Cheng Hao created SPARK-4744:
Summary: Short Circuit evaluation for AND OR in code gen
Key: SPARK-4744
URL: https://issues.apache.org/jira/browse/SPARK-4744
Project: Spark
Issue Type
Cheng Hao created SPARK-4735:
Summary: Spark SQL UDF doesn't support 0 arguments.
Key: SPARK-4735
URL: https://issues.apache.org/jira/browse/SPARK-4735
Project: Spark
Issue Type: Bug
/pull/3595 )
b. It expects the function return type to be immutable.Seq[XX] for List,
immutable.Map[X, X] for Map, scala.Product for Struct, and only Array[Byte] for
binary. The Array[_] is not supported.
Cheng Hao
From: Tobias Pfeiffer [mailto:t...@preferred.jp]
Sent: Thursday, December 4
You can try to write your own Relation with filter push down or use the
ParquetRelation2 for workaround.
(https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/parquet/newParquet.scala)
Cheng Hao
-Original Message-
From: Jerry Raj [mailto:jerry
Cheng Hao created SPARK-4713:
Summary: SchemaRDD.unpersist() should not raise exception if it is
not cached.
Key: SPARK-4713
URL: https://issues.apache.org/jira/browse/SPARK-4713
Project: Spark
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Cheng Hao commented on HIVE-9004:
-
[~namit] sorry, I am not sure the review process, can
Cheng Hao created HIVE-9004:
---
Summary: Reset doesn't work for the default empty value entry
Key: HIVE-9004
URL: https://issues.apache.org/jira/browse/HIVE-9004
Project: Hive
Issue Type: Bug
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Cheng Hao reassigned HIVE-9004:
---
Assignee: Cheng Hao
Reset doesn't work for the default empty value entry
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Cheng Hao updated HIVE-9004:
Attachment: reset.patch
Reset doesn't work for the default empty value entry
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Cheng Hao updated HIVE-9004:
Fix Version/s: 0.14.1
0.15.0
spark-branch
Status: Patch
Cheng Hao created SPARK-4662:
Summary: Whitelist more Hive unittest
Key: SPARK-4662
URL: https://issues.apache.org/jira/browse/SPARK-4662
Project: Spark
Issue Type: Bug
Components: SQL
Cheng Hao created SPARK-4636:
Summary: Cluster By Distribute By output different with Hive
Key: SPARK-4636
URL: https://issues.apache.org/jira/browse/SPARK-4636
Project: Spark
Issue Type: Bug
From: Jianshi Huang [mailto:jianshi.hu...@gmail.com]
Sent: Thursday, November 27, 2014 10:24 PM
To: Cheng, Hao
Cc: user
Subject: Re: Auto BroadcastJoin optimization failed in latest Spark
Hi Hao,
I'm using inner join as Broadcast join didn't work for left joins (thanks for
the links
Cheng Hao created SPARK-4625:
Summary: Support Sort By in both DSL SimpleSQLParser
Key: SPARK-4625
URL: https://issues.apache.org/jira/browse/SPARK-4625
Project: Spark
Issue Type: New Feature
Are all of your join keys the same? and I guess the join type are all “Left”
join, https://github.com/apache/spark/pull/3362 probably is what you need.
And, SparkSQL doesn’t support the multiway-join (and multiway-broadcast join)
currently, https://github.com/apache/spark/pull/3270 should be
Spark SQL doesn't support the DISTINCT well currently, particularly the case
you described, it will leads all of the data fall into a single node and keep
them in memory only.
Dev community actually has solutions for this, it probably will be solved after
the release of Spark 1.2.
Cheng Hao created SPARK-4573:
Summary: Support SettableStructObjectInspector for function wrap
in HiveObjectInspectors
Key: SPARK-4573
URL: https://issues.apache.org/jira/browse/SPARK-4573
Project: Spark
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https://issues.apache.org/jira/browse/SPARK-4573?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14222961#comment-14222961
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Cheng Hao commented on SPARK-4573:
--
HIVE UDAF needs SettableStructObjectInspector
Can you try query like “SELECT timestamp, CAST(timestamp as string) FROM logs
LIMIT 5”, I guess you probably ran into the timestamp precision or the timezone
shifting problem.
