Github user gatorsmile commented on the issue:
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What are multiple expressions?
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@gatorsmile
I'd test manully. When table-level compression not configured, it always
take the session level compression, and ignore the existing file compression.
Seems like a bug, however,
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Thanks! Merging to master!
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Github user maropu commented on the issue:
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might have...I'll check the performance.
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Github user gatorsmile commented on the issue:
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Thank you for your investigation!
Basically, because the option `escape` is set to `\`, the default value of
`charToEscapeQuoteEscaping` is actually `\` in effect.
Could you
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@gatorsmile could you explain why you have doubts about the feature? Thanks!
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Github user gatorsmile commented on the issue:
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```
db2 => create table decimals_test(id int, a decimal(31,18), b
decimal(31,18))
DB2I The SQL command completed successfully.
db2 => insert into decimals_test values (1, 2.33,
Github user timout commented on the issue:
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That does exactly what is supposed to do. And you absolutely right it
related to executors.
I am sorry if it is not clear from my previous explanations.
Let us say:
Spark Streaming App -
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Github user gatorsmile commented on the issue:
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Thank you for your contribution! I am doubting the value of this feature.
If you are interested in the JDBC-related work, could you take
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Yes; otherwise, it will introduce a performance regression, right?
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[SPARK-22890][TEST] Basic tests for DateTimeOperations
## What changes were proposed in this pull request?
Test Coverage for `DateTimeOperations`, this is a Sub-tasks for
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Github user maropu commented on the issue:
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@gatorsmile Any progress on this?
https://github.com/apache/spark/pull/19982#discussion_r157119941
After I thought your comment, I came up with collecting metrics for each
rule like;
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I found the optimizer rule can't combine nested concat like;
```
scala>: psate
val df = sql("""
SELECT ((col1 || col2) || (col3 || col4)) col
FROM (
SELECT
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def base64(e: Column): Column =
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[SPARK-22889][SPARKR] Set overwrite=T when install SparkR in tests
## What changes were proposed in this pull request?
Since all CRAN checks go through the same machine, if there is an
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def udf(f=None, returnType=StringType()):
---
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wrapper.func = self.func
wrapper.returnType =
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self.assertEqual(list(range(3)), l1)
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Updated in
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Github user foxish commented on a diff in the pull request:
https://github.com/apache/spark/pull/20059#discussion_r158566909
--- Diff: docs/running-on-kubernetes.md ---
@@ -120,6 +120,23 @@ by their appropriate remote URIs. Also, application
dependencies can be pre-moun
Those
Github user foxish commented on a diff in the pull request:
https://github.com/apache/spark/pull/20059#discussion_r158566870
--- Diff: docs/running-on-kubernetes.md ---
@@ -120,6 +120,23 @@ by their appropriate remote URIs. Also, application
dependencies can be pre-moun
Those
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20059
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