[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-20 Thread rdblue
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2018-02-20 Thread cloud-fan
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2018-02-17 Thread rdblue
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2018-02-16 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 I'm on vacation and will be back next week, will have a more thorough review at that time, sorry for the inconvenience! --- -

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2018-02-16 Thread rdblue
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2018-02-14 Thread rdblue
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2018-02-13 Thread rdblue
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2018-02-13 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 @cloud-fan, I've rebased and made the requested changes. #20603 reverts the last commit that adds back support for user-supplied schemas that are identical to the source schema. ---

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2018-02-09 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 > Sorry, what do you want to change? Nothing, just a potential use case to support creating `DataSourceOptions` in `DataSourceV2Relation`. If there are a lot of places like this, it's

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2018-02-09 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 > See FindDataSourceTable.readDataSourceTable about how we handle the path option. Sorry, what do you want to change? ---

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2018-02-08 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 > We've added a resolution rule from UnresolvedRelation to DataSourceV2Relation that uses our implementation. UnresolvedRelation needs to pass its TableIdentifier to the v2 relation, which is why

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2018-02-06 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 Will do. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

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2018-02-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 I think there will be a lot of discussion about data source v2 table support. For now how about we remove the table/path stuff and get this PR in ASAP? ---

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2018-02-06 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 > Can you give a use case about this? We've added a resolution rule from `UnresolvedRelation` to `DataSourceV2Relation` that uses our implementation. `UnresolvedRelation` needs to pass its

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2018-02-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 > The reader is to be created and configured by the relation, then the relation needs to be able to set the table, path, and other properties. This adds necessary data to the relation that is no

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2018-02-06 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 The reader is to be created and configured by the relation, then the relation needs to be able to set the table, path, and other properties. This adds necessary data to the relation that is no

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2018-02-06 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 This PR does 3 things: 1. make `DataSourceV2Relation` immutable. This extends the constructor of `DataSourceV2Relation` to include pushed filters and pruned columns. 2. carry some standard

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2018-02-06 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 @cloud-fan, this is a single commit on purpose because predicate push-down makes plan changes. I think it's best to do these at once to avoid unnecessary work. That's why I started looking more

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-05 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 I'm OK to replace the new push down implementation with `PhysicalOperation`, but please do that in an individual PR. If we do find the new implementation is necessary, it's easier for us to bring

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-05 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 > For safety, I wanna keep it unchanged, and start something new for data source v2 only. I disagree. * **#20476 addresses a bug caused by the new implementation that is not a

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-05 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/20387 For doing pushdown at logical or physical phase, I don't have a strong preference. I think at logical phase we should try our best to push down data-size-reduction operators(like filter,

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-02 Thread AmplabJenkins
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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-02 Thread SparkQA
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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-02 Thread marmbrus
Github user marmbrus commented on the issue: https://github.com/apache/spark/pull/20387 Regarding, `computeStats`, the logical plan seems like it might not be the right place. As we move towards more CBO it seems like we are going to need to pick physical operators before we can

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

2018-02-02 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/20387 > Why pushdown is happening in logical optimization and not during query planning. My first instinct would be to have the optimizer get operators as close to the leaves as possible and then fuse (or

[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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[GitHub] spark issue #20387: [SPARK-23203][SQL]: DataSourceV2: Use immutable logical ...

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