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From bil...@apache.org
Subject svn commit: r1486280 [3/4] - in /accumulo/site/trunk/content: 1.5/ 1.5/apidocs/ 1.5/apidocs/org/ 1.5/apidocs/org/apache/ 1.5/apidocs/org/apache/accumulo/ 1.5/apidocs/org/apache/accumulo/core/ 1.5/apidocs/org/apache/accumulo/core/bloomfilter/ 1.5/apidoc...
Date Sat, 25 May 2013 02:56:12 GMT
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+Title: Apache Accumulo Batch Writing and Scanning Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This tutorial uses the following Java classes, which can be found in org.apache.accumulo.examples.simple.client in the simple-examples module:
+
+ * SequentialBatchWriter.java - writes mutations with sequential rows and random values
+ * RandomBatchWriter.java - used by SequentialBatchWriter to generate random values
+ * RandomBatchScanner.java - reads random rows and verifies their values
+
+This is an example of how to use the batch writer and batch scanner. To compile
+the example, run maven and copy the produced jar into the accumulo lib dir.
+This is already done in the tar distribution. 
+
+Below are commands that add 10000 entries to accumulo and then do 100 random
+queries.  The write command generates random 50 byte values. 
+
+Be sure to use the name of your instance (given as instance here) and the appropriate 
+list of zookeeper nodes (given as zookeepers here).
+
+Before you run this, you must ensure that the user you are running has the
+"exampleVis" authorization. (you can set this in the shell with "setauths -u username -s exampleVis")
+
+    $ ./bin/accumulo shell -u root -e "setauths -u username -s exampleVis"
+
+You must also create the table, batchtest1, ahead of time. (In the shell, use "createtable batchtest1")
+
+    $ ./bin/accumulo shell -u username -e "createtable batchtest1"
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.SequentialBatchWriter -i instance -z zookeepers -u username -p password -t batchtest1 --start 0 --num 10000 --size 50 --batchMemory 20M --batchLatency 500 --batchThreads 20 --vis exampleVis
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchScanner -i instance -z zookeepers -u username -p password -t batchtest1 --num 100 --min 0 --max 10000 --size 50 --scanThreads 20 --vis exampleVis
+    07 11:33:11,103 [client.CountingVerifyingReceiver] INFO : Generating 100 random queries...
+    07 11:33:11,112 [client.CountingVerifyingReceiver] INFO : finished
+    07 11:33:11,260 [client.CountingVerifyingReceiver] INFO : 694.44 lookups/sec   0.14 secs
+    
+    07 11:33:11,260 [client.CountingVerifyingReceiver] INFO : num results : 100
+    
+    07 11:33:11,364 [client.CountingVerifyingReceiver] INFO : Generating 100 random queries...
+    07 11:33:11,370 [client.CountingVerifyingReceiver] INFO : finished
+    07 11:33:11,416 [client.CountingVerifyingReceiver] INFO : 2173.91 lookups/sec   0.05 secs
+    
+    07 11:33:11,416 [client.CountingVerifyingReceiver] INFO : num results : 100

