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--- Diff:
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---
@@ -23,21 +23,66 @@ import
Github user cloud-fan commented on the issue:
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Sorry for the delay, pretty busy these days...
I'll update this PR this week and try to merge it ASAP.
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LGTM except 2 minor comments. Can you benchmark some complex queries
instead of full scan? I was expecting to see larger speed up via the columnar
reader.
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--- Diff: core/src/main/scala/org/apache/spark/storage/BlockId.scala ---
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extends
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Github user cloud-fan commented on the issue:
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@steveloughran The current API already supports it.
`WriteSupport.createWriter` takes the option parameter, and
`DataSourceV2Writer` can propagate this option down to the data writer, via
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--- Diff: python/pyspark/sql/session.py ---
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data = [schema.toInternal(row)
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+/*
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Github user DonnyZone commented on the issue:
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@hvanhovell Yes! I made something wrong. The `timeFunctionCall` has
conflicts with `columnReference`. This fix will break every use of
CURRENT_DATE/CURRENT_TIMESTAMP.
For
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@hhbyyh Do you get time to continue this PR ? thanks!
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@gatorsmile @dongjoon-hyun
Thanks a lot for looking into this.
This pr aims to avoid OOM if metastore fails to update table properties
after the data is already produced. With the
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Thanks @srowen, @rxin and @felixcheung.
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Thanks, merging to branch 2.2.
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@sjrand would you please close this PR, it is already merged to branch 2.2.
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[SPARK-22332][ML][TEST] Fix NaiveBayes unit test occasionly fail (cause by
test dataset not deterministic)
## What changes were proposed in this pull request?
Fix NaiveBayes unit
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Let's close this then :).
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@susanxhuynh could you pls review this?
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -1191,6 +1191,9 @@ setMethod("collect",
vec <- do.call(c, col)
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--- Diff: R/pkg/tests/fulltests/test_sparkSQL.R ---
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types", {
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@hhbyyh Thanks for your comments!
> Another option is that to support all bytes[], short[], int[], float[]
and double[] as data storage type candidates, and switch among them according
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Jenkins, retest this please.
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I realized that changes here was added also in SPARK-21070.
https://github.com/apache/spark/commit/751f513367ae776c6d6815e1ce138078924872eb
So we can close this PR.
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@rberenguel Could you fix [this
comment](https://github.com/apache/spark/pull/17100#pullrequestreview-71023434)?
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[SPARK-22334][SQL] Check table size from HDFS in case the size in metastore
is wrong.
## What changes were proposed in this pull request?
Currently we use table properties('totalSize')
Github user steveloughran commented on the issue:
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w.r.t init, I'm thinking it's critical to get the
DataframeWriter.extraOptions down the tree. This lets committers be tuned on a
query-by-query basis for things like conflict management,
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[SPARK-17902][R] Revive stringsAsFactors option for collect() in SparkR
## What changes were proposed in this pull request?
This PR proposes to revive `stringsAsFactors` option in
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ping @hvanhovell @gatorsmile
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Can one of the admins verify this patch?
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