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User defined datatypes #13

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@marmbrus marmbrus commented Oct 8, 2014

Dummy PR so I can comment on this branch.

StructField("features", ArrayType(DoubleType, containsNull = false), nullable = false)))
}

case class LabeledPointUDT() extends UserDefinedType[LabeledPoint](LabeledPointUDT.dataType) {
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It is a little odd to have a case class that takes no arguments. Instead I'd propose we make the convention case objects. I'd also consider making the dataType an abstract member so you can avoid the overhead of either duplicating the schema or having a separate container object as you do here.

I'm also not sure dataType is the best term here, but I'm not sure what is. sqlType? convertedType? something else?

I do like the use of inheritance though :) That's not what I was envisioning from our discussion for some reason, but seems to work out pretty cleanly.

rxin and others added 22 commits October 13, 2014 11:50
… each partition

Author: Reynold Xin <rxin@apache.org>

Closes apache#2727 from rxin/SPARK-3861-broadcast-hash-2 and squashes the following commits:

9c7b1a2 [Reynold Xin] Revert "Reuse CompactBuffer in UniqueKeyHashedRelation."
97626a1 [Reynold Xin] Reuse CompactBuffer in UniqueKeyHashedRelation.
7fcffb5 [Reynold Xin] Make UniqueKeyHashedRelation private[joins].
18eb214 [Reynold Xin] Merge branch 'SPARK-3861-broadcast-hash' into SPARK-3861-broadcast-hash-1
4b9d0c9 [Reynold Xin] UniqueKeyHashedRelation.get should return null if the value is null.
e0ebdd1 [Reynold Xin] Added a test case.
90b58c0 [Reynold Xin] [SPARK-3861] Avoid rebuilding hash tables on each partition
0c0082b [Reynold Xin] Fix line length.
cbc664c [Reynold Xin] Rename join -> joins package.
a070d44 [Reynold Xin] Fix line length in HashJoin
a39be8c [Reynold Xin] [SPARK-3857] Create a join package for various join operators.
In the comment (Line 1083), it says: "Otherwise, interpolate the number of partitions we need to try, but overestimate it by 50%."

`(1.5 * num * partsScanned / buf.size).toInt` is the guess of "num of total partitions needed". In every iteration, we should consider the increment `(1.5 * num * partsScanned / buf.size).toInt - partsScanned`
Existing implementation 'exponentially' grows `partsScanned ` ( roughly: `x_{n+1} >= (1.5 + 1) x_n`)

This could be a performance problem. (unless this is the intended behavior)

Author: yingjieMiao <yingjie@42go.com>

Closes apache#2648 from yingjieMiao/rdd_take and squashes the following commits:

d758218 [yingjieMiao] scala style fix
a8e74bb [yingjieMiao] python style fix
4b6e777 [yingjieMiao] infix operator style fix
4391d3b [yingjieMiao] typo fix.
692f4e6 [yingjieMiao] cap numPartsToTry
c4483dc [yingjieMiao] style fix
1d2c410 [yingjieMiao] also change in rdd.py and AsyncRDD
d31ff7e [yingjieMiao] handle the edge case after 1 iteration
a2aa36b [yingjieMiao] RDD take method: overestimate too much
Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes apache#2747 from adrian-wang/typename and squashes the following commits:

2824216 [Daoyuan Wang] remove redundant typeName
fbaf340 [Daoyuan Wang] typename
Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes apache#2344 from adrian-wang/date and squashes the following commits:

f15074a [Daoyuan Wang] remove outdated lines
2038085 [Daoyuan Wang] update return type
00fe81f [Daoyuan Wang] address lian cheng's comments
0df6ea1 [Daoyuan Wang] rebase and remove simple string
bb1b1ef [Daoyuan Wang] remove failing test
aa96735 [Daoyuan Wang] not cast for same type compare
30bf48b [Daoyuan Wang] resolve rebase conflict
617d1a8 [Daoyuan Wang] add date_udf case to white list
c37e848 [Daoyuan Wang] comment update
5429212 [Daoyuan Wang] change to long
f8f219f [Daoyuan Wang] revise according to Cheng Hao
0e0a4f5 [Daoyuan Wang] minor format
4ddcb92 [Daoyuan Wang] add java api for date
0e3110e [Daoyuan Wang] try to fix timezone issue
17fda35 [Daoyuan Wang] set test list
2dfbb5b [Daoyuan Wang] support date type
…gation

This PR adds a new rule `CheckAggregation` to the analyzer to provide better error message for non-aggregate attributes with aggregation.

Author: Cheng Lian <lian.cs.zju@gmail.com>

Closes apache#2774 from liancheng/non-aggregate-attr and squashes the following commits:

5246004 [Cheng Lian] Passes test suites
bf1878d [Cheng Lian] Adds checks for non-aggregate attributes with aggregation
There are lots of temporal files created by TestHive under the /tmp by default, which may cause potential performance issue for testing. This PR will automatically delete them after test exit.

