HyukjinKwon commented on issue #23357: [SPARK-26451][SQL] Change lead/lag
argument name from count to offset
URL: https://github.com/apache/spark/pull/23357#issuecomment-450178997
Merged to master.
I think it's fine too but please let me know if anyone feels against. We can
do
HyukjinKwon commented on issue #21732: [SPARK-24762][SQL] Enable Option of
Product encoders
URL: https://github.com/apache/spark/pull/21732#issuecomment-450181891
Hm, for aggregators, I would consider this as non root level. Looks they use
the same encoder but can't be the same.
SparkQA commented on issue #23386: [SPARK-26446][CORE] Improve docs on
ExecutorAllocationManager
URL: https://github.com/apache/spark/pull/23386#issuecomment-450201074
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dongjoon-hyun closed pull request #23389: [2.4] revert [SPARK-26021][SQL]
replace minus zero with zero in Platform.putDouble/Float
URL: https://github.com/apache/spark/pull/23389
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srowen commented on a change in pull request #23401: Trigger GC on executor
node idle
URL: https://github.com/apache/spark/pull/23401#discussion_r244610240
##
File path: core/src/main/scala/org/apache/spark/executor/Executor.scala
##
@@ -628,6 +628,24 @@ private[spark]
SandishKumarHN opened a new pull request #23401: Trigger GC on executor node
idle
URL: https://github.com/apache/spark/pull/23401
## What changes were proposed in this pull request?
### Trigger GC on executor node idle
Correct me if I'm wrong.
### Stage
On a large
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URL: https://github.com/apache/spark/pull/23418#discussion_r244621528
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holdenk commented on issue #23401: [SPARK-26513][Core] : Trigger GC on executor
node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450700797
For "Dynamic allocation probably eliminates most of the benefit because of
executor turn-over" I think we could still see some
holdenk commented on issue #20658: [SPARK-23488][python] Add missing catalog
methods to python API
URL: https://github.com/apache/spark/pull/20658#issuecomment-450701337
@HyukjinKwon I agree doctests would be awesome, but given the rest of the
file doesn't have them I think it could be a
chanansh commented on a change in pull request #23414: [SPARK-26449][PYTHON]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631252
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [SPARK-26449][PYTHON]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631269
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [SPARK-26449][PYTHON]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631269
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
yanlin-Lynn commented on a change in pull request #23369: [SPARK-26429][SS]add
jdbc sink for Structured Streaming.
URL: https://github.com/apache/spark/pull/23369#discussion_r244632164
##
File path:
SandishKumarHN commented on issue #23401: Trigger GC on executor node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450682724
@srowen Yes we referred this article
https://www.computer.org/csdl/proceedings/hipc/2016/5411/00/07839705.pdf which
helped on us improve spark
HyukjinKwon commented on issue #23414: [Spark 26449][PYSPARK] add a transform
method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#issuecomment-450682830
the build was failed due to the reason below:
```
pycodestyle checks failed:
MaxGekk commented on a change in pull request #23417: [SPARK-26374][TEST][SQL]
Enable TimestampFormatter in HadoopFsRelationTest
URL: https://github.com/apache/spark/pull/23417#discussion_r244621072
##
File path:
srowen commented on a change in pull request #23420: [SPARK-26508][Core][SQL]
Address warning messages in Java reported at lgtm.com
URL: https://github.com/apache/spark/pull/23420#discussion_r244624369
##
File path:
holdenk commented on issue #20146: [SPARK-11215][ML] Add multiple columns
support to StringIndexer
URL: https://github.com/apache/spark/pull/20146#issuecomment-450701693
I like how you've addressed that with the handling of NaNs. I'll give this a
once-over on Friday just to make sure
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HyukjinKwon edited a comment on issue #23288: [SPARK-26339][SQL]Throws better
exception when reading files that start with underscore
URL: https://github.com/apache/spark/pull/23288#issuecomment-450703754
@srowen, this didn't run the test! Looks some tests are being broken
HyukjinKwon commented on issue #23400: [SPARK-26499] [SQL] JdbcUtils.makeGetter
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URL: https://github.com/apache/spark/pull/23400#issuecomment-450703891
retest this please
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HyukjinKwon commented on issue #23184: [SPARK-26227][R] from_[csv|json] should
accept schema_of_[csv|json] in R API
URL: https://github.com/apache/spark/pull/23184#issuecomment-450704499
Yea, Scala side change is already made about
`from_[csv|json](schema_of_[csv|json]())`.
HeartSaVioR commented on issue #23418: [MINOR] Fix inconsistency log level
among delegation token providers
URL: https://github.com/apache/spark/pull/23418#issuecomment-450704550
Thanks @srowen and @HyukjinKwon for reviewing and merging!
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gatorsmile commented on issue #22617: [SPARK-25484][SQL][TEST] Refactor
ExternalAppendOnlyUnsafeRowArrayBenchmark
URL: https://github.com/apache/spark/pull/22617#issuecomment-450711900
Please help review it @dongjoon-hyun @kiszk @wangyum
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gatorsmile commented on a change in pull request #20433: [SPARK-23264][SQL]
Make INTERVAL keyword optional in INTERVAL clauses
URL: https://github.com/apache/spark/pull/20433#discussion_r244629240
##
File path: sql/core/src/test/resources/sql-tests/inputs/interval.sql
##
maropu commented on a change in pull request #20433: [SPARK-23264][SQL] Make
INTERVAL keyword optional in INTERVAL clauses
URL: https://github.com/apache/spark/pull/20433#discussion_r24463
##
File path: sql/core/src/test/resources/sql-tests/inputs/interval.sql
##
@@
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chanansh commented on a change in pull request #23414: [Spark 26449][PYSPARK]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631080
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [Spark 26449][PYSPARK]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631053
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [Spark 26449][PYSPARK]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631026
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [Spark 26449][PYSPARK]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631035
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
chanansh commented on a change in pull request #23414: [Spark 26449][PYSPARK]
add a transform method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#discussion_r244631041
##
File path: python/pyspark/sql/dataframe.py
##
@@ -2046,6 +2046,40 @@ def
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chanansh commented on issue #23414: [SPARK-26449][PYTHON] add a transform
method to the Dataframe class
URL: https://github.com/apache/spark/pull/23414#issuecomment-450718473
@HyukjinKwon, please review latest.
