Also I fix a bunch of bad output in test cases.
Author: Michael Armbrust <michael@databricks.com>
Closes#4520 from marmbrus/selfJoin and squashes the following commits:
4f4a85c [Michael Armbrust] comments
49c8e26 [Michael Armbrust] fix tests
6fc38de [Michael Armbrust] fix style
55d64b3 [Michael Armbrust] fix dataframe selfjoins
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
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.
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.
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
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
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()
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 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
- as with a `Symbol`
- distinct
- sqlContext.emptyDataFrame
- move add/remove col out of RDDApi section
Author: Michael Armbrust <michael@databricks.com>
Closes#4437 from marmbrus/dfMissingFuncs and squashes the following commits:
2004023 [Michael Armbrust] Add missing functions
Fix Scala code style.
Author: Hung Lin <hung@zoomdata.com>
Closes#4464 from hunglin/SPARK-5472 and squashes the following commits:
ef7a3b3 [Hung Lin] SPARK-5472: fix scala style
An example:
```
year month AVG('Adj Close) MAX('Adj Close)
1980 12 0.503218 0.595103
1981 01 0.523289 0.570307
1982 02 0.436504 0.475256
1983 03 0.410516 0.442194
1984 04 0.450090 0.483521
```
Author: Reynold Xin <rxin@databricks.com>
Closes#4416 from rxin/SPARK-5643 and squashes the following commits:
d0e0d6e [Reynold Xin] [SQL] Minor update to data source and statistics documentation.
269da83 [Reynold Xin] Updated isLocal comment.
2cf3c27 [Reynold Xin] Moved logic into optimizer.
1a04d8b [Reynold Xin] [SPARK-5643][SQL] Add a show method to print the content of a DataFrame in columnar format.
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Author: Cheng Lian <lian@databricks.com>
Closes#4440 from liancheng/parquet-oops and squashes the following commits:
f21ede4 [Cheng Lian] HiveParquetSuite was disabled by mistake, re-enable them.
Sometimes tests were failing due to the creation of multiple `SparkContext`s in a single JVM.
Author: Michael Armbrust <michael@databricks.com>
Closes#4441 from marmbrus/javaTests and squashes the following commits:
657b1e0 [Michael Armbrust] [SQL] Use TestSQLContext in Java tests
When the `GetField` chain(`a.b.c.d.....`) is interrupted by `GetItem` like `a.b[0].c.d....`, then the check of ambiguous reference to fields is broken.
The reason is that: for something like `a.b[0].c.d`, we first parse it to `GetField(GetField(GetItem(Unresolved("a.b"), 0), "c"), "d")`. Then in `LogicalPlan#resolve`, we resolve `"a.b"` and build a `GetField` chain from bottom(the relation). But for the 2 outer `GetFiled`, we have to resolve them in `Analyzer` or do it in `GetField` lazily, check data type of child, search needed field, etc. which is similar to what we have done in `LogicalPlan#resolve`.
So in this PR, the fix is just copy the same logic in `LogicalPlan#resolve` to `Analyzer`, which is simple and quick, but I do suggest introduce `UnresolvedGetFiled` like I explained in https://github.com/apache/spark/pull/2405.
Author: Wenchen Fan <cloud0fan@outlook.com>
Closes#4068 from cloud-fan/simple and squashes the following commits:
a6857b5 [Wenchen Fan] fix import order
8411c40 [Wenchen Fan] use UnresolvedGetField
This PR adds a rule to Analyzer that will add preinsert data type casting and field renaming to the select clause in an `INSERT INTO/OVERWRITE` statement. Also, with the change of this PR, we always invalidate our in memory data cache after inserting into a BaseRelation.
cc marmbrus liancheng
Author: Yin Huai <yhuai@databricks.com>
Closes#4373 from yhuai/insertFollowUp and squashes the following commits:
08237a7 [Yin Huai] Merge remote-tracking branch 'upstream/master' into insertFollowUp
316542e [Yin Huai] Doc update.
c9ccfeb [Yin Huai] Revert a unnecessary change.
84aecc4 [Yin Huai] Address comments.
1951fe1 [Yin Huai] Merge remote-tracking branch 'upstream/master'
c18da34 [Yin Huai] Invalidate cache after insert.
727f21a [Yin Huai] Preinsert casting and renaming.
Make below code works.