Author: Cheng Hao <hao.cheng@intel.com>

Closes apache#2393 from chenghao-intel/delete_temp_on_exit and squashes the following commits:

3a6511f [Cheng Hao] Remove the temp dir after text exit
…to prevent from breaking binary-compatibility.

Original problem is [SPARK-3764](https://issues.apache.org/jira/browse/SPARK-3764).

`AppendingParquetOutputFormat` uses a binary-incompatible method `context.getTaskAttemptID`.
This causes binary-incompatible of Spark itself, i.e. if Spark itself is built against hadoop-1, the artifact is for only hadoop-1, and vice versa.

Author: Takuya UESHIN <ueshin@happy-camper.st>

Closes apache#2638 from ueshin/issues/SPARK-3771 and squashes the following commits:

efd3784 [Takuya UESHIN] Add a comment to explain the reason to use reflection.
ec213c1 [Takuya UESHIN] Use reflection to prevent breaking binary-compatibility.
…mn Ids in Hive Conf

Author: Venkata Ramana G <ramana.gollamudihuawei.com>

Author: Venkata Ramana Gollamudi <ramana.gollamudi@huawei.com>

Closes apache#2713 from gvramana/remove_unnecessary_columns and squashes the following commits:

b7ba768 [Venkata Ramana Gollamudi] Added comment and checkstyle fix
6a93459 [Venkata Ramana Gollamudi] cloned hiveconf for each TableScanOperators so that only required columns are added
Adds some functions that were very useful when trying to track down the bug from apache#2656.  This change also changes the tree output for query plans to include the `'` prefix to unresolved nodes and `!` prefix to nodes that refer to non-existent attributes.

Author: Michael Armbrust <michael@databricks.com>

Closes apache#2657 from marmbrus/debugging and squashes the following commits:

654b926 [Michael Armbrust] Clean-up, add tests
763af15 [Michael Armbrust] Add typeChecking debugging functions
8c69303 [Michael Armbrust] Add inputSet, references to QueryPlan. Improve tree string with a prefix to denote invalid or unresolved nodes.
fbeab54 [Michael Armbrust] Better toString, factories for AttributeSet.
SparkSql crashes on selecting tables using custom serde.

Example:
----------------

CREATE EXTERNAL TABLE table_name PARTITIONED BY ( a int) ROW FORMAT 'SERDE "org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer" with serdeproperties("serialization.format"="org.apache.thrift.protocol.TBinaryProtocol","serialization.class"="ser_class") STORED AS SEQUENCEFILE;

The following exception is seen on running a query like 'select * from table_name limit 1':

ERROR CliDriver: org.apache.hadoop.hive.serde2.SerDeException: java.lang.NullPointerException
at org.apache.hadoop.hive.serde2.thrift.ThriftDeserializer.initialize(ThriftDeserializer.java:68)
at org.apache.hadoop.hive.ql.plan.TableDesc.getDeserializer(TableDesc.java:80)
at org.apache.spark.sql.hive.execution.HiveTableScan.addColumnMetadataToConf(HiveTableScan.scala:86)
at org.apache.spark.sql.hive.execution.HiveTableScan.<init>(HiveTableScan.scala:100)
at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$$anonfun$14.apply(HiveStrategies.scala:188)
at org.apache.spark.sql.SQLContext$SparkPlanner.pruneFilterProject(SQLContext.scala:364)
at org.apache.spark.sql.hive.HiveStrategies$HiveTableScans$.apply(HiveStrategies.scala:184)
at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.planLater(QueryPlanner.scala:54)
at org.apache.spark.sql.execution.SparkStrategies$BasicOperators$.apply(SparkStrategies.scala:280)
at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at org.apache.spark.sql.catalyst.planning.QueryPlanner$$anonfun$1.apply(QueryPlanner.scala:58)
at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
at org.apache.spark.sql.catalyst.planning.QueryPlanner.apply(QueryPlanner.scala:59)
at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan$lzycompute(SQLContext.scala:402)
at org.apache.spark.sql.SQLContext$QueryExecution.sparkPlan(SQLContext.scala:400)
at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan$lzycompute(SQLContext.scala:406)
at org.apache.spark.sql.SQLContext$QueryExecution.executedPlan(SQLContext.scala:406)
at org.apache.spark.sql.hive.HiveContext$QueryExecution.stringResult(HiveContext.scala:406)
at org.apache.spark.sql.hive.thriftserver.SparkSQLDriver.run(SparkSQLDriver.scala:59)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.processCmd(SparkSQLCLIDriver.scala:291)
at org.apache.hadoop.hive.cli.CliDriver.processLine(CliDriver.java:413)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver$.main(SparkSQLCLIDriver.scala:226)
at org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver.main(SparkSQLCLIDriver.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(Unknown Source)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(Unknown Source)
at java.lang.reflect.Method.invoke(Unknown Source)
at org.apache.spark.deploy.SparkSubmit$.launch(SparkSubmit.scala:328)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:75)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.NullPointerException

