[SPARK-48817][SQL] Eagerly execute union multi commands together #47224
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It seems to be caused by #32513 |
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@cloud-fan @beliefer Could you please take a look? |
ulysses-you
reviewed
Jul 8, 2024
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala
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ulysses-you
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Jul 8, 2024
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thanks, merged to master |
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late LGTM |
biruktesf-db
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Jul 11, 2024
### What changes were proposed in this pull request? Eagerly execute union multi commands together. ### Why are the changes needed? MultiInsert is split to multiple sql executions, resulting in no exchange reuse. Reproduce sql: ``` create table wangzhen_t1(c1 int); create table wangzhen_t2(c1 int); create table wangzhen_t3(c1 int); insert into wangzhen_t1 values (1), (2), (3); from (select /*+ REPARTITION(3) */ c1 from wangzhen_t1) insert overwrite table wangzhen_t2 select c1 insert overwrite table wangzhen_t3 select c1; ``` In Spark 3.1, there is only one SQL execution and there is a reuse exchange.  However, in Spark 3.5, it was split to multiple executions and there was no ReuseExchange.   ### Does this PR introduce _any_ user-facing change? yes, multi inserts will executed in one execution. ### How was this patch tested? added unit test ### Was this patch authored or co-authored using generative AI tooling? No Closes apache#47224 from wForget/SPARK-48817. Authored-by: wforget <[email protected]> Signed-off-by: youxiduo <[email protected]>
jingz-db
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Jul 22, 2024
### What changes were proposed in this pull request? Eagerly execute union multi commands together. ### Why are the changes needed? MultiInsert is split to multiple sql executions, resulting in no exchange reuse. Reproduce sql: ``` create table wangzhen_t1(c1 int); create table wangzhen_t2(c1 int); create table wangzhen_t3(c1 int); insert into wangzhen_t1 values (1), (2), (3); from (select /*+ REPARTITION(3) */ c1 from wangzhen_t1) insert overwrite table wangzhen_t2 select c1 insert overwrite table wangzhen_t3 select c1; ``` In Spark 3.1, there is only one SQL execution and there is a reuse exchange.  However, in Spark 3.5, it was split to multiple executions and there was no ReuseExchange.   ### Does this PR introduce _any_ user-facing change? yes, multi inserts will executed in one execution. ### How was this patch tested? added unit test ### Was this patch authored or co-authored using generative AI tooling? No Closes apache#47224 from wForget/SPARK-48817. Authored-by: wforget <[email protected]> Signed-off-by: youxiduo <[email protected]>
attilapiros
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Oct 4, 2024
### What changes were proposed in this pull request? Eagerly execute union multi commands together. ### Why are the changes needed? MultiInsert is split to multiple sql executions, resulting in no exchange reuse. Reproduce sql: ``` create table wangzhen_t1(c1 int); create table wangzhen_t2(c1 int); create table wangzhen_t3(c1 int); insert into wangzhen_t1 values (1), (2), (3); from (select /*+ REPARTITION(3) */ c1 from wangzhen_t1) insert overwrite table wangzhen_t2 select c1 insert overwrite table wangzhen_t3 select c1; ``` In Spark 3.1, there is only one SQL execution and there is a reuse exchange.  However, in Spark 3.5, it was split to multiple executions and there was no ReuseExchange.   ### Does this PR introduce _any_ user-facing change? yes, multi inserts will executed in one execution. ### How was this patch tested? added unit test ### Was this patch authored or co-authored using generative AI tooling? No Closes apache#47224 from wForget/SPARK-48817. Authored-by: wforget <[email protected]> Signed-off-by: youxiduo <[email protected]>
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What changes were proposed in this pull request?
Eagerly execute union multi commands together.
Why are the changes needed?
MultiInsert is split to multiple sql executions, resulting in no exchange reuse.
Reproduce sql:
In Spark 3.1, there is only one SQL execution and there is a reuse exchange.
However, in Spark 3.5, it was split to multiple executions and there was no ReuseExchange.
Does this PR introduce any user-facing change?
yes, multi inserts will executed in one execution.
How was this patch tested?
added unit test
Was this patch authored or co-authored using generative AI tooling?
No