Update #17
Merged
Update #17
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Author: Madhu Siddalingaiah <madhu@madhu.com> Closes apache#3390 from msiddalingaiah/master and squashes the following commits: cbccbfe [Madhu Siddalingaiah] Documentation: replace <b> with <code> (again) 332f7a2 [Madhu Siddalingaiah] Documentation: replace <b> with <code> cd2b05a [Madhu Siddalingaiah] Merge remote-tracking branch 'upstream/master' 0fc12d7 [Madhu Siddalingaiah] Documentation: add description for repartitionAndSortWithinPartitions
Documents `spark.sql.parquet.filterPushdown`, explains why it's turned off by default and when it's safe to be turned on. <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3440) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes apache#3440 from liancheng/parquet-filter-pushdown-doc and squashes the following commits: 2104311 [Cheng Lian] Documents spark.sql.parquet.filterPushdown
group tab is missing for scaladoc Author: Jacky Li <jacky.likun@gmail.com> Closes apache#3458 from jackylk/patch-7 and squashes the following commits: 0121a70 [Jacky Li] add @group tab in limit() and count()
Remove hardcoding max and min values for types. Let BigDecimal do checking type compatibility. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes apache#3208 from viirya/more_numericLit and squashes the following commits: e9834b4 [Liang-Chi Hsieh] Remove byte and short types for number literal. 1bd1825 [Liang-Chi Hsieh] Fix Indentation and make the modification clearer. cf1a997 [Liang-Chi Hsieh] Modified for comment to add a rule of analysis that adds a cast. 91fe489 [Liang-Chi Hsieh] add Byte and Short. 1bdc69d [Liang-Chi Hsieh] Let BigDecimal do checking type compatibility.
…nction like count(distinct c1,c2..) in Spark SQL Supporting multi column support in countDistinct function like count(distinct c1,c2..) in Spark SQL Author: ravipesala <ravindra.pesala@huawei.com> Author: Michael Armbrust <michael@databricks.com> Closes apache#3511 from ravipesala/countdistinct and squashes the following commits: cc4dbb1 [ravipesala] style 070e12a [ravipesala] Supporting multi column support in count(distinct c1,c2..) in Spark SQL
Author: ravipesala <ravindra.pesala@huawei.com> Closes apache#3516 from ravipesala/ddl_doc and squashes the following commits: d101fdf [ravipesala] Style issues fixed d2238cd [ravipesala] Corrected documentation
Author: wangfei <wangfei1@huawei.com> Closes apache#3533 from scwf/sql-doc1 and squashes the following commits: 962910b [wangfei] doc and comment fix
Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes apache#3535 from adrian-wang/datedoc and squashes the following commits: 18ff1ed [Daoyuan Wang] [DOC] Date type
Support view definition like
CREATE VIEW view3(valoo)
TBLPROPERTIES ("fear" = "factor")
AS SELECT upper(value) FROM src WHERE key=86;
[valoo as the alias of upper(value)]. This is missing part of SPARK-4239, for a fully view support.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes apache#3396 from adrian-wang/viewcolumn and squashes the following commits:
4d001d0 [Daoyuan Wang] support view with column alias
…llCaseVersions In addition, using `s.isEmpty` to eliminate the string comparison. Author: zsxwing <zsxwing@gmail.com> Closes apache#3132 from zsxwing/SPARK-4268 and squashes the following commits: 358e235 [zsxwing] Improvement of allCaseVersions
This commit exists to close the following pull requests on Github: Closes apache#1612 (close requested by 'marmbrus') Closes apache#2723 (close requested by 'marmbrus') Closes apache#1737 (close requested by 'marmbrus') Closes apache#2252 (close requested by 'marmbrus') Closes apache#2029 (close requested by 'marmbrus') Closes apache#2386 (close requested by 'marmbrus') Closes apache#2997 (close requested by 'marmbrus')
