pylucene 3.5.0-3

[pylucene.git] / lucene-java-3.5.0 / lucene / contrib / benchmark / src / java / org / apache / lucene / benchmark / byTask / programmatic / Sample.java

diff --git a/lucene-java-3.5.0/lucene/contrib/benchmark/src/java/org/apache/lucene/benchmark/byTask/programmatic/Sample.java b/lucene-java-3.5.0/lucene/contrib/benchmark/src/java/org/apache/lucene/benchmark/byTask/programmatic/Sample.java
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+package org.apache.lucene.benchmark.byTask.programmatic;
+
+/**
+ * Copyright 2005 The Apache Software Foundation
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import java.io.IOException;
+import java.util.Properties;
+
+import org.apache.lucene.benchmark.byTask.PerfRunData;
+import org.apache.lucene.benchmark.byTask.tasks.AddDocTask;
+import org.apache.lucene.benchmark.byTask.tasks.CloseIndexTask;
+import org.apache.lucene.benchmark.byTask.tasks.CreateIndexTask;
+import org.apache.lucene.benchmark.byTask.tasks.RepSumByNameTask;
+import org.apache.lucene.benchmark.byTask.tasks.TaskSequence;
+import org.apache.lucene.benchmark.byTask.utils.Config;
+
+/**
+ * Sample performance test written programmatically - no algorithm file is needed here.
+ */
+public class Sample {
+
+  /**
+   * @param args
+   * @throws Exception 
+   * @throws IOException 
+   */
+  public static void main(String[] args) throws Exception {
+    Properties p = initProps();
+    Config conf = new Config(p);
+    PerfRunData runData = new PerfRunData(conf);
+    
+    // 1. top sequence
+    TaskSequence top = new TaskSequence(runData,null,null,false); // top level, not parallel
+    
+    // 2. task to create the index
+    CreateIndexTask create = new CreateIndexTask(runData);
+    top.addTask(create);
+    
+    // 3. task seq to add 500 docs (order matters - top to bottom - add seq to top, only then add to seq)
+    TaskSequence seq1 = new TaskSequence(runData,"AddDocs",top,false);
+    seq1.setRepetitions(500);
+    seq1.setNoChildReport();
+    top.addTask(seq1);
+
+    // 4. task to add the doc
+    AddDocTask addDoc = new AddDocTask(runData);
+    //addDoc.setParams("1200"); // doc size limit if supported
+    seq1.addTask(addDoc); // order matters 9see comment above)
+
+    // 5. task to close the index
+    CloseIndexTask close = new CloseIndexTask(runData);
+    top.addTask(close);
+
+    // task to report
+    RepSumByNameTask rep = new RepSumByNameTask(runData);
+    top.addTask(rep);
+
+    // print algorithm
+    System.out.println(top.toString());
+    
+    // execute
+    top.doLogic();
+    top.close();
+  }
+
+  // Sample programmatic settings. Could also read from file.
+  private static Properties initProps() {
+    Properties p = new Properties();
+    p.setProperty ( "task.max.depth.log"  , "3" );
+    p.setProperty ( "max.buffered"        , "buf:10:10:100:100:10:10:100:100" );
+    p.setProperty ( "doc.maker"           , "org.apache.lucene.benchmark.byTask.feeds.ReutersContentSource" );
+    p.setProperty ( "log.step"            , "2000" );
+    p.setProperty ( "doc.delete.step"     , "8" );
+    p.setProperty ( "analyzer"            , "org.apache.lucene.analysis.standard.StandardAnalyzer" );
+    p.setProperty ( "doc.term.vector"     , "false" );
+    p.setProperty ( "directory"           , "FSDirectory" );
+    p.setProperty ( "query.maker"         , "org.apache.lucene.benchmark.byTask.feeds.ReutersQueryMaker" );
+    p.setProperty ( "doc.stored"          , "true" );
+    p.setProperty ( "docs.dir"            , "reuters-out" );
+    p.setProperty ( "compound"            , "cmpnd:true:true:true:true:false:false:false:false" );
+    p.setProperty ( "doc.tokenized"       , "true" );
+    p.setProperty ( "merge.factor"        , "mrg:10:100:10:100:10:100:10:100" );
+    return p;
+  }
+  
+  
+
+}