Github user cloud-fan commented on the issue:
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it looks like other databases are very careful about precision lose.
However, following DB2 and throwing exception is pretty bad for big data
applications, but returning null is also bad as it
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@@ -0,0 +1,432 @@
+/*
+ *
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ok, I'll brush up based on your suggestion.
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retest this please.
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Could you also add another test scenario? For the existing Hive tables
(created by Hive), does our Spark respect it? Do we use the existing
compression configuration?
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+/*
+ *
GitHub user ueshin opened a pull request:
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[SPARK-22874][PYSPARK][SQL] Modify checking pandas version to use
LooseVersion.
## What changes were proposed in this pull request?
Currently we check pandas version by capturing if
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We need test cases. Manual tests are not enough.
I will try to review this tomorrow. Thanks!
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retest this please
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Github user viirya commented on the issue:
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> What about future? Will we need to output statement for some reason? like
reducing the usage of local variables?
I think that we won't have strong motivation to use output statement. The
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cc @liufengdb
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Can one of the admins verify this patch?
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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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--- Diff: docs/running-on-kubernetes.md ---
@@ -120,6 +120,57 @@ by their appropriate remote URIs. Also, application
dependencies can be pre-moun
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--- Diff: docs/running-on-kubernetes.md ---
@@ -528,51 +579,90 @@ specific to Spark on Kubernetes.
-
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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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What are multiple expressions?
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@@ -125,13 +128,39 @@ private[spark] class LiveListenerBus(conf:
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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
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
Github user maropu commented on the issue:
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might have...I'll check the performance.
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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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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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Yes; otherwise, it will introduce a performance regression, right?
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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 zsxwing commented on the issue:
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Thanks! Merging to master!
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def base64(e: Column): Column =
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