[SPARK-4204][Core][WebUI] Change Utils.exceptionString to contain the inner exceptions and make the error information in Web UI more friendly

This PR fixed `Utils.exceptionString` to output the full exception information. However, the stack trace may become very huge, so I also updated the Web UI to collapse the error information by default (display the first line and clicking `+detail` will display the full info).

Here are the screenshots:

Stages:
![stages](https://cloud.githubusercontent.com/assets/1000778/4882441/66d8cc68-6356-11e4-8346-6318677d9470.png)

Details for one stage:
![stage](https://cloud.githubusercontent.com/assets/1000778/4882513/1311043c-6357-11e4-8804-ca14240a9145.png)

The full information in the gray text field is:
```Java
org.apache.spark.shuffle.FetchFailedException: Connection reset by peer
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$.org$apache$spark$shuffle$hash$BlockStoreShuffleFetcher$$unpackBlock$1(BlockStoreShuffleFetcher.scala:67)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at org.apache.spark.shuffle.hash.BlockStoreShuffleFetcher$$anonfun$3.apply(BlockStoreShuffleFetcher.scala:83)
	at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
	at org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:30)
	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
	at org.apache.spark.util.collection.ExternalAppendOnlyMap.insertAll(ExternalAppendOnlyMap.scala:129)
	at org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$5.apply(CoGroupedRDD.scala:160)
	at org.apache.spark.rdd.CoGroupedRDD$$anonfun$compute$5.apply(CoGroupedRDD.scala:159)
	at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:772)
	at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
	at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
	at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:771)
	at org.apache.spark.rdd.CoGroupedRDD.compute(CoGroupedRDD.scala:159)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
	at org.apache.spark.rdd.MappedValuesRDD.compute(MappedValuesRDD.scala:31)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
	at org.apache.spark.rdd.FlatMappedValuesRDD.compute(FlatMappedValuesRDD.scala:31)
	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:263)
	at org.apache.spark.rdd.RDD.iterator(RDD.scala:230)
	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
	at org.apache.spark.scheduler.Task.run(Task.scala:56)
	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:189)
	at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
	at java.lang.Thread.run(Thread.java:662)
Caused by: java.io.IOException: Connection reset by peer
	at sun.nio.ch.FileDispatcher.read0(Native Method)
	at sun.nio.ch.SocketDispatcher.read(SocketDispatcher.java:21)
	at sun.nio.ch.IOUtil.readIntoNativeBuffer(IOUtil.java:198)
	at sun.nio.ch.IOUtil.read(IOUtil.java:166)
	at sun.nio.ch.SocketChannelImpl.read(SocketChannelImpl.java:245)
	at io.netty.buffer.PooledUnsafeDirectByteBuf.setBytes(PooledUnsafeDirectByteBuf.java:311)
	at io.netty.buffer.AbstractByteBuf.writeBytes(AbstractByteBuf.java:881)
	at io.netty.channel.socket.nio.NioSocketChannel.doReadBytes(NioSocketChannel.java:225)
	at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:119)
	at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511)
	at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
	at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
	at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
	at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116)
	... 1 more
```

/cc aarondav

Author: zsxwing <zsxwing@gmail.com>

Closes #3073 from zsxwing/SPARK-4204 and squashes the following commits:

176d1e3 [zsxwing] Add comments to explain the stack trace difference
ca509d3 [zsxwing] Add fullStackTrace to the constructor of ExceptionFailure
a07057b [zsxwing] Core style fix
dfb0032 [zsxwing] Backward compatibility for old history server
1e50f71 [zsxwing] Update as per review and increase the max height of the stack trace details
94f2566 [zsxwing] Change Utils.exceptionString to contain the inner exceptions and make the error information in Web UI more friendly
[SPARK-4187] [Core] Switch to binary protocol for external shuffle service messages

This PR elimiantes the network package's usage of the Java serializer and replaces it with Encodable, which is a lightweight binary protocol. Each message is preceded by a type id, which will allow us to change messages (by only adding new ones), or to change the format entirely by switching to a special id (such as -1).

This protocol has the advantage over Java that we can guarantee that messages will remain compatible across compiled versions and JVMs, though it does not provide a clean way to do schema migration. In the future, it may be good to use a more heavy-weight serialization format like protobuf, thrift, or avro, but these all add several dependencies which are unnecessary at the present time.

Additionally this unifies the RPC messages of NettyBlockTransferService and ExternalShuffleClient.

Author: Aaron Davidson <aaron@databricks.com>

Closes #3146 from aarondav/free and squashes the following commits:

ed1102a [Aaron Davidson] Remove some unused imports
b8e2a49 [Aaron Davidson] Add appId to test
538f2a3 [Aaron Davidson] [SPARK-4187] [Core] Switch to binary protocol for external shuffle service messages
[SQL][DOC][Minor] Spark SQL Hive now support dynamic partitioning

Author: wangfei <wangfei1@huawei.com>

Closes #3127 from scwf/patch-9 and squashes the following commits:

e39a560 [wangfei] now support dynamic partitioning
[SPARK-4225][SQL] Resorts to SparkContext.version to inspect Spark version

This PR resorts to `SparkContext.version` rather than META-INF/MANIFEST.MF in the assembly jar to inspect Spark version. Currently, when built with Maven, the MANIFEST.MF file in the assembly jar is incorrectly replaced by Guava 15.0 MANIFEST.MF, probably because of the assembly/shading tricks.

