[
https://issues.apache.org/jira/browse/SPARK-3058?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-3058:
-
Description:
Currently, it's no difference when run the command EXPLAIN w or w/o
EXTENDED keywords
Actually the SQL Parser (another SQL dialect in SparkSQL) is quite weak, and
only support some basic queries, not sure what's the plan for its enhancement.
-Original Message-
From: scwf [mailto:wangf...@huawei.com]
Sent: Friday, August 15, 2014 11:22 AM
To: dev@spark.apache.org
Subject:
I couldn’t reproduce the exception, probably it’s solved in the latest code.
From: Vishal Vibhandik [mailto:vishal.vibhan...@gmail.com]
Sent: Thursday, August 14, 2014 11:17 AM
To: user@spark.apache.org
Subject: Spark SQL Stackoverflow error
Hi,
I tried running the sample sql code JavaSparkSQL
Cheng Hao created SPARK-2917:
Summary: Avoid CTAS creates table in logical plan analyzing.
Key: SPARK-2917
URL: https://issues.apache.org/jira/browse/SPARK-2917
Project: Spark
Issue Type: Bug
Cheng Hao created SPARK-2918:
Summary: EXPLAIN doens't support the native command
Key: SPARK-2918
URL: https://issues.apache.org/jira/browse/SPARK-2918
Project: Spark
Issue Type: Improvement
[
https://issues.apache.org/jira/browse/SPARK-2918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14090226#comment-14090226
]
Cheng Hao edited comment on SPARK-2918 at 8/8/14 2:44 AM
[
https://issues.apache.org/jira/browse/SPARK-2918?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14090226#comment-14090226
]
Cheng Hao commented on SPARK-2918:
--
Usually shouldn't be a problem in a normal SQL query
Cheng Hao created SPARK-2826:
Summary: Reduce the Memory Copy for HashOuterJoin
Key: SPARK-2826
URL: https://issues.apache.org/jira/browse/SPARK-2826
Project: Spark
Issue Type: Improvement
From the log, I noticed the substr was added on July 15th, 1.0.1 release
should be earlier than that. Community is now working on releasing the 1.1.0,
and also some of the performance improvements were added. Probably you can try
that for your benchmark.
Cheng Hao
-Original Message
Cheng Hao created SPARK-2767:
Summary: SparkSQL CLI doens't output error message if query failed.
Key: SPARK-2767
URL: https://issues.apache.org/jira/browse/SPARK-2767
Project: Spark
Issue Type
In your code snippet, sample is actually a SchemaRDD, and SchemaRDD actually
binds a certain SQLContext in runtime, I don't think we can manipulate/share
the SchemaRDD across SQLContext Instances.
-Original Message-
From: Kevin Jung [mailto:itsjb.j...@samsung.com]
Sent: Tuesday, July
Cheng Hao created SPARK-2665:
Summary: Add EqualNS support for HiveQL
Key: SPARK-2665
URL: https://issues.apache.org/jira/browse/SPARK-2665
Project: Spark
Issue Type: New Feature
Cheng Hao created SPARK-2663:
Summary: Support the GroupingSet/ROLLUP/CUBE
Key: SPARK-2663
URL: https://issues.apache.org/jira/browse/SPARK-2663
Project: Spark
Issue Type: New Feature
[
https://issues.apache.org/jira/browse/SPARK-2663?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2663:
-
Comment: was deleted
(was: https://github.com/apache/spark/pull/1567)
Support the GroupingSet/ROLLUP
[
https://issues.apache.org/jira/browse/SPARK-2663?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14072841#comment-14072841
]
Cheng Hao commented on SPARK-2663:
--
https://github.com/apache/spark/pull/1567
Support
Cheng Hao created SPARK-2615:
Summary: Add == support for HiveQl
Key: SPARK-2615
URL: https://issues.apache.org/jira/browse/SPARK-2615
Project: Spark
Issue Type: Bug
Components: SQL
[
https://issues.apache.org/jira/browse/SPARK-2615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14069948#comment-14069948
]
Cheng Hao commented on SPARK-2615:
--
https://github.com/apache/spark/pull/1522
Add
[
https://issues.apache.org/jira/browse/SPARK-2615?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2615:
-
Comment: was deleted
(was: https://github.com/apache/spark/pull/1522)
Add == support for HiveQl
[
https://issues.apache.org/jira/browse/SPARK-2615?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14071214#comment-14071214
]
Cheng Hao commented on SPARK-2615:
--
Yes, that's true.