Author: chirag <chirag.aggarwal@guavus.com>

Closes apache#2674 from chiragaggarwal/branch-1.1 and squashes the following commits:

370c31b [chirag] SPARK-3807: Add a test case to validate the fix.
1f26805 [chirag] SPARK-3807: SparkSql does not work for tables created using custom serde (Incorporated Review Comments)
ba4bc0c [chirag] SPARK-3807: SparkSql does not work for tables created using custom serde
5c73b72 [chirag] SPARK-3807: SparkSql does not work for tables created using custom serde

(cherry picked from commit 925e22d)
Signed-off-by: Michael Armbrust <michael@databricks.com>
name should throw exception with name instead of exprId.

Author: Liquan Pei <liquanpei@gmail.com>

Closes apache#2758 from Ishiihara/SparkSQL-bug and squashes the following commits:

aa36a3b [Liquan Pei] small bug
As scwf pointed out, `HiveThriftServer2Suite` isn't effective anymore after the Thrift server was made a daemon. On the other hand, these test suites were known flaky, PR apache#2214 tried to fix them but failed because of unknown Jenkins build error. This PR fixes both sets of issues.

In this PR, instead of watching `start-thriftserver.sh` output, the test code start a `tail` process to watch the log file. A `Thread.sleep` has to be introduced because the `kill` command used in `stop-thriftserver.sh` is not synchronous.

As for the root cause of the mysterious Jenkins build failure. Please refer to [this comment](apache#2675 (comment)) below for details.

----

(Copied from PR description of apache#2214)

This PR fixes two issues of `HiveThriftServer2Suite` and brings 1 enhancement:

1. Although metastore, warehouse directories and listening port are randomly chosen, all test cases share the same configuration. Due to parallel test execution, one of the two test case is doomed to fail
2. We caught any exceptions thrown from a test case and print diagnosis information, but forgot to re-throw the exception...
3. When the forked server process ends prematurely (e.g., fails to start), the `serverRunning` promise is completed with a failure, preventing the test code to keep waiting until timeout.

So, embarrassingly, this test suite was failing continuously for several days but no one had ever noticed it... Fortunately no bugs in the production code were covered under the hood.

Author: Cheng Lian <lian.cs.zju@gmail.com>
Author: wangfei <wangfei1@huawei.com>

Closes apache#2675 from liancheng/fix-thriftserver-tests and squashes the following commits:

1c384b7 [Cheng Lian] Minor code cleanup, restore the logging level hack in TestHive.scala
7805c33 [wangfei]  reset SPARK_TESTING to avoid loading Log4J configurations in testing class paths
af2b5a9 [Cheng Lian] Removes log level hacks from TestHiveContext
d116405 [wangfei] make sure that log4j level is INFO
ee92a82 [Cheng Lian] Relaxes timeout
7fd6757 [Cheng Lian] Fixes test suites in hive-thriftserver
@harishreedharan @pwendell
See JIRA for diagnosis of the problem
https://issues.apache.org/jira/browse/SPARK-3912

The solution was to reimplement it.
1. Find a free port (by binding and releasing a server-scoket), and then use that port
2. Remove thread.sleep()s, instead repeatedly try to create a sender and send data and check whether data was sent. Use eventually() to minimize waiting time.
3. Check whether all the data was received, without caring about batches.

Author: Tathagata Das <tathagata.das1565@gmail.com>

Closes apache#2773 from tdas/flume-test-fix and squashes the following commits:

93cd7f6 [Tathagata Das] Reimplimented FlumeStreamSuite to be more robust.
…one mode

The goal of this patch is to fix the swapped arguments in standalone mode, which was caused by  apache@79e45c9#diff-79391110e9f26657e415aa169a004998R153.

More details can be found in the JIRA: [SPARK-3921](https://issues.apache.org/jira/browse/SPARK-3921)

Tested in Standalone mode, but not in Mesos.

Author: Aaron Davidson <aaron@databricks.com>

Closes apache#2779 from aarondav/fix-standalone and squashes the following commits:

725227a [Aaron Davidson] Fix ExecutorRunnerTest
9d703fe [Aaron Davidson] [SPARK-3921] Fix CoarseGrainedExecutorBackend's arguments for Standalone mode
…or g) sets the worker memory limit to zero

Validate the memory is greater than zero when set from the SPARK_WORKER_MEMORY environment variable or command line without a g or m label.  Added unit tests. If memory is 0 an IllegalStateException is thrown. Updated unit tests to mock environment variables by subclassing SparkConf (tip provided by Josh Rosen).   Updated WorkerArguments to use SparkConf.getenv instead of System.getenv for reading the SPARK_WORKER_MEMORY environment variable.