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+Title: Apache Accumulo Bloom Filter Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example shows how to create a table with bloom filters enabled.  It also
+shows how bloom filters increase query performance when looking for values that
+do not exist in a table.
+
+Below table named bloom_test is created and bloom filters are enabled.
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> setauths -u username -s exampleVis
+    username@instance> createtable bloom_test
+    username@instance bloom_test> config -t bloom_test -s table.bloom.enabled=true
+    username@instance bloom_test> exit
+
+Below 1 million random values are inserted into accumulo.  The randomly
+generated rows range between 0 and 1 billion.  The random number generator is
+initialized with the seed 7.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 7 -i instance -z zookeepers -u username -p password -t bloom_test --num 1000000 -min 0 -max 1000000000 -valueSize 50 -batchMemory 2M -batchLatency 60s -batchThreads 3 --vis exampleVis
+
+Below the table is flushed:
+
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test -w'
+    05 10:40:06,069 [shell.Shell] INFO : Flush of table bloom_test completed.
+
+After the flush completes, 500 random queries are done against the table.  The
+same seed is used to generate the queries, therefore everything is found in the
+table.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchScanner --seed 7 -i instance -z zookeepers -u username -p password -t bloom_test --num 500 --min 0 --max 1000000000 --size 50 -batchThreads 20 --vis exampleVis
+    Generating 500 random queries...finished
+    96.19 lookups/sec   5.20 secs
+    num results : 500
+    Generating 500 random queries...finished
+    102.35 lookups/sec   4.89 secs
+    num results : 500
+
+Below another 500 queries are performed, using a different seed which results
+in nothing being found.  In this case the lookups are much faster because of
+the bloom filters.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchScanner --seed 8 -i instance -z zookeepers -u username -p password -t bloom_test --num 500 --min 0 --max 1000000000 --size 50 -batchThreads 20 -auths exampleVis
+    Generating 500 random queries...finished
+    2212.39 lookups/sec   0.23 secs
+    num results : 0
+    Did not find 500 rows
+    Generating 500 random queries...finished
+    4464.29 lookups/sec   0.11 secs
+    num results : 0
+    Did not find 500 rows
+
+********************************************************************************
+
+Bloom filters can also speed up lookups for entries that exist.  In accumulo
+data is divided into tablets and each tablet has multiple map files. Every
+lookup in accumulo goes to a specific tablet where a lookup is done on each
+map file in the tablet.  So if a tablet has three map files, lookup performance
+can be three times slower than a tablet with one map file.  However if the map
+files contain unique sets of data, then bloom filters can help eliminate map
+files that do not contain the row being looked up.  To illustrate this two
+identical tables were created using the following process.  One table had bloom
+filters, the other did not.  Also the major compaction ratio was increased to
+prevent the files from being compacted into one file.
+
+ * Insert 1 million entries using  RandomBatchWriter with a seed of 7
+ * Flush the table using the shell
+ * Insert 1 million entries using  RandomBatchWriter with a seed of 8
+ * Flush the table using the shell
+ * Insert 1 million entries using  RandomBatchWriter with a seed of 9
+ * Flush the table using the shell
+
+After following the above steps, each table will have a tablet with three map
+files.  Flushing the table after each batch of inserts will create a map file.
+Each map file will contain 1 million entries generated with a different seed.
+This is assuming that Accumulo is configured with enough memory to hold 1
+million inserts.  If not, then more map files will be created. 
+
+The commands for creating the first table without bloom filters are below.
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> setauths -u username -s exampleVis
+    username@instance> createtable bloom_test1
+    username@instance bloom_test1> config -t bloom_test1 -s table.compaction.major.ratio=7
+    username@instance bloom_test1> exit
+
+    $ ARGS="-i instance -z zookeepers -u username -p password -t bloom_test1 --num 1000000 --min 0 --max 1000000000 --size 50 --batchMemory 2M --batchLatency 60s --batchThreads 3 --auths exampleVis"
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 7 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test1 -w'
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 8 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test1 -w'
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 9 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test1 -w'
+
+The commands for creating the second table with bloom filers are below.
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> setauths -u username -s exampleVis
+    username@instance> createtable bloom_test2
+    username@instance bloom_test2> config -t bloom_test2 -s table.compaction.major.ratio=7
+    username@instance bloom_test2> config -t bloom_test2 -s table.bloom.enabled=true
+    username@instance bloom_test2> exit
+
+    $ ARGS="-i instance -z zookeepers -u username -p password -t bloom_test2 --num 1000000 --min 0 --max 1000000000 --size 50 --batchMemory 2M --batchLatency 60s --batchThreads 3 --auths exampleVis"
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 7 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test2 -w'
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 8 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test2 -w'
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchWriter --seed 9 $ARGS
+    $ ./bin/accumulo shell -u username -p password -e 'flush -t bloom_test2 -w'
+
+Below 500 lookups are done against the table without bloom filters using random
+NG seed 7.  Even though only one map file will likely contain entries for this
+seed, all map files will be interrogated.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchScanner --seed 7 -i instance -z zookeepers -u username -p password -t bloom_test1 --num 500 --min 0 --max 1000000000 --size 50 --scanThreads 20 --auths exampleVis
+    Generating 500 random queries...finished
+    35.09 lookups/sec  14.25 secs
+    num results : 500
+    Generating 500 random queries...finished
+    35.33 lookups/sec  14.15 secs
+    num results : 500
+
+Below the same lookups are done against the table with bloom filters.  The
+lookups were 2.86 times faster because only one map file was used, even though three
+map files existed.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.client.RandomBatchScanner --seed 7 -i instance -z zookeepers -u username -p password -t bloom_test2 --num 500 --min 0 --max 1000000000 --size 50 -scanThreads 20 --auths exampleVis
+    Generating 500 random queries...finished
+    99.03 lookups/sec   5.05 secs
+    num results : 500
+    Generating 500 random queries...finished
+    101.15 lookups/sec   4.94 secs
+    num results : 500
+
+You can verify the table has three files by looking in HDFS.  To look in HDFS
+you will need the table ID, because this is used in HDFS instead of the table
+name.  The following command will show table ids.
+
+    $ ./bin/accumulo shell -u username -p password -e 'tables -l'
+    !METADATA       =>         !0
+    bloom_test1     =>         o7
+    bloom_test2     =>         o8
+    trace           =>          1
+
+So the table id for bloom_test2 is o8.  The command below shows what files this
+table has in HDFS.  This assumes Accumulo is at the default location in HDFS. 
+
+    $ hadoop fs -lsr /accumulo/tables/o8
+    drwxr-xr-x   - username supergroup          0 2012-01-10 14:02 /accumulo/tables/o8/default_tablet
+    -rw-r--r--   3 username supergroup   52672650 2012-01-10 14:01 /accumulo/tables/o8/default_tablet/F00000dj.rf
+    -rw-r--r--   3 username supergroup   52436176 2012-01-10 14:01 /accumulo/tables/o8/default_tablet/F00000dk.rf
+    -rw-r--r--   3 username supergroup   52850173 2012-01-10 14:02 /accumulo/tables/o8/default_tablet/F00000dl.rf
+
+Running the rfile-info command shows that one of the files has a bloom filter
+and its 1.5MB.
+
+    $ ./bin/accumulo rfile-info /accumulo/tables/o8/default_tablet/F00000dj.rf
+    Locality group         : <DEFAULT>
+	Start block          : 0
+	Num   blocks         : 752
+	Index level 0        : 43,598 bytes  1 blocks
+	First key            : row_0000001169 foo:1 [exampleVis] 1326222052539 false
+	Last key             : row_0999999421 foo:1 [exampleVis] 1326222052058 false
+	Num entries          : 999,536
+	Column families      : [foo]
+
+    Meta block     : BCFile.index
+      Raw size             : 4 bytes
+      Compressed size      : 12 bytes
+      Compression type     : gz
+
+    Meta block     : RFile.index
+      Raw size             : 43,696 bytes
+      Compressed size      : 15,592 bytes
+      Compression type     : gz
+
+    Meta block     : acu_bloom
+      Raw size             : 1,540,292 bytes
+      Compressed size      : 1,433,115 bytes
+      Compression type     : gz
+

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+Title: Apache Accumulo Bulk Ingest Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This is an example of how to bulk ingest data into accumulo using map reduce.
+
+The following commands show how to run this example.  This example creates a
+table called test_bulk which has two initial split points. Then 1000 rows of
+test data are created in HDFS. After that the 1000 rows are ingested into
+accumulo.  Then we verify the 1000 rows are in accumulo. 
+
+    $ PKG=org.apache.accumulo.examples.simple.mapreduce.bulk
+    $ ARGS="-i instance -z zookeepers -u username -p password"
+    $ ./bin/accumulo $PKG.SetupTable $ARGS -t test_bulk row_00000333 row_00000666
+    $ ./bin/accumulo $PKG.GenerateTestData --start-row 0 --count 1000 --output bulk/test_1.txt
+    $ ./bin/tool.sh lib/accumulo-examples-simple.jar $PKG.BulkIngestExample $ARGS -t test_bulk --inputDir bulk --workDir tmp/bulkWork
+    $ ./bin/accumulo $PKG.VerifyIngest $ARGS -t test_bulk --start-row 0 --count 1000
+
+For a high level discussion of bulk ingest, see the docs dir.

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+Title: Apache Accumulo Client Examples
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+
+This example shows how to use per table classpaths.   The example leverages a
+test jar which contains a Filter that supresses rows containing "foo".  The
+example shows copying the FooFilter.jar into HDFS and then making an Accumulo
+table reference that jar.
+
+
+Execute the following command in the shell.
+
+   $ hadoop fs -copyFromLocal $ACCUMULO_HOME/test/src/test/resources/FooFilter.jar /user1/lib
+
+Execute following in Accumulo shell to setup classpath context
+
+   root@test15> config -s general.vfs.context.classpath.cx1=hdfs://<namenode host>:<namenode port>/user1/lib
+
+Create a table
+
+   root@test15> createtable nofoo
+
+The following command makes this table use the configured classpath context
+
+   root@test15 nofoo> config -t nofoo -s table.classpath.context=cx1
+
+The following command configures an iterator thats in FooFilter.jar
+
+   root@test15 nofoo> setiter -n foofilter -p 10 -scan -minc -majc -class org.apache.accumulo.test.FooFilter
+   Filter accepts or rejects each Key/Value pair
+   ----------> set FooFilter parameter negate, default false keeps k/v that pass accept method, true rejects k/v that pass accept method: false
+
+The commands below show the filter is working.
+
+   root@test15 nofoo> insert foo1 f1 q1 v1
+   root@test15 nofoo> insert noo1 f1 q1 v2
+   root@test15 nofoo> scan
+   noo1 f1:q1 []    v2
+   root@test15 nofoo> 
+
+Below, an attempt is made to add the FooFilter to a table thats not configured
+to use the clasppath context cx1.  This fails util the table is configured to
+use cx1.
+
+   root@test15 nofoo> createtable nofootwo
+   root@test15 nofootwo> setiter -n foofilter -p 10 -scan -minc -majc -class org.apache.accumulo.test.FooFilter
+   2013-05-03 12:49:35,943 [shell.Shell] ERROR: java.lang.IllegalArgumentException: org.apache.accumulo.test.FooFilter
+   root@test15 nofootwo> config -t nofootwo -s table.classpath.context=cx1
+   root@test15 nofootwo> setiter -n foofilter -p 10 -scan -minc -majc -class org.apache.accumulo.test.FooFilter
+   Filter accepts or rejects each Key/Value pair
+   ----------> set FooFilter parameter negate, default false keeps k/v that pass accept method, true rejects k/v that pass accept method: false
+
+