(And it’s not mandatory, but you’d better change the field name from
“timestamp” to something else, as “timestamp” is
Cheng Hao created SPARK-4512:
Summary: Unresolved Attribute Exception for sort by
Key: SPARK-4512
URL: https://issues.apache.org/jira/browse/SPARK-4512
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-2918?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-2918:
-
Summary: EXPLAIN doens't support the CTAS (was: EXPLAIN doens't support
the native command)
EXPLAIN
Cheng Hao created SPARK-4448:
Summary: Support ConstantObjectInspector for unwrapping data
Key: SPARK-4448
URL: https://issues.apache.org/jira/browse/SPARK-4448
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-4469:
Summary: Move the SemanticAnalyzer from Physical Execution to
Analysis
Key: SPARK-4469
URL: https://issues.apache.org/jira/browse/SPARK-4469
Project: Spark
Issue
Cheng Hao created SPARK-4366:
Summary: Aggregation Optimization
Key: SPARK-4366
URL: https://issues.apache.org/jira/browse/SPARK-4366
Project: Spark
Issue Type: Improvement
Components
Cheng Hao created SPARK-4367:
Summary: Process the distinct value before shuffling for
aggregation
Key: SPARK-4367
URL: https://issues.apache.org/jira/browse/SPARK-4367
Project: Spark
Issue
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https://issues.apache.org/jira/browse/SPARK-4233?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-4233:
-
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-4366
Simplify the Aggregation Function
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Cheng Hao updated SPARK-4367:
-
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-4366
Process the distinct value before
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https://issues.apache.org/jira/browse/SPARK-3056?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-3056:
-
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-4366
Sort-based Aggregation
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Cheng Hao updated SPARK-4274:
-
Summary: NEP in printing the details of query plan (was: Hive comparison
test framework doesn't print
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Cheng Hao updated SPARK-4274:
-
Description: NEP in printing the details of query plan, if the query is not
valid. this will great
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Cheng Hao updated SPARK-4274:
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Summary: NPE in printing the details of query plan (was: NEP in printing
the details of query plan
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Cheng Hao updated SPARK-4274:
-
Description: NPE in printing the details of query plan, if the query is not
valid. This will be great
Cheng Hao created SPARK-4272:
Summary: Add more unwrap functions for primitive type in
TableReader
Key: SPARK-4272
URL: https://issues.apache.org/jira/browse/SPARK-4272
Project: Spark
Issue
Cheng Hao created SPARK-4274:
Summary: Hive comparison test framework doesn't print effective
information while logical plan analyzing failed
Key: SPARK-4274
URL: https://issues.apache.org/jira/browse/SPARK-4274
Cheng Hao created SPARK-4244:
Summary: ConstantFolding has to be done before initialize the
Generic UDF
Key: SPARK-4244
URL: https://issues.apache.org/jira/browse/SPARK-4244
Project: Spark
Cheng Hao created SPARK-4250:
Summary: Create constant null value for Hive Inspectors
Key: SPARK-4250
URL: https://issues.apache.org/jira/browse/SPARK-4250
Project: Spark
Issue Type: Bug
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https://issues.apache.org/jira/browse/SPARK-4234?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14199457#comment-14199457
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Cheng Hao commented on SPARK-4234:
--
Yes, it looks like that, but we probably need
Cheng Hao created SPARK-4263:
Summary: PERCENTILE is not working
Key: SPARK-4263
URL: https://issues.apache.org/jira/browse/SPARK-4263
Project: Spark
Issue Type: Bug
Components: SQL
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https://issues.apache.org/jira/browse/SPARK-4263?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14199747#comment-14199747
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Cheng Hao commented on SPARK-4263:
--
Oh, yes, my bad. Please update it.
PERCENTILE
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Cheng Hao commented on SPARK-4263:
--
[~gvramana] yes, you PR should fix this, I will mark
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Cheng Hao resolved SPARK-4263.
--
Resolution: Duplicate
PERCENTILE is not working
-
Key
+1, that definitely will speeds up the PR reviewing / merging.
-Original Message-
From: Cheng Lian [mailto:lian.cs@gmail.com]
Sent: Thursday, November 6, 2014 12:46 PM
To: dev
Subject: Re: [VOTE] Designating maintainers for some Spark components
+1 since this is already the de facto
Hi, all, I noticed that when compiling the SparkSQL with profile hive-0.13.1,
it will fetch the Hive version of 0.13.1a under groupId
org.spark-project.hive, what's the difference with the one of
org.apache.hive? And where can I get the source code for re-compiling?
Thanks,
Cheng Hao
Which version are you using? I can reproduce that in the latest code, but with
different exception.
