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Seems fine but I or someone else should take a closer look before getting
this in.
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Thank you! I'll merge this to the master.
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Oh, I see. May the code template make some confusion. I'd change it. The
downstream code is wrapped inside an if block. I don't clearly show how
downstream operators work in codegen. Let me update
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--- Diff: docs/sql-programming-guide.md ---
@@ -1002,6 +1002,21 @@ Configuration of Parquet can be done using the
`setConf` method on `SparkSession
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--- Diff: python/pyspark/sql/functions.py ---
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@ignore_unicode_prefix
@since(2.4)
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LGTM
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--- Diff: R/pkg/R/functions.R ---
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#' }
#' @param ... additional argument(s). In \code{to_json} and
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* @param e a column
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Merged to master and branch-2.4.
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Let me push this into branch-2.4 as well to address renaming concern by
@BryanCutler.
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[SPARK-25501] Kafka delegation token support
## What changes were proposed in this pull request?
Kafaka is going to support delegation token, Spark need to read the
delegation token
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Github user falaki commented on the issue:
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@adrian555 These all great points. My high-level was enabling other
platforms (e.g., Jupyter) to plugin more advanced (custom) functions for
displaying SparkDataFrame. If the framework does not set
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--- Diff: docs/sql-programming-guide.md ---
@@ -1877,6 +1877,10 @@ working with timestamps in `pandas_udf`s to get the
best performance, see
#
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best performance, see
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best performance, see
#
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sure
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@@ -19,7 +19,7 @@ package org.apache.spark.rdd
import
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -42,7 +42,8 @@ import org.apache.spark.partial.GroupedCountEvaluator
import
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It turns out that `withTempTable` cannot be here together because it
requires `spark.catalog`.
```scala
def withTempTable(tableNames: String*)(f: => Unit): Unit = {
try f
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retest this please
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thanks, merging to master/2.4!
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Github user shuyang-truex commented on the issue:
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Just like to add that I was able to test this PR in our production
environment and it works well, really hope to see it get merged.
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+1, Sure, @cloud-fan !
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Did another quick micro benchmark on a small cluster:
```scala
import org.apache.spark.util.collection.ExternalAppendOnlyMap
def removeDuplicatesInPartition(partition:
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We have duplicated `withTempPath`, `withTempTable` too. Shall we pull them
out as well? The trait name can be `SQLHelper`
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Hi, @npoberezkin . Thank you for your first contribution. Could you update
your PR to use custom key-value metadata according to the above advice of
@rdblue ? Also, please use tag `[SQL]`
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retest this please
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YARN looks happy. LGTM pending tests.
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Another flavor will be this
```r
print.SparkDataFrame <- function(x, ...) {
if ((length(list(...)) > 0) &&
identical(sparkR.conf("spark.sql.repl.eagerEval.enabled", "false")[[1]],
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ok to test
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Github user shahidki31 commented on the issue:
https://github.com/apache/spark/pull/22549
cc @vanzin @srowen
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