pull latest from apache spark #2
Merged
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
JoshRosen this PR addresses the comments you left on #4450 after it got merged. Author: Sandy Ryza <sandy@cloudera.com> Closes #5916 from sryza/sandy-spark-4550-cleanup and squashes the following commits: dee3d85 [Sandy Ryza] Some minor cleanup after SPARK-4550.
…or self-joins. See the comment in join function for more information. Author: Reynold Xin <rxin@databricks.com> Closes #5919 from rxin/self-join-resolve and squashes the following commits: e2fb0da [Reynold Xin] Updated SQLConf comment. 7233a86 [Reynold Xin] Updated comment. 6be2b4d [Reynold Xin] Removed println 9f6b72f [Reynold Xin] [SPARK-6231][SQL/DF] Automatically resolve ambiguity in join condition for self-joins.
This reverts commit d497358. The commit broke Spark on Windows.
Moving here from amplab-extras/SparkR-pkg#241 sum() has been implemented. (amplab-extras/SparkR-pkg#242) Now Phase 1: mean, sd, var have been implemented, but some things still need to be improved with the suggestions in https://issues.apache.org/jira/browse/SPARK-6841 Author: qhuang <qian.huang@intel.com> Closes #5446 from hqzizania/R and squashes the following commits: f283572 [qhuang] add test unit for describe() 2e74d5a [qhuang] add describe() DataFrame API
After a discussion on the user mailing list, it was decided to put all UDF's under `o.a.s.sql.functions` cc rxin Author: Burak Yavuz <brkyvz@gmail.com> Closes #5923 from brkyvz/move-math-funcs and squashes the following commits: a8dc3f7 [Burak Yavuz] address comments cf7a7bb [Burak Yavuz] [SPARK-7358] Move DataFrame mathfunctions into functions
https://issues.apache.org/jira/browse/SPARK-6267 Author: Yanbo Liang <ybliang8@gmail.com> Author: Xiangrui Meng <meng@databricks.com> Closes #5890 from yanboliang/spark-6267 and squashes the following commits: f20541d [Yanbo Liang] Merge pull request #3 from mengxr/SPARK-6267 7f202f9 [Xiangrui Meng] use Vector to have the best Python 2&3 compatibility 4bccfee [Yanbo Liang] fix doctest ec09412 [Yanbo Liang] fix typos 8214bbb [Yanbo Liang] fix code style 5c8ebe5 [Yanbo Liang] Python API for IsotonicRegression
…adcastSuite Fixed the following failure: https://amplab.cs.berkeley.edu/jenkins/job/Spark-1.3-Maven-pre-YARN/hadoop.version=1.0.4,label=centos/452/testReport/junit/org.apache.spark.broadcast/BroadcastSuite/Unpersisting_HttpBroadcast_on_executors_and_driver_in_distributed_mode/ The tests should wait until all slaves are up. Otherwise, there may be only a part of `BlockManager`s registered, and fail the tests. Author: zsxwing <zsxwing@gmail.com> Closes #5925 from zsxwing/SPARK-7384 and squashes the following commits: 783cb7b [zsxwing] Add comments for _jobProgressListener and remove postfixOps 1009ef1 [zsxwing] [SPARK-7384][Core][Tests] Fix flaky tests for distributed mode in BroadcastSuite
Since CrossValidator is a meta algorithm, we copy the implementation in Python. jkbradley Author: Xiangrui Meng <meng@databricks.com> Closes #5926 from mengxr/SPARK-6940 and squashes the following commits: 6af181f [Xiangrui Meng] add TODOs 8285134 [Xiangrui Meng] update doc 060f7c3 [Xiangrui Meng] update doctest acac727 [Xiangrui Meng] add keyword args cdddecd [Xiangrui Meng] add CrossValidator in Python
huangjs Acutally spark sql will first go through analysis period, in which we do widen types and promote strings, and then optimization, where constant IN will be converted into INSET. So it turn out that we only need to fix this for IN. Author: Daoyuan Wang <daoyuan.wang@intel.com> Closes #4945 from adrian-wang/inset and squashes the following commits: 71e05cc [Daoyuan Wang] minor fix 581fa1c [Daoyuan Wang] mysql way f3f7baf [Daoyuan Wang] address comments 5eed4bc [Daoyuan Wang] promote string and do widen types for IN
Adding more information about the implementation...
This PR is adding the support of window functions to Spark SQL (specifically OVER and WINDOW clause). For every expression having a OVER clause, we use a WindowExpression as the container of a WindowFunction and the corresponding WindowSpecDefinition (the definition of a window frame, i.e. partition specification, order specification, and frame specification appearing in a OVER clause).
# Implementation #
The high level work flow of the implementation is described as follows.
* Query parsing: In the query parse process, all WindowExpressions are originally placed in the projectList of a Project operator or the aggregateExpressions of an Aggregate operator. It makes our changes to simple and keep all of parsing rules for window functions at a single place (nodesToWindowSpecification). For the WINDOWclause in a query, we use a WithWindowDefinition as the container as the mapping from the name of a window specification to a WindowSpecDefinition. This changes is similar with our common table expression support.
* Analysis: The query analysis process has three steps for window functions.
* Resolve all WindowSpecReferences by replacing them with WindowSpecReferences according to the mapping table stored in the node of WithWindowDefinition.
* Resolve WindowFunctions in the projectList of a Project operator or the aggregateExpressions of an Aggregate operator. For this PR, we use Hive's functions for window functions because we will have a major refactoring of our internal UDAFs and it is better to switch our UDAFs after that refactoring work.
* Once we have resolved all WindowFunctions, we will use ResolveWindowFunction to extract WindowExpressions from projectList and aggregateExpressions and then create a Window operator for every distinct WindowSpecDefinition. With this choice, at the execution time, we can rely on the Exchange operator to do all of work on reorganizing the table and we do not need to worry about it in the physical Window operator. An example analyzed plan is shown as follows
```
sql("""
SELECT
year, country, product, sales,
avg(sales) over(partition by product) avg_product,
sum(sales) over(partition by country) sum_country
FROM sales
ORDER BY year, country, product
""").explain(true)
== Analyzed Logical Plan ==
Sort [year#34 ASC,country#35 ASC,product#36 ASC], true
Project [year#34,country#35,product#36,sales#37,avg_product#27,sum_country#28]
Window [year#34,country#35,product#36,sales#37,avg_product#27], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum(sales#37) WindowSpecDefinition [country#35], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS sum_country#28], WindowSpecDefinition [country#35], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
Window [year#34,country#35,product#36,sales#37], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFAverage(sales#37) WindowSpecDefinition [product#36], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS avg_product#27], WindowSpecDefinition [product#36], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
Project [year#34,country#35,product#36,sales#37]
MetastoreRelation default, sales, None
```
* Query planning: In the process of query planning, we simple generate the physical Window operator based on the logical Window operator. Then, to prepare the executedPlan, the EnsureRequirements rule will add Exchange and Sort operators if necessary. The EnsureRequirements rule will analyze the data properties and try to not add unnecessary shuffle and sort. The physical plan for the above example query is shown below.
```
== Physical Plan ==
Sort [year#34 ASC,country#35 ASC,product#36 ASC], true
Exchange (RangePartitioning [year#34 ASC,country#35 ASC,product#36 ASC], 200), []
Window [year#34,country#35,product#36,sales#37,avg_product#27], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFSum(sales#37) WindowSpecDefinition [country#35], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS sum_country#28], WindowSpecDefinition [country#35], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
Exchange (HashPartitioning [country#35], 200), [country#35 ASC]
Window [year#34,country#35,product#36,sales#37], [HiveWindowFunction#org.apache.hadoop.hive.ql.udf.generic.GenericUDAFAverage(sales#37) WindowSpecDefinition [product#36], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING AS avg_product#27], WindowSpecDefinition [product#36], [], ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING
Exchange (HashPartitioning [product#36], 200), [product#36 ASC]
HiveTableScan [year#34,country#35,product#36,sales#37], (MetastoreRelation default, sales, None), None
```
* Execution time: At execution time, a physical Window operator buffers all rows in a partition specified in the partition spec of a OVER clause. If necessary, it also maintains a sliding window frame. The current implementation tries to buffer the input parameters of a window function according to the window frame to avoid evaluating a row multiple times.
# Future work #
Here are three improvements that are not hard to add:
* Taking advantage of the window frame specification to reduce the number of rows buffered in the physical Window operator. For some cases, we only need to buffer the rows appearing in the sliding window. But for other cases, we will not be able to reduce the number of rows buffered (e.g. ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING).
* When aRAGEN frame is used, for <value> PRECEDING and <value> FOLLOWING, it will be great if the <value> part is an expression (we can start with Literal). So, when the data type of ORDER BY expression is a FractionalType, we can support FractionalType as the type <value> (<value> still needs to be evaluated as a positive value).
* When aRAGEN frame is used, we need to support DateType and TimestampType as the data type of the expression appearing in the order specification. Then, the <value> part of <value> PRECEDING and <value> FOLLOWING can support interval types (once we support them).
This is a joint work with guowei2 and yhuai
Thanks hbutani hvanhovell for his comments
Thanks scwf for his comments and unit tests
Author: Yin Huai <yhuai@databricks.com>
Closes #5604 from guowei2/windowImplement and squashes the following commits:
76fe1c8 [Yin Huai] Implementation.
aa2b0ae [Yin Huai] Tests.
…ializers support object relocation This patch extends the `Serializer` interface with a new `Private` API which allows serializers to indicate whether they support relocation of serialized objects in serializer stream output. This relocatibilty property is described in more detail in `Serializer.scala`, but in a nutshell a serializer supports relocation if reordering the bytes of serialized objects in serialization stream output is equivalent to having re-ordered those elements prior to serializing them. The optimized shuffle path introduced in #4450 and #5868 both rely on serializers having this property; this patch just centralizes the logic for determining whether a serializer has this property. I also added tests and comments clarifying when this works for KryoSerializer. This change allows the optimizations in #4450 to be applied for shuffles that use `SqlSerializer2`. Author: Josh Rosen <joshrosen@databricks.com> Closes #5924 from JoshRosen/SPARK-7311 and squashes the following commits: 50a68ca [Josh Rosen] Address minor nits 0a7ebd7 [Josh Rosen] Clarify reason why SqlSerializer2 supports this serializer 123b992 [Josh Rosen] Cleanup for submitting as standalone patch. 4aa61b2 [Josh Rosen] Add missing newline 2c1233a [Josh Rosen] Small refactoring of SerializerPropertiesSuite to enable test re-use: 0ba75e6 [Josh Rosen] Add tests for serializer relocation property. 450fa21 [Josh Rosen] Back out accidental log4j.properties change 86d4dcd [Josh Rosen] Flag that SparkSqlSerializer2 supports relocation b9624ee [Josh Rosen] Expand serializer API and use new function to help control when new UnsafeShuffle path is used.
This was originally added as part of #4435, which was reverted.
Changes: * Update protected prediction methods, following design doc. **<--most interesting change** * Changed abstract classes for Estimator and Model to be public. Added DeveloperApi tag. (I kept the traits for Estimator/Model Params private.) * Changed ProbabilisticClassificationModel method names to use probability instead of probabilities. CC: mengxr shivaram etrain Author: Joseph K. Bradley <joseph@databricks.com> Closes #5913 from jkbradley/public-dev-api and squashes the following commits: e9aa0ea [Joseph K. Bradley] moved findMax to DenseVector and renamed to argmax. fixed bug for vector of length 0 15b9957 [Joseph K. Bradley] renamed probabilities to probability in method names 5cda84d [Joseph K. Bradley] regenerated sharedParams 7d1877a [Joseph K. Bradley] Made spark.ml prediction abstractions public. Organized their prediction methods for efficient computation of multiple output columns.
This PR also makes some of the DataFrame to RDD methods private as the RDD class is private in 1.4 cc rxin pwendell Author: Shivaram Venkataraman <shivaram@cs.berkeley.edu> Closes #5949 from shivaram/sparkr-examples and squashes the following commits: 6c42fdc [Shivaram Venkataraman] Remove SparkR RDD examples, add dataframe examples
…se new Producer API Otherwise it will throw exception: ``` Exception in thread "main" kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries. at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:90) at kafka.producer.Producer.send(Producer.scala:77) at org.apache.spark.examples.streaming.KafkaWordCountProducer$.main(KafkaWordCount.scala:96) at org.apache.spark.examples.streaming.KafkaWordCountProducer.main(KafkaWordCount.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.lang.reflect.Method.invoke(Method.java:606) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:623) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:169) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:192) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:111) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) ``` Author: jerryshao <saisai.shao@intel.com> Closes #5936 from jerryshao/SPARK-7396 and squashes the following commits: 270bbe2 [jerryshao] Fix Kafka Produce throw Exception issue
) This is a follow-up patch for #5729. **[SPARK-7408]** Move as much style code from JS to CSS as possible **[SPARK-7377]** Fix JS error if a job / stage contains only one RDD **[SPARK-7371]** Decrease emphasis on RDD on stage page as requested by mateiz pwendell This patch also includes general code clean up. <img src="https://issues.apache.org/jira/secure/attachment/12730992/before-after.png" width="500px"></img> Author: Andrew Or <andrew@databricks.com> Closes #5954 from andrewor14/viz-emphasize-rdd and squashes the following commits: 3c0d4f0 [Andrew Or] Guard against JS error by rendering arrows only if needed f23e15b [Andrew Or] Merge branch 'master' of github.com:apache/spark into viz-emphasize-rdd 565801f [Andrew Or] Clean up code 9dab5f0 [Andrew Or] Move styling from JS to CSS + clean up code 107c0b6 [Andrew Or] Tweak background color, stroke width, font size etc. 1610c62 [Andrew Or] Implement cluster padding for stage page
…t report InputInfo The bug is because SPARK-7139 removed some codes from SPARK-7112 unintentionally here: 1854ac3#diff-5c8651dd78abd20439b8eb938175075dL72 This PR just added them back and added some assertions in the tests to verify it. Author: zsxwing <zsxwing@gmail.com> Closes #5950 from zsxwing/SPARK-7405 and squashes the following commits: 675f5d9 [zsxwing] Fix the bug that ReceiverInputDStream doesn't report InputInfo
According to the R manual: https://stat.ethz.ch/R-manual/R-devel/library/base/html/Startup.html, " if a function .First is found on the search path, it is executed as .First(). Finally, function .First.sys() in the base package is run. This calls require to attach the default packages specified by options("defaultPackages")." In .First() in profile/shell.R, we load SparkR package. This means SparkR package is loaded before default packages. If there are same names in default packages, they will overwrite those in SparkR. This is why filter() in SparkR is masked by filter() in stats, which is usually in the default package list. We need to make sure SparkR is loaded after default packages. The solution is to append SparkR to default packages, instead of loading SparkR in .First(). BTW, I'd like to discuss our policy on how to solve name conflict. Previously, we rename API names from Scala API if there is name conflict with base or other commonly-used packages. However, from long term perspective, this is not good for API stability, because we can't predict name conflicts, for example, if in the future a name added in base package conflicts with an API in SparkR? So the better policy is to keep API name same as Scala's without worrying about name conflicts. When users use SparkR, they should load SparkR as last package, so that all API names are effective. Use can explicitly use :: to refer to hidden names from other packages. If we agree on this, I can submit a JIRA issue to change back some rename API methods, for example, DataFrame.sortDF(). Author: Sun Rui <rui.sun@intel.com> Closes #5938 from sun-rui/SPARK-6812 and squashes the following commits: b569145 [Sun Rui] [SPARK-6812][SparkR] filter() on DataFrame does not work as expected.
This patch comprises of a few related pieces of work:
* Schema inference is performed directly on the JSON token stream
* `String => Row` conversion populate Spark SQL structures without intermediate types
* Projection pushdown is implemented via CatalystScan for DataFrame queries
* Support for the legacy parser by setting `spark.sql.json.useJacksonStreamingAPI` to `false`
Performance improvements depend on the schema and queries being executed, but it should be faster across the board. Below are benchmarks using the last.fm Million Song dataset:
```
Command | Baseline | Patched
---------------------------------------------------|----------|--------
import sqlContext.implicits._ | |
val df = sqlContext.jsonFile("/tmp/lastfm.json") | 70.0s | 14.6s
df.count() | 28.8s | 6.2s
df.rdd.count() | 35.3s | 21.5s
df.where($"artist" === "Robert Hood").collect() | 28.3s | 16.9s
```
To prepare this dataset for benchmarking, follow these steps:
```
# Fetch the datasets from http://labrosa.ee.columbia.edu/millionsong/lastfm
wget http://labrosa.ee.columbia.edu/millionsong/sites/default/files/lastfm/lastfm_test.zip \
http://labrosa.ee.columbia.edu/millionsong/sites/default/files/lastfm/lastfm_train.zip
# Decompress and combine, pipe through `jq -c` to ensure there is one record per line
unzip -p lastfm_test.zip lastfm_train.zip | jq -c . > lastfm.json
```
Author: Nathan Howell <nhowell@godaddy.com>
Closes #5801 from NathanHowell/json-performance and squashes the following commits:
26fea31 [Nathan Howell] Recreate the baseRDD each for each scan operation
a7ebeb2 [Nathan Howell] Increase coverage of inserts into a JSONRelation
e06a1dd [Nathan Howell] Add comments to the `useJacksonStreamingAPI` config flag
6822712 [Nathan Howell] Split up JsonRDD2 into multiple objects
fa8234f [Nathan Howell] Wrap long lines
b31917b [Nathan Howell] Rename `useJsonRDD2` to `useJacksonStreamingAPI`
15c5d1b [Nathan Howell] JSONRelation's baseRDD need not be lazy
f8add6e [Nathan Howell] Add comments on lack of support for precision and scale DecimalTypes
fa0be47 [Nathan Howell] Remove unused default case in the field parser
80dba17 [Nathan Howell] Add comments regarding null handling and empty strings
842846d [Nathan Howell] Point the empty schema inference test at JsonRDD2
ab6ee87 [Nathan Howell] Add projection pushdown support to JsonRDD/JsonRDD2
f636c14 [Nathan Howell] Enable JsonRDD2 by default, add a flag to switch back to JsonRDD
0bbc445 [Nathan Howell] Improve JSON parsing and type inference performance
7ca70c1 [Nathan Howell] Eliminate arrow pattern, replace with pattern matches
…ts to increase debuggability Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #5961 from tdas/SPARK-7430 and squashes the following commits: d654978 [Tathagata Das] Fix scala style fbf7174 [Tathagata Das] Added more verbose assert failure messages. 6aea07a [Tathagata Das] Ensure SynchronizedBuffer is used in every TestSuiteBase
…avior of StreamingContext.stop() implicitly calling SparkContext.stop() In environments like notebooks, the SparkContext is managed by the underlying infrastructure and it is expected that the SparkContext will not be stopped. However, StreamingContext.stop() calls SparkContext.stop() as a non-intuitive side-effect. This PR adds a configuration in SparkConf that sets the default StreamingContext stop behavior. It should be such that the existing behavior does not change for existing users. Author: Tathagata Das <tathagata.das1565@gmail.com> Closes #5929 from tdas/SPARK-7217 and squashes the following commits: 869a763 [Tathagata Das] Changed implementation. 685fe00 [Tathagata Das] Added configuration
Author: Shiti <ssaxena.ece@gmail.com> Closes #5867 from Shiti/spark-7295 and squashes the following commits: 71a9913 [Shiti] implementation for bitwise and,or, not and xor on Column with tests and docs
Small changes, primarily to allow us more flexibility in the future: * Rename "tau_0" to "tau0" * Mark LDAOptimizer trait sealed and DeveloperApi. * Mark LDAOptimizer subclasses as final. * Mark setOptimizer (the one taking an LDAOptimizer) and getOptimizer as DeveloperApi since we may need to change them in the future CC: hhbyyh Author: Joseph K. Bradley <joseph@databricks.com> Closes #5956 from jkbradley/onlinelda-cleanups and squashes the following commits: f4be508 [Joseph K. Bradley] added newline f4003e4 [Joseph K. Bradley] Changes: * Rename "tau_0" to "tau0" * Mark LDAOptimizer trait sealed and DeveloperApi. * Mark LDAOptimizer subclasses as final. * Mark setOptimizer (the one taking an LDAOptimizer) and getOptimizer as DeveloperApi since we may need to change them in the future
the toArray function of the BoundedPriorityQueue does not necessarily preserve order. Add a counter-example as the test, which would fail the original impl. Author: Shuo Xiang <shuoxiangpub@gmail.com> Closes #5990 from coderxiang/topbykey-test and squashes the following commits: 98804c9 [Shuo Xiang] fix bug in topBykey and update test
With 0a2b15c, the serialization stream and deserialization stream has enough information to determine it is handling a key-value pari, a key, or a value. It is safe to use `SparkSqlSerializer2` in more cases. Author: Yin Huai <yhuai@databricks.com> Closes #5849 from yhuai/serializer2MoreCases and squashes the following commits: 53a5eaa [Yin Huai] Josh's comments. 487f540 [Yin Huai] Use BufferedOutputStream. 8385f95 [Yin Huai] Always create a new row at the deserialization side to work with sort merge join. c7e2129 [Yin Huai] Update tests. 4513d13 [Yin Huai] Use Serializer2 in more places.
This only happens if you have `SPARK_PREPEND_CLASSES` set. Then I built it with `build/sbt clean assembly compile` and just ran it with `bin/spark-shell`.
```
...
15/05/07 17:07:30 INFO EventLoggingListener: Logging events to file:/tmp/spark-events/local-1431043649919
15/05/07 17:07:30 INFO SparkILoop: Created spark context..
Spark context available as sc.
java.lang.NoClassDefFoundError: org/apache/hadoop/hive/conf/HiveConf
at java.lang.Class.getDeclaredConstructors0(Native Method)
at java.lang.Class.privateGetDeclaredConstructors(Class.java:2493)
at java.lang.Class.getConstructor0(Class.java:2803)
...