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+Title: Apache Accumulo Client Examples
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This documents how you run the simplest java examples.
+
+Using the accumulo command, you can run the simple client examples by providing their 
+class name, and enough arguments to find your accumulo instance.  For example,
+the Flush class will flush a table:
+
+    $ PACKAGE=org.apache.accumulo.examples.simple.client
+    $ bin/accumulo $PACKAGE.Flush -u root -p mypassword -i instance -z zookeeper -t trace
+
+The very simple RowOperations class demonstrates how to read and write rows using the BatchWriter
+and Scanner:
+
+    $ bin/accumulo $PACKAGE.RowOperations -u root -p mypassword -i instance -z zookeeper 
+    2013-01-14 14:45:24,738 [client.RowOperations] INFO : This is everything
+    2013-01-14 14:45:24,744 [client.RowOperations] INFO : Key: row1 column:1 [] 1358192724640 false Value: This is the value for this key
+    2013-01-14 14:45:24,744 [client.RowOperations] INFO : Key: row1 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,744 [client.RowOperations] INFO : Key: row1 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,744 [client.RowOperations] INFO : Key: row1 column:4 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,746 [client.RowOperations] INFO : Key: row2 column:1 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,746 [client.RowOperations] INFO : Key: row2 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,746 [client.RowOperations] INFO : Key: row2 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,746 [client.RowOperations] INFO : Key: row2 column:4 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,747 [client.RowOperations] INFO : Key: row3 column:1 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,747 [client.RowOperations] INFO : Key: row3 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,747 [client.RowOperations] INFO : Key: row3 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,747 [client.RowOperations] INFO : Key: row3 column:4 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,756 [client.RowOperations] INFO : This is row1 and row3
+    2013-01-14 14:45:24,757 [client.RowOperations] INFO : Key: row1 column:1 [] 1358192724640 false Value: This is the value for this key
+    2013-01-14 14:45:24,757 [client.RowOperations] INFO : Key: row1 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,757 [client.RowOperations] INFO : Key: row1 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,757 [client.RowOperations] INFO : Key: row1 column:4 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,761 [client.RowOperations] INFO : Key: row3 column:1 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,761 [client.RowOperations] INFO : Key: row3 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,761 [client.RowOperations] INFO : Key: row3 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,761 [client.RowOperations] INFO : Key: row3 column:4 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,765 [client.RowOperations] INFO : This is just row3
+    2013-01-14 14:45:24,769 [client.RowOperations] INFO : Key: row3 column:1 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,770 [client.RowOperations] INFO : Key: row3 column:2 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,770 [client.RowOperations] INFO : Key: row3 column:3 [] 1358192724642 false Value: This is the value for this key
+    2013-01-14 14:45:24,770 [client.RowOperations] INFO : Key: row3 column:4 [] 1358192724642 false Value: This is the value for this key
+
+To create a table, write to it and read from it:
+
+    $ bin/accumulo $PACKAGE.ReadWriteExample -u root -p mypassword -i instance -z zookeeper --createtable --create --read 
+    hello%00; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%01; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%02; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%03; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%04; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%05; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%06; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%07; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%08; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+    hello%09; datatypes:xml [LEVEL1|GROUP1] 1358192329450 false -> world
+

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+Title: Apache Accumulo Combiner Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This tutorial uses the following Java class, which can be found in org.apache.accumulo.examples.simple.combiner in the simple-examples module:
+
+ * StatsCombiner.java - a combiner that calculates max, min, sum, and count
+
+This is a simple combiner example.  To build this example run maven and then
+copy the produced jar into the accumulo lib dir.  This is already done in the
+tar distribution.
+
+    $ bin/accumulo shell -u username
+    Enter current password for 'username'@'instance': ***
+    
+    Shell - Apache Accumulo Interactive Shell
+    - 
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable runners
+    username@instance runners> setiter -t runners -p 10 -scan -minc -majc -n decStats -class org.apache.accumulo.examples.simple.combiner.StatsCombiner
+    Combiner that keeps track of min, max, sum, and count
+    ----------> set StatsCombiner parameter all, set to true to apply Combiner to every column, otherwise leave blank. if true, columns option will be ignored.: 
+    ----------> set StatsCombiner parameter columns, <col fam>[:<col qual>]{,<col fam>[:<col qual>]} escape non aplhanum chars using %<hex>.: stat
+    ----------> set StatsCombiner parameter radix, radix/base of the numbers: 10
+    username@instance runners> setiter -t runners -p 11 -scan -minc -majc -n hexStats -class org.apache.accumulo.examples.simple.combiner.StatsCombiner
+    Combiner that keeps track of min, max, sum, and count
+    ----------> set StatsCombiner parameter all, set to true to apply Combiner to every column, otherwise leave blank. if true, columns option will be ignored.: 
+    ----------> set StatsCombiner parameter columns, <col fam>[:<col qual>]{,<col fam>[:<col qual>]} escape non aplhanum chars using %<hex>.: hstat
+    ----------> set StatsCombiner parameter radix, radix/base of the numbers: 16
+    username@instance runners> insert 123456 name first Joe
+    username@instance runners> insert 123456 stat marathon 240
+    username@instance runners> scan
+    123456 name:first []    Joe
+    123456 stat:marathon []    240,240,240,1
+    username@instance runners> insert 123456 stat marathon 230
+    username@instance runners> insert 123456 stat marathon 220
+    username@instance runners> scan
+    123456 name:first []    Joe
+    123456 stat:marathon []    220,240,690,3
+    username@instance runners> insert 123456 hstat virtualMarathon 6a
+    username@instance runners> insert 123456 hstat virtualMarathon 6b
+    username@instance runners> scan
+    123456 hstat:virtualMarathon []    6a,6b,d5,2
+    123456 name:first []    Joe
+    123456 stat:marathon []    220,240,690,3
+
+In this example a table is created and the example stats combiner is applied to
+the column family stat and hstat.  The stats combiner computes min,max,sum, and
+count.  It can be configured to use a different base or radix.  In the example
+above the column family stat is configured for base 10 and the column family
+hstat is configured for base 16.

