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Merging to master branch.
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Since this is a behaviour change, I think we need to update the migration
guide?
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
---
@@ -2792,4 +2793,31 @@ class SQLQuerySuite extends QueryTest with
Github user maropu commented on the issue:
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Also, `postgresql` has the function `array_cat` for concatenating arrays,
so it might be better to make the behaviour the same with the `postgresql` one:
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--- Diff:
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@@ -287,3 +289,152 @@ case class
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Jenkins, ok to test
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The change looks good, cc @cloud-fan
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LGTM
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Merged to master and branch-2.3 anyway.
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I think we should generally make everything works in both Python 2 and
Python 3 but I want to know if there are special chases that I am missing too
if there are any.
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--- Diff:
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@@ -1261,8 +1261,42 @@ case class
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--- Diff:
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@@ -287,3 +289,152 @@ case class
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--- Diff:
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@@ -129,6 +154,10 @@ private[parquet]
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@@ -50,6 +59,10 @@ private[parquet] object
Github user maropu commented on the issue:
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We should handle different (and compatible) typed arrays in this funs?
```
scala> sql("select concat_arrays(array(1L, 2L), array(3, 4))").show
org.apache.spark.sql.AnalysisException:
Github user maropu commented on the issue:
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The current code can't handle inner arrays;
```
scala> sql("select concat_arrays(array(1, 2, array(3, 4)), array(5, 6, 7,
8))").show
org.apache.spark.sql.AnalysisException: cannot resolve
Github user kevinyu98 commented on the issue:
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@tengpeng Thanks, are you using ./dev/lint-python to run the python style
test locally?
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -176,7 +176,7 @@ def json(self, path, schema=None,
primitivesAsString=None, prefersDecimal=None,
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@@ -353,6 +353,13 @@ object SQLConf {
.booleanConf
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -3046,6 +3046,14 @@ object functions {
ArrayContains(column.expr,
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If this one is merged, I believe it should be easier to review #20885 too.
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I am against to this mainly by
https://github.com/MaxGekk/spark-1/pull/1#discussion_r175444502 if there isn't
better way than rewriting it.
Also, I think we should support `charset` option
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There was a discussion about the naming here -
https://github.com/apache/spark/pull/20727#discussion_r172341859. I am against
to `recordDelimiter`.
Both PR deal with a different
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ping @cloud-fan
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ping @hvanhovell
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ping @hvanhovell
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ping @hvanhovell
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ping @gatorsmile and @hvanhovell
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LGTM
Thanks! Merged to master
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@MaxGekk @HyukjinKwon What are the status of this PR?
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--- Diff:
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@@ -85,6 +85,38 @@ private[sql] class JSONOptions(
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--- Diff: python/pyspark/sql/readwriter.py ---
@@ -176,7 +176,7 @@ def json(self, path, schema=None,
primitivesAsString=None, prefersDecimal=None,
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Since both PRs are ready for review, let us review both and see which one
is better
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Yeah. `recordDelimiter` is better based on the semantics.
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@@ -68,6 +68,23 @@ class
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I have cherry-picked this into branch-2.3
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@viirya I have backported #20817 to 2.3
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@foxish @mccheah can you help merge this?
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> One general question: how do we tend to think about the py2/3 split for
api quirks/features? Must everything that is added for py3 also be functional
in py2?
ideally, is there
Github user MaxGekk commented on a diff in the pull request:
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@@ -150,6 +150,12 @@ class CSVOptions(
Github user mstewart141 commented on the issue:
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Many (though not all, I don't think `callable`s are impacted) of the
limitations of pandas_udf relative to UDF in this domain are due to the fact
that `pandas_udf` doesn't allow for keyword
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@gatorsmile For example, Spark is case sensitive for jsons:
```
cat ./case_sesitive.json
{"FIELD1": 1}
```
If schema is specified with field name "field1":
```
val
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see https://github.com/apache/spark/pull/20900
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Github user rxin commented on the issue:
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We can also change both if they havenât been released yet.
On Sun, Mar 25, 2018 at 10:37 AM Maxim Gekk
wrote:
> @gatorsmile
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Correct me if I am wrong. None of renaming or adding more flexible
functionality to the line separator blocks this PR, right?
Even if we go renaming, we should do it for text datasource
Github user MaxGekk commented on the issue:
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@gatorsmile The PR has been already submitted:
https://github.com/apache/spark/pull/20885 . Frankly speaking I would prefer
another name for the option like we discussed before:
Github user HyukjinKwon commented on the issue:
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He submitted this - https://github.com/apache/spark/pull/20885 and I
believe we need more feedback and another review iteration.
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@@ -353,6 +353,13 @@ object SQLConf {
.booleanConf
Github user gatorsmile commented on the issue:
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I just checked the JIRA https://issues.apache.org/jira/browse/SPARK-23786,
I think CSV should follow the other format (e.g., parquet), right?
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@@ -289,27 +294,52 @@ private[csv] object
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@@ -150,6 +150,12 @@ class CSVOptions(
Github user gatorsmile commented on the issue:
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@MaxGekk Will you submit a PR for addressing the comment
https://github.com/apache/spark/pull/20877#issuecomment-375622342 in the next
few weeks? If so, we can hold this PR.
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@@ -268,6 +268,8 @@ final class DataStreamReader
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Can one of the admins verify this patch?
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Thanks! Merged to master
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LGTM
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/20877
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Github user Lemonjing commented on the issue:
https://github.com/apache/spark/pull/20897
@HyukjinKwon
The description of ElementwiseProduct is obvious, and i think
"`Qu8T948*1#`" is a mistake, if not, "`Qu8T948*1#`" is a input vector and 1 is
scaling vector, and this is not
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