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hive.conf.HiveConf
at java.net.URLClassLoader$1.run(URLClassLoader.java:366)
at java.net.URLClassLoader$1.run(URLClassLoader.java:355)
at java.security.AccessController.doPrivileged(Native Method)
at java.net.URLClassLoader.findClass(URLClassLoader.java:354)
at java.lang.ClassLoader.loadClass(ClassLoader.java:425)
at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:308)
at java.lang.ClassLoader.loadClass(ClassLoader.java:358)
... 52 more
<console>:10: error: not found: value sqlContext
import sqlContext.implicits._
^
<console>:10: error: not found: value sqlContext
import sqlContext.sql
^
```
yhuai marmbrus
Author: Andrew Or <andrew@databricks.com>
Closes #5997 from andrewor14/sql-shell-crash and squashes the following commits:
61147e6 [Andrew Or] Also expect NoClassDefFoundError
Added a new batch named `Substitution` before `Resolution` batch. The motivation for this is there are kind of cases we want to do some substitution on the parsed logical plan before resolve it.
Consider this two cases:
1 CTE, for cte we first build a row logical plan
```
'With Map(q1 -> 'Subquery q1
'Project ['key]
'UnresolvedRelation [src], None)
'Project [*]
'Filter ('key = 5)
'UnresolvedRelation [q1], None
```
In `With` logicalplan here is a map stored the (`q1-> subquery`), we want first take off the with command and substitute the `q1` of `UnresolvedRelation` by the `subquery`
2 Another example is Window function, in window function user may define some windows, we also need substitute the window name of child by the concrete window. this should also done in the Substitution batch.
Author: wangfei <wangfei1@huawei.com>
Closes #5776 from scwf/addbatch and squashes the following commits:
d4b962f [wangfei] added WindowsSubstitution
70f6932 [wangfei] Merge branch 'master' of https://github.com/apache/spark into addbatch
ecaeafb [wangfei] address yhuai's comments
553005a [wangfei] fix test case
0c54798 [wangfei] address comments
29aaaaf [wangfei] fix compile
1c9a092 [wangfei] added Substitution bastch
Based on #5478 that provide a PYSPARK_ARCHIVES_PATH env. within this PR, we just should export PYSPARK_ARCHIVES_PATH=/user/spark/pyspark.zip,/user/spark/python/lib/py4j-0.8.2.1-src.zip in conf/spark-env.sh when we don't install PySpark on each node of Yarn. i run python application successfully on yarn-client and yarn-cluster with this PR. andrewor14 sryza Sephiroth-Lin Can you take a look at this?thanks. Author: Lianhui Wang <lianhuiwang09@gmail.com> Closes #5580 from lianhuiwang/SPARK-6869 and squashes the following commits: 66ffa43 [Lianhui Wang] Update Client.scala c2ad0f9 [Lianhui Wang] Update Client.scala 1c8f664 [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 008850a [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 f0b4ed8 [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 150907b [Lianhui Wang] Merge remote-tracking branch 'remotes/apache/master' into SPARK-6869 20402cd [Lianhui Wang] use ZipEntry 9d87c3f [Lianhui Wang] update scala style e7bd971 [Lianhui Wang] address vanzin's comments 4b8a3ed [Lianhui Wang] use pyArchivesEnvOpt e6b573b [Lianhui Wang] address vanzin's comments f11f84a [Lianhui Wang] zip pyspark archives 5192cca [Lianhui Wang] update import path 3b1e4c8 [Lianhui Wang] address tgravescs's comments 9396346 [Lianhui Wang] put zip to make-distribution.sh 0d2baf7 [Lianhui Wang] update import paths e0179be [Lianhui Wang] add zip pyspark archives in build or sparksubmit 31e8e06 [Lianhui Wang] update code style 9f31dac [Lianhui Wang] update code and add comments f72987c [Lianhui Wang] add archives path to PYTHONPATH
Exposes data available in the UI as json over http. Key points: * new endpoints, handled independently of existing XyzPage classes. Root entrypoint is `JsonRootResource` * Uses jersey + jackson for routing & converting POJOs into json * tests against known results in `HistoryServerSuite` * also fixes some minor issues w/ the UI -- synchronizing on access to `StorageListener` & `StorageStatusListener`, and fixing some inconsistencies w/ the way we handle retained jobs & stages. Author: Imran Rashid <irashid@cloudera.com> Closes #5940 from squito/SPARK-3454_better_test_files and squashes the following commits: 1a72ed6 [Imran Rashid] rats 85fdb3e [Imran Rashid] Merge branch 'no_php' into SPARK-3454 1fc65b0 [Imran Rashid] Revert "Revert "[SPARK-3454] separate json endpoints for data in the UI"" 1276900 [Imran Rashid] get rid of giant event file, replace w/ smaller one; check both shuffle read & shuffle write 4e12013 [Imran Rashid] just use test case name for expectation file name 863ef64 [Imran Rashid] rename json files to avoid strange file names and not look like php
Implemented python wrappers for Scala functions that don't exist in `ml.features` Author: Burak Yavuz <brkyvz@gmail.com> Closes #5991 from brkyvz/ml-feat-PR and squashes the following commits: adcca55 [Burak Yavuz] add regex tokenizer to __all__ b91cb44 [Burak Yavuz] addressed comments bd39fd2 [Burak Yavuz] remove addition b82bd7c [Burak Yavuz] Parity in PySpark for ml.features
Multiline commands are properly handled in this PR. oefirouz  Author: Xiangrui Meng <meng@databricks.com> Closes #6001 from mengxr/SPARK-7474 and squashes the following commits: b94b11d [Xiangrui Meng] update ParamGridBuilder doctest
This patch also removes the RDD docs from being built as a part of roxygen just by the method to delete " ' '" of " \#' ". Author: hqzizania <qian.huang@intel.com> Author: qhuang <qian.huang@intel.com> Closes #5969 from hqzizania/R1 and squashes the following commits: 6d27696 [qhuang] fixes in NAMESPACE eb4b095 [qhuang] remove more docs 6394579 [qhuang] remove RDD docs in generics.R 6813860 [hqzizania] Fill the docs for DataFrame API in SparkR 857220f [hqzizania] remove the pairRDD docs from being built as a part of roxygen c045d64 [hqzizania] remove the RDD docs from being built as a part of roxygen
…added tests Author: Jacek Lewandowski <lewandowski.jacek@gmail.com> Closes #5977 from jacek-lewandowski/SPARK-7436 and squashes the following commits: ff0a3c2 [Jacek Lewandowski] SPARK-7436: Fixed instantiation of custom recovery mode factory and added tests
- Colors on the timeline now match the rest of the UI - The expandable buttons to show timeline view, DAG, etc are now more visible - Timeline text is smaller - DAG visualization text and colors are more consistent throughout - Fix some JavaScript style issues - Various small fixes throughout (e.g. inconsistent capitalization, some confusing names, HTML escaping, etc) Author: Matei Zaharia <matei@databricks.com> Closes #5942 from mateiz/ui and squashes the following commits: def38d0 [Matei Zaharia] Add some tooltips 4c5a364 [Matei Zaharia] Reduce stage and rank separation slightly 43dcbe3 [Matei Zaharia] Some updates to DAG fac734a [Matei Zaharia] tweaks 6a6705d [Matei Zaharia] More fixes 67629f5 [Matei Zaharia] Various small tweaks
It's the first step: generalize UnresolvedGetField to support all map, struct, and array TODO: add `apply` in Scala and `__getitem__` in Python, and unify the `getItem` and `getField` methods to one single API(or should we keep them for compatibility?). Author: Wenchen Fan <cloud0fan@outlook.com> Closes #5744 from cloud-fan/generalize and squashes the following commits: 715c589 [Wenchen Fan] address comments 7ea5b31 [Wenchen Fan] fix python test 4f0833a [Wenchen Fan] add python test f515d69 [Wenchen Fan] add apply method and test cases 8df6199 [Wenchen Fan] fix python test 239730c [Wenchen Fan] fix test compile 2a70526 [Wenchen Fan] use _bin_op in dataframe.py 6bf72bc [Wenchen Fan] address comments 3f880c3 [Wenchen Fan] add java doc ab35ab5 [Wenchen Fan] fix python test b5961a9 [Wenchen Fan] fix style c9d85f5 [Wenchen Fan] generalize UnresolvedGetField to support all map, struct, and array
The previous cleanup-commit for SPARK-6627 renamed ShuffleBlockManager to ShuffleBlockResolver, but didn't rename the associated subclasses and variables; this commit does that. I'm unsure whether it's ok to rename ExternalShuffleBlockManager, since that's technically a public class? cc pwendell Author: Kay Ousterhout <kayousterhout@gmail.com> Closes #5764 from kayousterhout/SPARK-6627 and squashes the following commits: 43add1e [Kay Ousterhout] Spacing fix 96080bf [Kay Ousterhout] Test fixes d8a5d36 [Kay Ousterhout] [SPARK-6627] Finished rename to ShuffleBlockResolver
…close input streams GZIPInputStream allocates native memory that is not freed until close() or when the finalizer runs. It is best to close() these streams explicitly. stephenh made the same change for serializeMapStatuses in commit b0d884f. This is the same change for deserialize. (I ran the unit test suite! it seems to have passed. I did not make a JIRA since this seems "trivial", and the guidelines suggest it is not required for trivial changes) Author: Evan Jones <ejones@twitter.com> Closes #5982 from evanj/master and squashes the following commits: 0d76e85 [Evan Jones] [CORE] MapOutputTracker.deserializeMapStatuses: close input streams
`vis.min.js` refers `vis.map` and this even refers `vis.js` which is used for debug `vis.js` but this debug feature is not needed for Spark itself. This issue is really minor so I don't file this in JIRA. /CC andrewor14 Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp> Closes #5994 from sarutak/remove-debug-feature-for-vis and squashes the following commits: 8be038f [Kousuke Saruta] Remove vis.map entry from .rat-exclude 7404945 [Kousuke Saruta] Removed debug feature for vis.js
…la 2.11 Spark shell crashes when compiled with scala 2.11 and SPARK_PREPEND_CLASSES=true There is a similar Resolved JIRA issue -SPARK-7470 and a PR #5997 , which handled same issue only in scala 2.10 Author: vinodkc <vinod.kc.in@gmail.com> Closes #6013 from vinodkc/fix_sqlcontext_exception_scala_2.11 and squashes the following commits: 119061c [vinodkc] Spark shell crashes when compiled with scala 2.11
The JVM is free to collect references to variables that no longer participate in a computation. This simple patch adds an operation to the variable 'rdd' to ensure it is not collected early in the test suite's explicit calls to GC. ref: http://bugs.java.com/view_bug.do?bug_id=6721588 Author: Tim Ellison <t.p.ellison@gmail.com> Closes #6010 from tellison/master and squashes the following commits: 77d1c8f [Tim Ellison] Defeat early garbage collection of test suite variable by aggressive JVMs
Simple fix. We were comparing an option with `null`. Before: <img src="https://issues.apache.org/jira/secure/attachment/12731383/before.png" width="250px"/> After: <img src="https://issues.apache.org/jira/secure/attachment/12731384/after.png" width="250px"/> Author: Andrew Or <andrew@databricks.com> Closes #6002 from andrewor14/dag-viz-orphan-nodes and squashes the following commits: a1468dc [Andrew Or] Fix null check
The code was treating deep links as if they were attempt IDs, so for example if you tried to load "/history/app1/jobs" directly, that would fail because the code would treat "jobs" as an attempt id. This change modifies the code to try both cases - first without an attempt id, then with it, so that deep links are handled correctly. This assumes that the links in the Spark UI do not clash with the attempt id namespace, though, which is the case for YARN at least, which is the only backend that currently publishes attempt IDs. Author: Marcelo Vanzin <vanzin@cloudera.com> Closes #5922 from vanzin/SPARK-7378 and squashes the following commits: 96f648b [Marcelo Vanzin] Fix comparison. ed3bcd4 [Marcelo Vanzin] Merge branch 'master' into SPARK-7378 23483e4 [Marcelo Vanzin] Fat fingers. b728f08 [Marcelo Vanzin] [SPARK-7378] [core] Handle deep links to unloaded apps.