But == is actually used in lots
This is a very interesting problem. SparkSQL supports the Non Equi Join, but it
is in very low efficiency with large tables.
One possible solution is make both table partition based and the partition keys
are (cast(ds as bigint) / 240), and with each partition in dataset1, you
probably can
Actually it's just a pseudo algorithm I described, you can do it with spark
API. Hope the algorithm helpful.
-Original Message-
From: durga [mailto:durgak...@gmail.com]
Sent: Tuesday, July 22, 2014 11:56 AM
To: u...@spark.incubator.apache.org
Subject: RE: Joining by timestamp.
Hi Chen,
Durga, you can start from the documents
http://spark.apache.org/docs/latest/quick-start.html
http://spark.apache.org/docs/latest/programming-guide.html
-Original Message-
From: durga [mailto:durgak...@gmail.com]
Sent: Tuesday, July 22, 2014 12:45 PM
To:
Subject: RE: Hive From Spark
Hi Cheng Hao,
Thank you very much for your reply.
Basically, the program runs on Spark 1.0.0 and Hive 0.12.0 .
Some setups of the environment are done by running SPARK_HIVE=true sbt/sbt
assembly/assembly, including the jar in all the workers, and copying the
hive
Cheng Hao created SPARK-2570:
Summary: ClassCastException from HiveFromSpark(examples)
Key: SPARK-2570
URL: https://issues.apache.org/jira/browse/SPARK-2570
Project: Spark
Issue Type: Bug
[
https://issues.apache.org/jira/browse/SPARK-2570?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14065905#comment-14065905
]
Cheng Hao commented on SPARK-2570:
--
https://github.com/apache/spark/pull/1475
Cheng Hao created SPARK-2523:
Summary: Potential Bugs if SerDe is not the identical among
partitions and table
Key: SPARK-2523
URL: https://issues.apache.org/jira/browse/SPARK-2523
Project: Spark
[
https://issues.apache.org/jira/browse/SPARK-2523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14063288#comment-14063288
]
Cheng Hao commented on SPARK-2523:
--
This is the follow up for
https://github.com/apache
[
https://issues.apache.org/jira/browse/SPARK-2523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14063288#comment-14063288
]
Cheng Hao edited comment on SPARK-2523 at 7/16/14 8:42 AM
[
https://issues.apache.org/jira/browse/SPARK-2523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14063289#comment-14063289
]
Cheng Hao commented on SPARK-2523:
--
[~yhuai] Can you review the code for me?
