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From ctubb...@apache.org
Subject [5/7] Merge branch '1.6.0-SNAPSHOT'
Date Fri, 11 Apr 2014 20:33:14 GMT
http://git-wip-us.apache.org/repos/asf/accumulo/blob/bf102d07/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/InputConfigurator.java
----------------------------------------------------------------------
diff --cc core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/InputConfigurator.java
index c7b3520,3b1feb6..0000000
deleted file mode 100644,100644
--- a/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/InputConfigurator.java
+++ /dev/null
@@@ -1,795 -1,462 +1,0 @@@
--/*
-- * 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.
-- */
--package org.apache.accumulo.core.client.mapreduce.lib.util;
--
- import static com.google.common.base.Preconditions.checkArgument;
- 
- import java.io.ByteArrayInputStream;
- import java.io.ByteArrayOutputStream;
- import java.io.DataInputStream;
- import java.io.DataOutputStream;
--import java.io.IOException;
- import java.nio.charset.StandardCharsets;
- import java.util.ArrayList;
--import java.util.Collection;
- import java.util.HashMap;
- import java.util.HashSet;
- import java.util.Iterator;
--import java.util.List;
- import java.util.Map;
--import java.util.Set;
- import java.util.StringTokenizer;
--
- import org.apache.accumulo.core.client.AccumuloException;
- import org.apache.accumulo.core.client.AccumuloSecurityException;
--import org.apache.accumulo.core.client.ClientSideIteratorScanner;
- import org.apache.accumulo.core.client.Connector;
- import org.apache.accumulo.core.client.Instance;
--import org.apache.accumulo.core.client.IsolatedScanner;
--import org.apache.accumulo.core.client.IteratorSetting;
- import org.apache.accumulo.core.client.RowIterator;
--import org.apache.accumulo.core.client.Scanner;
--import org.apache.accumulo.core.client.TableNotFoundException;
--import org.apache.accumulo.core.client.impl.Tables;
--import org.apache.accumulo.core.client.impl.TabletLocator;
- import org.apache.accumulo.core.client.mapreduce.InputTableConfig;
- import org.apache.accumulo.core.client.mock.MockTabletLocator;
- import org.apache.accumulo.core.client.security.tokens.AuthenticationToken;
- import org.apache.accumulo.core.data.Key;
- import org.apache.accumulo.core.data.KeyExtent;
- import org.apache.accumulo.core.data.PartialKey;
--import org.apache.accumulo.core.data.Range;
- import org.apache.accumulo.core.data.Value;
- import org.apache.accumulo.core.iterators.SortedKeyValueIterator;
- import org.apache.accumulo.core.master.state.tables.TableState;
- import org.apache.accumulo.core.metadata.MetadataTable;
- import org.apache.accumulo.core.metadata.schema.MetadataSchema;
--import org.apache.accumulo.core.security.Authorizations;
- import org.apache.accumulo.core.security.TablePermission;
--import org.apache.accumulo.core.util.Pair;
- import org.apache.accumulo.core.util.TextUtil;
- import org.apache.commons.codec.binary.Base64;
--import org.apache.hadoop.conf.Configuration;
- import org.apache.hadoop.io.MapWritable;
--import org.apache.hadoop.io.Text;
- import org.apache.hadoop.io.Writable;
- import org.apache.hadoop.util.StringUtils;
--
- import com.google.common.collect.Maps;
- 
--/**
-  * @since 1.5.0
-  */
- public class InputConfigurator extends ConfiguratorBase {
- 
-   /**
-    * Configuration keys for {@link Scanner}.
-    * 
-    * @since 1.5.0
-    */
-   public static enum ScanOpts {
-     TABLE_NAME, AUTHORIZATIONS, RANGES, COLUMNS, ITERATORS, TABLE_CONFIGS
-   }
- 
-   /**
-    * Configuration keys for various features.