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+Title: Apache Accumulo Constraints Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This tutorial uses the following Java classes, which can be found in org.apache.accumulo.examples.simple.constraints in the simple-examples module:
+
+ * AlphaNumKeyConstraint.java - a constraint that requires alphanumeric keys
+ * NumericValueConstraint.java - a constraint that requires numeric string values
+
+This an example of how to create a table with constraints. Below a table is
+created with two example constraints.  One constraints does not allow non alpha
+numeric keys.  The other constraint does not allow non numeric values. Two
+inserts that violate these constraints are attempted and denied.  The scan at
+the end shows the inserts were not allowed. 
+
+    $ ./bin/accumulo shell -u username -p password
+    
+    Shell - Apache Accumulo Interactive Shell
+    - 
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable testConstraints
+    username@instance testConstraints> constraint -a org.apache.accumulo.examples.simple.constraints.NumericValueConstraint
+    username@instance testConstraints> constraint -a org.apache.accumulo.examples.simple.constraints.AlphaNumKeyConstraint
+    username@instance testConstraints> insert r1 cf1 cq1 1111
+    username@instance testConstraints> insert r1 cf1 cq1 ABC
+      Constraint Failures:
+          ConstraintViolationSummary(constrainClass:org.apache.accumulo.examples.simple.constraints.NumericValueConstraint, violationCode:1, violationDescription:Value is not numeric, numberOfViolatingMutations:1)
+    username@instance testConstraints> insert r1! cf1 cq1 ABC 
+      Constraint Failures:
+          ConstraintViolationSummary(constrainClass:org.apache.accumulo.examples.simple.constraints.NumericValueConstraint, violationCode:1, violationDescription:Value is not numeric, numberOfViolatingMutations:1)
+          ConstraintViolationSummary(constrainClass:org.apache.accumulo.examples.simple.constraints.AlphaNumKeyConstraint, violationCode:1, violationDescription:Row was not alpha numeric, numberOfViolatingMutations:1)
+    username@instance testConstraints> scan
+    r1 cf1:cq1 []    1111
+    username@instance testConstraints> 
+

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+Title: Apache Accumulo File System Archive
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example stores filesystem information in accumulo.  The example stores the information in the following three tables.  More information about the table structures can be found at the end of README.dirlist.
+
+ * directory table : This table stores information about the filesystem directory structure.
+ * index table     : This table stores a file name index.  It can be used to quickly find files with given name, suffix, or prefix.
+ * data table      : This table stores the file data.  File with duplicate data are only stored once.  
+
+This example shows how to use Accumulo to store a file system history.  It has the following classes:
+
+ * Ingest.java - Recursively lists the files and directories under a given path, ingests their names and file info into one Accumulo table, indexes the file names in a separate table, and the file data into a third table.
+ * QueryUtil.java - Provides utility methods for getting the info for a file, listing the contents of a directory, and performing single wild card searches on file or directory names.
+ * Viewer.java - Provides a GUI for browsing the file system information stored in Accumulo.
+ * FileCount.java - Computes recursive counts over file system information and stores them back into the same Accumulo table.
+ 
+To begin, ingest some data with Ingest.java.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.Ingest -i instance -z zookeepers -u username -p password --vis exampleVis --chunkSize 100000 /local/username/workspace
+
+This may take some time if there are large files in the /local/username/workspace directory.  If you use 0 instead of 100000 on the command line, the ingest will run much faster, but it will not put any file data into Accumulo (the dataTable will be empty).
+Note that running this example will create tables dirTable, indexTable, and dataTable in Accumulo that you should delete when you have completed the example.
+If you modify a file or add new files in the directory ingested (e.g. /local/username/workspace), you can run Ingest again to add new information into the Accumulo tables.
+
+To browse the data ingested, use Viewer.java.  Be sure to give the "username" user the authorizations to see the data (in this case, run
+
+    $ ./bin/accumulo shell -u root -e 'setauths -u username -s exampleVis'
+
+then run the Viewer:
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.Viewer -i instance -z zookeepers -u username -p password -t dirTable --dataTable dataTable --auths exampleVis --path /local/username/workspace
+
+To list the contents of specific directories, use QueryUtil.java.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t dirTable --auths exampleVis --path /local/username
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t dirTable --auths exampleVis --path /local/username/workspace
+
+To perform searches on file or directory names, also use QueryUtil.java.  Search terms must contain no more than one wild card and cannot contain "/".
+*Note* these queries run on the _indexTable_ table instead of the dirTable table.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t indexTable --auths exampleVis --path filename --search
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t indexTable --auths exampleVis --path 'filename*' --search
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t indexTable --auths exampleVis --path '*jar' --search
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.QueryUtil -i instance -z zookeepers -u username -p password -t indexTable --auths exampleVis iipath 'filename*jar' --search
+
+To count the number of direct children (directories and files) and descendants (children and children's descendants, directories and files), run the FileCount over the dirTable table.
+The results are written back to the same table.  FileCount reads from and writes to Accumulo.  This requires scan authorizations for the read and a visibility for the data written.
+In this example, the authorizations and visibility are set to the same value, exampleVis.  See README.visibility for more information on visibility and authorizations.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.dirlist.FileCount instance zookeepers username password dirTable exampleVis exampleVis
+
+## Directory Table
+
+Here is a illustration of what data looks like in the directory table:
+
+    row colf:colq [vis]	value
+    000 dir:exec [exampleVis]    true
+    000 dir:hidden [exampleVis]    false
+    000 dir:lastmod [exampleVis]    1291996886000
+    000 dir:length [exampleVis]    1666
+    001/local dir:exec [exampleVis]    true
+    001/local dir:hidden [exampleVis]    false
+    001/local dir:lastmod [exampleVis]    1304945270000
+    001/local dir:length [exampleVis]    272
+    002/local/Accumulo.README \x7F\xFF\xFE\xCFH\xA1\x82\x97:exec [exampleVis]    false
+    002/local/Accumulo.README \x7F\xFF\xFE\xCFH\xA1\x82\x97:hidden [exampleVis]    false
+    002/local/Accumulo.README \x7F\xFF\xFE\xCFH\xA1\x82\x97:lastmod [exampleVis]    1308746481000
+    002/local/Accumulo.README \x7F\xFF\xFE\xCFH\xA1\x82\x97:length [exampleVis]    9192
+    002/local/Accumulo.README \x7F\xFF\xFE\xCFH\xA1\x82\x97:md5 [exampleVis]    274af6419a3c4c4a259260ac7017cbf1
+
+The rows are of the form depth + path, where depth is the number of slashes ("/") in the path padded to 3 digits.  This is so that all the children of a directory appear as consecutive keys in Accumulo; without the depth, you would for example see all the subdirectories of /local before you saw /usr.
+For directories the column family is "dir".  For files the column family is Long.MAX_VALUE - lastModified in bytes rather than string format so that newer versions sort earlier.
+
+## Index Table
+
+Here is an illustration of what data looks like in the index table:
+
+    row colf:colq [vis]
+    fAccumulo.README i:002/local/Accumulo.README [exampleVis]
+    flocal i:001/local [exampleVis]
+    rEMDAER.olumuccA i:002/local/Accumulo.README [exampleVis]
+    rlacol i:001/local [exampleVis]
+
+The values of the index table are null.  The rows are of the form "f" + filename or "r" + reverse file name.  This is to enable searches with wildcards at the beginning, middle, or end.
+
+## Data Table
+
+Here is an illustration of what data looks like in the data table:
+
+    row colf:colq [vis]	value
+    274af6419a3c4c4a259260ac7017cbf1 refs:e77276a2b56e5c15b540eaae32b12c69\x00filext [exampleVis]    README
+    274af6419a3c4c4a259260ac7017cbf1 refs:e77276a2b56e5c15b540eaae32b12c69\x00name [exampleVis]    /local/Accumulo.README
+    274af6419a3c4c4a259260ac7017cbf1 ~chunk:\x00\x0FB@\x00\x00\x00\x00 [exampleVis]    *******************************************************************************\x0A1. Building\x0A\x0AIn the normal tarball or RPM release of accumulo, [truncated]
+    274af6419a3c4c4a259260ac7017cbf1 ~chunk:\x00\x0FB@\x00\x00\x00\x01 [exampleVis]
+
+The rows are the md5 hash of the file.  Some column family : column qualifier pairs are "refs" : hash of file name + null byte + property name, in which case the value is property value.  There can be multiple references to the same file which are distinguished by the hash of the file name.
+Other column family : column qualifier pairs are "~chunk" : chunk size in bytes + chunk number in bytes, in which case the value is the bytes for that chunk of the file.  There is an end of file data marker whose chunk number is the number of chunks for the file and whose value is empty.
+
+There may exist multiple copies of the same file (with the same md5 hash) with different chunk sizes or different visibilities.  There is an iterator that can be set on the data table that combines these copies into a single copy with a visibility taken from the visibilities of the file references, e.g. (vis from ref1)|(vis from ref2). 

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+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+Accumulo provides a mechanism to export and import tables.  This README shows
+how to use this feature.
+
+The shell session below shows creating a table, inserting data, and exporting
+the table.  A table must be offline to export it, and it should remain offline
+for the duration of the distcp.  An easy way to take a table offline without
+interuppting access to it is to clone it and take the clone offline.
+
+  root@test15> createtable table1
+  root@test15 table1> insert a cf1 cq1 v1
+  root@test15 table1> insert h cf1 cq1 v2
+  root@test15 table1> insert z cf1 cq1 v3
+  root@test15 table1> insert z cf1 cq2 v4
+  root@test15 table1> addsplits -t table1 b r
+  root@test15 table1> scan
+  a cf1:cq1 []    v1
+  h cf1:cq1 []    v2
+  z cf1:cq1 []    v3
+  z cf1:cq2 []    v4
+  root@test15> config -t table1 -s table.split.threshold=100M
+  root@test15 table1> clonetable table1 table1_exp
+  root@test15 table1> offline table1_exp
+  root@test15 table1> exporttable -t table1_exp /tmp/table1_export
+  root@test15 table1> quit
+
+After executing the export command, a few files are created in the hdfs dir.
+One of the files is a list of files to distcp as shown below.
+
+  $ hadoop fs -ls /tmp/table1_export
+  Found 2 items
+  -rw-r--r--   3 user supergroup        162 2012-07-25 09:56 /tmp/table1_export/distcp.txt
+  -rw-r--r--   3 user supergroup        821 2012-07-25 09:56 /tmp/table1_export/exportMetadata.zip
+  $ hadoop fs -cat /tmp/table1_export/distcp.txt
+  hdfs://n1.example.com:6093/accumulo/tables/3/default_tablet/F0000000.rf
+  hdfs://n1.example.com:6093/tmp/table1_export/exportMetadata.zip
+
+Before the table can be imported, it must be copied using distcp.  After the
+discp completed, the cloned table may be deleted.
+
+  $ hadoop distcp -f /tmp/table1_export/distcp.txt /tmp/table1_export_dest
+
+The Accumulo shell session below shows importing the table and inspecting it.
+The data, splits, config, and logical time information for the table were
+preserved.
+
+  root@test15> importtable table1_copy /tmp/table1_export_dest
+  root@test15> table table1_copy
+  root@test15 table1_copy> scan
+  a cf1:cq1 []    v1
+  h cf1:cq1 []    v2
+  z cf1:cq1 []    v3
+  z cf1:cq2 []    v4
+  root@test15 table1_copy> getsplits -t table1_copy
+  b
+  r
+  root@test15> config -t table1_copy -f split
+  ---------+--------------------------+-------------------------------------------
+  SCOPE    | NAME                     | VALUE
+  ---------+--------------------------+-------------------------------------------
+  default  | table.split.threshold .. | 1G
+  table    |    @override ........... | 100M
+  ---------+--------------------------+-------------------------------------------
+  root@test15> tables -l
+  !METADATA       =>         !0
+  trace           =>          1
+  table1_copy     =>          5
+  root@test15 table1_copy> scan -t !METADATA -b 5 -c srv:time
+  5;b srv:time []    M1343224500467
+  5;r srv:time []    M1343224500467
+  5< srv:time []    M1343224500467
+
+

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+Title: Apache Accumulo File System Archive Example (Data Only)
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example archives file data into an Accumulo table.  Files with duplicate data are only stored once.
+The example has the following classes:
+
+ * CharacterHistogram - A MapReduce that computes a histogram of byte frequency for each file and stores the histogram alongside the file data.  An example use of the ChunkInputFormat.
+ * ChunkCombiner - An Iterator that dedupes file data and sets their visibilities to a combined visibility based on current references to the file data.
+ * ChunkInputFormat - An Accumulo InputFormat that provides keys containing file info (List<Entry<Key,Value>>) and values with an InputStream over the file (ChunkInputStream).
+ * ChunkInputStream - An input stream over file data stored in Accumulo.
+ * FileDataIngest - Takes a list of files and archives them into Accumulo keyed on the SHA1 hashes of the files.
+ * FileDataQuery - Retrieves file data based on the SHA1 hash of the file. (Used by the dirlist.Viewer.)
+ * KeyUtil - A utility for creating and parsing null-byte separated strings into/from Text objects.
+ * VisibilityCombiner - A utility for merging visibilities into the form (VIS1)|(VIS2)|...
+
+This example is coupled with the dirlist example.  See README.dirlist for instructions.
+
+If you haven't already run the README.dirlist example, ingest a file with FileDataIngest.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.filedata.FileDataIngest -i instance -z zookeepers -u username -p password -t dataTable --auths exampleVis --chunk 1000 $ACCUMULO_HOME/README
+
+Open the accumulo shell and look at the data.  The row is the MD5 hash of the file, which you can verify by running a command such as 'md5sum' on the file.
+
+    > scan -t dataTable
+
+Run the CharacterHistogram MapReduce to add some information about the file.
+
+    $ bin/tool.sh lib/accumulo-examples-simple.jar org.apache.accumulo.examples.simple.filedata.CharacterHistogram -i instance -z zookeepers -u username -p password -t dataTable --auths exampleVis --vis exampleVis
+
+Scan again to see the histogram stored in the 'info' column family.
+
+    > scan -t dataTable

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+Title: Apache Accumulo Filter Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This is a simple filter example.  It uses the AgeOffFilter that is provided as 
+part of the core package org.apache.accumulo.core.iterators.user.  Filters are 
+iterators that select desired key/value pairs (or weed out undesired ones).  
+Filters extend the org.apache.accumulo.core.iterators.Filter class 
+and must implement a method accept(Key k, Value v).  This method returns true 
+if the key/value pair are to be delivered and false if they are to be ignored.
+Filter takes a "negate" parameter which defaults to false.  If set to true, the
+return value of the accept method is negated, so that key/value pairs accepted
+by the method are omitted by the Filter.
+
+    username@instance> createtable filtertest
+    username@instance filtertest> setiter -t filtertest -scan -p 10 -n myfilter -ageoff
+    AgeOffFilter removes entries with timestamps more than <ttl> milliseconds old
+    ----------> set AgeOffFilter parameter negate, default false keeps k/v that pass accept method, true rejects k/v that pass accept method: 
+    ----------> set AgeOffFilter parameter ttl, time to live (milliseconds): 30000
+    ----------> set AgeOffFilter parameter currentTime, if set, use the given value as the absolute time in milliseconds as the current time of day: 
+    username@instance filtertest> scan
+    username@instance filtertest> insert foo a b c
+    username@instance filtertest> scan
+    foo a:b []    c
+    username@instance filtertest> 
+    
+... wait 30 seconds ...
+    
+    username@instance filtertest> scan
+    username@instance filtertest> 
+
+Note the absence of the entry inserted more than 30 seconds ago.  Since the
+scope was set to "scan", this means the entry is still in Accumulo, but is
+being filtered out at query time.  To delete entries from Accumulo based on
+the ages of their timestamps, AgeOffFilters should be set up for the "minc"
+and "majc" scopes, as well.
+
+To force an ageoff of the persisted data, after setting up the ageoff iterator 
+on the "minc" and "majc" scopes you can flush and compact your table. This will
+happen automatically as a background operation on any table that is being 
+actively written to, but can also be requested in the shell.
+
+The first setiter command used the special -ageoff flag to specify the 
+AgeOffFilter, but any Filter can be configured by using the -class flag.  The 
+following commands show how to enable the AgeOffFilter for the minc and majc
+scopes using the -class flag, then flush and compact the table.
+
+    username@instance filtertest> setiter -t filtertest -minc -majc -p 10 -n myfilter -class org.apache.accumulo.core.iterators.user.AgeOffFilter
+    AgeOffFilter removes entries with timestamps more than <ttl> milliseconds old
+    ----------> set AgeOffFilter parameter negate, default false keeps k/v that pass accept method, true rejects k/v that pass accept method: 
+    ----------> set AgeOffFilter parameter ttl, time to live (milliseconds): 30000
+    ----------> set AgeOffFilter parameter currentTime, if set, use the given value as the absolute time in milliseconds as the current time of day: 
+    username@instance filtertest> flush
+    06 10:42:24,806 [shell.Shell] INFO : Flush of table filtertest initiated...
+    username@instance filtertest> compact
+    06 10:42:36,781 [shell.Shell] INFO : Compaction of table filtertest started for given range
+    username@instance filtertest> flush -t filtertest -w
+    06 10:42:52,881 [shell.Shell] INFO : Flush of table filtertest completed.
+    username@instance filtertest> compact -t filtertest -w
+    06 10:43:00,632 [shell.Shell] INFO : Compacting table ...
+    06 10:43:01,307 [shell.Shell] INFO : Compaction of table filtertest completed for given range
+    username@instance filtertest>
+
+By default, flush and compact execute in the background, but with the -w flag
+they will wait to return until the operation has completed.  Both are 
+demonstrated above, though only one call to each would be necessary.  A 
+specific table can be specified with -t.
+
+After the compaction runs, the newly created files will not contain any data 
+that should have been aged off, and the Accumulo garbage collector will remove 
+the old files.
+
+To see the iterator settings for a table, use config.
+
+    username@instance filtertest> config -t filtertest -f iterator
+    ---------+---------------------------------------------+---------------------------------------------------------------------------
+    SCOPE    | NAME                                        | VALUE
+    ---------+---------------------------------------------+---------------------------------------------------------------------------
+    table    | table.iterator.majc.myfilter .............. | 10,org.apache.accumulo.core.iterators.user.AgeOffFilter
+    table    | table.iterator.majc.myfilter.opt.ttl ...... | 30000
+    table    | table.iterator.majc.vers .................. | 20,org.apache.accumulo.core.iterators.user.VersioningIterator
+    table    | table.iterator.majc.vers.opt.maxVersions .. | 1
+    table    | table.iterator.minc.myfilter .............. | 10,org.apache.accumulo.core.iterators.user.AgeOffFilter
+    table    | table.iterator.minc.myfilter.opt.ttl ...... | 30000
+    table    | table.iterator.minc.vers .................. | 20,org.apache.accumulo.core.iterators.user.VersioningIterator
+    table    | table.iterator.minc.vers.opt.maxVersions .. | 1
+    table    | table.iterator.scan.myfilter .............. | 10,org.apache.accumulo.core.iterators.user.AgeOffFilter
+    table    | table.iterator.scan.myfilter.opt.ttl ...... | 30000
+    table    | table.iterator.scan.vers .................. | 20,org.apache.accumulo.core.iterators.user.VersioningIterator
+    table    | table.iterator.scan.vers.opt.maxVersions .. | 1
+    ---------+---------------------------------------------+---------------------------------------------------------------------------
+    username@instance filtertest> 
+
+When setting new iterators, make sure to order their priority numbers 
+(specified with -p) in the order you would like the iterators to be applied.
+Also, each iterator must have a unique name and priority within each scope.

