[beam-site] 02/03: Update quickstart-java.md

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commit 580b7ebb8152b4e56ef566b23beae85792c00c4d
Author: Rafael Fernandez <rfern...@google.com>
AuthorDate: Fri Jul 20 15:14:08 2018 -0700

    Update quickstart-java.md
---
 src/get-started/quickstart-java.md | 81 +++++++++++++++++++++++++++-----------
 1 file changed, 59 insertions(+), 22 deletions(-)

diff --git a/src/get-started/quickstart-java.md 
b/src/get-started/quickstart-java.md
index 4d22401..8c3cd93 100644
--- a/src/get-started/quickstart-java.md
+++ b/src/get-started/quickstart-java.md
@@ -41,7 +41,7 @@ This Quickstart will walk you through executing your first 
Beam pipeline to run
 
 The easiest way to get a copy of the WordCount pipeline is to use the 
following command to generate a simple Maven project that contains Beam's 
WordCount examples and builds against the most recent Beam release:
 
-{:.unix}
+{:.shell-unix}
 ```
 $ mvn archetype:generate \
       -DarchetypeGroupId=org.apache.beam \
@@ -53,7 +53,8 @@ $ mvn archetype:generate \
       -Dpackage=org.apache.beam.examples \
       -DinteractiveMode=false
 ```
-{:.powershell}
+
+{:.shell-PowerShell}
 ```
 PS> mvn archetype:generate `
  -D archetypeGroupId=org.apache.beam `
@@ -69,7 +70,7 @@ PS> mvn archetype:generate `
 
 This will create a directory `word-count-beam` that contains a simple 
`pom.xml` and a series of example pipelines that count words in text files.
 
-{:.unix}
+{:.shell-unix}
 ```
 $ cd word-count-beam/
 
@@ -80,7 +81,8 @@ $ ls src/main/java/org/apache/beam/examples/
 DebuggingWordCount.java        WindowedWordCount.java  common
 MinimalWordCount.java  WordCount.java
 ```
-{:.powershell}
+
+{:.shell-PowerShell}
 ```
 PS> cd .\word-count-beam
 
@@ -123,6 +125,8 @@ After you've chosen which runner you'd like to use:
     1. Choosing input files and an output location are accessible on the 
chosen runner. (For example, you can't access a local file if you are running 
the pipeline on an external cluster.)
 1.  Run your first WordCount pipeline.
 
+For Unix shells:
+
 {:.runner-direct}
 ```
 $ mvn compile exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount \
@@ -178,6 +182,57 @@ $ mvn compile exec:java 
-Dexec.mainClass=org.apache.beam.examples.WordCount \
 $ mvn compile exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount \
      -Dexec.args="--inputFile=pom.xml --output=/tmp/counts 
--runner=SamzaRunner" -Psamza-runner
 ```
+For Windows PowerShell:
+
+{:.runner-direct}
+```
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--inputFile=pom.xml --output=counts" -P direct-runner
+```
+
+{:.runner-apex}
+```
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--inputFile=pom.xml --output=counts --runner=ApexRunner" -P 
apex-runner
+```
+
+{:.runner-flink-local}
+```
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--runner=FlinkRunner --inputFile=pom.xml --output=counts" -P 
flink-runner
+```
+
+{:.runner-flink-cluster}
+```
+PS> mvn package exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--runner=FlinkRunner --flinkMaster=<flink master> 
--filesToStage=.\target\word-count-beam-bundled-0.1.jar `
+               --inputFile=C:\path\to\quickstart\pom.xml 
--output=C:\tmp\counts" -P flink-runner
+
+You can monitor the running job by visiting the Flink dashboard at 
http://<flink master>:8081
+```
+
+{:.runner-spark}
+```
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--runner=SparkRunner --inputFile=pom.xml --output=counts" -P 
spark-runner
+```
+
+{:.runner-dataflow}
+```
+Make sure you complete the setup steps at 
https://beam.apache.org/documentation/runners/dataflow/#setup
+
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+ -D exec.args="--runner=DataflowRunner --project=<your-gcp-project> `
+               --gcpTempLocation=gs://<your-gcs-bucket>/tmp `
+               --inputFile=gs://apache-beam-samples/shakespeare/* 
--output=gs://<your-gcs-bucket>/counts" `
+ -P dataflow-runner
+```
+
+{:.runner-samza-local}
+```
+PS> mvn compile exec:java -D exec.mainClass=org.apache.beam.examples.WordCount 
`
+     -D exec.args="--inputFile=pom.xml --output=/tmp/counts 
--runner=SamzaRunner" -P samza-runner
+```
 
 ## Inspect the results
 
@@ -188,11 +243,6 @@ Once the pipeline has completed, you can view the output. 
You'll notice that the
 $ ls counts*
 ```
 
-{:.runner-direct-powershell}
-```
-PS> dir counts*
-```
-
 {:.runner-apex}
 ```
 $ ls counts*
@@ -238,19 +288,6 @@ Foundation: 1
 ...
 ```
 
-{:.runner-direct-powershell}
-```
-PS> cat counts*
-the: 28
-executions: 2
-available: 5
-project: 6
-clients: 4
-to: 11
-Dependencies: 1
-...
-```
-
 {:.runner-apex}
 ```
 $ cat counts*