Looking at the code, I believe this remark about `take(n)` computing partitions on the driver is no longer correct. Apologies if I'm wrong.
This came up in http://stackoverflow.com/q/28436559/3318517.
Author: Daniel Darabos <darabos.daniel@gmail.com>
Closes#4533 from darabos/patch-2 and squashes the following commits:
cc80f3a [Daniel Darabos] Remove outdated remark about take(n).
1. DataFrame.renameColumn
2. DataFrame.show() and _repr_
3. Use simpleString() rather than jsonValue in DataFrame.dtypes
4. createDataFrame from local Python data, including pandas.DataFrame
Author: Davies Liu <davies@databricks.com>
Closes#4528 from davies/df3 and squashes the following commits:
014acea [Davies Liu] fix typo
6ba526e [Davies Liu] fix tests
46f5f95 [Davies Liu] address comments
6cbc154 [Davies Liu] dataframe.show() and improve dtypes
6f94f25 [Davies Liu] create DataFrame from local Python data
This just adds a deprecation message. It's intended for backporting to branch 1.3 but can go in master too, to be followed by another PR that removes it for 1.4.
Author: Sean Owen <sowen@cloudera.com>
Closes#4516 from srowen/SPARK-5727.1 and squashes the following commits:
d48989f [Sean Owen] Refer to Spark 1.4
6c1c8b3 [Sean Owen] Deprecate Debian packaging
Use temp dir for ActiveMQ database
Author: Sean Owen <sowen@cloudera.com>
Closes#4517 from srowen/SPARK-5728 and squashes the following commits:
1d3aeb8 [Sean Owen] Use temp dir for ActiveMQ database
Author: cody koeninger <cody@koeninger.org>
Closes#4511 from koeninger/kafkaRdd-leader-to-broker and squashes the following commits:
f7151d4 [cody koeninger] [SPARK-4964] test refactoring
6f8680b [cody koeninger] [SPARK-4964] add test of the scala api for KafkaUtils.createRDD
f81e016 [cody koeninger] [SPARK-4964] leave KafkaStreamSuite host and port as private
5173f3f [cody koeninger] [SPARK-4964] test the Java variations of createRDD
e9cece4 [cody koeninger] [SPARK-4964] pass leaders as a map to ensure 1 leader per TopicPartition
The `initialState` of LDA performs several RDD operations that looks redundant. This pr tries to simplify these operations.
Author: Liang-Chi Hsieh <viirya@gmail.com>
Closes#4501 from viirya/sim_lda and squashes the following commits:
4870fe4 [Liang-Chi Hsieh] For comments.
9af1487 [Liang-Chi Hsieh] Refactor initial step of LDA to remove redundant operations.
Also took the chance to fixed up some style ...
Author: Reynold Xin <rxin@databricks.com>
Closes#4489 from rxin/SPARK-5702 and squashes the following commits:
74f42e3 [Reynold Xin] [SPARK-5702][SQL] Allow short names for built-in data sources.
If the user specifies a bad REST URL, the server will throw an NPE instead of propagating the error back. This is because the default `ErrorServlet` has the wrong prefix. This is a one line fix. I am will add more comprehensive tests in a separate patch.
Author: Andrew Or <andrew@databricks.com>
Closes#4518 from andrewor14/rest-npe and squashes the following commits:
16b15bc [Andrew Or] Correct ErrorServlet context prefix
Previously, SparkHadoopWriter always committed its tasks without question. The problem is that when speculation is enabled sometimes this can result in multiple tasks committing their output to the same file. Even though an HDFS-writing task may be re-launched due to speculation, the original task is not killed and may eventually commit as well.
This can cause strange race conditions where multiple tasks that commit interfere with each other, with the result being that some partition files are actually lost entirely. For more context on these kinds of scenarios, see SPARK-4879.
In Hadoop MapReduce jobs, the application master is a central coordinator that authorizes whether or not any given task can commit. Before a task commits its output, it queries the application master as to whether or not such a commit is safe, and the application master does bookkeeping as tasks are requesting commits. Duplicate tasks that would write to files that were already written to from other tasks are prohibited from committing.
This patch emulates that functionality - the crucial missing component was a central arbitrator, which is now a module called the OutputCommitCoordinator. The coordinator lives on the driver and the executors can obtain a reference to this actor and request its permission to commit. As tasks commit and are reported as completed successfully or unsuccessfully by the DAGScheduler, the commit coordinator is informed of the task completion events as well to update its internal state.
