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Github user gatorsmile commented on the issue:
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BTW, the ongoing test will be killed by -9 at midnight
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Since this is just to remove the file and the previous test already passed,
I would merge it to master/2.3. Thanks!
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Thanks! Merged to master/2.3
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What is the root cause? Do we have a trivial fix to resolve/block it?
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--- Diff: docs/sql-programming-guide.md ---
@@ -1004,6 +1004,29 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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--- Diff: dev/make-distribution.sh ---
@@ -72,9 +76,19 @@ while (( "$#" )); do
--help)
exit_with_usage
;;
-*)
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thanks!
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Retest this please.
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There is one more thing -
https://github.com/apache/spark/pull/20567#issuecomment-364639922 We didn't
complete binary type support yet in Python side but there is a hole here ..
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Github user mrkm4ntr commented on the issue:
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@hvanhovell I added a method and changed it so that we call it only from
FeatureHasher.
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Saw the history. Our UTF-16 support is pretty weak. Let me revert the test
case.
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[SPARK-23434][SQL] Spark should not warn `metadata directory` for a HDFS
file path
## What changes were proposed in this pull request?
When Spark reads a file path (e.g. `people.json
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LGTM
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hmm I think you're right @zsxwing that we should be updating `isZombie`
before `sched.dagScheduler.taskEnded` and `sched.dagScheduler.taskSetFailed` is
called, just to keep state consistent. I don't
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--- Diff: docs/sql-programming-guide.md ---
@@ -1004,6 +1004,29 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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Retest this please
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The failure seems to be irrelevant to this.
```
org.apache.spark.sql.execution.streaming.RateSourceV2Suite.basic microbatch
execution
```
---
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It sounds like we fixed a "bug" and make the actual partition size more
close to the expected one, but caused another "bug". 2 speculations:
1. The expected partition size can't maximum re
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ping @gatorsmile, @rednaxelafx
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