apache/spark — pull request #84 by berngp (2014-03-05 23:42:06+00:00)
Title: [SPARK-1186] : Enrich the Spark Shell to support additional arguments.

Enrich the Spark Shell functionality to support the following options.

```
Usage: spark-shell [OPTIONS]

OPTIONS:

basic:

-h --help : print this help information.
-c --executor-cores : the maximum number of cores to be used by the spark shell.
-em --executor-memory : num[m|g], the memory used by each executor of spark shell.
-dm --driver-memory : num[m|g], the memory used by the spark shell and driver.

soon to be deprecated:

--cores : please use -c/--executor-cores
--drivermem : please use -dm/--driver-memory

other options:

-mip --master-ip : Spark Master IP/Host Address
-mp --master-port : num, Spark Master Port
-m --master : full string that describes the Spark Master.
-ld --local-dir : absolute path to a local directory that will be use for "scratch" space in Spark.
-dh --driver-host : hostname or IP address for the driver to listen on.
-dp --driver-port : num, port for the driver to listen on.
-uip --ui-port : num, port for your application's dashboard, which shows memory and workload data.
--parallelism : num, default number of tasks to use across the cluster for distributed shuffle operations when not set by user.
--locality-wait : num, number of milliseconds to wait to launch a data-local task before giving up.
--schedule-fair : flag, enables FAIR scheduling between jobs submitted to the same SparkContext.
--max-failures : num, number of individual task failures before giving up on the job.
--log-conf : flag, log the supplied SparkConf as INFO at start of spark context.

e.g.
spark-shell -m 127.0.0.1 -ld /tmp -dh 127.0.0.1 -dp 4001 -uip 4010 --parallelism 10 --locality-wait 500 --schedule-fair --max-failures 100
```

[ticket: SPARK-1186] : Enrich the Spark Shell to support additional arguments.
https://spark-project.atlassian.net/browse/SPARK-1186

Author : bernardo.gomezpalcio@gmail.com
Reviewer : ?
Testing : ?