ACCUMULO-471 document the ability to run run over uncompressed data; …

…allow the input to be split, don't send millions of duplicate metadata table entries

git-svn-id: https://svn.apache.org/repos/asf/incubator/accumulo/branches/1.4@1302537 13f79535-47bb-0310-9956-ffa450edef68

README

@@ -11,7 +11,10 @@
  	1. Accumulo, Hadoop, and ZooKeeper must be installed and running
  	2. One or more wikipedia dump files (http://dumps.wikimedia.org/backup-index.html) placed in an HDFS directory.
 	   You will want to grab the files with the link name of pages-articles.xml.bz2
-
+        3. Though not strictly required, the ingest will go more quickly if the files are decompressed:
+
+            $ bunzip2 < enwiki-*-pages-articles.xml.bz2 | hadoop fs -put - /wikipedia/enwiki-pages-articles.xml
+
 
  	INSTRUCTIONS
  	------------
@@ -70,4 +73,4 @@
 	log4j.logger.org.apache.accumulo.examples.wikisearch.iterator=INFO,A1
 
 	This needs to be propagated to all the tablet server nodes, and accumulo needs to be restarted.
-
+

ingest/src/main/java/org/apache/accumulo/examples/wikisearch/ingest/WikipediaInputFormat.java

@@ -133,10 +133,4 @@ public List<InputSplit> getSplits(JobContext job) throws IOException {
   public RecordReader<LongWritable,Text> createRecordReader(InputSplit split, TaskAttemptContext context) {
     return new AggregatingRecordReader();
   }
-
-  @Override
-  protected boolean isSplitable(JobContext context, Path file) {
-    return false;
-  }
-
 }

ingest/src/main/java/org/apache/accumulo/examples/wikisearch/ingest/WikipediaMapper.java

@@ -119,6 +119,8 @@ public static int getPartitionId(Article article, int numPartitions) throws Ille
     return article.getId() % numPartitions;
   }
 
+  static HashSet<String> metadataSent = new HashSet<String>();
+
   @Override
   protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
     Article article = extractor.extract(new InputStreamReader(new ByteArrayInputStream(value.getBytes()), UTF8));
@@ -137,9 +139,13 @@ protected void map(LongWritable key, Text value, Context context) throws IOExcep
       for (Entry<String,Object> entry : article.getFieldValues().entrySet()) {
         m.put(colfPrefix + article.getId(), entry.getKey() + NULL_BYTE + entry.getValue().toString(), cv, article.getTimestamp(), NULL_VALUE);
         // Create mutations for the metadata table.
-        Mutation mm = new Mutation(entry.getKey());
-        mm.put(METADATA_EVENT_COLUMN_FAMILY, language, cv, article.getTimestamp(), NULL_VALUE);
-        context.write(metadataTableName, mm);
+        String metadataKey = entry.getKey() + METADATA_EVENT_COLUMN_FAMILY + language;
+        if (!metadataSent.contains(metadataKey)) {
+          Mutation mm = new Mutation(entry.getKey());
+          mm.put(METADATA_EVENT_COLUMN_FAMILY, language, cv, article.getTimestamp(), NULL_VALUE);
+          context.write(metadataTableName, mm);
+          metadataSent.add(metadataKey);
+        }
       }
 
       // Tokenize the content
@@ -182,10 +188,13 @@ protected void map(LongWritable key, Text value, Context context) throws IOExcep
         context.write(reverseIndexTableName, grm);
 
         // Create mutations for the metadata table.
-        Mutation mm = new Mutation(index.getKey());
-        mm.put(METADATA_INDEX_COLUMN_FAMILY, language + NULL_BYTE + LcNoDiacriticsNormalizer.class.getName(), cv, article.getTimestamp(), NULL_VALUE);
-        context.write(metadataTableName, mm);
-
+        String metadataKey = index.getKey() + METADATA_INDEX_COLUMN_FAMILY + language;
+        if (!metadataSent.contains(metadataKey)) {
+          Mutation mm = new Mutation(index.getKey());
+          mm.put(METADATA_INDEX_COLUMN_FAMILY, language + NULL_BYTE + LcNoDiacriticsNormalizer.class.getName(), cv, article.getTimestamp(), NULL_VALUE);
+          context.write(metadataTableName, mm);
+          metadataSent.add(metadataKey);
+        }
       }
       // Add the entire text to the document section of the table.
       // row is the partition, colf is 'd', colq is language\0articleid, value is Base64 encoded GZIP'd document