[SQL] enable view test

This is a follow up of #3396 , just add a test to white list.

Author: Daoyuan Wang <daoyuan.wang@intel.com>

Closes #3826 from adrian-wang/viewtest and squashes the following commits:

f105f68 [Daoyuan Wang] enable view test
[SPARK-4975][SQL] Fix HiveInspectorSuite test failure

HiveInspectorSuite test failure：
[info] - wrap / unwrap null, constant null and writables *** FAILED *** (21 milliseconds)
[info] 1 did not equal 0 (HiveInspectorSuite.scala:136)
this is because the origin date(is 3914-10-23) not equals the date returned by ```unwrap```(is 3914-10-22).

Setting TimeZone and Locale fix this.
Another minor change here is rename ```def checkValues(v1: Any, v2: Any): Unit```  to  ```def checkValue(v1: Any, v2: Any): Unit ``` to make the code more clear

Author: scwf <wangfei1@huawei.com>
Author: Fei Wang <wangfei1@huawei.com>

Closes #3814 from scwf/fix-inspectorsuite and squashes the following commits:

d8531ef [Fei Wang] Delete test.log
72b19a9 [scwf] fix HiveInspectorSuite test error
[SPARK-4959] [SQL] Attributes are case sensitive when using a select query from a projection

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

Closes #3796 from chenghao-intel/spark_4959 and squashes the following commits:

3ec08f8 [Cheng Hao] Replace the attribute in comparing its exprId other than itself
[SPARK-4904] [SQL] Remove the unnecessary code change in Generic UDF

Since #3429 has been merged, the bug of wrapping to Writable for HiveGenericUDF is resolved, we can safely remove the foldable checking in `HiveGenericUdf.eval`, which discussed in #2802.

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

Closes #3745 from chenghao-intel/generic_udf and squashes the following commits:

622ad03 [Cheng Hao] Remove the unnecessary code change in Generic UDF
[SPARK-5002][SQL] Using ascending by default when not specify order in order by

spark sql does not support ```SELECT a, b FROM testData2 ORDER BY a desc, b```.

Author: wangfei <wangfei1@huawei.com>

Closes #3838 from scwf/orderby and squashes the following commits:

114b64a [wangfei] remove nouse methods
48145d3 [wangfei] fix order, using asc by default
[Spark-4512] [SQL] Unresolved Attribute Exception in Sort By

It will cause exception while do query like:
SELECT key+key FROM src sort by value;

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

Closes #3386 from chenghao-intel/sort and squashes the following commits:

38c78cc [Cheng Hao] revert the SortPartition in SparkStrategies
7e9dd15 [Cheng Hao] update the typo
fcd1d64 [Cheng Hao] rebase the latest master and update the SortBy unit test
[SPARK-4493][SQL] Tests for IsNull / IsNotNull in the ParquetFilterSuite

This is a follow-up of #3367 and #3644.

At the time #3644 was written, #3367 hadn't been merged yet, thus `IsNull` and `IsNotNull` filters are not covered in the first version of `ParquetFilterSuite`. This PR adds corresponding test cases.

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Author: Cheng Lian <lian@databricks.com>

Closes #3748 from liancheng/test-null-filters and squashes the following commits:

1ab943f [Cheng Lian] IsNull and IsNotNull Parquet filter test case for boolean type
bcd616b [Cheng Lian] Adds Parquet filter pushedown tests for IsNull and IsNotNull
[SPARK-4916][SQL][DOCS]Update SQL programming guide about cache section

`SchemeRDD.cache()` now uses in-memory columnar storage.

Author: luogankun <luogankun@gmail.com>

Closes #3759 from luogankun/SPARK-4916 and squashes the following commits:

7b39864 [luogankun] [SPARK-4916]Update SQL programming guide
6018122 [luogankun] Merge branch 'master' of https://github.com/apache/spark into SPARK-4916
0b93785 [luogankun] [SPARK-4916]Update SQL programming guide
99b2336 [luogankun] [SPARK-4916]Update SQL programming guide
[SPARK-4930][SQL][DOCS]Update SQL programming guide, CACHE TABLE is eager

