Github user seancxmao commented on the issue:
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Could we see this as a behavior change? We can add a legacy conf (e.g.
`spark.sql.hive.legacy.convertMetastoreParquet`, may be defined in HiveUtils)
to enable users to revert back to the previous
Github user xuanyuanking commented on a diff in the pull request:
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--- Diff:
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@@ -350,16 +366,11 @@ case class AlterTableChangeColumnCommand(
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Github user xuanyuanking commented on a diff in the pull request:
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Github user Fokko commented on the issue:
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Some of the JSON endpoints are invalid, for example:
```
{
"info": {
"id": "driver",
"hostPort": "localhost:61103",
"isActive": true,
Github user Fokko commented on the issue:
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Some of the code has been introduced here:
https://github.com/apache/spark/commit/9241e1e7e66574cfafa68791771959dfc39c9684
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Github user LantaoJin commented on the issue:
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> Although event log is in JSON format, it's mostly for internal usage, to
be load by history server and used to build the Spark UI.
AFAIK, there are more and more projects replay event log to
Github user yucai commented on the issue:
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@kiszk I feel it is hard to add UT, do you have any idea?
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Spark driver log is always distributed on various client nodes and depends
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think it's better to used for debug not analy
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GitHub user MichaelChirico opened a pull request:
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Axe deprecated doc refs
Continuation of #22370. Summary of discussion there:
There is some inconsistency in the R manual w.r.t. supercedent functions
linking back to deprecated func
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@felixcheung thanks for the feedback, yes, I axed `registerTempTable` from
the `SparkDataFrame `@family`.
Sorry I botched an attempt to try and rename the branch of this PR
(apparen
Github user dzanozin commented on the issue:
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Please ignore the error report, it was a mess in the machine configuration
with some v2.3.0 leftovers. Works as expected after cleanup. Sorry!
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Github user cloud-fan commented on the issue:
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So you need a way to reliably report some extra information like file path
in the event logs, but don't want to show it in the UI as it maybe too long.
Basically we shouldn't put such info
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Github user cloud-fan commented on the issue:
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IIUC, you are pulling out the join condition with python UDF and create a
filter above join. Then the join become a cross join, which usually runs very
slowly. I think we should keep the cross joi
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thanks, merging to master!
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--- Diff:
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@@ -303,94 +303,44 @@ case class LoadDataCommand(
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Github user LantaoJin commented on the issue:
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Thank you @cloud-fan for your reminding. Weâve handled the drop message
case. Agree, I will update a commit tomorrow.
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Merged to master and branch-2.4.
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--- Diff: docs/sql-programming-guide.md ---
@@ -965,6 +965,7 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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I'm okay but I would close this if no committer agree with (approves) this
for some long time.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/21596
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Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/22375#discussion_r216676386
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -223,8 +223,8 @@ trait ExpressionEvalHelpe
Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/22375#discussion_r216679499
--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/ExpressionEvalHelper.scala
---
@@ -223,8 +223,8 @@ trait ExpressionEvalHelpe
Github user SongYadong commented on the issue:
https://github.com/apache/spark/pull/22348
@dongjoon-hyun . You are right, DataSourceReadBenchmark result show the
benefit is too small even in some cases is covered up by fluctuation.
Java HotSpot(TM) 64-Bit Server VM 1.8.0_141
Github user mallman commented on a diff in the pull request:
https://github.com/apache/spark/pull/22357#discussion_r216683076
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetSchemaPruning.scala
---
@@ -110,7 +110,17 @@ private[sql] objec
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