```
sql("DESCRIBE test").registerTempTable("describeTest")
sql("SELECT * FROM describeTest").collect()
```
Author: OopsOutOfMemory <victorshengli@126.com>
Author: Sheng, Li <OopsOutOfMemory@users.noreply.github.com>
Closes#4249 from OopsOutOfMemory/desc_query and squashes the following commits:
6fee13d [OopsOutOfMemory] up-to-date
e71430a [Sheng, Li] Update HiveOperatorQueryableSuite.scala
3ba1058 [OopsOutOfMemory] change to default argument
aac7226 [OopsOutOfMemory] Merge branch 'master' into desc_query
68eb6dd [OopsOutOfMemory] Merge branch 'desc_query' of github.com:OopsOutOfMemory/spark into desc_query
354ad71 [OopsOutOfMemory] query describe command
d541a35 [OopsOutOfMemory] refine test suite
e1da481 [OopsOutOfMemory] refine test suite
a780539 [OopsOutOfMemory] Merge branch 'desc_query' of github.com:OopsOutOfMemory/spark into desc_query
0015f82 [OopsOutOfMemory] code style
dd0aaef [OopsOutOfMemory] code style
c7d606d [OopsOutOfMemory] rename test suite
75f2342 [OopsOutOfMemory] refine code and test suite
f942c9b [OopsOutOfMemory] initial
11559ae [OopsOutOfMemory] code style
c5fdecf [OopsOutOfMemory] code style
aeaea5f [OopsOutOfMemory] rename test suite
ac2c3bb [OopsOutOfMemory] refine code and test suite
544573e [OopsOutOfMemory] initial
Author: Reynold Xin <rxin@databricks.com>
Closes#4410 from rxin/df-renameCol and squashes the following commits:
a6a796e [Reynold Xin] [SPARK-5639][SQL] Support DataFrame.renameColumn.
Author: Reynold Xin <rxin@databricks.com>
Closes#4408 from rxin/df-config-eager and squashes the following commits:
c0204cf [Reynold Xin] [SPARK-5638][SQL] Add a config flag to disable eager analysis of DataFrames.
This PR adds three major improvements to Parquet data source:
1. Partition discovery
While reading Parquet files resides in Hive style partition directories, `ParquetRelation2` automatically discovers partitioning information and infers partition column types.
This is also a partial work for [SPARK-5182] [1], which aims to provide first class partitioning support for the data source API. Related code in this PR can be easily extracted to the data source API level in future versions.
1. Schema merging
When enabled, Parquet data source collects schema information from all Parquet part-files and tries to merge them. Exceptions are thrown when incompatible schemas are detected. This feature is controlled by data source option `parquet.mergeSchema`, and is enabled by default.
1. Metastore Parquet table conversion moved to analysis phase
This greatly simplifies the conversion logic. `ParquetConversion` strategy can be removed once the old Parquet implementation is removed in the future.
This version of Parquet data source aims to entirely replace the old Parquet implementation. However, the old version hasn't been removed yet. Users can fall back to the old version by turning off SQL configuration `spark.sql.parquet.useDataSourceApi`.
Other JIRA tickets fixed as side effects in this PR:
- [SPARK-5509] [3]: `EqualTo` now uses a proper `Ordering` to compare binary types.
- [SPARK-3575] [4]: Metastore schema is now preserved and passed to `ParquetRelation2` via data source option `parquet.metastoreSchema`.
TODO:
- [ ] More test cases for partition discovery
- [x] Fix write path after data source write support (#4294) is merged
It turned out to be non-trivial to fall back to old Parquet implementation on the write path when Parquet data source is enabled. Since we're planning to include data source write support in 1.3.0, I simply ignored two test cases involving Parquet insertion for now.
- [ ] Fix outdated comments and documentations
PS: This PR looks big, but more than a half of the changed lines in this PR are trivial changes to test cases. To test Parquet with and without the new data source, almost all Parquet test cases are moved into wrapper driver functions. This introduces hundreds of lines of changes.