Future work includes more rigorous unit testing and extra optimizations should this patch cause a performance regression. It is unclear what the overall cost of communicating back to the driver on every hadoop-committing task will be. It's also important for those hitting this issue to backport this onto previous version of Spark because the bug has serious consequences, that is, data is lost.
Currently, the OutputCommitCoordinator is only used when `spark.speculation` is true. It can be disabled by setting `spark.hadoop.outputCommitCoordination.enabled=false` in SparkConf.
This patch is an updated version of #4155 (by mccheah), which in turn was an updated version of this PR.
Closes#4155.
Author: mcheah <mcheah@palantir.com>
Author: Josh Rosen <joshrosen@databricks.com>
Closes#4066 from JoshRosen/SPARK-4879-sparkhadoopwriter-fix and squashes the following commits:
658116b [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4879-sparkhadoopwriter-fix
ed783b2 [Josh Rosen] Address Andrew’s feedback.
e7be65a [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4879-sparkhadoopwriter-fix
14861ea [Josh Rosen] splitID -> partitionID in a few places
ed8b554 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4879-sparkhadoopwriter-fix
48d5c1c [Josh Rosen] Roll back copiesRunning change in TaskSetManager
3969f5f [Josh Rosen] Re-enable guarding of commit coordination with spark.speculation setting.
ede7590 [Josh Rosen] Add test to ensure that a job that denies all commits cannot complete successfully.
97da5fe [Josh Rosen] Use actor only for RPC; call methods directly in DAGScheduler.
f582574 [Josh Rosen] Some cleanup in OutputCommitCoordinatorSuite
a7c0e29 [Josh Rosen] Create fake TaskInfo using dummy fields instead of Mockito.
997b41b [Josh Rosen] Roll back unnecessary DAGSchedulerSingleThreadedProcessLoop refactoring:
459310a [Josh Rosen] Roll back TaskSetManager changes that broke other tests.
dd00b7c [Josh Rosen] Move CommitDeniedException to executors package; remove `@DeveloperAPI` annotation.
c79df98 [Josh Rosen] Some misc. code style + doc changes:
f7d69c5 [Josh Rosen] Merge remote-tracking branch 'origin/master' into SPARK-4879-sparkhadoopwriter-fix
92e6dc9 [Josh Rosen] Bug fix: use task ID instead of StageID to index into authorizedCommitters.
b344bad [Josh Rosen] (Temporarily) re-enable “always coordinate” for testing purposes.
0aec91e [Josh Rosen] Only coordinate when speculation is enabled; add configuration option to bypass new coordination.
594e41a [mcheah] Fixing a scalastyle error
60a47f4 [mcheah] Writing proper unit test for OutputCommitCoordinator and fixing bugs.
d63f63f [mcheah] Fixing compiler error
9fe6495 [mcheah] Fixing scalastyle
1df2a91 [mcheah] Throwing exception if SparkHadoopWriter commit denied
d431144 [mcheah] Using more concurrency to process OutputCommitCoordinator requests.
c334255 [mcheah] Properly handling messages that could be sent after actor shutdown.
8d5a091 [mcheah] Was mistakenly serializing the accumulator in test suite.
9c6a4fa [mcheah] More OutputCommitCoordinator cleanup on stop()
78eb1b5 [mcheah] Better OutputCommitCoordinatorActor stopping; simpler canCommit
83de900 [mcheah] Making the OutputCommitCoordinatorMessage serializable
abc7db4 [mcheah] TaskInfo can't be null in DAGSchedulerSuite
f135a8e [mcheah] Moving the output commit coordinator from class into method.
1c2b219 [mcheah] Renaming oudated names for test function classes
66a71cd [mcheah] Removing whitespace modifications
6b543ba [mcheah] Removing redundant accumulator in unit test
c9decc6 [mcheah] Scalastyle fixes
bc80770 [mcheah] Unit tests for OutputCommitCoordinator
6e6f748 [mcheah] [SPARK-4879] Use the Spark driver to authorize Hadoop commits.
Do not recursively strip out projects. Only strip the first level project.
```scala
df("colA") + df("colB").as("colC")
```
Previously, the above would construct an invalid plan.