`CACHE TABLE tbl` is now __eager__ by default not __lazy__

Author: luogankun <luogankun@gmail.com>

Closes #3773 from luogankun/SPARK-4930 and squashes the following commits:

cc17b7d [luogankun] [SPARK-4930][SQL][DOCS]Update SQL programming guide, add CACHE [LAZY] TABLE [AS SELECT] ...
bffe0e8 [luogankun] [SPARK-4930][SQL][DOCS]Update SQL programming guide, CACHE TABLE tbl is eager
[SPARK-4928][SQL] Fix: Operator '>,<,>=,<=' with decimal between different precision report error

case operator  with decimal between different precision, we need change them to unlimited

Author: guowei2 <guowei2@asiainfo.com>

Closes #3767 from guowei2/SPARK-4928 and squashes the following commits:

c6a6e3e [guowei2] fix code style
3214e0a [guowei2] add test case
b4985a2 [guowei2] fix code style
27adf42 [guowei2] Fix: Operation '>,<,>=,<=' with Decimal report error
[SPARK-4937][SQL] Normalizes conjunctions and disjunctions to eliminate common predicates

This PR is a simplified version of several filter optimization rules introduced in #3778 authored by scwf. Newly introduced optimizations include:

1. `a && a` => `a`
2. `a || a` => `a`
3. `(a || b || c || ...) && (a || b || d || ...)` => `a && b && (c || d || ...)`

The 3rd rule is particularly useful for optimizing the following query, which is planned into a cartesian product

```sql
SELECT *
  FROM t1, t2
 WHERE (t1.key = t2.key AND t1.value > 10)
    OR (t1.key = t2.key AND t2.value < 20)
```

to the following one, which is planned into an equi-join:

```sql
SELECT *
  FROM t1, t2
 WHERE t1.key = t2.key
   AND (t1.value > 10 OR t2.value < 20)
```

The example above is quite artificial, but common predicates are likely to appear in real life complex queries (like the one mentioned in #3778).

A difference between this PR and #3778 is that these optimizations are not limited to `Filter`, but are generalized to all logical plan nodes. Thanks to scwf for bringing up these optimizations, and chenghao-intel for the generalization suggestion.

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Author: Cheng Lian <lian@databricks.com>

Closes #3784 from liancheng/normalize-filters and squashes the following commits:

caca560 [Cheng Lian] Moves filter normalization into BooleanSimplification rule
4ab3a58 [Cheng Lian] Fixes test failure, adds more tests
5d54349 [Cheng Lian] Fixes typo in comment
2abbf8e [Cheng Lian] Forgot our sacred Apache licence header...
cf95639 [Cheng Lian] Adds an optimization rule for filter normalization
[SPARK-4386] Improve performance when writing Parquet files

Convert type of RowWriteSupport.attributes to Array.

Analysis of performance for writing very wide tables shows that time is spent predominantly in apply method on  attributes var. Type of attributes previously was LinearSeqOptimized and apply is O(N) which made write O(N squared).

Measurements on 575 column table showed this change made a 6x improvement in write times.

Author: Michael Davies <Michael.BellDavies@gmail.com>

Closes #3843 from MickDavies/SPARK-4386 and squashes the following commits:

892519d [Michael Davies] [SPARK-4386] Improve performance when writing Parquet files
[SPARK-4935][SQL] When hive.cli.print.header configured, spark-sql aborted if passed in a invalid sql

If we passed in a wrong sql like ```abdcdfsfs```, the spark-sql script aborted.

Author: wangfei <wangfei1@huawei.com>
Author: Fei Wang <wangfei1@huawei.com>

Closes #3761 from scwf/patch-10 and squashes the following commits:

46dc344 [Fei Wang] revert console.printError(rc.getErrorMessage())
0330e07 [wangfei] avoid to print error message repeatedly
1614a11 [wangfei] spark-sql abort when passed in a wrong sql
[SPARK-4570][SQL]add BroadcastLeftSemiJoinHash

JIRA issue: [SPARK-4570](https://issues.apache.org/jira/browse/SPARK-4570)
We are planning to create a `BroadcastLeftSemiJoinHash` to implement the broadcast join for `left semijoin`
In left semijoin :
If the size of data from right side is smaller than the user-settable threshold `AUTO_BROADCASTJOIN_THRESHOLD`,
the planner would mark it as the `broadcast` relation and mark the other relation as the stream side. The broadcast table will be broadcasted to all of the executors involved in the join, as a `org.apache.spark.broadcast.Broadcast` object. It will use `joins.BroadcastLeftSemiJoinHash`.,else it will use `joins.LeftSemiJoinHash`.