Author: Bill Bejeck <bbejeck@gmail.com>

Closes apache#2309 from bbejeck/spark-memory-worker and squashes the following commits:

51cf915 [Bill Bejeck] SPARK-3178 - Validate the memory is greater than zero when set from the SPARK_WORKER_MEMORY environment variable or command line without a g or m label.  Added unit tests. If memory is 0 an IllegalStateException is thrown. Updated unit tests to mock environment variables by subclassing SparkConf (tip provided by Josh Rosen).   Updated WorkerArguments to use SparkConf.getenv instead of System.getenv for reading the SPARK_WORKER_MEMORY environment variable.
Modified to ignore not the docs/ directory, but only the docs/_build/ which is the output directory of sphinx build.

Author: Masayoshi TSUZUKI <tsudukim@oss.nttdata.co.jp>

Closes apache#2796 from tsudukim/feature/SPARK-3946 and squashes the following commits:

2bea6a9 [Masayoshi TSUZUKI] [SPARK-3946] gitignore in /python includes wrong directory
…null

Author: shitis <ssaxena.ece@gmail.com>

Closes apache#2795 from Shiti/master and squashes the following commits:

46897d7 [shitis] Using Option Wrapper to convert String with value null to None
…computePrincipalComponents

Avoid overflow in computing n*(n+1)/2 as much as possible; throw explicit error when Gramian computation will fail due to negative array size; warn about large result when computing Gramian too

Author: Sean Owen <sowen@cloudera.com>

Closes apache#2801 from srowen/SPARK-3803 and squashes the following commits:

b4e6d92 [Sean Owen] Avoid overflow in computing n*(n+1)/2 as much as possible; throw explicit error when Gramian computation will fail due to negative array size; warn about large result when computing Gramian too
When _JAVA_OPTIONS environment variable is set, a command "java -version" outputs a message like "Picked up _JAVA_OPTIONS: -Dfile.encoding=UTF-8".
./bin/spark-class knows java version from the first line of "java -version" output, so it mistakes java version with _JAVA_OPTIONS set.

Author: cocoatomo <cocoatomo77@gmail.com>

Closes apache#2725 from cocoatomo/issues/3869-mistake-java-version and squashes the following commits:

f894ebd [cocoatomo] [SPARK-3869] ./bin/spark-class miss Java version with _JAVA_OPTIONS set
… Windows

Modified not to pollute environment variables.
Just moved the main logic into `XXX2.cmd` from `XXX.cmd`, and call `XXX2.cmd` with cmd command in `XXX.cmd`.
`pyspark.cmd` and `spark-class.cmd` are already using the same way, but `spark-shell.cmd`, `spark-submit.cmd` and `/python/docs/make.bat` are not.

Author: Masayoshi TSUZUKI <tsudukim@oss.nttdata.co.jp>

Closes apache#2797 from tsudukim/feature/SPARK-3943 and squashes the following commits:

b397a7d [Masayoshi TSUZUKI] [SPARK-3943] Some scripts bin\*.cmd pollutes environment variables in Windows
…lication

HT to Diana, just proposing an implementation of her suggestion, which I rather agreed with. Is there a second/third for the motion?

Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs.

Author: Sean Owen <sowen@cloudera.com>

Closes apache#2787 from srowen/SPARK-1307 and squashes the following commits:

b5b82e2 [Sean Owen] Refer to "self-contained" rather than "standalone" apps to avoid confusion with standalone deployment mode. And fix placement of reference to this in MLlib docs.
…config file

This is another implementation about apache#1256
cc andrewor14 vanzin

Author: GuoQiang Li <witgo@qq.com>

Closes apache#2379 from witgo/SPARK-2098-new and squashes the following commits:

4ef1cbd [GuoQiang Li] review commit
49ef70e [GuoQiang Li] Refactor getDefaultPropertiesFile
c45d20c [GuoQiang Li] All Spark processes should support spark-defaults.conf, config file
@marmbrus marmbrus closed this Nov 17, 2014
@jkbradley jkbradley deleted the sql-udt branch December 4, 2014 20:30
marmbrus pushed a commit that referenced this pull request May 12, 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
marmbrus pushed a commit that referenced this pull request Jun 12, 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 #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
marmbrus pushed a commit that referenced this pull request Jun 29, 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
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c3f046f [DoingDone9] Merge pull request #1 from apache/master

(cherry picked from commit 4b5e1fe)
Signed-off-by: Michael Armbrust <michael@databricks.com>
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