The vector norm in breeze is implemented by `activeIterator` which is known to be very slow. In this PR, an efficient vector norm is implemented, and with this API, `Normalizer` and `k-means` have big performance improvement. Here is the benchmark against mnist8m dataset. a) `Normalizer` Before DenseVector: 68.25secs SparseVector: 17.01secs With this PR DenseVector: 12.71secs SparseVector: 2.73secs b) `k-means` Before DenseVector: 83.46secs SparseVector: 61.60secs With this PR DenseVector: 70.04secs SparseVector: 59.05secs Author: DB Tsai <dbtsai@alpinenow.com> Closes apache#3462 from dbtsai/norm and squashes the following commits: 63c7165 [DB Tsai] typo 0c3637f [DB Tsai] add import org.apache.spark.SparkContext._ back 6fa616c [DB Tsai] address feedback 9b7cb56 [DB Tsai] move norm to static method 0b632e6 [DB Tsai] kmeans dbed124 [DB Tsai] style c1a877c [DB Tsai] first commit
This PR cleans up `import SparkContext._` in core for SPARK-4397(apache#3262) to prove it really works well. Author: zsxwing <zsxwing@gmail.com> Closes apache#3530 from zsxwing/SPARK-4397-cleanup and squashes the following commits: 04e2273 [zsxwing] Cleanup 'import SparkContext._' in core
The link points to the old scala programming guide; it should point to the submitting applications page. This should be backported to 1.1.2 (it's been broken as of 1.0). Author: Kay Ousterhout <kayousterhout@gmail.com> Closes apache#3542 from kayousterhout/SPARK-4686 and squashes the following commits: a8fc43b [Kay Ousterhout] [SPARK-4686] Link to allowed master URLs is broken
A very small nit update. Author: Reynold Xin <rxin@databricks.com> Closes apache#3552 from rxin/license-header and squashes the following commits: df8d1a4 [Reynold Xin] Indent license header properly for interfaces.scala.
Spark SQL has embeded sqrt and abs but DSL doesn't support those functions. Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes apache#3401 from sarutak/dsl-missing-operator and squashes the following commits: 07700cf [Kousuke Saruta] Modified Literal(null, NullType) to Literal(null) in DslQuerySuite 8f366f8 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 1b88e2e [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into dsl-missing-operator 0396f89 [Kousuke Saruta] Added sqrt and abs to Spark SQL DSL
Author: baishuo <vc_java@hotmail.com> Closes apache#3526 from baishuo/master-trycatch and squashes the following commits: d446e14 [baishuo] correct the code style b36bf96 [baishuo] correct the code style ae0e447 [baishuo] add finally to avoid resource leak
…if sql has null
val jsc = new org.apache.spark.api.java.JavaSparkContext(sc)
val jhc = new org.apache.spark.sql.hive.api.java.JavaHiveContext(jsc)
val nrdd = jhc.hql("select null from spark_test.for_test")
println(nrdd.schema)
Then the error is thrown as follows:
scala.MatchError: NullType (of class org.apache.spark.sql.catalyst.types.NullType$)
at org.apache.spark.sql.types.util.DataTypeConversions$.asJavaDataType(DataTypeConversions.scala:43)
Author: YanTangZhai <hakeemzhai@tencent.com>
Author: yantangzhai <tyz0303@163.com>
Author: Michael Armbrust <michael@databricks.com>
Closes apache#3538 from YanTangZhai/MatchNullType and squashes the following commits:
e052dff [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
4b4bb34 [yantangzhai] [SPARK-4676] [SQL] JavaSchemaRDD.schema may throw NullType MatchError if sql has null
896c7b7 [yantangzhai] fix NullType MatchError in JavaSchemaRDD when sql has null
6e643f8 [YanTangZhai] Merge pull request #11 from apache/master
e249846 [YanTangZhai] Merge pull request #10 from apache/master
d26d982 [YanTangZhai] Merge pull request #9 from apache/master
76d4027 [YanTangZhai] Merge pull request #8 from apache/master
03b62b0 [YanTangZhai] Merge pull request #7 from apache/master
8a00106 [YanTangZhai] Merge pull request #6 from apache/master
cbcba66 [YanTangZhai] Merge pull request #3 from apache/master
cdef539 [YanTangZhai] Merge pull request #1 from apache/master
SELECT max(1/0) FROM src would return a very large number, which is obviously not right. For hive-0.12, hive would return `Infinity` for 1/0, while for hive-0.13.1, it is `NULL` for 1/0. I think it is better to keep our behavior with newer Hive version. This PR ensures that when the divider is 0, the result of expression should be NULL, same with hive-0.13.1 Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes apache#3443 from adrian-wang/div and squashes the following commits: 2e98677 [Daoyuan Wang] fix code gen for divide 0 85c28ba [Daoyuan Wang] temp 36236a5 [Daoyuan Wang] add test cases 6f5716f [Daoyuan Wang] fix comments cee92bd [Daoyuan Wang] avoid evaluation 2 times 22ecd9a [Daoyuan Wang] fix style cf28c58 [Daoyuan Wang] divide fix 2dfe50f [Daoyuan Wang] return null when divider is 0 of Double type
We should use `~` instead of `-` for bitwise NOT. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes apache#3528 from adrian-wang/symbol and squashes the following commits: affd4ad [Daoyuan Wang] fix code gen test case 56efb79 [Daoyuan Wang] ensure bitwise NOT over byte and short persist data type f55fbae [Daoyuan Wang] wrong symbol for bitwise not
Using ```executeCollect``` to collect the result, because executeCollect is a custom implementation of collect in spark sql which better than rdd's collect Author: wangfei <wangfei1@huawei.com> Closes apache#3547 from scwf/executeCollect and squashes the following commits: a5ab68e [wangfei] Revert "adding debug info" a60d680 [wangfei] fix test failure 0db7ce8 [wangfei] adding debug info 184c594 [wangfei] using executeCollect instead collect
…the lineage The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 Iterative GraphX applications always have long lineage, while checkpoint() on EdgeRDD and VertexRDD themselves cannot shorten the lineage. In contrast, if we perform checkpoint() on their ParitionsRDD, the long lineage can be cut off. Moreover, the existing operations such as cache() in this code is performed on the PartitionsRDD, so checkpoint() should do the same way. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes apache#3549 from JerryLead/my_graphX_checkpoint and squashes the following commits: d1aa8d8 [JerryLead] Perform checkpoint() on PartitionsRDD not VertexRDD and EdgeRDD themselves ff08ed4 [JerryLead] Merge branch 'master' of https://github.com/apache/spark c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
…erflow error The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 In a nutshell, if `val partitionsRDD` in EdgeRDDImpl and VertexRDDImpl are non-transient, the serialization chain can become very long in iterative algorithms and finally lead to the StackOverflow error. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes apache#3544 from JerryLead/my_graphX and squashes the following commits: 628f33c [JerryLead] set PartitionsRDD to be transient in EdgeRDDImpl and VertexRDDImpl c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
…ation chain The related JIRA is https://issues.apache.org/jira/browse/SPARK-4672 The f closure of `PartitionsRDD(ZippedPartitionsRDD2)` contains a `$outer` that references EdgeRDD/VertexRDD, which causes task's serialization chain become very long in iterative GraphX applications. As a result, StackOverflow error will occur. If we set "f = null" in `clearDependencies()`, checkpoint() can cut off the long serialization chain. More details and explanation can be found in the JIRA. Author: JerryLead <JerryLead@163.com> Author: Lijie Xu <csxulijie@gmail.com> Closes apache#3545 from JerryLead/my_core and squashes the following commits: f7faea5 [JerryLead] checkpoint() should clear the f to avoid StackOverflow error c0169da [JerryLead] Merge branch 'master' of https://github.com/apache/spark 52799e3 [Lijie Xu] Merge pull request #1 from apache/master
As apache#3262 wasn't merged to branch 1.2, the `since` value of `deprecated` should be '1.3.0'. Author: zsxwing <zsxwing@gmail.com> Closes apache#3573 from zsxwing/SPARK-4397-version and squashes the following commits: 1daa03c [zsxwing] Change the 'since' value to '1.3.0'
Renamed StreamingKMeans to StreamingKMeansExample to avoid warning about name conflict with StreamingKMeans class. Added import to DecisionTreeRunner to eliminate warning. CC: mengxr Author: Joseph K. Bradley <joseph@databricks.com> Closes apache#3568 from jkbradley/ml-compilation-warnings and squashes the following commits: 64d6bc4 [Joseph K. Bradley] Updated DecisionTreeRunner.scala and StreamingKMeans.scala to eliminate compilation warnings, including renaming StreamingKMeans to StreamingKMeansExample.
…e/sparse sample Note that the usage of `breezeSquaredDistance` in `org.apache.spark.mllib.util.MLUtils.fastSquaredDistance` is in the critical path, and `breezeSquaredDistance` is slow. We should replace it with our own implementation. Here is the benchmark against mnist8m dataset. Before DenseVector: 70.04secs SparseVector: 59.05secs With this PR DenseVector: 30.58secs SparseVector: 21.14secs Author: DB Tsai <dbtsai@alpinenow.com> Closes apache#3565 from dbtsai/kmean and squashes the following commits: 08bc068 [DB Tsai] restyle de24662 [DB Tsai] address feedback b185a77 [DB Tsai] cleanup 4554ddd [DB Tsai] first commit
…ple times in loop Have a local reference to `values` and `indices` array in the `Vector` object so JVM can locate the value with one operation call. See `SPARK-4581` for similar optimization, and the bytecode analysis. Author: DB Tsai <dbtsai@alpinenow.com> Closes apache#3577 from dbtsai/blasopt and squashes the following commits: 62d38c4 [DB Tsai] formating 0316cef [DB Tsai] first commit
…oop 1.+ and Hadoop 2.+ `NullWritable` is a `Comparable` rather than `Comparable[NullWritable]` in Hadoop 1.+, so the compiler cannot find an implicit Ordering for it. It will generate different anonymous classes for `saveAsTextFile` in Hadoop 1.+ and Hadoop 2.+. Therefore, here we provide an Ordering for NullWritable so that the compiler will generate same codes. I used the following commands to confirm the generated byte codes are some. ``` mvn -Dhadoop.version=1.2.1 -DskipTests clean package -pl core -am javap -private -c -classpath core/target/scala-2.10/classes org.apache.spark.rdd.RDD > ~/hadoop1.txt mvn -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package -pl core -am javap -private -c -classpath core/target/scala-2.10/classes org.apache.spark.rdd.RDD > ~/hadoop2.txt diff ~/hadoop1.txt ~/hadoop2.txt ``` However, the compiler will generate different codes for the classes which call methods of `JobContext/TaskAttemptContext`. `JobContext/TaskAttemptContext` is a class in Hadoop 1.+, and calling its method will use `invokevirtual`, while it's an interface in Hadoop 2.+, and will use `invokeinterface`. To fix it, we can use reflection to call `JobContext/TaskAttemptContext.getConfiguration`. Author: zsxwing <zsxwing@gmail.com> Closes apache#3740 from zsxwing/SPARK-2075 and squashes the following commits: 39d9df2 [zsxwing] Fix the code style e4ad8b5 [zsxwing] Use null for the implicit Ordering 734bac9 [zsxwing] Explicitly set the implicit parameters ca03559 [zsxwing] Use reflection to access JobContext/TaskAttemptContext.getConfiguration fa40db0 [zsxwing] Add an Ordering for NullWritable to make the compiler generate same byte codes for RDD
Reuse Text in saveAsTextFile to reduce GC. /cc rxin Author: zsxwing <zsxwing@gmail.com> Closes apache#3762 from zsxwing/SPARK-4918 and squashes the following commits: 59f03eb [zsxwing] Reuse Text in saveAsTextFile
… service. Author: Tsuyoshi Ozawa <ozawa.tsuyoshi@lab.ntt.co.jp> Closes apache#3757 from oza/SPARK-4915 and squashes the following commits: 3b0d6d6 [Tsuyoshi Ozawa] Fix classname to be specified for external shuffle service.
Author: Zhang, Liye <liye.zhang@intel.com> Closes apache#3717 from liyezhang556520/version2Log and squashes the following commits: ccd30d7 [Zhang, Liye] delete log in sparkConf 330f70c [Zhang, Liye] move the log from SaprkConf to SparkContext 96dc115 [Zhang, Liye] remove curly brace e833330 [Zhang, Liye] add spark version to driver log
Author: zsxwing <zsxwing@gmail.com> Closes apache#3734 from zsxwing/SPARK-4883 and squashes the following commits: e6f2b61 [zsxwing] Fix the name cc74727 [zsxwing] Add a name to the directoryCleaner thread
Using
val arr1 = (0 until num).toArray
instead of
val arr1 = new Array[Int](num)
for (i <- 0 until arr1.length) {
arr1(i) = i
}
for short.
