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2018-11-30 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @stczwd, I agree with @mccheah. Tables are basically named data sets. Whether they support batch, micro-batch streaming, or continuous streaming is determined by checking whether they implement

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2018-11-30 Thread mccheah
Github user mccheah commented on the issue: https://github.com/apache/spark/pull/21306 @stczwd that's my understanding yeah. Others can feel free to correct me otherwise. --- - To unsubscribe, e-mail:

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2018-11-29 Thread stczwd
Github user stczwd commented on the issue: https://github.com/apache/spark/pull/21306 @mccheah you mean the tables user created do not distinguish between stream and batch, but only when they are actually read from it? ---

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2018-11-29 Thread mccheah
Github user mccheah commented on the issue: https://github.com/apache/spark/pull/21306 @stczwd my understanding here is that a table isn't a streaming table or a batch table, but rather that a table points to data that can either be scanned in stream or in batch, and that the table

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2018-11-29 Thread stczwd
Github user stczwd commented on the issue: https://github.com/apache/spark/pull/21306 > @stczwd, thanks for taking a look at this. What are the differences between batch and stream DDL that you think will come up? 1. Source needs to be defined for stream table 2. Stream

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2018-11-29 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/21306 A general question. How to use this catalog API to implement the Hive metastore? Is it doable? --- - To unsubscribe, e-mail:

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2018-11-29 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @stczwd, thanks for taking a look at this. What are the differences between batch and stream DDL that you think will come up? ---

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2018-11-29 Thread stczwd
Github user stczwd commented on the issue: https://github.com/apache/spark/pull/21306 @rdblue Have you considered about stream table API? It may have some differences between batch table ddl and stream table ddl. ---

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2018-10-22 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @felixcheung, we're waiting on more reviews and a community decision about how to pass partition transforms. For passing transforms, I think the most reasonable compromise is to go with a

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2018-10-21 Thread felixcheung
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/21306 where are we on this? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail:

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2018-09-06 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @tigerquoll, the proposal isn't to make partitions part of table configuration. It is to make the partitioning scheme part of the table configuration. How sources choose to handle individual

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2018-09-04 Thread tigerquoll
Github user tigerquoll commented on the issue: https://github.com/apache/spark/pull/21306 So Kudu range partitions support arbitrary sized partition intervals, like the example below, where the first and last range partition are six months in size, but the middle partition is one

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2018-09-04 Thread tigerquoll
Github user tigerquoll commented on the issue: https://github.com/apache/spark/pull/21306 Sure, I am looking at the point of view of supporting Kudu. Check out https://kudu.apache.org/docs/schema_design.html#partitioning for some of the details. In particular

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2018-09-04 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 > Can we support column range partition predicates please? This has an "apply" transform for passing other functions directly through, so that may help if you have additional transforms that

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2018-09-04 Thread tigerquoll
Github user tigerquoll commented on the issue: https://github.com/apache/spark/pull/21306 Can we support column range partition predicates please? --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org

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2018-08-15 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @rxin, I've updated this to use a new interface, `PartitionTransform`, instead of `Expression`. This is used to pass well-known transformations when creating tables, like `Filter` is used to pass a

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2018-08-14 Thread rdblue
Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @cloud-fan, on the dev thread about 2.4 you talked about getting this PR in. What do we need to do next? I can call a vote on the SPIP if you think that's ready. I just bumped the thread.

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Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 #21888 demonstrates how to add a `TableIdentifier` with a catalog element, `CatalogTableIdentifier` and how to safely migrate from the old identifier to the new one with catalog. ---

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Github user rdblue commented on the issue: https://github.com/apache/spark/pull/21306 @marmbrus, @cloud-fan, @gatorsmile, I've updated this PR to use reflection to instantiate catalogs. This allows implementations to provide named catalogs (and reuse implementations) and configure

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

2018-07-25 Thread SparkQA
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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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[GitHub] spark issue #21306: [SPARK-24252][SQL] Add catalog registration and table ca...

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