-    * 
-    * @since 1.5.0
-    */
-   public static enum Features {
-     AUTO_ADJUST_RANGES, SCAN_ISOLATION, USE_LOCAL_ITERATORS, SCAN_OFFLINE
-   }
- 
-   /**
-    * Sets the name of the input table, over which this job will scan.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param tableName
-    *          the table to use when the tablename is null in the write call
-    * @since 1.5.0
-    */
-   public static void setInputTableName(Class<?> implementingClass, Configuration conf, String tableName) {
-     checkArgument(tableName != null, "tableName is null");
-     conf.set(enumToConfKey(implementingClass, ScanOpts.TABLE_NAME), tableName);
-   }
- 
-   /**
-    * Sets the name of the input table, over which this job will scan.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @since 1.5.0
-    */
-   public static String getInputTableName(Class<?> implementingClass, Configuration conf) {
-     return conf.get(enumToConfKey(implementingClass, ScanOpts.TABLE_NAME));
-   }
- 
-   /**
-    * Sets the {@link Authorizations} used to scan. Must be a subset of the user's authorization. Defaults to the empty set.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param auths
-    *          the user's authorizations
-    * @since 1.5.0
-    */
-   public static void setScanAuthorizations(Class<?> implementingClass, Configuration conf, Authorizations auths) {
-     if (auths != null && !auths.isEmpty())
-       conf.set(enumToConfKey(implementingClass, ScanOpts.AUTHORIZATIONS), auths.serialize());
-   }
- 
-   /**
-    * Gets the authorizations to set for the scans from the configuration.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return the Accumulo scan authorizations
-    * @since 1.5.0
-    * @see #setScanAuthorizations(Class, Configuration, Authorizations)
-    */
-   public static Authorizations getScanAuthorizations(Class<?> implementingClass, Configuration conf) {
-     String authString = conf.get(enumToConfKey(implementingClass, ScanOpts.AUTHORIZATIONS));
-     return authString == null ? Authorizations.EMPTY : new Authorizations(authString.getBytes(StandardCharsets.UTF_8));
-   }
- 
-   /**
-    * Sets the input ranges to scan on all input tables for this job. If not set, the entire table will be scanned.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param ranges
-    *          the ranges that will be mapped over
-    * @throws IllegalArgumentException
-    *           if the ranges cannot be encoded into base 64
-    * @since 1.5.0
-    */
-   public static void setRanges(Class<?> implementingClass, Configuration conf, Collection<Range> ranges) {
-     checkArgument(ranges != null, "ranges is null");
- 
-     ArrayList<String> rangeStrings = new ArrayList<String>(ranges.size());
-     try {
-       for (Range r : ranges) {
-         ByteArrayOutputStream baos = new ByteArrayOutputStream();
-         r.write(new DataOutputStream(baos));
-         rangeStrings.add(new String(Base64.encodeBase64(baos.toByteArray())));
-       }
-       conf.setStrings(enumToConfKey(implementingClass, ScanOpts.RANGES), rangeStrings.toArray(new String[0]));
-     } catch (IOException ex) {
-       throw new IllegalArgumentException("Unable to encode ranges to Base64", ex);
-     }
-   }
- 
-   /**
-    * Gets the ranges to scan over from a job.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return the ranges
-    * @throws IOException
-    *           if the ranges have been encoded improperly
-    * @since 1.5.0
-    * @see #setRanges(Class, Configuration, Collection)
-    */
-   public static List<Range> getRanges(Class<?> implementingClass, Configuration conf) throws IOException {
- 
-     Collection<String> encodedRanges = conf.getStringCollection(enumToConfKey(implementingClass, ScanOpts.RANGES));
-     List<Range> ranges = new ArrayList<Range>();
-     for (String rangeString : encodedRanges) {
-       ByteArrayInputStream bais = new ByteArrayInputStream(Base64.decodeBase64(rangeString.getBytes()));
-       Range range = new Range();
-       range.readFields(new DataInputStream(bais));
-       ranges.add(range);
-     }
-     return ranges;
-   }
- 
-   /**
-    * Gets a list of the iterator settings (for iterators to apply to a scanner) from this configuration.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return a list of iterators
-    * @since 1.5.0
-    * @see #addIterator(Class, Configuration, IteratorSetting)
-    */
-   public static List<IteratorSetting> getIterators(Class<?> implementingClass, Configuration conf) {
-     String iterators = conf.get(enumToConfKey(implementingClass, ScanOpts.ITERATORS));
- 
-     // If no iterators are present, return an empty list
-     if (iterators == null || iterators.isEmpty())
-       return new ArrayList<IteratorSetting>();
- 
-     // Compose the set of iterators encoded in the job configuration
-     StringTokenizer tokens = new StringTokenizer(iterators, StringUtils.COMMA_STR);
-     List<IteratorSetting> list = new ArrayList<IteratorSetting>();
-     try {
-       while (tokens.hasMoreTokens()) {
-         String itstring = tokens.nextToken();
-         ByteArrayInputStream bais = new ByteArrayInputStream(Base64.decodeBase64(itstring.getBytes()));
-         list.add(new IteratorSetting(new DataInputStream(bais)));
-         bais.close();
-       }
-     } catch (IOException e) {
-       throw new IllegalArgumentException("couldn't decode iterator settings");
-     }
-     return list;
-   }
- 
-   /**
-    * Restricts the columns that will be mapped over for the single input table on this job.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param columnFamilyColumnQualifierPairs
-    *          a pair of {@link Text} objects corresponding to column family and column qualifier. If the column qualifier is null, the entire column family is
-    *          selected. An empty set is the default and is equivalent to scanning the all columns.
