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Github user rdblue commented on the issue:
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The fix for PARQUET-686 was to suppress min/max stats. It is safe to push
filters, but those filters can't be used without the stats. 1.10.0 has the
correct stats and can use those filters.
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See my PR https://github.com/apache/spark/pull/21147. We need to fix the
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Regarding
[`SPARK-17213`](https://issues.apache.org/jira/browse/SPARK-17213), we already
enable the pushdown after we upgrading to 1.8.2. Is my understanding right?
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Github user vanzin commented on the issue:
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I'm fine with the fix. Not familiar with the internals of the STS / Hive to
suggest anything different.
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There are two main reasons to update. First, the problem behind SPARK-17213
is fixed, hence the new min and max fields. Second, this updates the internal
byte array management, which is needed for pa
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Hi, @mridulm . Could you review this PR please?
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[SPARK-23850][sql] Add separate config for SQL options redaction.
The old code was relying on a core configuration and extended its
default value to include things that redact desired things in t
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Retest this please.
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@rxin @cloud-fan I am very sorry for preparing performance data since I was
busy these weeks.
I confirmed that `MemoryBlock` approach is faster for OnHeap and is equal
to for OffHeap compared to
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@gatorsmile should I create new PR with these changes for 2.3 branch ? I
will do this. Do we need new jira for 2.3 ? or should I reference the existing
one ?
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[SPARK-23565] [SS] New error message for structured streaming sources
assertion
## What changes were proposed in this pull request?
A more informative message to tell you why a st
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Hi @xuanyuanking, please see comments above.
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Hi Xuan,
I have updated the title, removed the extra white space after the period /
dot and removed the UT.
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cc @ueshin
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ok to test
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@jkbradley Could you please review when you have time? Thank you very much
in advance!
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Parquet is the default file format. Thus, the impact could be huge. We need
to be more cautious. Since Parquet 1.10 was officially released this month.
Thus, we might need more careful review for
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@gatorsmile any chance you could take a look at this? Let me know if there
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[SPARK-22674][PYTHON] Removed the namedtuple pickling patch
## What changes were proposed in this pull request?
This is a breaking change.
Prior to this commit PySpark patched `
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[SPARK-24087][SQL] Avoid shuffle when join keys are a super-set of bucket
keys
## What changes were proposed in this pull request?
To improve the bucket join, when join keys are a super-set
Github user viirya commented on the issue:
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I tried to unify this class with `UnsafeProjectionCreator`. So there is no
more `UnsafeProjectionCreator` trait.
Without the trait `UnsafeProjectionCreator`, one problem is we can't easily
t
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Github user squito commented on the issue:
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A couple more high-level thoughts:
1) Do we want to have a event posted about the node getting blacklisted? I
think it would be useful. But then there needs to be a msg from the
YarnAlloca
Github user HyukjinKwon commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercion.scala
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@@ -112,6 +112,14 @@ object TypeCoercion {
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