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[SPARK-24812][SQL] Last Access Time in the table description is not valid
## What changes were proposed in this pull request?
Last Access Time will always displayed wrong date Wed Dec 31
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[WIP][SPARK-24811][SQL]Avro: add new function from_avro and to_avro
## What changes were proposed in this pull request?
Add a new function from_avro for parsing a binary column of
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@@ -37,27 +37,27 @@ import
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Maybe @ericl has some cycles?
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@cloud-fan did this merge?
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--- Diff:
sql/catalyst/src/test/scala/org/apache/spark/sql/StringToTimestampBenchmark.scala
---
@@ -0,0 +1,53 @@
+/*
--- End diff --
Does
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Github user srowen commented on the issue:
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PS I don't think SparkException should be a RuntimeException even if it
were possible. It's possible to get the Scala code to declare SparkException in
the byte code if that's what you need it to do
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--- Diff:
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@@ -890,7 +890,7 @@ case class Cast(child: Expression,
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@@ -1588,6 +1588,15 @@ object CodeGenerator
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jenkins, retest this, please
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@@ -75,11 +75,29 @@ class
Github user koertkuipers commented on the issue:
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should this be exposed per write instead of as a global variable?
e.g.
dataframe.write.csv.partitionMode(Dynamic).partitionBy(...).save(...)
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> @felixcheung I am not sure that our users are so interested in getting a
list of cores per executors and calculate total numbers cores by summurizing
the list. It will just complicate API and
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--- Diff:
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// Get
Github user HyukjinKwon commented on the issue:
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Yarn can use dynamic allocation as well. That's why I said "in general". To
address @felixcheung's concern, I guess it's good to mention like see the
configuration section and details can be
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I agree we shall fall the job instead of let the job stay hanging.
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// Set
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Actually I think @mridulm have a point here - if we only retry all the
tasks for repartition/zip*, it's still possible that some tasks in a succeeding
stage may have finished before retry, and
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[SPARK-24810][SQL] Fix paths to test files in AvroSuite
## What changes were proposed in this pull request?
In the PR, I propose to move `testFile()` to the common trait
Github user cloud-fan commented on the issue:
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I think all we discussed here is about promise and expectation, and your
zip example seems is not an issue: according to the promise that Spark does not
guarantee output order of unsorted
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thanks, merging to master!
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1555,6 +1559,9 @@ class SparkContext(config: SparkConf) extends Logging
{
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@@ -318,7 +318,8 @@ case class SampleExec(
v
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[SPARK-24809] [SQL] Serializing LongHashedRelation in executor may result
in data error
When join key is long or int in broadcast join, Spark will use
LongHashedRelation as the broadcast
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> AFAIK, we always have num of executor ...
Not in all cases, Databricks clients can create auto-scaling clusters:
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https://github.com/apache/spark/pull/21711
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