Author: Reynold Xin <rxin@databricks.com>
Closes#4519 from rxin/computability and squashes the following commits:
87ff763 [Reynold Xin] Code review feedback.
015c4fc [Reynold Xin] [SQL][DataFrame] Fix column computability.
Author: Cheng Hao <hao.cheng@intel.com>
Closes#4496 from chenghao-intel/df_explain and squashes the following commits:
552aa58 [Cheng Hao] Add explain support for DF
Deprecate inferSchema() and applySchema(), use createDataFrame() instead, which could take an optional `schema` to create an DataFrame from an RDD. The `schema` could be StructType or list of names of columns.
Author: Davies Liu <davies@databricks.com>
Closes#4498 from davies/create and squashes the following commits:
08469c1 [Davies Liu] remove Scala/Java API for now
c80a7a9 [Davies Liu] fix hive test
d1bd8f2 [Davies Liu] cleanup applySchema
9526e97 [Davies Liu] createDataFrame from RDD with columns
Author: Cheng Hao <hao.cheng@intel.com>
Closes#4468 from chenghao-intel/json and squashes the following commits:
aeb7801 [Cheng Hao] avoid multiple json generator created
Also start from the bottom so we show the first error instead of the top error.
Author: Michael Armbrust <michael@databricks.com>
Closes#4439 from marmbrus/analysisException and squashes the following commits:
45862a0 [Michael Armbrust] fix hive test
a773bba [Michael Armbrust] Merge remote-tracking branch 'origin/master' into analysisException
f88079f [Michael Armbrust] update more cases
fede90a [Michael Armbrust] newline
fbf4bc3 [Michael Armbrust] move to sql
6235db4 [Michael Armbrust] [SQL] Add an exception for analysis errors.
Hadoop has a feature that allows users to impersonate other users
when submitting applications or talking to HDFS, for example. These
impersonated users are referred generally as "proxy users".
Services such as Oozie or Hive use this feature to run applications
as the requesting user.
This change makes SparkSubmit accept a new command line option to
run the application as a proxy user. It also fixes the plumbing
of the user name through the UI (and a couple of other places) to
refer to the correct user running the application, which can be
different than `sys.props("user.name")` even without proxies (e.g.
when using kerberos).
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#4405 from vanzin/SPARK-5493 and squashes the following commits:
df82427 [Marcelo Vanzin] Clarify the reason for the special exception handling.
05bfc08 [Marcelo Vanzin] Remove unneeded annotation.
4840de9 [Marcelo Vanzin] Review feedback.
8af06ff [Marcelo Vanzin] Fix usage string.
2e4fa8f [Marcelo Vanzin] Merge branch 'master' into SPARK-5493
b6c947d [Marcelo Vanzin] Merge branch 'master' into SPARK-5493
0540d38 [Marcelo Vanzin] [SPARK-5493] [core] Add option to impersonate user.
Users will not need to put `Options()` in a CREATE TABLE statement when there is not option provided.
Author: Yin Huai <yhuai@databricks.com>
Closes#4515 from yhuai/makeOptionsOptional and squashes the following commits:
1a898d3 [Yin Huai] Make options optional.
Author: Sheng, Li <OopsOutOfMemory@users.noreply.github.com>
Author: OopsOutOfMemory <victorshengli@126.com>
Closes#4508 from OopsOutOfMemory/cmt and squashes the following commits:
d8a68c6 [Sheng, Li] Update ddl.scala
f24aeaf [OopsOutOfMemory] correct style
When we run driver as a service, and for each time we run job we only call sc.stop, then will not delete tmp dir create by HttpFileServer and SparkEnv, it will be deleted until the service process exit, so we need to delete these tmp dirs when sc is stop directly.