-    * @throws IllegalArgumentException
-    *           if the column family is null
-    * @since 1.5.0
-    */
-   public static void fetchColumns(Class<?> implementingClass, Configuration conf, Collection<Pair<Text,Text>> columnFamilyColumnQualifierPairs) {
-     checkArgument(columnFamilyColumnQualifierPairs != null, "columnFamilyColumnQualifierPairs is null");
-     String[] columnStrings = serializeColumns(columnFamilyColumnQualifierPairs);
-     conf.setStrings(enumToConfKey(implementingClass, ScanOpts.COLUMNS), columnStrings);
-   }
- 
-   public static String[] serializeColumns(Collection<Pair<Text,Text>> columnFamilyColumnQualifierPairs) {
-     checkArgument(columnFamilyColumnQualifierPairs != null, "columnFamilyColumnQualifierPairs is null");
-     ArrayList<String> columnStrings = new ArrayList<String>(columnFamilyColumnQualifierPairs.size());
-     for (Pair<Text,Text> column : columnFamilyColumnQualifierPairs) {
- 
-       if (column.getFirst() == null)
-         throw new IllegalArgumentException("Column family can not be null");
- 
-       String col = new String(Base64.encodeBase64(TextUtil.getBytes(column.getFirst())), StandardCharsets.UTF_8);
-       if (column.getSecond() != null)
-         col += ":" + new String(Base64.encodeBase64(TextUtil.getBytes(column.getSecond())), StandardCharsets.UTF_8);
-       columnStrings.add(col);
-     }
- 
-     return columnStrings.toArray(new String[0]);
-   }
- 
-   /**
-    * Gets the columns to be mapped over from this job.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return a set of columns
-    * @since 1.5.0
-    * @see #fetchColumns(Class, Configuration, Collection)
-    */
-   public static Set<Pair<Text,Text>> getFetchedColumns(Class<?> implementingClass, Configuration conf) {
-     checkArgument(conf != null, "conf is null");
-     String confValue = conf.get(enumToConfKey(implementingClass, ScanOpts.COLUMNS));
-     List<String> serialized = new ArrayList<String>();
-     if (confValue != null) {
-       // Split and include any trailing empty strings to allow empty column families
-       for (String val : confValue.split(",", -1)) {
-         serialized.add(val);
-       }
-     }
-     return deserializeFetchedColumns(serialized);
-   }
- 
-   public static Set<Pair<Text,Text>> deserializeFetchedColumns(Collection<String> serialized) {
-     Set<Pair<Text,Text>> columns = new HashSet<Pair<Text,Text>>();
- 
-     if (null == serialized) {
-       return columns;
-     }
- 
-     for (String col : serialized) {
-       int idx = col.indexOf(":");
-       Text cf = new Text(idx < 0 ? Base64.decodeBase64(col.getBytes(StandardCharsets.UTF_8)) : Base64.decodeBase64(col.substring(0, idx).getBytes(StandardCharsets.UTF_8)));
-       Text cq = idx < 0 ? null : new Text(Base64.decodeBase64(col.substring(idx + 1).getBytes(StandardCharsets.UTF_8)));
-       columns.add(new Pair<Text,Text>(cf, cq));
-     }
-     return columns;
-   }
- 
-   /**
-    * Encode an iterator on the input for the single input table associated with this job.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param cfg
-    *          the configuration of the iterator
-    * @throws IllegalArgumentException
-    *           if the iterator can't be serialized into the configuration
-    * @since 1.5.0
-    */
-   public static void addIterator(Class<?> implementingClass, Configuration conf, IteratorSetting cfg) {
-     ByteArrayOutputStream baos = new ByteArrayOutputStream();
-     String newIter;
-     try {
-       cfg.write(new DataOutputStream(baos));
-       newIter = new String(Base64.encodeBase64(baos.toByteArray()), StandardCharsets.UTF_8);
-       baos.close();
-     } catch (IOException e) {
-       throw new IllegalArgumentException("unable to serialize IteratorSetting");
-     }
- 
-     String confKey = enumToConfKey(implementingClass, ScanOpts.ITERATORS);
-     String iterators = conf.get(confKey);
-     // No iterators specified yet, create a new string
-     if (iterators == null || iterators.isEmpty()) {
-       iterators = newIter;
-     } else {
-       // append the next iterator & reset
-       iterators = iterators.concat(StringUtils.COMMA_STR + newIter);
-     }
-     // Store the iterators w/ the job
-     conf.set(confKey, iterators);
-   }
- 
-   /**
-    * Controls the automatic adjustment of ranges for this job. This feature merges overlapping ranges, then splits them to align with tablet boundaries.