I've filed an bug https://issues.apache.org/jira/browse/SPARK-4263, can you
also add some information there?
Thanks,
Cheng Hao
-Original Message-
From: Kevin Paul [mailto:kevinpaulap
Cheng Hao created SPARK-4233:
Summary: Simplify the Aggregation Function implementation
Key: SPARK-4233
URL: https://issues.apache.org/jira/browse/SPARK-4233
Project: Spark
Issue Type
Cheng Hao created SPARK-4234:
Summary: Always do paritial aggregation
Key: SPARK-4234
URL: https://issues.apache.org/jira/browse/SPARK-4234
Project: Spark
Issue Type: Improvement
Cheng Hao created SPARK-4235:
Summary: Add union data type support
Key: SPARK-4235
URL: https://issues.apache.org/jira/browse/SPARK-4235
Project: Spark
Issue Type: Improvement
Cheng Hao created SPARK-4152:
Summary: Avoid data change in CTAS while table already existed
Key: SPARK-4152
URL: https://issues.apache.org/jira/browse/SPARK-4152
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-4143:
Summary: Move inner class DeferredObjectAdapter to top level
Key: SPARK-4143
URL: https://issues.apache.org/jira/browse/SPARK-4143
Project: Spark
Issue Type
Hive-thriftserver module is not included while specifying the profile
hive-0.13.1.
-Original Message-
From: Jianshi Huang [mailto:jianshi.hu...@gmail.com]
Sent: Monday, October 27, 2014 4:48 PM
To: dev@spark.apache.org
Subject: Build with Hive 0.13.1 doesn't have datanucleus and
.
Sorry if I missed some discussion of Hive upgrading.
Cheng Hao
Cheng Hao created SPARK-4093:
Summary: Simplify the unwrap/wrap between HiveUDFs
Key: SPARK-4093
URL: https://issues.apache.org/jira/browse/SPARK-4093
Project: Spark
Issue Type: Improvement
Can you paste the hive-site.xml? Most of times I meet this exception, because
the JDBC driver for hive metastore are not correct set or wrong driver classes
are included in the assembly jar.
As default, the assembly jar contains the derby.jar, which is the embedded
derby JDBC driver.
From:
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https://issues.apache.org/jira/browse/SPARK-2663?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-2663:
-
Attachment: grouping_set.pdf
General Design for the implementation of GroupingSet, Cube, Rollup
You needn't do anything, the implicit conversion should do this for you.
https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala#L103
not sure about how kd tree used in mllib. but keep in mind
SchemaRDD is just a normal RDD.
Cheng Hao
From: sanath kumar [mailto:sanath1...@gmail.com]
Sent: Wednesday, October 22, 2014 12:58 PM
To: user@spark.apache.org
Subject: spark sql query optimization , and decision tree building
Hi all
Seems bugs in the JavaSQLContext.getSchema(), which doesn't enumerate all of
the data types supported by Catalyst.
From: Ge, Yao (Y.) [mailto:y...@ford.com]
Sent: Sunday, October 19, 2014 11:44 PM
To: Wang, Daoyuan; user@spark.apache.org
Subject: RE: scala.MatchError: class java.sql.Timestamp
(1::2::Nil).map(i= T(i.toString, new
java.sql.Timestamp(i)))
data.registerTempTable(x)
val s = sqlContext.sql(select a from x where ts='1970-01-01 00:00:00';)
s.collect
output:
res1: Array[org.apache.spark.sql.Row] = Array([1], [2])
Cheng Hao
From: Mohammed Guller [mailto:moham
Cheng Hao created SPARK-3904:
Summary: HQL doesn't support the ConstantObjectInspector to pass
into UDFs
Key: SPARK-3904
URL: https://issues.apache.org/jira/browse/SPARK-3904
Project: Spark
Cheng Hao created SPARK-3911:
Summary: HiveSimpleUdf can not be optimized in constant folding
Key: SPARK-3911
URL: https://issues.apache.org/jira/browse/SPARK-3911
Project: Spark
Issue Type
Cheng Hao created SPARK-3739:
Summary: Too many splits for small source file in table scanning
Key: SPARK-3739
URL: https://issues.apache.org/jira/browse/SPARK-3739
Project: Spark
Issue Type
Cheng Hao created SPARK-3707:
Summary: Type Coercion for DIV doesn't work for non-numeric
argument
Key: SPARK-3707
URL: https://issues.apache.org/jira/browse/SPARK-3707
Project: Spark
Issue
the null value
when retrieving HiveConf.