Author: Sephiroth-Lin <linwzhong@gmail.com>
Closes#4412 from Sephiroth-Lin/bug-fix-master-01 and squashes the following commits:
fbbc785 [Sephiroth-Lin] using an interpolated string
b968e14 [Sephiroth-Lin] using an interpolated string
4edf394 [Sephiroth-Lin] rename the variable and update comment
1339c96 [Sephiroth-Lin] add a member to store the reference of tmp dir
b2018a5 [Sephiroth-Lin] check sparkFilesDir before delete
f48a3c6 [Sephiroth-Lin] don't check sparkFilesDir, check executorId
dd9686e [Sephiroth-Lin] format code
b38e0f0 [Sephiroth-Lin] add dir check before delete
d7ccc64 [Sephiroth-Lin] Change log level
1d70926 [Sephiroth-Lin] update comment
e2a2b1b [Sephiroth-Lin] update comment
aeac518 [Sephiroth-Lin] Delete tmp dir when sc is stop
c0d5b28 [Sephiroth-Lin] Delete tmp dir when sc is stop
Corrected the logic with ShortestPaths so that the calculation will run forward rather than backwards. Output before looked like:
```scala
import org.apache.spark.graphx._
val g = Graph(sc.makeRDD(Array((1L,""), (2L,""), (3L,""))), sc.makeRDD(Array(Edge(1L,2L,""), Edge(2L,3L,""))))
lib.ShortestPaths.run(g,Array(3)).vertices.collect
// res0: Array[(org.apache.spark.graphx.VertexId, org.apache.spark.graphx.lib.ShortestPaths.SPMap)] = Array((1,Map()), (3,Map(3 -> 0)), (2,Map()))
lib.ShortestPaths.run(g,Array(1)).vertices.collect
// res1: Array[(org.apache.spark.graphx.VertexId, org.apache.spark.graphx.lib.ShortestPaths.SPMap)] = Array((1,Map(1 -> 0)), (3,Map(1 -> 2)), (2,Map(1 -> 1)))
```
And new output after the changes looks like:
```scala
import org.apache.spark.graphx._
val g = Graph(sc.makeRDD(Array((1L,""), (2L,""), (3L,""))), sc.makeRDD(Array(Edge(1L,2L,""), Edge(2L,3L,""))))
lib.ShortestPaths.run(g,Array(3)).vertices.collect
// res0: Array[(org.apache.spark.graphx.VertexId, org.apache.spark.graphx.lib.ShortestPaths.SPMap)] = Array((1,Map(3 -> 2)), (2,Map(3 -> 1)), (3,Map(3 -> 0)))
lib.ShortestPaths.run(g,Array(1)).vertices.collect
// res1: Array[(org.apache.spark.graphx.VertexId, org.apache.spark.graphx.lib.ShortestPaths.SPMap)] = Array((1,Map(1 -> 0)), (2,Map()), (3,Map()))
```
Author: Brennon York <brennon.york@capitalone.com>
Closes#4478 from brennonyork/SPARK-5343 and squashes the following commits:
aa57f83 [Brennon York] updated to set ShortestPaths to run 'forward' rather than 'backward'
Following discussion in the Jira.
Author: MechCoder <manojkumarsivaraj334@gmail.com>
Closes#4459 from MechCoder/sparse_gmm and squashes the following commits:
1b18dab [MechCoder] Rewrite syr for sparse matrices
e579041 [MechCoder] Add test for covariance matrix
5cb370b [MechCoder] Separate tests for sparse data
5e096bd [MechCoder] Alphabetize and correct error message
e180f4c [MechCoder] [SPARK-5021] Gaussian Mixture now supports Sparse Input
show current roles
Author: OopsOutOfMemory <victorshengli@126.com>
Closes#4471 from OopsOutOfMemory/show_current_role and squashes the following commits:
1c6b210 [OopsOutOfMemory] add show current roles
Author: Michael Armbrust <michael@databricks.com>
Closes#4436 from marmbrus/dfToString and squashes the following commits:
8a3c35f [Michael Armbrust] Merge remote-tracking branch 'origin/master' into dfToString
b72a81b [Michael Armbrust] add toString
Show the region for the different messages displayed by get_existing_cluster(): The search, found and error messages.
Author: Miguel Peralvo <miguel.peralvo@gmail.com>
Closes#4457 from MiguelPeralvo/patch-2 and squashes the following commits:
a5514c8 [Miguel Peralvo] Update spark_ec2.py
0a837b0 [Miguel Peralvo] Update spark_ec2.py
3923f36 [Miguel Peralvo] Update spark_ec2.py
4ecd9f9 [Miguel Peralvo] [SPARK-5668] Display region in spark_ec2.py get_existing_cluster()
flowing sql get URISyntaxException:
```
create table sc as select *
from (select '2011-01-11', '2011-01-11+14:18:26' from src tablesample (1 rows)
union all
select '2011-01-11', '2011-01-11+15:18:26' from src tablesample (1 rows)
union all
select '2011-01-11', '2011-01-11+16:18:26' from src tablesample (1 rows) ) s;
create table sc_part (key string) partitioned by (ts string) stored as rcfile;
set hive.exec.dynamic.partition=true;
set hive.exec.dynamic.partition.mode=nonstrict;
insert overwrite table sc_part partition(ts) select * from sc;
```
java.net.URISyntaxException: Relative path in absolute URI: ts=2011-01-11+15:18:26
at org.apache.hadoop.fs.Path.initialize(Path.java:206)
at org.apache.hadoop.fs.Path.<init>(Path.java:172)
at org.apache.hadoop.fs.Path.<init>(Path.java:94)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.org$apache$spark$sql$hive$SparkHiveDynamicPartitionWriterContainer$$newWriter$1(hiveWriterContainers.scala:230)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer$$anonfun$getLocalFileWriter$1.apply(hiveWriterContainers.scala:243)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer$$anonfun$getLocalFileWriter$1.apply(hiveWriterContainers.scala:243)
at scala.collection.mutable.MapLike$class.getOrElseUpdate(MapLike.scala:189)
at scala.collection.mutable.AbstractMap.getOrElseUpdate(Map.scala:91)
at org.apache.spark.sql.hive.SparkHiveDynamicPartitionWriterContainer.getLocalFileWriter(hiveWriterContainers.scala:243)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:113)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1$1.apply(InsertIntoHiveTable.scala:105)
at scala.collection.Iterator$class.foreach(Iterator.scala:727)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable.org$apache$spark$sql$hive$execution$InsertIntoHiveTable$$writeToFile$1(InsertIntoHiveTable.scala:105)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:87)
at org.apache.spark.sql.hive.execution.InsertIntoHiveTable$$anonfun$saveAsHiveFile$3.apply(InsertIntoHiveTable.scala:87)
at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
at org.apache.spark.scheduler.Task.run(Task.scala:64)
at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:194)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1110)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:603)
at java.lang.Thread.run(Thread.java:722)
Caused by: java.net.URISyntaxException: Relative path in absolute URI: ts=2011-01-11+15:18:26
at java.net.URI.checkPath(URI.java:1804)
at java.net.URI.<init>(URI.java:752)
at org.apache.hadoop.fs.Path.initialize(Path.java:203)
Author: wangfei <wangfei1@huawei.com>
Author: Fei Wang <wangfei1@huawei.com>
Closes#4368 from scwf/SPARK-5592 and squashes the following commits:
aa55ef4 [Fei Wang] comments addressed
f8f8bb1 [wangfei] added test case
f24624f [wangfei] Merge branch 'master' of https://github.com/apache/spark into SPARK-5592
9998177 [wangfei] added test case
ea81daf [wangfei] fix URISyntaxException
This takes advantage of the changes made in SPARK-4337 to cancel pending requests to YARN when they are no longer needed.
Each time the timer in `ExecutorAllocationManager` strikes, we compute `maxNumNeededExecutors`, the maximum number of executors we could fill with the current load. This is calculated as the total number of running and pending tasks divided by the number of cores per executor. If `maxNumNeededExecutors` is below the total number of running and pending executors, we call `requestTotalExecutors(maxNumNeededExecutors)` to let the cluster manager know that it should cancel any pending requests above this amount. If not, `maxNumNeededExecutors` is just used as a bound in alongside the configured `maxExecutors` to limit the number of new requests.
The patch modifies the API exposed by `ExecutorAllocationClient` for requesting additional executors by moving from `requestExecutors` to `requestTotalExecutors`. This makes the communication between the `ExecutorAllocationManager` and the `YarnAllocator` easier to reason about and removes some state that needed to be kept in the `CoarseGrainedSchedulerBackend`. I think an argument can be made that this makes for a less attractive user-facing API in `SparkContext`, but I'm having trouble envisioning situations where a user would want to use either of these APIs.
This will likely break some tests, but I wanted to get feedback on the approach before adding tests and polishing.
Author: Sandy Ryza <sandy@cloudera.com>
Closes#4168 from sryza/sandy-spark-4136 and squashes the following commits:
37ce77d [Sandy Ryza] Warn on negative number
cd3b2ff [Sandy Ryza] SPARK-4136
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#4502 from adrian-wang/utf8 and squashes the following commits:
4d7b0ee [Daoyuan Wang] remove useless import
606f981 [Daoyuan Wang] support TOK_CHARSETLITERAL in HiveQl
Addresses [SPARK-1805](https://issues.apache.org/jira/browse/SPARK-1805), though doesn't resolve it completely.
Error out quickly if the user asks for the master and slaves to have different AMI virtualization types, since we don't currently support that.
In addition to that, we print warnings if the inputted instance types are not recognized, though I would prefer if we errored out. Elsewhere in the script it seems [we allow unrecognized instance types](5de14cc276/ec2/spark_ec2.py (L331)), though I think we should remove that.
It's messy, but it should serve us until we enhance spark-ec2 to support clusters with mixed virtualization types.
Author: Nicholas Chammas <nicholas.chammas@gmail.com>
Closes#4455 from nchammas/ec2-master-slave-different-virtualization and squashes the following commits:
ce28609 [Nicholas Chammas] fix style
b0adba0 [Nicholas Chammas] validate input instance types
This is a follow-up PR for #4454 and #4484. JetS3t 0.9.2 contains a log4j.properties file inside the artifact and breaks our tests (see SPARK-5696). This is fixed in 0.9.3.
This PR also reverts hotfix changes introduced in #4484. The reason is that asking users to configure HiveThriftServer2 logging configurations in hive-log4j.properties can be unintuitive.
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Author: Cheng Lian <lian@databricks.com>
Closes#4499 from liancheng/spark-5700 and squashes the following commits:
4f020c7 [Cheng Lian] Bumps jets3t to 0.9.3 for hadoop-2.3 and hadoop-2.4 profiles
This is a completion of https://github.com/apache/spark/pull/4033 which was withdrawn for some reason.
Author: Sean Owen <sowen@cloudera.com>
Closes#4470 from srowen/SPARK-5239.2 and squashes the following commits:
2398bde [Sean Owen] Avoid use of JDBC4-only isClosed()
Changes
- Added example
- Added a critical unit test that verifies that offset ranges can be recovered through checkpoints
Might add more changes.
Author: Tathagata Das <tathagata.das1565@gmail.com>
Closes#4384 from tdas/new-kafka-fixes and squashes the following commits:
7c931c3 [Tathagata Das] Small update
3ed9284 [Tathagata Das] updated scala doc
83d0402 [Tathagata Das] Added JavaDirectKafkaWordCount example.
26df23c [Tathagata Das] Updates based on PR comments from Cody
e4abf69 [Tathagata Das] Scala doc improvements and stuff.
bb65232 [Tathagata Das] Fixed test bug and refactored KafkaStreamSuite
50f2b56 [Tathagata Das] Added Java API and added more Scala and Java unit tests. Also updated docs.
e73589c [Tathagata Das] Minor changes.
4986784 [Tathagata Das] Added unit test to kafka offset recovery
6a91cab [Tathagata Das] Added example
This is based on #4444 from jkbradley with the following changes:
1. Node schema updated to
~~~
treeId: int
nodeId: Int
predict/
|- predict: Double
|- prob: Double
impurity: Double
isLeaf: Boolean
split/
|- feature: Int
|- threshold: Double
|- featureType: Int
|- categories: Array[Double]
leftNodeId: Integer
rightNodeId: Integer
infoGain: Double
~~~
2. Some refactor of the implementation.
Closes#4444.
Author: Joseph K. Bradley <joseph@databricks.com>
Author: Xiangrui Meng <meng@databricks.com>
Closes#4493 from mengxr/SPARK-5597 and squashes the following commits:
75e3bb6 [Xiangrui Meng] fix style
2b0033d [Xiangrui Meng] update tree export schema and refactor the implementation
45873a2 [Joseph K. Bradley] org imports
1d4c264 [Joseph K. Bradley] Added save/load for tree ensembles
dcdbf85 [Joseph K. Bradley] added save/load for decision tree but need to generalize it to ensembles
Author: Cheng Hao <hao.cheng@intel.com>
Closes#4494 from chenghao-intel/tiny_code_change and squashes the following commits:
450dfe7 [Cheng Hao] remove the duplicated code
The updateShuffleReadMetrics method in TaskMetrics (called by the executor heartbeater) will currently always add a ShuffleReadMetrics to TaskMetrics (with values set to 0), even when the task didn't read any shuffle data. ShuffleReadMetrics should only be added if the task reads shuffle data.
Author: Kay Ousterhout <kayousterhout@gmail.com>
Closes#4488 from kayousterhout/SPARK-5701 and squashes the following commits:
673ed58 [Kay Ousterhout] SPARK-5701: Only set ShuffleReadMetrics when task has shuffle deps
If you have a `SparkListenerJobEnd` event without the corresponding `SparkListenerJobStart` event, then `JobProgressListener` will create an empty `JobUIData` with an empty `stageIds` list. However, later in `AllJobsPage` we call `stageIds.max`. If this is empty, it will throw an exception.
This crashed my history server.
Author: Andrew Or <andrew@databricks.com>
Closes#4490 from andrewor14/jobs-page-max and squashes the following commits:
21797d3 [Andrew Or] Check nonEmpty before calling max
Yarn's config option `spark.yarn.user.classpath.first` does not work the same way as
`spark.files.userClassPathFirst`; Yarn's version is a lot more dangerous, in that it
modifies the system classpath, instead of restricting the changes to the user's class
loader. So this change implements the behavior of the latter for Yarn, and deprecates
the more dangerous choice.
To be able to achieve feature-parity, I also implemented the option for drivers (the existing
option only applies to executors). So now there are two options, each controlling whether
to apply userClassPathFirst to the driver or executors. The old option was deprecated, and
aliased to the new one (`spark.executor.userClassPathFirst`).
The existing "child-first" class loader also had to be fixed. It didn't handle resources, and it
was also doing some things that ended up causing JVM errors depending on how things
were being called.
Author: Marcelo Vanzin <vanzin@cloudera.com>
Closes#3233 from vanzin/SPARK-2996 and squashes the following commits:
9cf9cf1 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1499e2 [Marcelo Vanzin] Remove SPARK_HOME propagation.
fa7df88 [Marcelo Vanzin] Remove 'test.resource' file, create it dynamically.
a8c69f1 [Marcelo Vanzin] Review feedback.
cabf962 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a1b8d7e [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3f768e3 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
2ce3c7a [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6d6be [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
70d4044 [Marcelo Vanzin] Fix pyspark/yarn-cluster test.
0fe7777 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
0e6ef19 [Marcelo Vanzin] Move class loaders around and make names more meaninful.
fe970a7 [Marcelo Vanzin] Review feedback.
25d4fed [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
3cb6498 [Marcelo Vanzin] Call the right loadClass() method on the parent.
fbb8ab5 [Marcelo Vanzin] Add locking in loadClass() to avoid deadlocks.
2e6c4b7 [Marcelo Vanzin] Mention new setting in documentation.
b6497f9 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
a10f379 [Marcelo Vanzin] Some feedback.
3730151 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
f513871 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
44010b6 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
7b57cba [Marcelo Vanzin] Remove now outdated message.
5304d64 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
35949c8 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
54e1a98 [Marcelo Vanzin] Merge branch 'master' into SPARK-2996
d1273b2 [Marcelo Vanzin] Add test file to rat exclude.
fa1aafa [Marcelo Vanzin] Remove write check on user jars.
89d8072 [Marcelo Vanzin] Cleanups.
a963ea3 [Marcelo Vanzin] Implement spark.driver.userClassPathFirst for standalone cluster mode.
50afa5f [Marcelo Vanzin] Fix Yarn executor command line.
7d14397 [Marcelo Vanzin] Register user jars in executor up front.
7f8603c [Marcelo Vanzin] Fix yarn-cluster mode without userClassPathFirst.
20373f5 [Marcelo Vanzin] Fix ClientBaseSuite.
55c88fa [Marcelo Vanzin] Run all Yarn integration tests via spark-submit.
0b64d92 [Marcelo Vanzin] Add deprecation warning to yarn option.
4a84d87 [Marcelo Vanzin] Fix the child-first class loader.
d0394b8 [Marcelo Vanzin] Add "deprecated configs" to SparkConf.
46d8cf2 [Marcelo Vanzin] Update doc with new option, change name to "userClassPathFirst".
a314f2d [Marcelo Vanzin] Enable driver class path isolation in SparkSubmit.
91f7e54 [Marcelo Vanzin] [yarn] Enable executor class path isolation.
a853e74 [Marcelo Vanzin] Re-work CoarseGrainedExecutorBackend command line arguments.
89522ef [Marcelo Vanzin] Add class path isolation support for Yarn cluster mode.
Fix ARPACK error code mapping, at least. It's not yet clear whether the error is what we expect from ARPACK. If it isn't, not sure if that's to be treated as an MLlib or Breeze issue.
Author: Sean Owen <sowen@cloudera.com>
Closes#4485 from srowen/SPARK-4900 and squashes the following commits:
7355aa1 [Sean Owen] Fix ARPACK error code mapping
Add a config option "spark.rddDebug.enable" to check whether to print DAG info. When "spark.rddDebug.enable" is true, it will print information about DAG in the log.
Author: KaiXinXiaoLei <huleilei1@huawei.com>
Closes#4257 from KaiXinXiaoLei/DAGprint and squashes the following commits:
d9fe42e [KaiXinXiaoLei] change log info
c27ee76 [KaiXinXiaoLei] change log info
83c2b32 [KaiXinXiaoLei] change config option
adcb14f [KaiXinXiaoLei] change the file.
f4e7b9e [KaiXinXiaoLei] add a option to print DAG
Otherwise we might crash the ApplicationMaster. Why? Please see https://issues.apache.org/jira/browse/SPARK-5698.
sryza I believe this is also relevant in your patch #4168.
Author: Andrew Or <andrew@databricks.com>
Closes#4483 from andrewor14/da-negative and squashes the following commits:
53ed955 [Andrew Or] Throw IllegalArgumentException instead
0e89fd5 [Andrew Or] Check against negative requests
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Author: Cheng Lian <lian@databricks.com>
Closes#4486 from liancheng/spark-5699 and squashes the following commits:
538001d [Cheng Lian] Runs hive-thriftserver tests whenever SQL code is modified
make hivecontext support "alter ... unset tblproperties("key")"
like :
alter view viewName unset tblproperties("k")
alter table tableName unset tblproperties("k")
Author: DoingDone9 <799203320@qq.com>
Closes#4424 from DoingDone9/unset and squashes the following commits:
6dd8bee [DoingDone9] support "alter ... unset tblproperties("key")"
~~The rule is simple: If you want `a.b` work, then `a` must be some level of nested array of struct(level 0 means just a StructType). And the result of `a.b` is same level of nested array of b-type.
An optimization is: the resolve chain looks like `Attribute -> GetItem -> GetField -> GetField ...`, so we could transmit the nested array information between `GetItem` and `GetField` to avoid repeated computation of `innerDataType` and `containsNullList` of that nested array.~~
marmbrus Could you take a look?
to evaluate `a.b`, if `a` is array of struct, then `a.b` means get field `b` on each element of `a`, and return a result of array.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#2405 from cloud-fan/nested-array-dot and squashes the following commits:
08a228a [Wenchen Fan] support dot notation on array of struct
Now in Catalyst's rules, predicates can not be pushed through "Generate" nodes. Further more, partition pruning in HiveTableScan can not be applied on those queries involves "Generate". This makes such queries very inefficient. In practice, it finds patterns like
```scala
Filter(predicate, Generate(generator, _, _, _, grandChild))
```
and splits the predicate into 2 parts by referencing the generated column from Generate node or not. And a new Filter will be created for those conjuncts can be pushed beneath Generate node. If nothing left for the original Filter, it will be removed.
For example, physical plan for query
```sql
select len, bk
from s_server lateral view explode(len_arr) len_table as len
where len > 5 and day = '20150102';
```
where 'day' is a partition column in metastore is like this in current version of Spark SQL:
> Project [len, bk]
>
> Filter ((len > "5") && "(day = "20150102")")
>
> Generate explode(len_arr), true, false
>
> HiveTableScan [bk, len_arr, day], (MetastoreRelation default, s_server, None), None
But theoretically the plan should be like this
> Project [len, bk]
>
> Filter (len > "5")
>
> Generate explode(len_arr), true, false
>
> HiveTableScan [bk, len_arr, day], (MetastoreRelation default, s_server, None), Some(day = "20150102")
Where partition pruning predicates can be pushed to HiveTableScan nodes.
Author: Lu Yan <luyan02@baidu.com>
Closes#4394 from ianluyan/ppd and squashes the following commits:
a67dce9 [Lu Yan] Fix English grammar.
7cea911 [Lu Yan] Revised based on @marmbrus's opinions
ffc59fc [Lu Yan] [SPARK-5614][SQL] Predicate pushdown through Generate.
