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+1 on @rdblue 's idea. One point is, we should use
`ColumnarBatchScan.supportsBatch` to indicate columnar scan or not, instead of
asking the RDD to report it.
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spark.driver.memory
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-Amount
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@HyukjinKwon I redid the benchmarks for `toPandas` with the current code
and updated the description. It's not a huge speedup now, but definitely does
improve some. I'll also followup with
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What is `.1` in the title `[SPARK-25248.1]`?
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@HyukjinKwon can you trigger again?
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LGTM except a few comments
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Thanks all for reviewing. Merged into master.
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Also, you need to update split in python and R.
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ok to test
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@squito Thanks for the refactor!
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retest this please
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LGTM. How did you work around the type tag not found issue?
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*
* CAUTION! In a
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[SPARK-25248.1][PYSPARK] update barrier Python API
## What changes were proposed in this pull request?
I made one pass over the Python APIs for barrier mode and updated them to
match the
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Can you add `[SQL][MINOR]` in the title? Also, can you narrow down the
tittle cuz it is a little obscure.
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[MINOR] Fix scala 2.12 build using collect
## What changes were proposed in this pull request?
Introduced by #21320
```
[error] [warn]
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LGTM pending test
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test this please
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retest this please
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Yes, that is the worst case. If there is some bug with types/schema then
there is an automatic fallback to the non-arrow code path too
On Tue, Aug 28, 2018, 7:16 PM Xiao Li wrote:
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Yup, since `spark.sql.execution.arrow.enabled` is an experimental feature,
we could just turn this off if there are critical bugs found later after the
release.
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OK, I will close it. thanks for your review.
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@BryanCutler The worst case is to turn off
`spark.sql.execution.arrow.enabled`, if the new code path has a bug, right?
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