[1]: https://issues.apache.org/jira/browse/SPARK-5182
[2]: https://issues.apache.org/jira/browse/SPARK-5528
[3]: https://issues.apache.org/jira/browse/SPARK-5509
[4]: https://issues.apache.org/jira/browse/SPARK-3575
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Author: Cheng Lian <lian@databricks.com>
Closes#4308 from liancheng/parquet-partition-discovery and squashes the following commits:
b6946e6 [Cheng Lian] Fixes MiMA issues, addresses comments
8232e17 [Cheng Lian] Write support for Parquet data source
a49bd28 [Cheng Lian] Fixes spelling typo in trait name "CreateableRelationProvider"
808380f [Cheng Lian] Fixes issues introduced while rebasing
50dd8d1 [Cheng Lian] Addresses @rxin's comment, fixes UDT schema merging
adf2aae [Cheng Lian] Fixes compilation error introduced while rebasing
4e0175f [Cheng Lian] Fixes Python Parquet API, we need Py4J array to call varargs method
0d8ec1d [Cheng Lian] Adds more test cases
b35c8c6 [Cheng Lian] Fixes some typos and outdated comments
dd704fd [Cheng Lian] Fixes Python Parquet API
596c312 [Cheng Lian] Uses switch to control whether use Parquet data source or not
7d0f7a2 [Cheng Lian] Fixes Metastore Parquet table conversion
a1896c7 [Cheng Lian] Fixes all existing Parquet test suites except for ParquetMetastoreSuite
5654c9d [Cheng Lian] Draft version of Parquet partition discovery and schema merging
Hi, rxin marmbrus
I considered your suggestion (in #4127) and now re-write it. This is now up-to-date.
Could u please review it ?
Author: OopsOutOfMemory <victorshengli@126.com>
Closes#4227 from OopsOutOfMemory/describe and squashes the following commits:
053826f [OopsOutOfMemory] describe
SQLQuerySuite test failure:
[info] - simple select (22 milliseconds)
[info] - sorting (722 milliseconds)
[info] - external sorting (728 milliseconds)
[info] - limit (95 milliseconds)
[info] - date row *** FAILED *** (35 milliseconds)
[info] Results do not match for query:
[info] 'Limit 1
[info] 'Project [CAST(2015-01-28, DateType) AS c0#3630]
[info] 'UnresolvedRelation [testData], None
[info]
[info] == Analyzed Plan ==
[info] Limit 1
[info] Project [CAST(2015-01-28, DateType) AS c0#3630]
[info] LogicalRDD [key#0,value#1], MapPartitionsRDD[1] at mapPartitions at ExistingRDD.scala:35
[info]
[info] == Physical Plan ==
[info] Limit 1
[info] Project [16463 AS c0#3630]
[info] PhysicalRDD [key#0,value#1], MapPartitionsRDD[1] at mapPartitions at ExistingRDD.scala:35
[info]
[info] == Results ==
[info] !== Correct Answer - 1 == == Spark Answer - 1 ==
[info] ![2015-01-28] [2015-01-27] (QueryTest.scala:77)
[info] org.scalatest.exceptions.TestFailedException:
[info] at org.scalatest.Assertions$class.newAssertionFailedException(Assertions.scala:495)
[info] at org.scalatest.FunSuite.newAssertionFailedException(FunSuite.scala:1555)
[info] at org.scalatest.Assertions$class.fail(Assertions.scala:1328)
[info] at org.scalatest.FunSuite.fail(FunSuite.scala:1555)
[info] at org.apache.spark.sql.QueryTest.checkAnswer(QueryTest.scala:77)
[info] at org.apache.spark.sql.QueryTest.checkAnswer(QueryTest.scala:95)
[info] at org.apache.spark.sql.SQLQuerySuite$$anonfun$23.apply$mcV$sp(SQLQuerySuite.scala:300)
[info] at org.apache.spark.sql.SQLQuerySuite$$anonfun$23.apply(SQLQuerySuite.scala:300)
[info] at org.apache.spark.sql.SQLQuerySuite$$anonfun$23.apply(SQLQuerySuite.scala:300)
[info] at org.scalatest.Transformer$$anonfun$apply$1.apply$mcV$sp(Transformer.scala:22)
[info] at org.scalatest.OutcomeOf$class.outcomeOf(OutcomeOf.scala:85)
[info] at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104)
[info] at org.scalatest.Transformer.apply(Transformer.scala:22)
[info] at org.scalatest.Transformer.apply(Transformer.scala:20)
[info] at org.scalatest.FunSuiteLike$$anon$1.apply(FunSuiteLike.scala:166)
[info] at org.scalatest.Suite$class.withFixture(Suite.scala:1122)
[info] at org.scalatest.FunSuite.withFixture(FunSuite.scala:1555)
[info] at org.scalatest.FunSuiteLike$class.invokeWithFixture$1(FunSuiteLike.scala:163)
[info] at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
[info] at org.scalatest.FunSuiteLike$$anonfun$runTest$1.apply(FunSuiteLike.scala:175)
[info] at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306)
[info] at org.scalatest.FunSuiteLike$class.runTest(FunSuiteLike.scala:175)
[info] at org.scalatest.FunSuite.runTest(FunSuite.scala:1555)
[info] at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
[info] at org.scalatest.FunSuiteLike$$anonfun$runTests$1.apply(FunSuiteLike.scala:208)
[info] at org.scalatest.SuperEngine$$anonfun$traverseSubNode
Author: wangfei <wangfei1@huawei.com>
Closes#4395 from scwf/SQLQuerySuite and squashes the following commits:
1431a2d [wangfei] fix conflicts
c35fe5e [wangfei] minor fix
01dab3a [wangfei] fix test failure of SQLQuerySuite
1. Added methods to create DataFrames from Seq[Product]
2. Added executeTake to avoid running a Spark job on LocalRelations.
Author: Reynold Xin <rxin@databricks.com>
Closes#4372 from rxin/localDataFrame and squashes the following commits:
f696858 [Reynold Xin] style checker.
839ef7f [Reynold Xin] [SPARK-5602][SQL] Better support for creating DataFrame from local data collection.
Author: Reynold Xin <rxin@databricks.com>
Closes#4379 from rxin/CachedTableSuite and squashes the following commits:
f2b44ce [Reynold Xin] [SQL] Fix flaky CachedTableSuite.
1. Removed LocalHiveContext in Python.
2. Reduced DSL UDF support from 22 arguments to 10 arguments so JavaDoc/ScalaDoc look nicer.
Author: Reynold Xin <rxin@databricks.com>
Closes#4374 from rxin/df-style and squashes the following commits:
e493342 [Reynold Xin] [SQL][DataFrame] Minor cleanup.
...aised in SPARK-4520.
The exception is thrown only for a thrift generated parquet file. The array element schema name is assumed as "array" as per ParquetAvro but for thrift generated parquet files, it is array_name + "_tuple". This leads to missing child of array group type and hence when the parquet rows are being materialized leads to the exception.
Author: Sadhan Sood <sadhan@tellapart.com>
Closes#4148 from sadhan/SPARK-4520 and squashes the following commits:
c5ccde8 [Sadhan Sood] [SPARK-4520] [SQL] This pr fixes the ArrayIndexOutOfBoundsException as raised in SPARK-4520.
Author: Reynold Xin <rxin@databricks.com>
Closes#4376 from rxin/SPARK-5605 and squashes the following commits:
c55f5fa [Reynold Xin] Added a Python test.
f4b8dbb [Reynold Xin] [SPARK-5605][SQL][DF] Allow using String to specify colum name in DSL aggregate functions.
Right now the PR adds few helper methods for java apis. But the issue was opened mainly to get rid of transformations in java api like `.rdd` and `.toJavaRDD` while working with `SQLContext` or `HiveContext`.
Author: kul <kuldeep.bora@gmail.com>
Closes#4243 from kul/master and squashes the following commits:
2390fba [kul] [SPARK-5426][SQL] Add SparkSQL Java API helper methods.
```scala
df.selectExpr("abs(colA)", "colB")
df.filter("age > 21")
```
Author: Reynold Xin <rxin@databricks.com>
Closes#4348 from rxin/SPARK-5579 and squashes the following commits:
2baeef2 [Reynold Xin] Fix Python.
b416372 [Reynold Xin] [SPARK-5579][SQL][DataFrame] Support for project/filter using SQL expressions.
The previous #3732 is reverted due to some test failure.
Have fixed that.
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#4325 from adrian-wang/datenative and squashes the following commits:
096e20d [Daoyuan Wang] fix for mixed timezone
0ed0fdc [Daoyuan Wang] fix test data
a2fdd4e [Daoyuan Wang] getDate
c37832b [Daoyuan Wang] row to catalyst
f0005b1 [Daoyuan Wang] add date in sql parser and java type conversion
024c9a6 [Daoyuan Wang] clean some import order
d6715fc [Daoyuan Wang] refactoring Date as Primitive Int internally
374abd5 [Daoyuan Wang] spark native date type support
SQL in HiveContext, should be case insensitive, however, the following query will fail.
