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LGTM. merged to master
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merged to master
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Github user felixcheung commented on a diff in the pull request:
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -343,7 +343,6 @@ setMethod("toDF", signature(x = "RDD"),
#' path <- "path/to/file.json"
#' df <- read.jso
Github user HyukjinKwon commented on the issue:
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Let's say, this can be behaivour changes too since metrics are now changed.
Should we update migration guide for safety?
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Github user HyukjinKwon commented on the issue:
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cc @cloud-fan and @gatorsmile
Should we update migration guide as well?
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@justinuang, this might affect existing users application. Although this
matches the behaviour to non-miltiline mode, can we explicitly mention it in
migration guide?
cc @cloud-fan and
Github user HyukjinKwon commented on the issue:
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This looks also external changes to existing application users. Shall we
update migration guide?
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Yup, will encourage to update the migration guide in that way.
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Yes. The goal of migration guide is for helping end users upgrade their
Spark.
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(From https://github.com/apache/spark/pull/22773#issuecomment-432917994)
@gatorsmile and @cloud-fan, let's say this will break `DESCRIBE FUNCTION
EXTENDED`. Should we update migration guide as w
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BTW, should we update migration guide too?
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Github user daviddingly commented on the issue:
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> Thank you for your first contribution, @daviddingly
> Could you [create issues
ticket](https://issues.apache.org/jira/projects/SPARK) first and change the pr
title to `[SPARK-x][BUILD]
Github user HyukjinKwon commented on the issue:
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Sure, so for clarification, we will document everything that affects to
external users application, right?
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All the things that could break the existing user applications should be
documented in the migration guide. This will simplify the system upgrade of our
end users.
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@cloud-fan, looks we are going to start another RC. Would you mind if I ask
to take a quick look before the new RC?
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retest this please
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My impression so far was that we note things at migration notes when they
are improvements (not bugs), and non-trivial and related to backward
compatibility.
Shall we clarify what to do
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cc @dongjoon-hyun @gatorsmile @rxin
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[SPARK-25832][] remove newly added map related functions from
FunctionRegistry
## What changes were proposed in this pull request?
(Please fill in changes proposed in this fix)
Github user cloud-fan commented on the issue:
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I think the new names are better and expected, though it's safer to mention
it in the migration guide in case some users care about it.
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--- Diff:
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@@ -56,8 +56,10 @@ pri
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Let me look on Friday during weekly review time.
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BTW, it's closer to bug rather then improvement tho. `from_json` should
have default name `from_json` rather then `jsontostructs` - end users would
have no idea why it's called `jsontostructs`.
Github user HyukjinKwon commented on the issue:
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That's the exact issue I raised before and we ended up with not keeping the
compatibility in column names. @cloud-fan and @hvanhovell.
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This is an external change. This needs a migration guide update.
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Github user srowen commented on the issue:
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Whoa, never seen a JVM crash like that!
```
[CodeBlob (0x7f6fc018add0)]
Framesize: 2
Runtime Stub (0x7f6fc018add0): handle_exception_from_callee Runtime1
stub
Could no
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Github user ouyangxiaochen commented on the issue:
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Yes, it happened in our real environment.
The scenario as follows:
Some disk corruption in the production cluster which is normal.
SPARK_LOCAL_DIRS = /data1/bigdata/spark/tmp, dis
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+1
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Thanks @viirya!!
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Github user yucai commented on the issue:
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@cloud-fan , exception screenshot. Let me know if you want any change.
!
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LGTM
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Sorry for late. This LGTM.
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retest this please
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--- Diff: python/pyspark/sql/functions.py ---
@@ -3023,6 +3023,42 @@ def pandas_udf(f=None, returnType=None,
functionType=None):
conversion on r
Github user 10110346 commented on the issue:
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What you say is reasonable.
But from the perspective of resource utilization, I think it is better to
replace `minPartitions` with `defaultParallelism`, we can see `BinaryFileRDD`
and `createNo
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Thanks, @BryanCutler.
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retest this please.
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core/src/main/scala/org/apache/spark/internal/config/package.scala ---
@@ -495,8 +495,8 @@ package object config {
ConfigBuilder("spark.
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