Author: carlmartin <carlmartinmax@gmail.com>
Closes apache#3750 from SaintBacchus/BroadcastTest and squashes the following commits:
43adb70 [carlmartin] Improve some code in BroadcastTest for short
Add missing Javadoc comments in ShuffleDependency. Author: Takeshi Yamamuro <linguin.m.s@gmail.com> Closes apache#3594 from maropu/DependencyJavadocFix and squashes the following commits: 32129b4 [Takeshi Yamamuro] Fix comments in @Aggregator and @mapSideCombine 303c75d [Takeshi Yamamuro] [SPARK-4733] Add missing prameter comments in ShuffleDependency
…d after dropping yarn-alpha Author: Sandy Ryza <sandy@cloudera.com> Closes apache#3652 from sryza/sandy-spark-4447 and squashes the following commits: 2791158 [Sandy Ryza] Review feedback c23507b [Sandy Ryza] Strip margin from client arguments help string 18be7ba [Sandy Ryza] SPARK-4447
…available This commit consolidates some of the exceptions thrown if compression codecs are not available. If a bad configuration string was passed in, a ClassNotFoundException was through. Also, if Snappy was not available, it would throw an InvocationTargetException when the codec was being used (not when it was being initialized). Now, an IllegalArgumentException is thrown when a codec is not available at creation time - either because the class does not exist or the codec itself is not available in the system. This will allow us to have a better message and fail faster. Author: Kostas Sakellis <kostas@cloudera.com> Closes apache#3119 from ksakellis/kostas-spark-4079 and squashes the following commits: 9709c7c [Kostas Sakellis] Removed unnecessary Logging class 63bfdd0 [Kostas Sakellis] Removed isAvailable to preserve binary compatibility 1d0ef2f [Kostas Sakellis] [SPARK-4079] [CORE] Added more information to exception 64f3d27 [Kostas Sakellis] [SPARK-4079] [CORE] Code review feedback 52dfa8f [Kostas Sakellis] [SPARK-4079] [CORE] Default to LZF if Snappy not available
Author: Aaron Davidson <aaron@databricks.com> Closes apache#3713 from aarondav/netty-configs and squashes the following commits: 8a8b373 [Aaron Davidson] Address Patrick's comments 3b1f84e [Aaron Davidson] [SPARK-4864] Add documentation to Netty-based configs
Minor fix for an obvious scala doc error. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes apache#3751 from viirya/fix_scaladoc and squashes the following commits: 03fddaa [Liang-Chi Hsieh] Fix scala doc.
It is not convenient to see the Spark version. We can keep the same style with Spark website.  Author: genmao.ygm <genmao.ygm@alibaba-inc.com> Closes apache#3763 from uncleGen/master-clean-141222 and squashes the following commits: 0dcb9a9 [genmao.ygm] [SPARK-4920][UI]:current spark version in UI is not striking.
In Scala, `map` and `flatMap` of `Iterable` will copy the contents of `Iterable` to a new `Seq`. Such as,
```Scala
val iterable = Seq(1, 2, 3).map(v => {
println(v)
v
})
println("Iterable map done")
val iterator = Seq(1, 2, 3).iterator.map(v => {
println(v)
v
})
println("Iterator map done")
```
outputed
```
1
2
3
Iterable map done
Iterator map done
```
So we should use 'iterator' to reduce memory consumed by join.
Found by Johannes Simon in http://mail-archives.apache.org/mod_mbox/spark-user/201412.mbox/%3C5BE70814-9D03-4F61-AE2C-0D63F2DE4446%40mail.de%3E
Author: zsxwing <zsxwing@gmail.com>
Closes apache#3671 from zsxwing/SPARK-4824 and squashes the following commits:
48ee7b9 [zsxwing] Remove the explicit types
95d59d6 [zsxwing] Add 'iterator' to reduce memory consumed by join
…dient compared with R In most of the academic paper and algorithm implementations, people use L = 1/2n ||A weights-y||^2 instead of L = 1/n ||A weights-y||^2 for least-squared loss. See Eq. (1) in http://web.stanford.edu/~hastie/Papers/glmnet.pdf Since MLlib uses different convention, this will result different residuals and all the stats properties will be different from GLMNET package in R. The model coefficients will be still the same under this change. Author: DB Tsai <dbtsai@alpinenow.com> Closes apache#3746 from dbtsai/lir and squashes the following commits: 19c2e85 [DB Tsai] make stepsize twice to converge to the same solution 0b2c29c [DB Tsai] first commit
Author: Nicholas Chammas <nicholas.chammas@gmail.com> Closes apache#3772 from nchammas/patch-1 and squashes the following commits: b7d9083 [Nicholas Chammas] [Docs] Minor typo fixes
PR apache#3737 changed `spark-ec2` to automatically download boto from PyPI. This PR tell git to ignore those downloaded library files. Author: Nicholas Chammas <nicholas.chammas@gmail.com> Closes apache#3770 from nchammas/ignore-ec2-lib and squashes the following commits: 5c440d3 [Nicholas Chammas] gitignore downloaded EC2 libs
Currently, the format about log4j in running-on-yarn.md is a bit messy.  Author: zsxwing <zsxwing@gmail.com> Closes apache#3774 from zsxwing/SPARK-4931 and squashes the following commits: 4a5f853 [zsxwing] Fix the format of running-on-yarn.md
