[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22547 I was stuck with some personal business recently, I'll send a PR for batch source after the weekend. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/22547 I agree that there is consensus for the proposal in the design doc and I don't think there are any blockers. If there's something I can do to help, please let me know. Otherwise ping me to review! --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user mccheah commented on the issue: https://github.com/apache/spark/pull/22547 @cloud-fan @rdblue I believe we've converged on an appropriate API as per our last sync. Do we have a plan to move this forward, with the separated smaller patches? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22547 Let's move the high-level discussion to https://docs.google.com/document/d/1uUmKCpWLdh9vHxP7AWJ9EgbwB_U6T3EJYNjhISGmiQg/edit?usp=sharing --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/22547 @jose-torres, I don't mean that the primary purpose of the v2 API is for catalog integration, I mean that the primary use of v2 is with tables that are stored in some catalog. So we should make sure that the plan and design work well with catalog tables. Another reason that catalog tables are important is that the v2 plans require a catalog for consistent behavior. So catalogs are important and I think will affect the implementation details. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user jose-torres commented on the issue: https://github.com/apache/spark/pull/22547 I agree that we need a shared understanding of the relationship between this work and the new catalog API. I was not under the impression that the primary purpose of v2 is to integrate catalog tables. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/22547 After looking at the changes, I want to reiterate that request for a design doc. I think that code is a great way to prototype a design, but that we need to step back and make sure that the design makes sense when you view it from a high level. I have two main motivations for that point. First, there are some classes that I don't see a justification for, like having a separate ScanConfig, BatchScan, and PartitionReaderFactory. Are all of those separate classes necessary? Can a ScanConfigBuilder return a BatchScan? Can BatchScan expose a createBatchReader(InputPartition) method? My second motivation for saying we need a clear design doc is that I think that the current way to interact with v2 doesn't fit well with catalogs. This is based around Format, which is based on the v1 method of loading read and write implementations. But that isn't the primary way that v2 will be used be used. It happens to be the only way to call into the v2 API from Spark today, but the primary use of v2 is to integrate sources that are actually modeled as tables in some catalog. For example, Format exposes getTable that returns a Table implementation from DataSourceOptions. Those options have tableName and databaseName methods. But tables that are identified by name shouldn't be loaded by a Format, they should be loaded by a catalog. It also uses the options for both table options and read options because there isn't a way to pass both. But most tables will be created with table options by a catalog and will accept read-specific options passed to the DataFrameReader. I think we would approach a usable API much sooner if this work was planned based on a shared understanding of how catalogs and tables will interact in the future. Not having a catalog API right now is affecting the way tables work in this PR, and that's a concern for me. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/22547 @cloud-fan, is there a design doc that outlines these changes and the new API structure? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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[GitHub] spark issue #22547: [SPARK-25528][SQL] data source V2 read side API refactor...
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/22547 A major part of this PR is to update existing streaming sources, which is just moving code around. There are 3 things we need to pay attention to during review: 1. the naming and documentation of the new interfaces. 2. the new streaming query planning workflow. See the PR description for details. 3. the updated tests, make sure there is nothing wrong. --- - 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 cloud-fan commented on the issue: https://github.com/apache/spark/pull/22547 Hi @rdblue welcome back! I just rebased it so it's ready for review :) --- - 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 rdblue commented on the issue: https://github.com/apache/spark/pull/22547 @cloud-fan, sorry to look at this so late, I was out on vacation for a little while. Is this about ready for review? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
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