Cheng Hao
From: Du Li [mailto:l...@yahoo-inc.com.INVALID]
Sent: Thursday, September 18, 2014 7:51 AM
To: user@spark.apache.org; d...@spark.apache.org
Subject: problem with HiveContext inside Actor
Hi,
Wonder anybody had similar experience or any suggestion here
Thank you for pasting the steps, I will look at this, hopefully come out with a
solution soon.
-Original Message-
From: linkpatrickliu [mailto:linkpatrick...@live.com]
Sent: Tuesday, September 16, 2014 3:17 PM
To: u...@spark.incubator.apache.org
Subject: RE: SparkSQL 1.1 hang when DROP
is working on upgrading the Hive to 0.13 for SparkSQL
(https://github.com/apache/spark/pull/2241), not sure if you can wait for this.
☺
From: Yin Huai [mailto:huaiyin@gmail.com]
Sent: Wednesday, September 17, 2014 1:50 AM
To: Cheng, Hao
Cc: linkpatrickliu; u...@spark.incubator.apache.org
Subject
Cheng Hao created SPARK-3527:
Summary: Strip the physical plan message margin
Key: SPARK-3527
URL: https://issues.apache.org/jira/browse/SPARK-3527
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-3529:
Summary: Delete the temporal files after test exit
Key: SPARK-3529
URL: https://issues.apache.org/jira/browse/SPARK-3529
Project: Spark
Issue Type: Improvement
What's your Spark / Hadoop version? And also the hive-site.xml? Most of case
like that caused by incompatible Hadoop client jar and the Hadoop cluster.
-Original Message-
From: linkpatrickliu [mailto:linkpatrick...@live.com]
Sent: Monday, September 15, 2014 2:35 PM
To:
The Hadoop client jar should be assembled into the uber-jar, but (I suspect)
it's probably not compatible with your Hadoop Cluster.
Can you also paste the Spark uber-jar name? Usually will be under the path
lib/spark-assembly-1.1.0-xxx-hadoopxxx.jar.
-Original Message-
From:
Sorry, I am not able to reproduce that.
Can you try add the following entry into the hive-site.xml? I know they have
the default value, but let's make it explicitly.
hive.server2.thrift.port
hive.server2.thrift.bind.host
hive.server2.authentication (NONE、KERBEROS、LDAP、PAM or CUSTOM)
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https://issues.apache.org/jira/browse/SPARK-3393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-3393:
-
Summary: Align the log4j configuration for Spark SparkSQLCLI (was: Add
configuration templates for HQL
Cheng Hao created SPARK-3501:
Summary: Hive SimpleUDF will create duplicated type cast which
cause exception in constant folding
Key: SPARK-3501
URL: https://issues.apache.org/jira/browse/SPARK-3501
I copied the 3 datanucleus jars (datanucleus-api-jdo-3.2.1.jar,
datanucleus-core-3.2.2.jar, datanucleus-rdbms-3.2.1.jar) to the fold lib/
manually, and it works for me.
From: Denny Lee [mailto:denny.g@gmail.com]
Sent: Friday, September 12, 2014 11:28 AM
To: alexandria1101
Cc:
Cheng Hao created SPARK-3455:
Summary: **HotFix** Unit test failed due to can not resolve the
attribute references
Key: SPARK-3455
URL: https://issues.apache.org/jira/browse/SPARK-3455
Project: Spark
Cheng Hao created SPARK-3412:
Summary: Add Missing Types for Row API
Key: SPARK-3412
URL: https://issues.apache.org/jira/browse/SPARK-3412
Project: Spark
Issue Type: Bug
Components
Cheng Hao created SPARK-3407:
Summary: Add Date type support
Key: SPARK-3407
URL: https://issues.apache.org/jira/browse/SPARK-3407
Project: Spark
Issue Type: Improvement
Components
Hive can launch another job with strategy to merged the small files, probably
we can also do that in the future release.