…is greater than zero JIRA: https://issues.apache.org/jira/browse/SPARK-7390 Also fix a minor typo. Author: Liang-Chi Hsieh <viirya@gmail.com> Closes #5931 from viirya/fix_covariancecounter and squashes the following commits: 352eda6 [Liang-Chi Hsieh] Only merge other CovarianceCounter when its count is greater than zero.
rekhajoshm
added a commit
that referenced
this pull request
May 8, 2015
pull latest from apache spark
rekhajoshm
pushed a commit
that referenced
this pull request
Jun 22, 2015
…" into true or false directly SQL ``` select key from src where 3 in (4, 5); ``` Before ``` == Optimized Logical Plan == Project [key#12] Filter 3 INSET (5,4) MetastoreRelation default, src, None ``` After ``` == Optimized Logical Plan == LocalRelation [key#228], [] ``` Author: Zhongshuai Pei <799203320@qq.com> Author: DoingDone9 <799203320@qq.com> Closes apache#5972 from DoingDone9/InToFalse and squashes the following commits: 4c722a2 [Zhongshuai Pei] Update predicates.scala abe2bbb [Zhongshuai Pei] Update Optimizer.scala fa461a5 [Zhongshuai Pei] Update Optimizer.scala e34c28a [Zhongshuai Pei] Update predicates.scala 24739bd [Zhongshuai Pei] Update ConstantFoldingSuite.scala f4dbf50 [Zhongshuai Pei] Update ConstantFoldingSuite.scala 35ceb7a [Zhongshuai Pei] Update Optimizer.scala 36c194e [Zhongshuai Pei] Update Optimizer.scala 2e8f6ca [Zhongshuai Pei] Update Optimizer.scala 14952e2 [Zhongshuai Pei] Merge pull request #13 from apache/master f03fe7f [Zhongshuai Pei] Merge pull request #12 from apache/master f12fa50 [Zhongshuai Pei] Merge pull request #10 from apache/master f61210c [Zhongshuai Pei] Merge pull request #9 from apache/master 34b1a9a [Zhongshuai Pei] Merge pull request #8 from apache/master 802261c [DoingDone9] Merge pull request #7 from apache/master d00303b [DoingDone9] Merge pull request #6 from apache/master 98b134f [DoingDone9] Merge pull request #5 from apache/master 161cae3 [DoingDone9] Merge pull request #4 from apache/master c87e8b6 [DoingDone9] Merge pull request #3 from apache/master cb1852d [DoingDone9] Merge pull request #2 from apache/master c3f046f [DoingDone9] Merge pull request #1 from apache/master
rekhajoshm
pushed a commit
that referenced
this pull request
Jun 22, 2015
…into a single batch. SQL ``` select * from tableA join tableB on (a > 3 and b = d) or (a > 3 and b = e) ``` Plan before modify ``` == Optimized Logical Plan == Project [a#293,b#294,c#295,d#296,e#297] Join Inner, Some(((a#293 > 3) && ((b#294 = d#296) || (b#294 = e#297)))) MetastoreRelation default, tablea, None MetastoreRelation default, tableb, None ``` Plan after modify ``` == Optimized Logical Plan == Project [a#293,b#294,c#295,d#296,e#297] Join Inner, Some(((b#294 = d#296) || (b#294 = e#297))) Filter (a#293 > 3) MetastoreRelation default, tablea, None MetastoreRelation default, tableb, None ``` CombineLimits ==> Limit(If(LessThan(ne, le), ne, le), grandChild) and LessThan is in BooleanSimplification , so CombineLimits must before BooleanSimplification and BooleanSimplification must before PushPredicateThroughJoin. Author: Zhongshuai Pei <799203320@qq.com> Author: DoingDone9 <799203320@qq.com> Closes apache#6351 from DoingDone9/master and squashes the following commits: 20de7be [Zhongshuai Pei] Update Optimizer.scala 7bc7d28 [Zhongshuai Pei] Merge pull request apache#17 from apache/master 0ba5f42 [Zhongshuai Pei] Update Optimizer.scala f8b9314 [Zhongshuai Pei] Update FilterPushdownSuite.scala c529d9f [Zhongshuai Pei] Update FilterPushdownSuite.scala ae3af6d [Zhongshuai Pei] Update FilterPushdownSuite.scala a04ffae [Zhongshuai Pei] Update Optimizer.scala 11beb61 [Zhongshuai Pei] Update FilterPushdownSuite.scala f2ee5fe [Zhongshuai Pei] Update Optimizer.scala be6b1d5 [Zhongshuai Pei] Update Optimizer.scala b01e622 [Zhongshuai Pei] Merge pull request #15 from apache/master 8df716a [Zhongshuai Pei] Update FilterPushdownSuite.scala d98bc35 [Zhongshuai Pei] Update FilterPushdownSuite.scala fa65718 [Zhongshuai Pei] Update Optimizer.scala ab8e9a6 [Zhongshuai Pei] Merge pull request #14 from apache/master 14952e2 [Zhongshuai Pei] Merge pull request #13 from apache/master f03fe7f [Zhongshuai Pei] Merge pull request #12 from apache/master f12fa50 [Zhongshuai Pei] Merge pull request #10 from apache/master f61210c [Zhongshuai Pei] Merge pull request #9 from apache/master 34b1a9a [Zhongshuai Pei] Merge pull request #8 from apache/master 802261c [DoingDone9] Merge pull request #7 from apache/master d00303b [DoingDone9] Merge pull request #6 from apache/master 98b134f [DoingDone9] Merge pull request #5 from apache/master 161cae3 [DoingDone9] Merge pull request #4 from apache/master c87e8b6 [DoingDone9] Merge pull request #3 from apache/master cb1852d [DoingDone9] Merge pull request #2 from apache/master c3f046f [DoingDone9] Merge pull request #1 from apache/master
