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Github user Fokko commented on the issue:
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Now it is the case that we explicitly need to downgrade fasterxml:
```
[info] org.apache.spark.sql.streaming.StreamingQueryException: Query [id
= 99e7c44d-6f74-49f7-8d81-6e1059d13e89, runId
Github user Fokko commented on the issue:
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@srowen I understand the situation, looking at the fasterxml dependency:
Not used by Hadoop 2.6:
https://hadoop.apache.org/docs/r2.6.5/hadoop-project-dist/hadoop-hdfs/dependency-analysis.html
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Github user MaxGekk commented on the issue:
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LGTM
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I can do a 5 runs before and after the patch, and come up with some
statistics such as average and stddev, to get rid of the uncertainty a bit.
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Personally I'm not sure how representative the tests are. I have the
feeling there is a lot of variation between the runs. Also it is not just
parsing the plain JSON, but everything around it :)
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@MaxGekk I've reran the benchmarks as you asked. The first run to set the
baseline based on master:
https://github.com/apache/spark/pull/21596/commits/32ec12bdfe1fd9377c0f4037942da9e2a49e8f9a
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@gatorsmile The obvious regression is in schema inferring benchmarks but in
other cases there is significant performance boost even on slower hardware.
@Fokko Could you, please, run the JSON
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What is the conclusion of this perf comparison? A regression?
If we do not have a strong reason, we should avoid the upgrade. Jackson is
pretty important for our JSON sources.
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It took some time, but here it is, current master:
```
MacBook-Pro-van-Fokko:dist fokkodriesprong$ cat /tmp/spark-master.txt
Preparing data for benchmarking ...
Running benchmark: JSON
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Github user vanzin commented on the issue:
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Also please use the PR summary to describe the change, not for asking
questions or other things that are more suited for comments / Jira.
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Github user vanzin commented on the issue:
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Could you write a more descriptive summary? At least including the version.
Your benchmark number updates don't really make a lot of sense. I think the
idea of those is to post a comment -
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I would preferably get this in Spark 2.4 :-)
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Can we target this to Spark 3.0, which should be the next release after
Spark 2.4 release?
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Github user Fokko commented on the issue:
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Thanks @MaxGekk for pointing out. I've also added the command to the
comments in the test for future reference.
I've ran the benchmark. The inferring became a bit slower (`0.85x`
relative),
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`mvn package -pl sql/core -DskipTests` should build such jar
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@MaxGekk Any pointers on how to build this test-jar containing spark sql
test-classes?
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Github user Fokko commented on the issue:
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So now it trims too much, we get:
```
[ {
"id" : "local-1422981759269",
"name" : "Spark shell",
"attempts" : [ {
"startTime" : "2015-02-03T16:42:38.277GMT",
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retest this please
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> I will first fix the tests, and then assert the performance if you agree.
Changing the annotations might impact the performance.
Ah, yea sure.
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Github user Fokko commented on the issue:
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I will first fix the tests, and then assert the performance if you agree.
Changing the annotations might impact the performance.
Regarding the difference between `NON_NULL`, `NON_ABSENT`,
Github user HyukjinKwon commented on the issue:
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re: https://github.com/apache/spark/pull/21596#issuecomment-399639768
can we keep the previous behaviour although it's by kind of a bug in
Jackson? BTW, I thought we should use
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BTW, I believe it's okay to use Jenkins resource if that's a faster way to
resolve this issue in any event.
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@Fokko, btw, I believe
https://github.com/apache/spark/pull/21596#issuecomment-399160931 is a valid
comment. I think it would be nicer if we execute this benchmark and update the
results in
Github user Fokko commented on the issue:
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When looking at the history server, we have a similar issue. From at the
list command
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Ok, I've found the issue:
https://github.com/FasterXML/jackson-module-scala/issues/325
Changing this to `NON_ABSENT` should fix this.
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Oops, a dangling file. Sorry for triggering so many builds guys.
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Hmm, I see a relevant failing test:
```
org.scalatest.exceptions.TestFailedException:
"...430","name":"scope1"[,"parent":null]}" did not equal
"...430","name":"scope1"[]}"
```
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