Github user viirya commented on the issue:
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I think we can set up a place (mailling list or JIRA) to discuss the
further thing about IR design, as suggested by @HyukjinKwon. This can be a
co-work from interesting parties.
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Github user gengliangwang commented on the issue:
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@tgravescs @dongjoon-hyun Thanks for the explanation. We should add a
configuration instead of reverting.
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@gengliangwang Could you also post the screen shot in your PR description?
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GitHub user vinodkc opened a pull request:
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[SPARK-25137][Spark Shell] NumberFormatException` when starting spark-shell
from Mac terminal
## What changes were proposed in this pull request?
When starting spark-shell from Mac termin
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@cloud-fan @gatorsmile
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@jiangxb1987 gentle ping.
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Github user ajithme commented on the issue:
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@vanzin I agree its a trivial change. Just wanted it to be consistent
output with yarn cluster mode. This is not just for event logs also for a
custom SparkListener , it may be confusing that appId
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I think we'd have to close this due to the behavior change, but would merge
an optimization of the existing behavior.
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--- Diff:
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@kiszk The initial prototype or proof of concept can be in any personal
branch. When we merge it to the master branch, we still need to separate it
from the current codegen and make it configurab
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--- Diff:
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@@ -425,12 +426,44 @@ case class FileSourceScanExec(
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--- Diff:
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@@ -459,6 +460,29 @@ object SQLConf {
.intConf
.creat
Github user viirya commented on the issue:
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If we will continue on improving current codegen framework, I think it is
good to have a design doc reviewed by the community.
If we decide to have IR design and get rid of this string based
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@@ -459,6 +460,29 @@ object SQLConf {
.intConf
.
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@@ -459,6 +460,29 @@ object SQLConf {
.intConf
.
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@@ -459,6 +460,29 @@ object SQLConf {
.intConf
.
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.intConf
.
Github user HyukjinKwon commented on the issue:
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@habren, BTW, just for clarification, you can set the bigger number to
`spark.sql.files.maxPartitionBytes` explicitly and that resolved your issue.
This one is to handle it dynamically, right?
Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
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---
@@ -490,7 +490,8 @@ object DDLPreprocessingUtils {
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thanks, merging to master!
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@srowen Thanks!
yes, my bad. next time I will bundle (better yet I will look for the same
issue elsewhere in the docs), and I'll use a better title.
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Github user cloud-fan commented on the issue:
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It's a good point that we should have a design doc for this codegen
infrastructure improvement, since it's very critical to Spark. And we should
have it reviewed by the community.
There w
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/22112
Actually we can extend the solution later and I've mentioned it in my PR
description.
Basically there are 3 kinds of closures:
1. totally random
2. always output same data set in a
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retest this please
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@tgravescs To understand better, are you suggesting that we do not support
any api and/or user closure which depends on input order ?
If yes, that would break not just repartition + shuffle, but
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--- Diff: python/pyspark/sql/tests.py ---
@@ -3563,6 +3563,51 @@ def
test_query_execution_listener_on_collect_with_arrow(self):
"Th
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"Th
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They pass on my machine :(
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```
Are they all instances to fix?
```
@HyukjinKwon Yep, I grep all `conf.get("spark.sql.xxx")` and make sure for
this. The remaining of hard code config is StaticSQLConf
`spark.sql
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haha, it's more then 4 years ago .. if we are unsure on the env, let me
just push this in.
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finally:
shutil
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.intConf
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.intConf
.creat
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--- Diff:
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@@ -25,17 +25,16 @@ import java.util.zip.Deflater
import scala.col
Github user HyukjinKwon commented on the issue:
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Let me leave this in few days in case someone has more comments on this.
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I said either way works fine. It doesn't matter which way we go. Better
close one of them if the approach is the same and both PRs are active.
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@KraFusion Sorry, I overlooked another PR.
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I don't see a notable risk here. That's just to avoid string interpolation,
which makes less error-prone, which is discussed already and the code change is
small.
I hope we can move oth
GitHub user shaneknapp opened a pull request:
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just testing pyarrow changes
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
## How was this patch tested?
(Please exp
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Thank you for creating a JIRA entry and for putting the result. The test
case is not available yet.
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