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+Title: Apache Accumulo Hello World Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This tutorial uses the following Java classes, which can be found in org.apache.accumulo.examples.simple.helloworld in the simple-examples module: 
+
+ * InsertWithBatchWriter.java - Inserts 10K rows (50K entries) into accumulo with each row having 5 entries
+ * ReadData.java - Reads all data between two rows
+
+Log into the accumulo shell:
+
+    $ ./bin/accumulo shell -u username -p password
+
+Create a table called 'hellotable':
+
+    username@instance> createtable hellotable	
+
+Launch a Java program that inserts data with a BatchWriter:
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.helloworld.InsertWithBatchWriter -i instance -z zookeepers -u username -p password -t hellotable 
+
+On the accumulo status page at the URL below (where 'master' is replaced with the name or IP of your accumulo master), you should see 50K entries
+	
+    http://master:50095/
+	
+To view the entries, use the shell to scan the table:
+
+    username@instance> table hellotable
+    username@instance hellotable> scan
+
+You can also use a Java class to scan the table:
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.helloworld.ReadData -i instance -z zookeepers -u username -p password -t hellotable --startKey row_0 --endKey row_1001

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+Title: Apache Accumulo Examples
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+Before running any of the examples, the following steps must be performed.
+
+1. Install and run Accumulo via the instructions found in $ACCUMULO_HOME/README.
+   Remember the instance name.  It will be referred to as "instance" throughout 
+   the examples. A comma-separated list of zookeeper servers will be referred 
+   to as "zookeepers".
+
+2. Create an Accumulo user (see the [user manual][1]), or use the root user.
+   The "username" Accumulo user name with password "password" is used 
+   throughout the examples. This user needs the ability to create tables.
+
+In all commands, you will need to replace "instance", "zookeepers", 
+"username", and "password" with the values you set for your Accumulo instance.
+
+Commands intended to be run in bash are prefixed by '$'.  These are always 
+assumed to be run from the $ACCUMULO_HOME directory.
+
+Commands intended to be run in the Accumulo shell are prefixed by '>'.
+
+Each README in the examples directory highlights the use of particular 
+features of Apache Accumulo.
+
+   [batch](batch.html):       Using the batch writer and batch scanner.
+
+   [bloom](bloom.html):       Creating a bloom filter enabled table to increase query 
+                       performance.
+
+   [bulkIngest](bulkIngest.html):  Ingesting bulk data using map/reduce jobs on Hadoop.
+
+   [classpath](classpath.html)
+
+   [client](client.html)
+
+   [combiner](combiner.html):    Using example StatsCombiner to find min, max, sum, and 
+                       count.
+
+   [constraints](constraints.html): Using constraints with tables.
+
+   [dirlist](dirlist.html):     Storing filesystem information.
+
+   [export](export.html)
+
+   [filedata](filedata.html):    Storing file data.
+
+   [filter](filter.html):      Using the AgeOffFilter to remove records more than 30 
+                       seconds old.
+
+   [helloworld](helloworld.html):  Inserting records both inside map/reduce jobs and 
+                       outside. And reading records between two rows.
+
+   [isolation](isolation.html):   Using the isolated scanner to ensure partial changes 
+                       are not seen.
+
+   [mapred](mapred.html):      Using MapReduce to read from and write to Accumulo 
+                       tables.
+
+   [maxmutation](maxmutation.html): Limiting mutation size to avoid running out of memory.
+
+   [regex](regex.html)
+
+   [rowhash](rowhash.html)
+
+   [shard](shard.html):       Using the intersecting iterator with a term index 
+                       partitioned by document.
+
+   [tabletofile](tabletofile.html)
+
+   [terasort](terasort.html)
+
+   [visibility](visibility.html):  Using visibilities (or combinations of authorizations). 
+                       Also shows user permissions.
+
+
+[1]: /1.5/user_manual/Accumulo_Shell.html#User_Administration
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+

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+Title: Apache Accumulo Isolation Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+
+Accumulo has an isolated scanner that ensures partial changes to rows are not
+seen.  Isolation is documented in ../docs/isolation.html and the user manual.  
+
+InterferenceTest is a simple example that shows the effects of scanning with
+and without isolation.  This program starts two threads.  One threads
+continually upates all of the values in a row to be the same thing, but
+different from what it used to be.  The other thread continually scans the
+table and checks that all values in a row are the same.  Without isolation the
+scanning thread will sometimes see different values, which is the result of
+reading the row at the same time a mutation is changing the row.
+
+Below, Interference Test is run without isolation enabled for 5000 iterations
+and it reports problems.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.isolation.InterferenceTest -i instance -z zookeepers -u username -p password -t isotest --iterations 5000
+    ERROR Columns in row 053 had multiple values [53, 4553]
+    ERROR Columns in row 061 had multiple values [561, 61]
+    ERROR Columns in row 070 had multiple values [570, 1070]
+    ERROR Columns in row 079 had multiple values [1079, 1579]
+    ERROR Columns in row 088 had multiple values [2588, 1588]
+    ERROR Columns in row 106 had multiple values [2606, 3106]
+    ERROR Columns in row 115 had multiple values [4615, 3115]
+    finished
+
+Below, Interference Test is run with isolation enabled for 5000 iterations and
+it reports no problems.
+
+    $ ./bin/accumulo org.apache.accumulo.examples.simple.isolation.InterferenceTest -i instance -z zookeepers -u username -p password -t isotest --iterations 5000 --isolated
+    finished
+
+

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+Title: Apache Accumulo MapReduce Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example uses mapreduce and accumulo to compute word counts for a set of
+documents.  This is accomplished using a map-only mapreduce job and a
+accumulo table with combiners.
+
+To run this example you will need a directory in HDFS containing text files.
+The accumulo readme will be used to show how to run this example.
+
+    $ hadoop fs -copyFromLocal $ACCUMULO_HOME/README /user/username/wc/Accumulo.README
+    $ hadoop fs -ls /user/username/wc
+    Found 1 items
+    -rw-r--r--   2 username supergroup       9359 2009-07-15 17:54 /user/username/wc/Accumulo.README
+
+The first part of running this example is to create a table with a combiner
+for the column family count.
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable wordCount
+    username@instance wordCount> setiter -class org.apache.accumulo.core.iterators.user.SummingCombiner -p 10 -t wordCount -majc -minc -scan
+    SummingCombiner interprets Values as Longs and adds them together.  A variety of encodings (variable length, fixed length, or string) are available
+    ----------> set SummingCombiner parameter all, set to true to apply Combiner to every column, otherwise leave blank. if true, columns option will be ignored.: false
+    ----------> set SummingCombiner parameter columns, <col fam>[:<col qual>]{,<col fam>[:<col qual>]} escape non-alphanum chars using %<hex>.: count
+    ----------> set SummingCombiner parameter lossy, if true, failed decodes are ignored. Otherwise combiner will error on failed decodes (default false): <TRUE|FALSE>: false 
+    ----------> set SummingCombiner parameter type, <VARLEN|FIXEDLEN|STRING|fullClassName>: STRING
+    username@instance wordCount> quit
+
+After creating the table, run the word count map reduce job.
+
+    $ bin/tool.sh lib/accumulo-examples-simple.jar org.apache.accumulo.examples.simple.mapreduce.WordCount -i instance -z zookeepers  --input /user/username/wc wordCount -u username -p password
+    
+    11/02/07 18:20:11 INFO input.FileInputFormat: Total input paths to process : 1
+    11/02/07 18:20:12 INFO mapred.JobClient: Running job: job_201102071740_0003
+    11/02/07 18:20:13 INFO mapred.JobClient:  map 0% reduce 0%
+    11/02/07 18:20:20 INFO mapred.JobClient:  map 100% reduce 0%
+    11/02/07 18:20:22 INFO mapred.JobClient: Job complete: job_201102071740_0003
+    11/02/07 18:20:22 INFO mapred.JobClient: Counters: 6
+    11/02/07 18:20:22 INFO mapred.JobClient:   Job Counters 
+    11/02/07 18:20:22 INFO mapred.JobClient:     Launched map tasks=1
+    11/02/07 18:20:22 INFO mapred.JobClient:     Data-local map tasks=1
+    11/02/07 18:20:22 INFO mapred.JobClient:   FileSystemCounters
+    11/02/07 18:20:22 INFO mapred.JobClient:     HDFS_BYTES_READ=10487
+    11/02/07 18:20:22 INFO mapred.JobClient:   Map-Reduce Framework
+    11/02/07 18:20:22 INFO mapred.JobClient:     Map input records=255
+    11/02/07 18:20:22 INFO mapred.JobClient:     Spilled Records=0
+    11/02/07 18:20:22 INFO mapred.JobClient:     Map output records=1452
+
+After the map reduce job completes, query the accumulo table to see word
+counts.
+
+    $ ./bin/accumulo shell -u username -p password
+    username@instance> table wordCount
+    username@instance wordCount> scan -b the
+    the count:20080906 []    75
+    their count:20080906 []    2
+    them count:20080906 []    1
+    then count:20080906 []    1
+    there count:20080906 []    1
+    these count:20080906 []    3
+    this count:20080906 []    6
+    through count:20080906 []    1
+    time count:20080906 []    3
+    time. count:20080906 []    1
+    to count:20080906 []    27
+    total count:20080906 []    1
+    tserver, count:20080906 []    1
+    tserver.compaction.major.concurrent.max count:20080906 []    1
+    ...
+
+Another example to look at is
+org.apache.accumulo.examples.simple.mapreduce.UniqueColumns.  This example
+computes the unique set of columns in a table and shows how a map reduce job
+can directly read a tables files from HDFS. 
+

