[SPARK-19089][SQL] Add support for nested sequences #18011
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Contributor
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ok to test |
cloud-fan
reviewed
May 18, 2017
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| test("nested sequences") { | ||
| checkDataset(Seq(Seq(Seq(1))).toDS(), Seq(Seq(1))) |
Contributor
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let's also add test for specific collection type, e.g. List(Queue(1))
Contributor
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LGTM |
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Test build #77040 has finished for PR 18011 at commit
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Member
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retest this please |
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Contributor
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retest this please |
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Test build #77076 has finished for PR 18011 at commit
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Test build #77093 has finished for PR 18011 at commit
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Contributor
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thanks, merging to master/2.2! |
asfgit
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May 22, 2017
## What changes were proposed in this pull request? Replaced specific sequence encoders with generic sequence encoder to enable nesting of sequences. Does not add support for nested arrays as that cannot be solved in this way. ## How was this patch tested? ```bash build/mvn -DskipTests clean package && dev/run-tests ``` Additionally in Spark shell: ``` scala> Seq(Seq(Seq(1))).toDS.collect() res0: Array[Seq[Seq[Int]]] = Array(List(List(1))) ``` Author: Michal Senkyr <[email protected]> Closes #18011 from michalsenkyr/dataset-seq-nested. (cherry picked from commit a2b3b67) Signed-off-by: Wenchen Fan <[email protected]>
liyichao
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May 24, 2017
## What changes were proposed in this pull request? Replaced specific sequence encoders with generic sequence encoder to enable nesting of sequences. Does not add support for nested arrays as that cannot be solved in this way. ## How was this patch tested? ```bash build/mvn -DskipTests clean package && dev/run-tests ``` Additionally in Spark shell: ``` scala> Seq(Seq(Seq(1))).toDS.collect() res0: Array[Seq[Seq[Int]]] = Array(List(List(1))) ``` Author: Michal Senkyr <[email protected]> Closes apache#18011 from michalsenkyr/dataset-seq-nested.
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What changes were proposed in this pull request?
Replaced specific sequence encoders with generic sequence encoder to enable nesting of sequences.
Does not add support for nested arrays as that cannot be solved in this way.
How was this patch tested?
build/mvn -DskipTests clean package && dev/run-testsAdditionally in Spark shell: