Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14481
@hvanhovell What's the status of this? If nobody takes this, I'll do.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14481
@yucai okay, thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16021
@dongjoon-hyun Thanks for letting me know! I'm not familiar with a backport
policy in spark though, if we can, I think it'd be better to do because it
seems there are still some of users use spark
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz Thanks for your comment! okay, I'll fix in a that way.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15980
@davies How about this fix? I think it seems to be difficult to put the
`earlyStop` flag in `shouldStop()` because `shouldStop()` is used for a caller
(an uppper `SparkPlan`) to exit a loop
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16030
[SPARK-18108][SQL] Fix a bug to fail partition schema inference
## What changes were proposed in this pull request?
This pr is to fix a bug to fail partition schema inference;
```
scala
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
This query passed in the released spark-2.0.2, so it seems this regression
is involved with SPARK-18510.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz @tdas Could you check this?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/13300
What's the status of this pr? It seems to be more natural that we implement
`from_csv` in a similar way of `from_json` in
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14812
@gatorsmile Do u have time to check this? Thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14038
@liancheng I'm not sure that the original motivation keeps alive in
SPARK-16317 though, if I need to do something, please let me know. I made new
code based on this pr
(https://github.com/apache
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/15928
[SPARK-18478][SQL] Support codegen'd Hive UDFs
## What changes were proposed in this pull request?
This pr is to support codegen'd Hive UDFs.
## How was this patch tested?
Add tests
Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/14039
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15928
okay, thanks
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/13300
I checked the feasibility to implement `from_json` in `sql.functions`; If
we move csv parser code (`CSVReader`, `CSVOptions`, ...) from
`o.a.s.sql.execution.datasources.csv
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/15945
[SPARK-12978][SQL] Merge unnecessary partial aggregates
## What changes were proposed in this pull request?
This pr is to merge unnecessary partial aggregates if the inputs of
aggregates
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14038
yea, as for data files, it's okay to filter out '_' and '.'. But, the file
pattens of metadata depend on file formats as suggested in
https://github.com/apache/spark/blob/master/sql/core/src/main
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15945
@hvanhovell @cloud-fan I think this target might be 2.2.0, so could you
check this after 2.1 is cut. Thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15257
I think it is difficult to support Seq and JList because of type erasure.
If it is possible to add a new interface below, we can support these types via
`ScalaReflection.schemaFor[T
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
I'm looking into the failures.
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GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16213
[SPARK-18020][Streaming][Kinesis] Checkpoint SHARD_END to finish reading
closed shards
## What changes were proposed in this pull request?
This pr is to fix an issue occurred when resharding
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16213
I'm looking into the failure.
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16213#discussion_r91829798
--- Diff:
external/kinesis-asl/src/test/scala/org/apache/spark/streaming/kinesis/KinesisStreamSuite.scala
---
@@ -225,6 +225,74 @@ abstract class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16213
Thanks for these comments! ya, I do not like this approach, too. But, since
those who reshard streams always hit this issue and resharding is important for
load-balancing in Kinesis streams
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16213#discussion_r91829740
--- Diff:
external/kinesis-asl/src/main/java/com/amazonaws/services/kinesis/clientlibrary/lib/worker/CheckpointerShim.java
---
@@ -0,0 +1,43
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
What's the status of this pr? If I've something to do, plz let me know.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
okay, I'll try to fix in that way, thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@cloud-fan okay, I updated the desc.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
oh, I wrongly wrote in an opposite way..., okay, fixed cc: @cloud-fan
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
Thanks! I found another wired behaviour related to this issue. Is this
expected? or, should we fix?
```
scala> import org.apache.spark.sql.types._
scala> val schema = new Stru
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r91210953
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -68,9 +69,16 @@ private[kinesis] class
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r91208525
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -68,9 +69,16 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@cloud-fan Does the latest fix satisfy what you suggested?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@liancheng As for `DataFrameReader.dataSchema()` and
`DataFrameReader.partitoinSchema()`, did you mean we add new interfaces there
for users to set user-defined data and partition schema
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r92543342
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetPartitionDiscoverySuite.scala
---
@@ -969,4 +969,17 @@ class
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r92594503
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
---
@@ -49,9 +49,12 @@ case class HadoopFsRelation
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r92600244
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/HadoopFsRelation.scala
---
@@ -49,10 +51,16 @@ case class HadoopFsRelation
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
okay
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r91419246
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -68,7 +68,16 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16213
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16114
@brkyvz Could you also check this pr #16213? Thanks!
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Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/10521
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/13736
I think this pr got stale, so I'll close this, thanks.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/10521
I think the GraphX features seems freeze, so I'll close this.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14812
okay, thanks! I'll check again soon
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16565
okay!
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GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16565
[SPARK-17237][SQL] Remove backticks in a pivot result schema
## What changes were proposed in this pull request?
Pivoting adds backticks (e.g. 3_count(\`c\`)) in column names and, in some
cases
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15945
@cloud-fan How about this fix?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14812
okay, thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15945
@hvanhovell @cloud-fan Could you check this? Thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14812
@gatorsmile okay, fixed.
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/15945#discussion_r95782977
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/QueryExecution.scala ---
@@ -90,18 +92,27 @@ class QueryExecution(val sparkSession
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16565
@gatorsmile oh, I see. Is it okay to mix this pr with the fix of #15111?
Would it be better to backport #15111 first then, backport this?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16213
@brkyvz I asked AWS guys and I found correct handling in this case (See:
https://forums.aws.amazon.com/thread.jspa?threadID=244218). I fixed in this way
and could you check this again? Thanks
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/14038
@liancheng Could you check this?
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Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/11461
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Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/13736
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/11461
I think this improvement is not always necessary, so I'll close this for
now. Thanks.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
Jenkins, retest this please.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
The failure seems to be not related to this pr?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz yea, I think so, but the issue of column ordering seems to be out
of scope in this original ticket. So, why don't we open a new jira and discuss
there?
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r90754922
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -56,6 +56,31 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16114
@srowen Do u know qualified maintainers on this component?
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r90752283
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -189,7 +189,15 @@ case class DataSource
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r90758322
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -56,6 +56,27 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16114
Jenkins, retest this please.
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r90758182
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -56,6 +56,27 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz Thanks! Does the latest fix apply your suggestion?
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r90601340
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisReceiver.scala
---
@@ -221,6 +221,12 @@ private[kinesis] class
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r90619967
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetPartitionDiscoverySuite.scala
---
@@ -969,4 +969,15 @@ class
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r90620033
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -174,22 +185,18 @@ case class DataSource
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r90620001
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -174,22 +185,18 @@ case class DataSource
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16114#discussion_r90600966
--- Diff:
external/kinesis-asl/src/main/scala/org/apache/spark/streaming/kinesis/KinesisRecordProcessor.scala
---
@@ -56,6 +56,38 @@ private[kinesis] class
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz How should we handle this query? I think we have some overheads to
check the constant value (`1480617712537`) in path matches all the data in
DataFrame and to throw an exception if illegal
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16030#discussion_r90620083
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/DataSource.scala
---
@@ -132,13 +132,24 @@ case class DataSource
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
@brkyvz How about this fix?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
okay, I'll do
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
This is not a bug in `VectorizedParquetReader ` as @liancheng said, and
the root cause is that wrongly inferred types are passed into the reader in
`VectorizedParquetReader#initBatch`
https
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16114
[SPARK-18620][Streaming][Kinesis] Flatten input rates in timeline for
streaming + kinesis
## What changes were proposed in this pull request?
This pr is to make input rates in timeline more
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
Thanks your review, @brkyvz ! I'm checking your comments now.
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Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16319#discussion_r92959056
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -246,9 +246,9 @@ private[csv] object
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
Aha, okay and I'll fix that way. Thanks!
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GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/16410
[SPARK-19005][SQL] Keep column ordering when a schema is explicitly
specified
## What changes were proposed in this pull request?
This pr is to keep column ordering when a schema is explicitly
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
I'm looking into the failure...
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
This fix change some existing behaviour in datasource.
For instance,
```
scala> sql("""CREATE TABLE testTable(a INT, b INT, c INT, d INT) USING
PARQUET PARTITIONED BY (b
Github user maropu commented on a diff in the pull request:
https://github.com/apache/spark/pull/16319#discussion_r92915632
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/csv/CSVInferSchema.scala
---
@@ -246,9 +246,9 @@ private[csv] object
Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16319
@HyukjinKwon Thanks for your pinging! I left some comments.
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16030
okay! I'll make a JIRA later and thanks!
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/15928
@hvanhovell Could you check this?
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16565
Okay and thanks!
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Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/16565
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16213
@brkyvz ping
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16565
@gatorsmile ping
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Github user maropu commented on the issue:
https://github.com/apache/spark/pull/16410
I looked around the code and then I though this is an expected behaviour,
so I'll close this. Thanks!
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Github user maropu closed the pull request at:
https://github.com/apache/spark/pull/16410
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