Port MinimalWordCount example from OldDoFn to DoFn

Project: http://git-wip-us.apache.org/repos/asf/incubator-beam/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-beam/commit/4ceec0e8
Tree: http://git-wip-us.apache.org/repos/asf/incubator-beam/tree/4ceec0e8
Diff: http://git-wip-us.apache.org/repos/asf/incubator-beam/diff/4ceec0e8

Branch: refs/heads/python-sdk
Commit: 4ceec0e86f1c4e885168957299dbe81c61fbc7e7
Parents: 64481d0
Author: Kenneth Knowles <[email protected]>
Authored: Fri Jul 22 14:28:42 2016 -0700
Committer: Dan Halperin <[email protected]>
Committed: Wed Aug 3 18:25:53 2016 -0700

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 .../java/org/apache/beam/examples/MinimalWordCount.java     | 9 ++++-----
 1 file changed, 4 insertions(+), 5 deletions(-)
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http://git-wip-us.apache.org/repos/asf/incubator-beam/blob/4ceec0e8/examples/java/src/main/java/org/apache/beam/examples/MinimalWordCount.java
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diff --git 
a/examples/java/src/main/java/org/apache/beam/examples/MinimalWordCount.java 
b/examples/java/src/main/java/org/apache/beam/examples/MinimalWordCount.java
index ab0bb6d..df725e3 100644
--- a/examples/java/src/main/java/org/apache/beam/examples/MinimalWordCount.java
+++ b/examples/java/src/main/java/org/apache/beam/examples/MinimalWordCount.java
@@ -22,8 +22,8 @@ import org.apache.beam.sdk.io.TextIO;
 import org.apache.beam.sdk.options.PipelineOptions;
 import org.apache.beam.sdk.options.PipelineOptionsFactory;
 import org.apache.beam.sdk.transforms.Count;
+import org.apache.beam.sdk.transforms.DoFn;
 import org.apache.beam.sdk.transforms.MapElements;
-import org.apache.beam.sdk.transforms.OldDoFn;
 import org.apache.beam.sdk.transforms.ParDo;
 import org.apache.beam.sdk.transforms.SimpleFunction;
 import org.apache.beam.sdk.values.KV;
@@ -89,12 +89,11 @@ public class MinimalWordCount {
     // the input text (a set of Shakespeare's texts).
     p.apply(TextIO.Read.from("gs://dataflow-samples/shakespeare/*"))
      // Concept #2: Apply a ParDo transform to our PCollection of text lines. 
This ParDo invokes a
-     // OldDoFn (defined in-line) on each element that tokenizes the text line 
into individua
-     // words.
+     // DoFn (defined in-line) on each element that tokenizes the text line 
into individual words.
      // The ParDo returns a PCollection<String>, where each element is an 
individual word in
      // Shakespeare's collected texts.
-     .apply("ExtractWords", ParDo.of(new OldDoFn<String, String>() {
-                       @Override
+     .apply("ExtractWords", ParDo.of(new DoFn<String, String>() {
+                       @ProcessElement
                        public void processElement(ProcessContext c) {
                          for (String word : c.element().split("[^a-zA-Z']+")) {
                            if (!word.isEmpty()) {

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