Potential
Cheng Hao created SPARK-2540:
Summary: Add More Types Support for unwarpData of HiveUDF
Key: SPARK-2540
URL: https://issues.apache.org/jira/browse/SPARK-2540
Project: Spark
Issue Type
[
https://issues.apache.org/jira/browse/SPARK-2523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064570#comment-14064570
]
Cheng Hao commented on SPARK-2523:
--
sbt/sbt hive/console
{code:title=prepare.scala
[
https://issues.apache.org/jira/browse/SPARK-2523?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14064576#comment-14064576
]
Cheng Hao commented on SPARK-2523:
--
I think the root cause is the when ALTER table
[
https://issues.apache.org/jira/browse/SPARK-2213?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14044279#comment-14044279
]
Cheng Hao commented on SPARK-2213:
--
This probably depends on
[SPARK-2045|https
[
https://issues.apache.org/jira/browse/SPARK-2216?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14038510#comment-14038510
]
Cheng Hao commented on SPARK-2216:
--
Yes, this can be a big change, i think we need to add
[
https://issues.apache.org/jira/browse/SPARK-2215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2215:
-
Description: Support the multi-way join (multiple table joins) in a single
reduce stage if they have
[
https://issues.apache.org/jira/browse/SPARK-2215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2215:
-
Description: Support the multi-way join (multiple table joins) in a single
reduce stage if they have
Cheng Hao created SPARK-2212:
Summary: HashJoin
Key: SPARK-2212
URL: https://issues.apache.org/jira/browse/SPARK-2212
Project: Spark
Issue Type: Sub-task
Reporter: Cheng Hao
Cheng Hao created SPARK-2211:
Summary: Join Optimization
Key: SPARK-2211
URL: https://issues.apache.org/jira/browse/SPARK-2211
Project: Spark
Issue Type: Improvement
Components: SQL
Cheng Hao created SPARK-2213:
Summary: Sort Merge Join
Key: SPARK-2213
URL: https://issues.apache.org/jira/browse/SPARK-2213
Project: Spark
Issue Type: Sub-task
Reporter: Cheng Hao
Cheng Hao created SPARK-2215:
Summary: Multi-way join
Key: SPARK-2215
URL: https://issues.apache.org/jira/browse/SPARK-2215
Project: Spark
Issue Type: Sub-task
Components: SQL
[
https://issues.apache.org/jira/browse/SPARK-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14028699#comment-14028699
]
Cheng Hao commented on SPARK-2106:
--
Oh, I see your point.
Actually I was suggesting is we
[
https://issues.apache.org/jira/browse/SPARK-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14028705#comment-14028705
]
Cheng Hao commented on SPARK-2106:
--
BTW, call hql(...).collect() is a good way
))
sparkContext.makeRDD(rows).registerAsTable(foo)
sql(select k,count(*) from foo group by k).collect
res1: Array[org.apache.spark.sql.Row] = Array([b,200], [a,100], [c,300])
Cheng Hao
From: Pei-Lun Lee [mailto:pl...@appier.com]
Sent: Wednesday, June 11, 2014 6:01 PM
To: user@spark.apache.org
Subject
Cheng Hao created SPARK-2106:
Summary: Unify the HiveContext
Key: SPARK-2106
URL: https://issues.apache.org/jira/browse/SPARK-2106
Project: Spark
Issue Type: Improvement
Components
[
https://issues.apache.org/jira/browse/SPARK-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2106:
-
Description:
I've been working on CLI for Catalyst, and from the CLI point of view,
HiveContext may
[
https://issues.apache.org/jira/browse/SPARK-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2106:
-
Description:
I've been working on CLI for Catalyst, and from the CLI point of view,
HiveContext may
[
https://issues.apache.org/jira/browse/SPARK-2106?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14027360#comment-14027360
]
Cheng Hao commented on SPARK-2106:
--
[~marmbrus], let me know if you have some input
And if you want to use the SQL CLI (based on catalyst) as it works in Shark,
you can also check out https://github.com/amplab/shark/pull/337 :)
This preview version doesn’t require the Hive to be setup in the cluster.
(Don’t forget to put the hive-site.xml under SHARK_HOME/conf also)
Cheng Hao
Cheng Hao created SPARK-2076:
Summary: Push Down the Predicate Join Filter for OutJoin
Key: SPARK-2076
URL: https://issues.apache.org/jira/browse/SPARK-2076
Project: Spark
Issue Type
[
https://issues.apache.org/jira/browse/SPARK-2076?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-2076:
-
Summary: Push Down the Predicate Join Filter for OuterJoin (was: Push
Down the Predicate Join Filter
[
https://issues.apache.org/jira/browse/SPARK-2076?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=14021630#comment-14021630
]
Cheng Hao commented on SPARK-2076:
--
PR can be found at https://github.com/apache/spark
[
https://issues.apache.org/jira/browse/SPARK-1461?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13973830#comment-13973830
]
Cheng Hao commented on SPARK-1461:
--
The PR https://github.com/apache/spark/pull/446
[
https://issues.apache.org/jira/browse/SPARK-1360?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated SPARK-1360:
-
Description: Add Timestamp Support for Catalyst/SQLParser/HiveQl (was: Add
Timestamp Support for both
[
https://issues.apache.org/jira/browse/HIVE-4864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-4864:
Affects Version/s: 0.9.0
Status: Patch Available (was: Open)
Code Comments seems
[
https://issues.apache.org/jira/browse/HIVE-4864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-4864:
Attachment: 1.patch
Please check the attachment.