```scala
udf.register("random0", () => { Math.random()})
assert(sql("SELECT RANDOM0() FROM src LIMIT 1").head().getDouble(0) >= 0.0)
```
Author: Cheng Hao <hao.cheng@intel.com>
Closes#4326 from chenghao-intel/udf_case_sensitive and squashes the following commits:
485cf66 [Cheng Hao] Support the case insensitive for UDF
Author: Daoyuan Wang <daoyuan.wang@intel.com>
Closes#3820 from adrian-wang/parquettimestamp and squashes the following commits:
b1e2a0d [Daoyuan Wang] fix for nanos
4dadef1 [Daoyuan Wang] fix wrong read
93f438d [Daoyuan Wang] parquet timestamp support
1. Added Java-friendly version of the expression operators (i.e. gt, geq)
2. Added JavaDoc for most operators
3. Simplified expression operators by having only one version of the function (that accepts Any). Previously we had two methods for each expression operator, one accepting Any and another accepting Column.
4. agg function now accepts varargs of (String, String).
Author: Reynold Xin <rxin@databricks.com>
Closes#4332 from rxin/df-update and squashes the following commits:
ab0aa69 [Reynold Xin] Added Java friendly expression methods. Added JavaDoc. For each expression operator, have only one version of the function (that accepts Any). Previously we had two methods for each expression operator, one accepting Any and another accepting Column.
576d07a [Reynold Xin] random commit.
Author: Reynold Xin <rxin@databricks.com>
Closes#4327 from rxin/schemarddTypeAlias and squashes the following commits:
e5a8ff3 [Reynold Xin] [SPARK-5551][SQL] Create type alias for SchemaRDD for source backward compatibility
They were there mostly for code review and easier check of the API. I don't think they need to be there anymore.
Author: Reynold Xin <rxin@databricks.com>
Closes#4328 from rxin/remove-df-api and squashes the following commits:
723d600 [Reynold Xin] [SQL][DataFrame] Remove DataFrameApi and ColumnApi.
This PR aims to support `INSERT INTO/OVERWRITE TABLE tableName` and `CREATE TABLE tableName AS SELECT` for the data source API (partitioned tables are not supported).
In this PR, I am also adding the support of `IF NOT EXISTS` for our ddl parser. The current semantic of `IF NOT EXISTS` is explained as follows.
* For a `CREATE TEMPORARY TABLE` statement, it does not `IF NOT EXISTS` for now.
* For a `CREATE TABLE` statement (we are creating a metastore table), if there is an existing table having the same name ...
* when `IF NOT EXISTS` clause is used, we will do nothing.
* when `IF NOT EXISTS` clause is not used, the user will see an exception saying the table already exists.
TODOs:
- [x] CTAS support
- [x] Programmatic APIs
- [ ] Python API (another PR)
- [x] More unit tests
- [ ] Documents (another PR)
marmbrus liancheng rxin
Author: Yin Huai <yhuai@databricks.com>
Closes#4294 from yhuai/writeSupport and squashes the following commits:
3db1539 [Yin Huai] save does not take overwrite.
1c98881 [Yin Huai] Fix test.
142372a [Yin Huai] Merge remote-tracking branch 'upstream/master' into writeSupport
34e1bfb [Yin Huai] Address comments.
1682ca6 [Yin Huai] Better support for CTAS statements.
e789d64 [Yin Huai] For the Scala API, let users to use tuples to provide options.
0128065 [Yin Huai] Short hand versions of save and load.
66ebd74 [Yin Huai] Formatting.
9203ec2 [Yin Huai] Merge remote-tracking branch 'upstream/master' into writeSupport
e5d29f2 [Yin Huai] Programmatic APIs.
1a719a5 [Yin Huai] CREATE TEMPORARY TABLE with IF NOT EXISTS is not allowed for now.
909924f [Yin Huai] Add saveAsTable for the data source API to DataFrame.
95a7c71 [Yin Huai] Fix bug when handling IF NOT EXISTS clause in a CREATE TEMPORARY TABLE statement.
d37b19c [Yin Huai] Cheng's comments.
fd6758c [Yin Huai] Use BeforeAndAfterAll.
7880891 [Yin Huai] Support CREATE TABLE AS SELECT STATEMENT and the IF NOT EXISTS clause.
cb85b05 [Yin Huai] Initial write support.
2f91354 [Yin Huai] Make INSERT OVERWRITE/INTO statements consistent between HiveQL and SqlParser.