This is an
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srowen commented on a change in pull request #23419: [SPARK-26507][CORE] Fix
core tests for Java 11
URL: https://github.com/apache/spark/pull/23419#discussion_r244610615
##
File path: pom.xml
##
@@ -2113,7 +2115,7 @@
**/*Suite.java
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MaxGekk commented on a change in pull request #23417: [SPARK-26374][TEST][SQL]
Enable TimestampFormatter in HadoopFsRelationTest
URL: https://github.com/apache/spark/pull/23417#discussion_r244620988
##
File path:
MaxGekk commented on a change in pull request #23417: [SPARK-26374][TEST][SQL]
Enable TimestampFormatter in HadoopFsRelationTest
URL: https://github.com/apache/spark/pull/23417#discussion_r244620988
##
File path:
SandishKumarHN commented on issue #23401: [SPARK-26513][Core] : Trigger GC on
executor node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450694795
@srowen we have 1TB data persisted on the cache and 100 GB data gets cached
and unpersisted every 15 minutes. we found
srowen commented on issue #23401: [SPARK-26513][Core] : Trigger GC on executor
node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450697159
I wonder what happens if you just set something like
`-XX:InitiatingHeapOccupancyPercent=25` to more aggressively GC along the
kiszk commented on a change in pull request #23420: [SPARK-26508][Core][SQL]
Address warning messages in Java reported at lgtm.com
URL: https://github.com/apache/spark/pull/23420#discussion_r244623896
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rdblue edited a comment on issue #23401: [SPARK-26513][Core] : Trigger GC on
executor node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450701012
> Dynamic scale down is often done fairly conservatively when combined with
cached blocks
I agree. We (Netflix)
rdblue commented on issue #23401: [SPARK-26513][Core] : Trigger GC on executor
node idle
URL: https://github.com/apache/spark/pull/23401#issuecomment-450701012
> Dynamic scale down is often done fairly conservatively when combined with
cached blocks
I agree. We actually don't
HyukjinKwon commented on a change in pull request #23184: [SPARK-26227][R]
from_[csv|json] should accept schema_of_[csv|json] in R API
URL: https://github.com/apache/spark/pull/23184#discussion_r244626719
##
File path: R/pkg/R/functions.R
##
@@ -2328,22 +2343,27 @@
felixcheung commented on a change in pull request #23419: [SPARK-26507][CORE]
Fix core tests for Java 11
URL: https://github.com/apache/spark/pull/23419#discussion_r244626715
##
File path: pom.xml
##
@@ -2113,7 +2115,7 @@
**/*Suite.java
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gatorsmile commented on a change in pull request #23391: [SPARK-26456][SQL]
Cast date/timestamp to string by Date/TimestampFormatter
URL: https://github.com/apache/spark/pull/23391#discussion_r244627486
##
File path:
singhpraveen2010 commented on issue #22758: [SPARK-25332][SQL] Instead of
broadcast hash join ,Sort merge join node is added in the plan for the join
queries executed in a new spark session/context
URL: https://github.com/apache/spark/pull/22758#issuecomment-450707984
test
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SandishKumarHN edited a comment on issue #23401: [SPARK-26513][Core] : Trigger
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URL: https://github.com/apache/spark/pull/23401#issuecomment-450708903
@gatorsmile that's what we are doing right now. we have taken spark source
code modified with a param
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SparkQA commented on issue #23422: [SPARK-26514][CORE] Support running multi
tasks per cpu core
URL: https://github.com/apache/spark/pull/23422#issuecomment-450710240
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gatorsmile commented on issue #23259: [SPARK-26215][SQL][WIP] Define
reserved/non-reserved keywords based on the ANSI SQL standard
URL: https://github.com/apache/spark/pull/23259#issuecomment-450710217
ping @maropu Anything is blocking this PR?
caneGuy opened a new pull request #23422: [SPARK-26514][CORE] Support running
multi tasks per cpu core
URL: https://github.com/apache/spark/pull/23422
## What changes were proposed in this pull request?
Introduce `spark.cpu.tasks` to improve performance for some applications
and
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ExternalAppendOnlyUnsafeRowArrayBenchmark
URL: https://github.com/apache/spark/pull/22617#issuecomment-450712080
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maropu commented on issue #20433: [SPARK-23264][SQL] Make INTERVAL keyword
optional in INTERVAL clauses
URL: https://github.com/apache/spark/pull/20433#issuecomment-450712099
I think #23259 might have much room for discussions, so how about taking
this with the new ansi option first, and
AmplabJenkins commented on issue #22617: [SPARK-25484][SQL][TEST] Refactor
ExternalAppendOnlyUnsafeRowArrayBenchmark
URL: https://github.com/apache/spark/pull/22617#issuecomment-450712081
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AmplabJenkins removed a comment on issue #22617: [SPARK-25484][SQL][TEST]
Refactor ExternalAppendOnlyUnsafeRowArrayBenchmark
URL: https://github.com/apache/spark/pull/22617#issuecomment-450712081
Test PASSed.
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