Code Comments seems confused between
[
https://issues.apache.org/jira/browse/HIVE-4864?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-4864:
Attachment: 2.patch
Code Comments seems confused between GenericUDFCase GenericUDFWhen
[
https://issues.apache.org/jira/browse/HIVE-4864?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13717873#comment-13717873
]
Cheng Hao commented on HIVE-4864:
-
Thanks [~ashutoshc], please check the [^2.patch
Cheng Hao created HIVE-4864:
---
Summary: Code Comments seems confused between GenericUDFCase
GenericUDFWhen
Key: HIVE-4864
URL: https://issues.apache.org/jira/browse/HIVE-4864
Project: Hive
Issue
Cheng Hao created HIVE-4855:
---
Summary: Failed in equality check of PrimitiveTypeInfo after ser/de
Key: HIVE-4855
URL: https://issues.apache.org/jira/browse/HIVE-4855
Project: Hive
Issue Type: Bug
Cheng Hao created HIVE-4777:
---
Summary: Null value Versus RuntimeException in failed data type
converting
Key: HIVE-4777
URL: https://issues.apache.org/jira/browse/HIVE-4777
Project: Hive
Issue
Cheng Hao created HIVE-4410:
---
Summary: Dummy Storage handler for the select performance
benchmarking
Key: HIVE-4410
URL: https://issues.apache.org/jira/browse/HIVE-4410
Project: Hive
Issue Type
[
https://issues.apache.org/jira/browse/HIVE-4410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-4410:
Fix Version/s: 0.9.0
Labels: storage-handler (was: )
Status: Patch Available
[
https://issues.apache.org/jira/browse/HIVE-4410?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-4410:
Attachment: dummy.patch
Dummy Storage handler for the select performance benchmarking
[
https://issues.apache.org/jira/browse/HIVE-4410?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13640144#comment-13640144
]
Cheng Hao commented on HIVE-4410:
-
for example:
CREATE TABLE dummy_uservisits (sourceIP
Cheng Hao created HIVE-3823:
---
Summary: Performance issue while retrieving the Result objects in
HiveHBaseTableInputFormat
Key: HIVE-3823
URL: https://issues.apache.org/jira/browse/HIVE-3823
Project: Hive
[
https://issues.apache.org/jira/browse/HIVE-3823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-3823:
Description:
In HiveHBaseTableInputFormat.java, the Result objects retrieving has
performance issue
[
https://issues.apache.org/jira/browse/HIVE-3823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-3823:
Description:
In HiveHBaseTableInputFormat.java, the Result objects retrieving has
performance issue
[
https://issues.apache.org/jira/browse/HIVE-3823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HIVE-3823:
Description:
In HiveHBaseTableInputFormat.java, the Result objects retrieving has
performance issue
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-7381:
-
Attachment: result_lightweight_copy_v2.patch
Thanks, Lars. I didn't notice that in trunk
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-7381:
-
Attachment: (was: result_lightweight_copy.patch)
Lightweight data transfer for Class Result
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13535676#comment-13535676
]
Cheng Hao commented on HBASE-7381:
--
oh, sorry, I will take care of that next time
Cheng Hao created HBASE-7381:
Summary: Lightweight data transfer for Class Result
Key: HBASE-7381
URL: https://issues.apache.org/jira/browse/HBASE-7381
Project: HBase
Issue Type: Improvement
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-7381:
-
Attachment: result_lightweight_copy.patch
Provide a new API in Result class
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-7381:
-
Fix Version/s: 0.94.4
Status: Patch Available (was: Open)
Lightweight data transfer
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13534679#comment-13534679
]
Cheng Hao commented on HBASE-7381:
--
@Yu
The following code is from the Hive
[
https://issues.apache.org/jira/browse/HBASE-7381?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13534688#comment-13534688
]
Cheng Hao commented on HBASE-7381:
--
Thanks @Yu
Once this patch is applied, I will create
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13490649#comment-13490649