From: Michael Armbrust [mailto:mich...@databricks.com]
Sent: Friday, September 05, 2014 8:59 AM
To: DanteSama
Cc: u...@spark.incubator.apache.org
Subject: Re: SchemaRDD -
Cheng Hao created SPARK-3392:
Summary: Set command always get undefined for key
mapred.reduce.tasks
Key: SPARK-3392
URL: https://issues.apache.org/jira/browse/SPARK-3392
Project: Spark
Issue
Cheng Hao created SPARK-3393:
Summary: Add configuration template for HQL user
Key: SPARK-3393
URL: https://issues.apache.org/jira/browse/SPARK-3393
Project: Spark
Issue Type: Improvement
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Cheng Hao updated SPARK-3393:
-
Summary: Add configuration templates for HQL user (was: Add configuration
template for HQL user)
Add
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Cheng Hao commented on SPARK-3343:
--
Actually I was planning to do in after
https
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Cheng Hao commented on SPARK-3343:
--
And probably also depends on https://github.com
Currently SparkSQL doesn’t support the row format/serde in CTAS. The work
around is create the table first.
-Original Message-
From: centerqi hu [mailto:cente...@gmail.com]
Sent: Tuesday, September 02, 2014 3:35 PM
To: user@spark.apache.org
Subject: Unsupported language features in
[mailto:cente...@gmail.com]
Sent: Tuesday, September 02, 2014 3:46 PM
To: Cheng, Hao
Cc: user@spark.apache.org
Subject: Re: Unsupported language features in query
Thanks Cheng Hao
Have a way of obtaining spark support hive statement list?
Thanks
2014-09-02 15:39 GMT+08:00 Cheng, Hao hao.ch
Yes, the root cause for that is the output ObjectInspector in SerDe
implementation doesn't reflect the real typeinfo.
Hive actually provides the API like
TypeInfoUtils.getStandardJavaObjectInspectorFromTypeInfo(TypeInfo) for the
mapping.
You probably need to update the code at
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https://issues.apache.org/jira/browse/SPARK-3198?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-3198:
-
Description: Remove the id property of TreeNode API, since the id
generation is kind of performance
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https://issues.apache.org/jira/browse/SPARK-3196?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Cheng Hao updated SPARK-3196:
-
Description:
The expression id generations depend on a atomic long object internally, which
will cause
Cheng Hao created SPARK-3197:
Summary: Reduce the expression tree object creation from the
aggregation functions (min/max)
Key: SPARK-3197
URL: https://issues.apache.org/jira/browse/SPARK-3197
Project
Cheng Hao created SPARK-3196:
Summary: Expression Evaluation Performance Improvement
Key: SPARK-3196
URL: https://issues.apache.org/jira/browse/SPARK-3196
Project: Spark
Issue Type: Improvement
Cheng Hao created SPARK-3198:
Summary: Improve the expression id generation algorithm
Key: SPARK-3198
URL: https://issues.apache.org/jira/browse/SPARK-3198
Project: Spark
Issue Type: Sub-task
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Cheng Hao updated SPARK-3198:
-
Summary: Generates the expression id while necessary (was: Improve the
expression id generation
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Cheng Hao updated SPARK-3196:
-
Description:
The expression id generations depend on a atomic long object internally, which
will cause
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Cheng Hao commented on SPARK-3198:
--
Usually, we need the expression id in logical plan
[
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Cheng Hao commented on SPARK-3124:
--
Can you try bin/spark-sql after make distribution
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Cheng Hao commented on SPARK-3124:
--
Yes, actually I did in the PR.
Jar version conflict
If so, probably we need to add the SQL dialects switching support for
SparkSQLCLI, as Fei suggested. What do you think the priority for this?
-Original Message-
From: Cheng Lian [mailto:lian.cs@gmail.com]
Sent: Friday, August 15, 2014 1:57 PM
To: Cheng, Hao
Cc: scwf; dev
[
https://issues.apache.org/jira/browse/SPARK-2213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14097995#comment-14097995
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Cheng Hao commented on SPARK-2213:
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Sort Merge Join depends on the reduce side sort merge
Cheng Hao created SPARK-3056:
Summary: Sort-based Aggregation
Key: SPARK-3056
URL: https://issues.apache.org/jira/browse/SPARK-3056
Project: Spark
Issue Type: Improvement
Components
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https://issues.apache.org/jira/browse/SPARK-3056?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14097997#comment-14097997
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Cheng Hao commented on SPARK-3056:
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SPARK-2926 provides external sort in reduce side
Cheng Hao created SPARK-3058:
Summary: Support EXTENDED for EXPLAIN command
Key: SPARK-3058
URL: https://issues.apache.org/jira/browse/SPARK-3058
Project: Spark
Issue Type: Improvement
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