Another related PR is #3103, which tries to fix the MANIFEST issue.

Author: Cheng Lian <lian@databricks.com>

Closes #3105 from liancheng/spark-4225 and squashes the following commits:

d9585e1 [Cheng Lian] Resorts to SparkContext.version to inspect Spark version
[SQL] Support ScalaReflection of schema in different universes

Author: Michael Armbrust <michael@databricks.com>

Closes #3096 from marmbrus/reflectionContext and squashes the following commits:

adc221f [Michael Armbrust] Support ScalaReflection of schema in different universes
[SQL] Modify keyword val location according to ordering

'DOUBLE' should be moved before 'ELSE' according to the ordering convension

Author: Jacky Li <jacky.likun@gmail.com>

Closes #3080 from jackylk/patch-5 and squashes the following commits:

3c11df7 [Jacky Li] [SQL] Modify keyword val location according to ordering
[SPARK-4213][SQL] ParquetFilters - No support for LT, LTE, GT, GTE operators

Following description is quoted from JIRA:

When I issue a hql query against a HiveContext where my predicate uses a column of string type with one of LT, LTE, GT, or GTE operator, I get the following error:
scala.MatchError: StringType (of class org.apache.spark.sql.catalyst.types.StringType$)
Looking at the code in org.apache.spark.sql.parquet.ParquetFilters, StringType is absent from the corresponding functions for creating these filters.
To reproduce, in a Hive 0.13.1 shell, I created the following table (at a specified DB):

    create table sparkbug (
    id int,
    event string
    ) stored as parquet;

Insert some sample data:

    insert into table sparkbug select 1, '2011-06-18' from <some table> limit 1;
    insert into table sparkbug select 2, '2012-01-01' from <some table> limit 1;

Launch a spark shell and create a HiveContext to the metastore where the table above is located.

    import org.apache.spark.sql._
    import org.apache.spark.sql.SQLContext
    import org.apache.spark.sql.hive.HiveContext
    val hc = new HiveContext(sc)
    hc.setConf("spark.sql.shuffle.partitions", "10")
    hc.setConf("spark.sql.hive.convertMetastoreParquet", "true")
    hc.setConf("spark.sql.parquet.compression.codec", "snappy")
    import hc._
    hc.hql("select * from <db>.sparkbug where event >= '2011-12-01'")

A scala.MatchError will appear in the output.

Author: Kousuke Saruta <sarutak@oss.nttdata.co.jp>

Closes #3083 from sarutak/SPARK-4213 and squashes the following commits:

4ab6e56 [Kousuke Saruta] WIP
b6890c6 [Kousuke Saruta] Merge branch 'master' of git://git.apache.org/spark into SPARK-4213
9a1fae7 [Kousuke Saruta] Fixed ParquetFilters so that compare Strings
[SPARK-4272] [SQL] Add more unwrapper functions for primitive type in TableReader

Currently, the data "unwrap" only support couple of primitive types, not all, it will not cause exception, but may get some performance in table scanning for the type like binary, date, timestamp, decimal etc.

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

Closes #3136 from chenghao-intel/table_reader and squashes the following commits:

fffb729 [Cheng Hao] fix bug for retrieving the timestamp object
e9c97a4 [Cheng Hao] Add more unwrapper functions for primitive type in TableReader
[SPARK-4270][SQL] Fix Cast from DateType to DecimalType.

`Cast` from `DateType` to `DecimalType` throws `NullPointerException`.

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

Closes #3134 from ueshin/issues/SPARK-4270 and squashes the following commits:

7394e4b [Takuya UESHIN] Fix Cast from DateType to DecimalType.
[SPARK-4203][SQL] Partition directories in random order when inserting into hive table

When doing an insert into hive table with partitions the folders written to the file system are in a random order instead of the order defined in table creation. Seems that the loadPartition method in Hive.java has a Map<String,String> parameter but expects to be called with a map that has a defined ordering such as LinkedHashMap. Working on a test but having intillij problems

Author: Matthew Taylor <matthew.t@tbfe.net>

Closes #3076 from tbfenet/partition_dir_order_problem and squashes the following commits:

f1b9a52 [Matthew Taylor] Comment format fix
bca709f [Matthew Taylor] review changes
0e50f6b [Matthew Taylor] test fix
99f1a31 [Matthew Taylor] partition ordering fix
369e618 [Matthew Taylor] partition ordering fix
[SPARK-4292][SQL] Result set iterator bug in JDBC/ODBC

select * from src, get the wrong result set as follows:
```
...
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 309  | val_309  |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
| 97   | val_97   |
...

```

Author: wangfei <wangfei1@huawei.com>

Closes #3149 from scwf/SPARK-4292 and squashes the following commits:

1574a43 [wangfei] using result.collect
8b2d845 [wangfei] adding test
f64eddf [wangfei] result set iter bug
Update JavaCustomReceiver.java

数组下标越界

Author: xiao321 <1042460381@qq.com>

Closes #3153 from xiao321/patch-1 and squashes the following commits:

0ed17b5 [xiao321] Update JavaCustomReceiver.java
MAINTENANCE: Automated closing of pull requests.

This commit exists to close the following pull requests on Github:

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Closes #2798 (close requested by 'andrewor14')
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