableCommand` and not a physical operator node. This hinders the ability to add constraints about partitioning and sortedness of child node of insert operator. I see SPARK-20703 is about refactoring that part of code (but it will be only restricted towards getting more metrics). Would it be ok if I just change `InsertIntoHiveTable` to have the changes I need and move on OR wait for SPARK-20703 to land (which might take time). As you guys would be reviewing my PRs, would want to get your opinion on this. > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[
https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15990618#comment-15990618
]
Wenchen Fan commented on SPARK-19256:
-
Yea I agree that we should use {{requiredDistribution}} and
{{requiredOrdering}} to group and sort the input data instead of doing it
manually in `FileFormatWriter`, but at the time when we were refactoring
{{InsertIntoHiveTable}}, it was better than before, because previously we group
and sort the input data in {{XXXWriteContainer}}, and the code is very similar
to {{FileFormatWriter}}.
> Hive bucketing support
> --
>
> Key: SPARK-19256
> URL: https://issues.apache.org/jira/browse/SPARK-19256
> Project: Spark
> Issue Type: Umbrella
> Components: SQL
>Affects Versions: 2.1.0
>Reporter: Tejas Patil
>Priority: Minor
>
> JIRA to track design discussions and tasks related to Hive bucketing support
> in Spark.
> Proposal :
> https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing
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[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15989560#comment-15989560 ] Tejas Patil commented on SPARK-19256: - [~cloud_fan], [~sameerag] : I was looking at trunk and observed changes which would affect the plan (more from implementation perspective not the high level design). `InsertIntoHiveTable` is now a `RunnableCommand` (unlike earlier `UnaryExecNode`). With exec node, it was possible to set the requiredDistribution and requiredOrdering and let the planner (`EnsureRequirements`) take care of managing things. With `RunnableCommand`, the model seems to be that these requirements have to handled separately (so far there is only one place which does that: [0]). Two comments: - I feel that this somewhat ugly as one would expect `EnsureRequirements` to be a single place for handling this - we might miss out optimizations. eg. If I am adding an extra shuffle in `InsertIntoHiveTable` and if the previous node was shuffle as well, the code for merging these two shuffle nodes as a single shuffle would have to duplicated as well from `EnsureRequirements`. Would it be OK to make `InsertIntoHiveTable` as a `UnaryExecNode` ? Why was it made a `RunnableCommand` recently (https://github.com/apache/spark/pull/16517) ? cc [~smilegator] [0] : https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/FileFormatWriter.scala#L173 > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.15#6346) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15837302#comment-15837302 ] Tejas Patil commented on SPARK-19256: - BTW: In its current state, Spark writes data to hive bucketed tables but the outputs will not conform with hive's bucketing semantics. This can lead to data corruption if Spark outputs are used by Hive. I feel disabling writes to hive bucketing tables via Spark might be a good initial step to add. What do you think ? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15837294#comment-15837294 ] Tejas Patil commented on SPARK-19256: - [~cloud_fan] [~hvanhovell] : Are you guys ok with the proposal (link in jira description) or still want to discuss over any items ? > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Commented] (SPARK-19256) Hive bucketing support
[ https://issues.apache.org/jira/browse/SPARK-19256?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=15825494#comment-15825494 ] Tejas Patil commented on SPARK-19256: - cc [~cloud_fan] [~hvanhovell] for comments over the proposal > Hive bucketing support > -- > > Key: SPARK-19256 > URL: https://issues.apache.org/jira/browse/SPARK-19256 > Project: Spark > Issue Type: Umbrella > Components: SQL >Affects Versions: 2.1.0 >Reporter: Tejas Patil >Priority: Minor > > JIRA to track design discussions and tasks related to Hive bucketing support > in Spark. > Proposal : > https://docs.google.com/document/d/1a8IDh23RAkrkg9YYAeO51F4aGO8-xAlupKwdshve2fc/edit?usp=sharing -- This message was sent by Atlassian JIRA (v6.3.4#6332) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
