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Commit 3c015689 authored by Reynold Xin's avatar Reynold Xin
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Update README to include DataFrames and zinc.

Also cut trailing whitespaces.

Author: Reynold Xin <rxin@databricks.com>

Closes #6548 from rxin/readme and squashes the following commits:

630efc3 [Reynold Xin] Update README to include DataFrames and zinc.
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......@@ -3,8 +3,8 @@
Spark is a fast and general cluster computing system for Big Data. It provides
high-level APIs in Scala, Java, and Python, and an optimized engine that
supports general computation graphs for data analysis. It also supports a
rich set of higher-level tools including Spark SQL for SQL and structured
data processing, MLlib for machine learning, GraphX for graph processing,
rich set of higher-level tools including Spark SQL for SQL and DataFrames,
MLlib for machine learning, GraphX for graph processing,
and Spark Streaming for stream processing.
<http://spark.apache.org/>
......@@ -22,7 +22,7 @@ This README file only contains basic setup instructions.
Spark is built using [Apache Maven](http://maven.apache.org/).
To build Spark and its example programs, run:
mvn -DskipTests clean package
build/mvn -DskipTests clean package
(You do not need to do this if you downloaded a pre-built package.)
More detailed documentation is available from the project site, at
......@@ -43,7 +43,7 @@ Try the following command, which should return 1000:
Alternatively, if you prefer Python, you can use the Python shell:
./bin/pyspark
And run the following command, which should also return 1000:
>>> sc.parallelize(range(1000)).count()
......@@ -58,9 +58,9 @@ To run one of them, use `./bin/run-example <class> [params]`. For example:
will run the Pi example locally.
You can set the MASTER environment variable when running examples to submit
examples to a cluster. This can be a mesos:// or spark:// URL,
"yarn-cluster" or "yarn-client" to run on YARN, and "local" to run
locally with one thread, or "local[N]" to run locally with N threads. You
examples to a cluster. This can be a mesos:// or spark:// URL,
"yarn-cluster" or "yarn-client" to run on YARN, and "local" to run
locally with one thread, or "local[N]" to run locally with N threads. You
can also use an abbreviated class name if the class is in the `examples`
package. For instance:
......@@ -75,7 +75,7 @@ can be run using:
./dev/run-tests
Please see the guidance on how to
Please see the guidance on how to
[run tests for a module, or individual tests](https://cwiki.apache.org/confluence/display/SPARK/Useful+Developer+Tools).
## A Note About Hadoop Versions
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