The benchmark suggests these  made the optimized version 4x faster  when `left semijoin`
<pre><code>
Original:
left semi join : 9288 ms
Optimized:
left semi join : 1963 ms
</code></pre>
The micro benchmark load `data1/kv3.txt` into a normal Hive table.
Benchmark code:
<pre><code>
 def benchmark(f: => Unit) = {
    val begin = System.currentTimeMillis()
    f
    val end = System.currentTimeMillis()
    end - begin
  }
  val sc = new SparkContext(
    new SparkConf()
      .setMaster("local")
      .setAppName(getClass.getSimpleName.stripSuffix("$")))
  val hiveContext = new HiveContext(sc)
  import hiveContext._
  sql("drop table if exists left_table")
  sql("drop table if exists right_table")
  sql( """create table left_table (key int, value string)
       """.stripMargin)
  sql( s"""load data local inpath "/data1/kv3.txt" into table left_table""")
  sql( """create table right_table (key int, value string)
       """.stripMargin)
  sql(
    """
      |from left_table
      |insert overwrite table right_table
      |select left_table.key, left_table.value
    """.stripMargin)

  val leftSimeJoin = sql(
    """select a.key from left_table a
      |left semi join right_table b on a.key = b.key""".stripMargin)
  val leftSemiJoinDuration = benchmark(leftSimeJoin.count())
  println(s"left semi join : $leftSemiJoinDuration ms ")
</code></pre>

Author: wangxiaojing <u9jing@gmail.com>

Closes #3442 from wangxiaojing/SPARK-4570 and squashes the following commits:

a4a43c9 [wangxiaojing] rebase
f103983 [wangxiaojing] change style
fbe4887 [wangxiaojing] change style
ff2e618 [wangxiaojing] add testsuite
1a8da2a [wangxiaojing] add BroadcastLeftSemiJoinHash
SPARK-3955 part 2 [CORE] [HOTFIX] Different versions between jackson-mapper-asl and jackson-core-asl

pwendell https://github.com/apache/spark/commit/2483c1efb6429a7d8a20c96d18ce2fec93a1aff9 didn't actually add a reference to `jackson-core-asl` as intended, but a second redundant reference to `jackson-mapper-asl`, as markhamstra picked up on (https://github.com/apache/spark/pull/3716#issuecomment-68180192)  This just rectifies the typo. I missed it as well; the original PR https://github.com/apache/spark/pull/2818 had it correct and I also didn't see the problem.

Author: Sean Owen <sowen@cloudera.com>

Closes #3829 from srowen/SPARK-3955 and squashes the following commits:

6cfdc4e [Sean Owen] Actually refer to jackson-core-asl
[Spark-4995] Replace Vector.toBreeze.activeIterator with foreachActive

New foreachActive method of vector was introduced by SPARK-4431 as more efficient alternative to vector.toBreeze.activeIterator. There are some parts of codebase where it was not yet replaced.

dbtsai

Author: Jakub Dubovsky <dubovsky@avast.com>

Closes #3846 from james64/SPARK-4995-foreachActive and squashes the following commits:

3eb7e37 [Jakub Dubovsky] Scalastyle fix
32fe6c6 [Jakub Dubovsky] activeIterator removed - IndexedRowMatrix.toBreeze
47a4777 [Jakub Dubovsky] activeIterator removed in RowMatrix.toBreeze
90a7d98 [Jakub Dubovsky] activeIterator removed in MLUtils.saveAsLibSVMFile
[SPARK-4813][Streaming] Fix the issue that ContextWaiter didn't handle 'spurious wakeup'

Used `Condition` to rewrite `ContextWaiter` because it provides a convenient API `awaitNanos` for timeout.

Author: zsxwing <zsxwing@gmail.com>

Closes #3661 from zsxwing/SPARK-4813 and squashes the following commits:

52247f5 [zsxwing] Add explicit unit type
be42bcf [zsxwing] Update as per review suggestion
e06bd4f [zsxwing] Fix the issue that ContextWaiter didn't handle 'spurious wakeup'