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--- accumulo/site/trunk/content/1.5/examples/maxmutation.mdtext (added)
+++ accumulo/site/trunk/content/1.5/examples/maxmutation.mdtext Sat May 25 02:56:08 2013
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+Title: Apache Accumulo MaxMutation Constraints Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This an example of how to limit the size of mutations that will be accepted into
+a table.  Under the default configuration, accumulo does not provide a limitation
+on the size of mutations that can be ingested.  Poorly behaved writers might
+inadvertently create mutations so large, that they cause the tablet servers to 
+run out of memory.  A simple contraint can be added to a table to reject very 
+large mutations.
+
+    $ ./bin/accumulo shell -u username -p password
+    
+    Shell - Apache Accumulo Interactive Shell
+    - 
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable test_ingest
+    username@instance test_ingest> config -t test_ingest -s table.constraint.1=org.apache.accumulo.examples.simple.constraints.MaxMutationSize
+    username@instance test_ingest> 
+
+
+Now the table will reject any mutation that is larger than 1/256th of the 
+working memory of the tablet server.  The following command attempts to ingest 
+a single row with 10000 columns, which exceeds the memory limit:
+
+    $ ./bin/accumulo org.apache.accumulo.test.TestIngest -i instance -z zookeepers -u username -p password --rows 1 --cols 10000 
+ERROR : Constraint violates : ConstraintViolationSummary(constrainClass:org.apache.accumulo.examples.simple.constraints.MaxMutationSize, violationCode:0, violationDescription:mutation exceeded maximum size of 188160, numberOfViolatingMutations:1)
+

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--- accumulo/site/trunk/content/1.5/examples/regex.mdtext (added)
+++ accumulo/site/trunk/content/1.5/examples/regex.mdtext Sat May 25 02:56:08 2013
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+Title: Apache Accumulo Regex Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example uses mapreduce and accumulo to find items using regular expressions.
+This is accomplished using a map-only mapreduce job and a scan-time iterator.
+
+To run this example you will need some data in a table.  The following will
+put a trivial amount of data into accumulo using the accumulo shell:
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable input
+    username@instance> insert dogrow dogcf dogcq dogvalue
+    username@instance> insert catrow catcf catcq catvalue
+    username@instance> quit
+
+The RegexExample class sets an iterator on the scanner.  This does pattern matching
+against each key/value in accumulo, and only returns matching items.  It will do this
+in parallel and will store the results in files in hdfs.
+
+The following will search for any rows in the input table that starts with "dog":
+
+    $ bin/tool.sh lib/accumulo-examples-simple.jar org.apache.accumulo.examples.simple.mapreduce.RegexExample -u user -p passwd -i instance -t input --rowRegex 'dog.*' --output /tmp/output
+
+    $ hadoop fs -ls /tmp/output
+    Found 3 items
+    -rw-r--r--   1 username supergroup          0 2013-01-10 14:11 /tmp/output/_SUCCESS
+    drwxr-xr-x   - username supergroup          0 2013-01-10 14:10 /tmp/output/_logs
+    -rw-r--r--   1 username supergroup         51 2013-01-10 14:10 /tmp/output/part-m-00000
+
+We can see the output of our little map-reduce job:
+
+    $ hadoop fs -text /tmp/output/output/part-m-00000
+    dogrow dogcf:dogcq [] 1357844987994 false	dogvalue
+    $
+
+

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--- accumulo/site/trunk/content/1.5/examples/rowhash.mdtext (added)
+++ accumulo/site/trunk/content/1.5/examples/rowhash.mdtext Sat May 25 02:56:08 2013
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+Title: Apache Accumulo RowHash Example
+Notice:    Licensed to the Apache Software Foundation (ASF) under one
+           or more contributor license agreements.  See the NOTICE file
+           distributed with this work for additional information
+           regarding copyright ownership.  The ASF licenses this file
+           to you 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.
+
+This example shows a simple map/reduce job that reads from an accumulo table and
+writes back into that table.
+
+To run this example you will need some data in a table.  The following will
+put a trivial amount of data into accumulo using the accumulo shell:
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> createtable input
+    username@instance> insert a-row cf cq value
+    username@instance> insert b-row cf cq value
+    username@instance> quit
+
+The RowHash class will insert a hash for each row in the database if it contains a 
+specified colum.  Here's how you run the map/reduce job
+
+    $ bin/tool.sh lib/accumulo-examples-simple.jar org.apache.accumulo.examples.simple.mapreduce.RowHash -u user -p passwd -i instance -t input --column cf:cq 
+
+Now we can scan the table and see the hashes:
+
+    $ ./bin/accumulo shell -u username -p password
+    Shell - Apache Accumulo Interactive Shell
+    - version: 1.5.0
+    - instance name: instance
+    - instance id: 00000000-0000-0000-0000-000000000000
+    - 
+    - type 'help' for a list of available commands
+    - 
+    username@instance> scan -t input
+    a-row cf:cq []    value
+    a-row cf-HASHTYPE:cq-MD5BASE64 []    IGPBYI1uC6+AJJxC4r5YBA==
+    b-row cf:cq []    value
+    b-row cf-HASHTYPE:cq-MD5BASE64 []    IGPBYI1uC6+AJJxC4r5YBA==
+    username@instance> 
+



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