Github user srowen commented on the issue:
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You shouldn't create a JIRA for items like this, where the description is
the same as the PR. I wouldn't move the initial log, as creating the Consumer
is part of connecting. It won't matter much. Bu
Github user viirya commented on the issue:
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LGTM
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--- Diff:
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---
@@ -20,6 +20,7 @@ package org.apache.spark.sql.cat
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--- Diff:
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---
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--- Diff:
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---
@@ -845,4 +846,11 @@ class CastSuite extends SparkFunSui
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--- Diff:
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If CBO enabled, the [`outputRowCount ==
0`](https://github.com/apache/spark/pull/19831#L67), the
[`getOutputSize`](https://github.com/apache/spark/pull/19831#L60) is 1,
`sizeInBytes` is 1 and this
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@@ -387,20 +389,108 @@ object ColumnarBatchBench
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[SPARK-22664] The logs about "Connected to Zookeeper" in
ReliableKafkaReceiver.scala are in wrong position
[https://issues.apache.org/jira/browse/SPARK-22664](https://issues.apache.org/jira/br
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@@ -177,11 +190,67 @@ class CodegenContext {
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Github user ueshin commented on the issue:
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Should we set the `pythonExec` during the initialization of `SparkContext`
at
[context.py#L191](https://github.com/yaooqinn/spark/blob/8ff5663fe9a32eae79c8ee6bc310409170a8da64/python/pyspark/context.
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@@ -177,11 +190,67 @@ class CodegenContext
Github user cloud-fan commented on the issue:
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Since the benchmark shows negligible overhead for normal cases, I'm merging
it to master, thanks!
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I 100% agree with @cloud-fan. Moreover, SPARK-6 addresses the
additional constant pool entries generated by adding many methods. Even though
using a for loop in general has advantages, it is br
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@@ -57,9 +57,14 @@ private[spark] abstract class BasePythonRunner[IN, OUT](
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thanks, merging to master!
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--- Diff: python/pyspark/sql/types.py ---
@@ -1108,19 +1109,33 @@ def _has_nulltype(dt):
return isinstance(dt, NullType)
-def _m
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@@ -319,7 +319,7 @@ private[spark] abstract class BasePythonRunner[IN, OU
Github user cloud-fan commented on the issue:
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I think we should do optimization incrementally. From
```
private int a;
private int b;
private int c;
...
a = 3;
b = 1;
c = 5;
...
```
to
```
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---
@@ -0,0 +1,104 @@
+/*
+ * L
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---
@@ -0,0 +1,244
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@@ -0,0 +1,234 @@
+/*
+ * Licensed to
Github user jiangxb1987 commented on the issue:
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Please update the title `[SPARK-22655][PySpark] Throw exception rather than
exit silently in PythonRunner when Spark session is stopped`
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[SPARK-22662] [SQL] Failed to prune columns after rewriting predicate
subquery
## What changes were proposed in this pull request?
As a simple example:
```
spark-sql> create table ba
Github user kiszk commented on a diff in the pull request:
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---
@@ -203,18 +271,47 @@ class CodegenContext {
Github user viirya commented on the issue:
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I'm afraid this style initialization
```scala
int[] ints = new int[1001];
ints[0] = 3;
ints[1] = 1;
ints[2] = 5;
...
```
produces too many bytecodes.
---
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@@ -168,6 +166,21 @@ class CodegenContext {
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@@ -203,18 +271,47 @@ class CodegenContext {
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@@ -177,11 +190,67 @@ class CodegenContext {
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@@ -177,11 +190,67 @@ class CodegenContext
Github user kiszk commented on the issue:
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I think that it is good to have a loop to mainly reduce the byte code size
and to reduce constant pool entries.
```
int[] ints = new int[32768];
ints[0] = 1;
ints[1] = 1;
...
in
Github user mgaido91 commented on the issue:
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@cloud-fan yes, I have the same opinion and I'd suggest the same thing
(https://github.com/apache/spark/pull/19811#discussion_r153647477), at least at
the beginning. Then if we find smarter way yo
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@@ -177,11 +190,67 @@ class CodegenContext
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---
@@ -177,11 +190,67 @@ class CodegenContext {
Github user mpetruska commented on the issue:
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@HyukjinKwon : Hi, yes: this is the "retrofitting" of the original bug fix,
which never made it to Scala 2.11. Instead of copy-pasting the original
discussion, let me link the [original
PR](https
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No, this can't possibly be committed. Please close this.
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SPARK-22660:Use position() and limit() to fix ambiguity issue in scalâ¦
â¦a-2.12 and JDK9
## What changes were proposed in this pull request?
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