rekhajoshm
pushed a commit
that referenced
this pull request
Sep 17, 2015
… attempts for a stage https://issues.apache.org/jira/browse/SPARK-8103 cc kayousterhout (thanks for the extra test case) Author: Imran Rashid <irashid@cloudera.com> Author: Kay Ousterhout <kayousterhout@gmail.com> Author: Imran Rashid <squito@users.noreply.github.com> Closes apache#6750 from squito/SPARK-8103 and squashes the following commits: fb3acfc [Imran Rashid] fix log msg e01b7aa [Imran Rashid] fix some comments, style 584acd4 [Imran Rashid] simplify going from taskId to taskSetMgr e43ac25 [Imran Rashid] Merge branch 'master' into SPARK-8103 6bc23af [Imran Rashid] update log msg 4470fa1 [Imran Rashid] rename c04707e [Imran Rashid] style 88b61cc [Imran Rashid] add tests to make sure that TaskSchedulerImpl schedules correctly with zombie attempts d7f1ef2 [Imran Rashid] get rid of activeTaskSets a21c8b5 [Imran Rashid] Merge branch 'master' into SPARK-8103 906d626 [Imran Rashid] fix merge 109900e [Imran Rashid] Merge branch 'master' into SPARK-8103 c0d4d90 [Imran Rashid] Revert "Index active task sets by stage Id rather than by task set id" f025154 [Imran Rashid] Merge pull request #2 from kayousterhout/imran_SPARK-8103 baf46e1 [Kay Ousterhout] Index active task sets by stage Id rather than by task set id 19685bb [Imran Rashid] switch to using latestInfo.attemptId, and add comments a5f7c8c [Imran Rashid] remove comment for reviewers 227b40d [Imran Rashid] style 517b6e5 [Imran Rashid] get rid of SparkIllegalStateException b2faef5 [Imran Rashid] faster check for conflicting task sets 6542b42 [Imran Rashid] remove extra stageAttemptId ada7726 [Imran Rashid] reviewer feedback d8eb202 [Imran Rashid] Merge branch 'master' into SPARK-8103 46bc26a [Imran Rashid] more cleanup of debug garbage cb245da [Imran Rashid] finally found the issue ... clean up debug stuff 8c29707 [Imran Rashid] Merge branch 'master' into SPARK-8103 89a59b6 [Imran Rashid] more printlns ... 9601b47 [Imran Rashid] more debug printlns ecb4e7d [Imran Rashid] debugging printlns b6bc248 [Imran Rashid] style 55f4a94 [Imran Rashid] get rid of more random test case since kays tests are clearer 7021d28 [Imran Rashid] update test since listenerBus.waitUntilEmpty now throws an exception instead of returning a boolean 883fe49 [Kay Ousterhout] Unit tests for concurrent stages issue 6e14683 [Imran Rashid] unit test just to make sure we fail fast on concurrent attempts 06a0af6 [Imran Rashid] ignore for jenkins c443def [Imran Rashid] better fix and simpler test case 28d70aa [Imran Rashid] wip on getting a better test case ... a9bf31f [Imran Rashid] wip
rekhajoshm
pushed a commit
that referenced
this pull request
Apr 5, 2016
## What changes were proposed in this pull request? This reopens apache#11836, which was merged but promptly reverted because it introduced flaky Hive tests. ## How was this patch tested? See `CatalogTestCases`, `SessionCatalogSuite` and `HiveContextSuite`. Author: Andrew Or <andrew@databricks.com> Closes apache#11938 from andrewor14/session-catalog-again.
rekhajoshm
pushed a commit
that referenced
this pull request
Jan 21, 2018
## What changes were proposed in this pull request? There were two related fixes regarding `from_json`, `get_json_object` and `json_tuple` ([Fix #1](apache@c8803c0), [Fix #2](apache@86174ea)), but they weren't comprehensive it seems. I wanted to extend those fixes to all the parsers, and add tests for each case. ## How was this patch tested? Regression tests Author: Burak Yavuz <brkyvz@gmail.com> Closes apache#20302 from brkyvz/json-invfix.
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.