Commit 7aacb7b added support for sharing downloaded files among multiple executors of the same app. That works great in Yarn, since the app's directory is cleaned up after the app is done. But Spark standalone mode didn't do that, so the lock/cache files created by that change were left around and could eventually fill up the disk hosting /tmp. To solve that, create app-specific directories under the local dirs when launching executors. Multiple executors launched by the same Worker will use the same app directories, so they should be able to share the downloaded files. When the application finishes, a new message is sent to all workers telling them the application has finished; once that message has been received, and all executors registered for the application shut down, then those directories will be cleaned up by the Worker. Note: Unit testing this is hard (if even possible), since local-cluster mode doesn't seem to leave the Master/Worker daemons running long enough after `sc.stop()` is called for the clean up protocol to take effect. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes apache#3705 from vanzin/SPARK-4834 and squashes the following commits: b430534 [Marcelo Vanzin] Remove seemingly unnecessary synchronization. 50eb4b9 [Marcelo Vanzin] Review feedback. c0e5ea5 [Marcelo Vanzin] [SPARK-4834] [standalone] Clean up application files after app finishes.
Trivial modifications for usability. Author: Takeshi Yamamuro <linguin.m.s@gmail.com> Closes apache#3775 from maropu/AddHelpCommentInAnalytics and squashes the following commits: fbea8f5 [Takeshi Yamamuro] Add help comments in Analytics
This PR tries to fix the Hive tests failure encountered in PR apache#3157 by cleaning `lib_managed` before building assembly jar against Hive 0.13.1 in `dev/run-tests`. Otherwise two sets of datanucleus jars would be left in `lib_managed` and may mess up class paths while executing Hive test suites. Please refer to [this thread] [1] for details. A clean build would be even safer, but we only clean `lib_managed` here to save build time. This PR also takes the chance to clean up some minor typos and formatting issues in the comments. [1]: apache#3157 (comment) <!-- Reviewable:start --> [<img src="https://reviewable.io/review_button.png" height=40 alt="Review on Reviewable"/>](https://reviewable.io/reviews/apache/spark/3756) <!-- Reviewable:end --> Author: Cheng Lian <lian@databricks.com> Closes apache#3756 from liancheng/clean-lib-managed and squashes the following commits: e2bd21d [Cheng Lian] Adds lib_managed to clean set c9f2f3e [Cheng Lian] Cleans lib_managed before compiling with Hive 0.13.1
See https://issues.apache.org/jira/browse/SPARK-4730. Author: Andrew Or <andrew@databricks.com> Closes apache#3590 from andrewor14/yarn-settings and squashes the following commits: 36e0753 [Andrew Or] Merge branch 'master' of github.com:apache/spark into yarn-settings dcd1316 [Andrew Or] Warn against deprecated YARN settings
SPARK-2261 uses a single file to log events for an app. `eventLogDir` in `ApplicationDescription` is replaced with `eventLogFile`. However, `ApplicationDescription` in `SparkDeploySchedulerBackend` is initialized with `SparkContext`'s `eventLogDir`. It is just the log directory, not the actual log file path. `Master.rebuildSparkUI` can not correctly rebuild a new SparkUI for the app. Because the `ApplicationDescription` is remotely registered with `Master` and the app's id is then generated in `Master`, we can not get the app id in advance before registration. So the received description needs to be modified with correct `eventLogFile` value. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes apache#3755 from viirya/fix_app_logdir and squashes the following commits: 5e0ea35 [Liang-Chi Hsieh] Revision for comment. b5730a1 [Liang-Chi Hsieh] Fix incorrect event log path. Closes apache#3777 (a duplicate PR for the same JIRA)
…stered Once the streaming receiver is de-registered at executor, the `ReceiverTrackerActor` needs to remove the corresponding reveiverInfo from the `receiverInfo` map at `ReceiverTracker`. Author: Ilayaperumal Gopinathan <igopinathan@pivotal.io> Closes apache#3647 from ilayaperumalg/receiverInfo-RTracker and squashes the following commits: 6eb97d5 [Ilayaperumal Gopinathan] Polishing based on the review 3640c86 [Ilayaperumal Gopinathan] Remove receiverInfo once receiver is de-registered
…nabled Currently streaming block will be replicated when specific storage level is set, since WAL is already fault tolerant, so replication is needless and will hurt the throughput of streaming application. Hi tdas , as per discussed about this issue, I fixed with this implementation, I'm not is this the way you want, would you mind taking a look at it? Thanks a lot. Author: jerryshao <saisai.shao@intel.com> Closes apache#3534 from jerryshao/SPARK-4671 and squashes the following commits: 500b456 [jerryshao] Do not replicate streaming block when WAL is enabled
Author: Marcelo Vanzin <vanzin@cloudera.com> Closes apache#3460 from vanzin/SPARK-4606 and squashes the following commits: 031207d [Marcelo Vanzin] [SPARK-4606] Send EOF to child JVM when there's no more data to read.
