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Can you please describe the usage scenario for this under standalone mode?
I know it is used in yarn mode, because Hadoop and Spark are two distributions,
they may build and run with different JVM
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Tightening `CaseWhenCoercion` rule should be okay, but I guess we need to
fix the output data type of `CaseWhen` and `If` with the same reason as
https://github.com/apache/spark/pull/21704#discussion
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Github user maropu commented on the issue:
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One of refactoring ideas is to inject the functionality of
`ReorderJoin`(=`StarSchemaDetection`)
into `CostBasedJoinReorder`;
In [the batch rule `Join Reorder` (`Once`
strategy)](https:/
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[SPARK-24681][SQL] Verify nested column names in Hive metastore
## What changes were proposed in this pull request?
This pr added code to check if nested column names do not include ',', ':',
an
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.o
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[SPARK-24207][R]add R API for PrefixSpan
## What changes were proposed in this pull request?
add R API for PrefixSpan
## How was this patch tested?
add test in test_mllib_fpm
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ping @cloud-fan for taking a look again.
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@cloud-fan Any more thing I should do for this to make this in? Thanks.
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If you want metrics conf to be centralized without needing to put it on to
different nodes, you can set it through `SparkConf` with prefix
"spark.metrics.conf.", MetricsSystem also supports gettin
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Hi @jzhuge what is the purpose of supporting reading metrics conf from
HDFS/S3?
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+/*
+ * Licensed to the Apache Software F
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--- Diff:
sql/core/src/main/java/org/apache/spark/sql/sources/v2/CatalogSupport.java ---
@@ -0,0 +1,36 @@
+/*
+ * Licensed to the Apache Software
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