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sure
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[SPARK-20664][core] Follow-up: remove workaround for SPARK-23103.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/vanzin/spark SPARK-20664
Alte
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Thanks @jiangxb1987 for the great work !
I will merge this in when the build successfully completes.
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--- Diff: python/pyspark/serializers.py ---
@@ -267,13 +267,13 @@ def load_stream(self, stream):
"""
Deserialize ArrowRecordBat
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Github user squito commented on the issue:
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I tried this out on a cluster and seemed fine. I also tried with a bad
app, where all tasks fail, its not just because of the host, and all the
executors show up as blacklisted, but I guess that is
Github user squito commented on the issue:
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@attilapiros can you please update the PR description to also mention node
blacklisting (at least briefly) and file a jira for the followup work, and ping
me & tom on it?
lgtm
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[SPARK-23163][DOC][PYTHON] Sync ML Python API with Scala
## What changes were proposed in this pull request?
This syncs the ML Python API with Scala for differences found after the 2.3
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@holdenk @MLnick , just found some minor doc differences between python and
scala during the audit for 2.3
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retest this please
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Thanks! Merged to master/2.3
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@cloud-fan, please ping me to review PRs for DataSourceV2. Our new table
format uses it and we're preparing some changes, so I want to make sure we're
heading in the same direction for this.
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@jiangxb1987, @cloud-fan, what was the use case you needed to add this for?
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ah, ok. I wait for the work! Thanks!
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ok, I'll try and check. Just s sec.
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--- Diff:
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Github user jiangxb1987 commented on the issue:
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With `SessionConfigSupport`, you can use the datasource session configs
more easily for that:
1. All configs with the name prefix `spark.datasource.$keyPrefix` will be
imported in to the dat
Github user jiangxb1987 commented on the issue:
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This is not `respect project nodes`, this actually expand the `ReorderJoin`
rule to allow handle the project-over-join nodes.
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@@ -84,19 +84,46 @@ object ReorderJoin extends Rule[Logic
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Github user jerryshao commented on the issue:
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Using `getOrCreate` in constructor seems change the semantics. Maybe we can
add a new static method for such usage in `JavaSparkContext`.
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ah sorry I missed this, but it's not too late to do post-hoc reviews, any
comments are welcome!
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--- Diff: sql/core/src/test/resources/tpcds-v2.7.0/q11.sql ---
@@ -0,0 +1,78 @@
+with year_total as (
+ select c_customer_id customer_id
+ ,
Github user rdblue commented on the issue:
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@jiangxb1987, I understand what this does. I just wanted an example use
case where it was necessary. What was the motivating *use case*?
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Github user cloud-fan commented on the issue:
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@rdblue This is also what we already have for built-in data sources, e.g.
`spark.sql.parquet.compression.codec`, `spark.sql.parquet.filterPushdown`, etc.
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@shivaram alright, should be good with the tests now -- let me know how it
seems
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Basically we want per-query options, which can be specified via
`DataFrameReader/Writer.option`, and we also want per-session options, which
can save users from typing same options again and again
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@@ -48,14 +48,16 @@ public synchronized void disconnect() {
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SPARK-23148: [SQL] Allow pathnames with special characters for CSV / â¦
â¦JSON / text
## What changes were proposed in this pull request?
Fix for JSON and CSV data sources when fi
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Thanks for the example, @cloud-fan.
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Thanks! @jiangxb1987 I'll address your comments and check again?
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