This PR modifies the python `SchemaRDD` to use `sample()` and `takeSample()` from Scala instead of the slower python implementations from `rdd.py`. This is worthwhile because the `Row`'s are already serialized as Java objects. In order to use the faster `takeSample()`, a `takeSampleToPython()` method was implemented in `SchemaRDD.scala` following the pattern of `collectToPython()`. Author: jbencook <jbenjamincook@gmail.com> Author: J. Benjamin Cook <jbenjamincook@gmail.com> Closes apache#3764 from jbencook/master and squashes the following commits: 6fbc769 [J. Benjamin Cook] [SPARK-4860][pyspark][sql] fixing sloppy indentation for takeSampleToPython() arguments 5170da2 [J. Benjamin Cook] [SPARK-4860][pyspark][sql] fixing typo: from RDD to SchemaRDD de22f70 [jbencook] [SPARK-4860][pyspark][sql] using sample() method from JavaSchemaRDD b916442 [jbencook] [SPARK-4860][pyspark][sql] adding sample() to JavaSchemaRDD 020cbdf [jbencook] [SPARK-4860][pyspark][sql] using Scala implementations of `sample()` and `takeSample()`
YanTangZhai
added a commit
that referenced
this pull request
Dec 31, 2014
YanTangZhai
added a commit
that referenced
this pull request
Jan 12, 2015
Support ! boolean logic operator like NOT in sql as follows select * from for_test where !(col1 > col2) Author: YanTangZhai <hakeemzhai@tencent.com> Author: Michael Armbrust <michael@databricks.com> Closes apache#3555 from YanTangZhai/SPARK-4692 and squashes the following commits: 1a9f605 [YanTangZhai] Update HiveQuerySuite.scala 7c03c68 [YanTangZhai] Merge pull request #23 from apache/master 992046e [YanTangZhai] Update HiveQuerySuite.scala ea618f4 [YanTangZhai] Update HiveQuerySuite.scala 192411d [YanTangZhai] Merge pull request #17 from YanTangZhai/master e4c2c0a [YanTangZhai] Merge pull request #15 from apache/master 1e1ebb4 [YanTangZhai] Update HiveQuerySuite.scala efc4210 [YanTangZhai] Update HiveQuerySuite.scala bd2c444 [YanTangZhai] Update HiveQuerySuite.scala 1893956 [YanTangZhai] Merge pull request #14 from marmbrus/pr/3555 59e4de9 [Michael Armbrust] make hive test 718afeb [YanTangZhai] Merge pull request #12 from apache/master 950b21e [YanTangZhai] Update HiveQuerySuite.scala 74175b4 [YanTangZhai] Update HiveQuerySuite.scala 92242c7 [YanTangZhai] Update HiveQl.scala 6e643f8 [YanTangZhai] Merge pull request #11 from apache/master e249846 [YanTangZhai] Merge pull request #10 from apache/master d26d982 [YanTangZhai] Merge pull request #9 from apache/master 76d4027 [YanTangZhai] Merge pull request #8 from apache/master 03b62b0 [YanTangZhai] Merge pull request #7 from apache/master 8a00106 [YanTangZhai] Merge pull request #6 from apache/master cbcba66 [YanTangZhai] Merge pull request #3 from apache/master cdef539 [YanTangZhai] Merge pull request #1 from apache/master
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
No description provided.