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[SPARK-19074][SS][DOCS] Updated Structured Streaming Programming Guide for...
Tathagata Das authored 
[SPARK-19074][SS][DOCS] Updated Structured Streaming Programming Guide for update mode and source/sink options

## What changes were proposed in this pull request?

Updates
- Updated Late Data Handling section by adding a figure for Update Mode. Its more intuitive to explain late data handling with Update Mode, so I added the new figure before the Append Mode figure.
- Updated Output Modes section with Update mode
- Added options for all the sources and sinks

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![image](https://cloud.githubusercontent.com/assets/663212/21665176/f150b224-d29f-11e6-8372-14d32da21db9.png)

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<img width="931" alt="screen shot 2017-01-03 at 6 09 11 pm" src="https://cloud.githubusercontent.com/assets/663212/21629740/d21c9bb8-d1df-11e6-915b-488a59589fa6.png">
<img width="933" alt="screen shot 2017-01-03 at 6 10 00 pm" src="https://cloud.githubusercontent.com/assets/663212/21629749/e22bdabe-d1df-11e6-86d3-7e51d2f28dbc.png">

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![image](https://cloud.githubusercontent.com/assets/663212/21665200/108e18fc-d2a0-11e6-8640-af598cab090b.png)
![image](https://cloud.githubusercontent.com/assets/663212/21665148/cfe414fa-d29f-11e6-9baa-4124ccbab093.png)
![image](https://cloud.githubusercontent.com/assets/663212/21665226/2e8f39e4-d2a0-11e6-85b1-7657e2df5491.png)

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

Closes #16468 from tdas/SPARK-19074.
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catalyst
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hive-thriftserver
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README.md
README.md

Spark SQL

This module provides support for executing relational queries expressed in either SQL or the DataFrame/Dataset API.

Spark SQL is broken up into four subprojects:

  • Catalyst (sql/catalyst) - An implementation-agnostic framework for manipulating trees of relational operators and expressions.
  • Execution (sql/core) - A query planner / execution engine for translating Catalyst's logical query plans into Spark RDDs. This component also includes a new public interface, SQLContext, that allows users to execute SQL or LINQ statements against existing RDDs and Parquet files.
  • Hive Support (sql/hive) - Includes an extension of SQLContext called HiveContext that allows users to write queries using a subset of HiveQL and access data from a Hive Metastore using Hive SerDes. There are also wrappers that allows users to run queries that include Hive UDFs, UDAFs, and UDTFs.
  • HiveServer and CLI support (sql/hive-thriftserver) - Includes support for the SQL CLI (bin/spark-sql) and a HiveServer2 (for JDBC/ODBC) compatible server.