]
Cheng Hao commented on HBASE-6852:
--
@Lars, thank you for the committing;
The snapshot
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: 6852-0.94_3.patch
Lars, Ted,
It did have a bug in the v2 patch, please take the 6852
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13489861#comment-13489861
]
Cheng Hao commented on HBASE-6852:
--
Ouch！Still failed，and I still couldn't access
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13488549#comment-13488549
]
Cheng Hao commented on HBASE-6852:
--
Still failed,
And I can not open the URL https
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13489176#comment-13489176
]
Cheng Hao commented on HBASE-6852:
--
Thanks Lars and Ted, I will try to reproduce
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: 6852-0.94_2.patch
Please take the 6852-0.94_2.patch
Found a small bug while updating
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13486068#comment-13486068
]
Cheng Hao commented on HBASE-6852:
--
oh, sorry for that, I will resolve it asap
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: (was: AtomicTest.java)
SchemaMetrics.updateOnCacheHit costs too much while full
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: metrics_hotspots.png
Sample callgraph via visualvm, seems the bottleneck
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13476695#comment-13476695
]
Cheng Hao commented on HBASE-6852:
--
Sorry, just read an article, the self time may
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: AtomicTest.java
I tested the AtomicLong, Counter, and normal function call, and the result
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13471150#comment-13471150
]
Cheng Hao commented on HBASE-6852:
--
I re-ran the scanning tests, with or without
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13471151#comment-13471151
]
Cheng Hao commented on HBASE-6852:
--
Sorry, please check the AtomicTest.java attached
[
https://issues.apache.org/jira/browse/HBASE-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6805:
-
Attachment: (was: extend_coprocessor.patch)
Extend co-processor framework to provide observers
[
https://issues.apache.org/jira/browse/HBASE-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6805:
-
Attachment: extend_coprocessor.patch
Extend co-processor framework to provide observers for filter
[
https://issues.apache.org/jira/browse/HBASE-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13467428#comment-13467428
]
Cheng Hao commented on HBASE-6805:
--
Thank you Andrew for the clarity.
I added unit test
[
https://issues.apache.org/jira/browse/HBASE-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6805:
-
Attachment: extend_coprocessor.patch
Please check the patch attached. Hope it make more sense
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13465357#comment-13465357
]
Cheng Hao commented on HBASE-6852:
--
Hi, stack, the patch does improve the performance
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13461559#comment-13461559
]
Cheng Hao commented on HBASE-6852:
--
{quote} Cheng Hao: you said that your dataset size
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13460280#comment-13460280
]
Cheng Hao commented on HBASE-6852:
--
Lars, the only place to use the ConcurentMap
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13460297#comment-13460297
]
Cheng Hao commented on HBASE-6852:
--
Hi Liang, it's really good suggestion. Actually I
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: onhitcache-trunk.patch
change the THRESHOLD_METRICS_FLUSH from 2000 to 100, per Lars
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Cheng Hao updated HBASE-6852:
-
Attachment: (was: onhitcache-trunk.patch)
SchemaMetrics.updateOnCacheHit costs too much while
[
https://issues.apache.org/jira/browse/HBASE-6852?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanelfocusedCommentId=13460316#comment-13460316
]
Cheng Hao commented on HBASE-6852:
--
I didn't remove the cacheHits in the HFileReaderV1
501 - 600 of 611 matches
Mail list logo