-    * Disabling this feature will cause exactly one Map task to be created for each specified range. The default setting is enabled. *
-    * 
-    * <p>
-    * By default, this feature is <b>enabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @see #setRanges(Class, Configuration, Collection)
-    * @since 1.5.0
-    */
-   public static void setAutoAdjustRanges(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.AUTO_ADJUST_RANGES), enableFeature);
-   }
- 
-   /**
-    * Determines whether a configuration has auto-adjust ranges enabled.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return false if the feature is disabled, true otherwise
-    * @since 1.5.0
-    * @see #setAutoAdjustRanges(Class, Configuration, boolean)
-    */
-   public static Boolean getAutoAdjustRanges(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.AUTO_ADJUST_RANGES), true);
-   }
- 
-   /**
-    * Controls the use of the {@link IsolatedScanner} in this job.
-    * 
-    * <p>
-    * By default, this feature is <b>disabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @since 1.5.0
-    */
-   public static void setScanIsolation(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.SCAN_ISOLATION), enableFeature);
-   }
- 
-   /**
-    * Determines whether a configuration has isolation enabled.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return true if the feature is enabled, false otherwise
-    * @since 1.5.0
-    * @see #setScanIsolation(Class, Configuration, boolean)
-    */
-   public static Boolean isIsolated(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.SCAN_ISOLATION), false);
-   }
- 
-   /**
-    * Controls the use of the {@link ClientSideIteratorScanner} in this job. Enabling this feature will cause the iterator stack to be constructed within the Map
-    * task, rather than within the Accumulo TServer. To use this feature, all classes needed for those iterators must be available on the classpath for the task.
-    * 
-    * <p>
-    * By default, this feature is <b>disabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @since 1.5.0
-    */
-   public static void setLocalIterators(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.USE_LOCAL_ITERATORS), enableFeature);
-   }
- 
-   /**
-    * Determines whether a configuration uses local iterators.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return true if the feature is enabled, false otherwise
-    * @since 1.5.0
-    * @see #setLocalIterators(Class, Configuration, boolean)
-    */
-   public static Boolean usesLocalIterators(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.USE_LOCAL_ITERATORS), false);
-   }
- 
-   /**
-    * <p>
-    * Enable reading offline tables. By default, this feature is disabled and only online tables are scanned. This will make the map reduce job directly read the
-    * table's files. If the table is not offline, then the job will fail. If the table comes online during the map reduce job, it is likely that the job will
-    * fail.
-    * 
-    * <p>
-    * To use this option, the map reduce user will need access to read the Accumulo directory in HDFS.
-    * 
-    * <p>
-    * Reading the offline table will create the scan time iterator stack in the map process. So any iterators that are configured for the table will need to be
-    * on the mapper's classpath.
-    * 
-    * <p>
-    * One way to use this feature is to clone a table, take the clone offline, and use the clone as the input table for a map reduce job. If you plan to map
-    * reduce over the data many times, it may be better to the compact the table, clone it, take it offline, and use the clone for all map reduce jobs. The
-    * reason to do this is that compaction will reduce each tablet in the table to one file, and it is faster to read from one file.
-    * 
-    * <p>
-    * There are two possible advantages to reading a tables file directly out of HDFS. First, you may see better read performance. Second, it will support
-    * speculative execution better. When reading an online table speculative execution can put more load on an already slow tablet server.
-    * 
-    * <p>
-    * By default, this feature is <b>disabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @since 1.5.0
-    */
-   public static void setOfflineTableScan(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.SCAN_OFFLINE), enableFeature);
-   }
- 
-   /**
-    * Determines whether a configuration has the offline table scan feature enabled.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return true if the feature is enabled, false otherwise
-    * @since 1.5.0
-    * @see #setOfflineTableScan(Class, Configuration, boolean)
-    */
-   public static Boolean isOfflineScan(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.SCAN_OFFLINE), false);
-   }
- 
-   /**
-    * Sets configurations for multiple tables at a time.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param configs
-    *          an array of {@link InputTableConfig} objects to associate with the job
-    * @since 1.6.0
-    */
-   public static void setInputTableConfigs(Class<?> implementingClass, Configuration conf, Map<String,InputTableConfig> configs) {
-     MapWritable mapWritable = new MapWritable();
-     for (Map.Entry<String,InputTableConfig> tableConfig : configs.entrySet())
-       mapWritable.put(new Text(tableConfig.getKey()), tableConfig.getValue());
- 
-     ByteArrayOutputStream baos = new ByteArrayOutputStream();
-     try {
-       mapWritable.write(new DataOutputStream(baos));
-     } catch (IOException e) {
-       throw new IllegalStateException("Table configuration could not be serialized.");
-     }
- 
-     String confKey = enumToConfKey(implementingClass, ScanOpts.TABLE_CONFIGS);
-     conf.set(confKey, new String(Base64.encodeBase64(baos.toByteArray())));
-   }
- 
-   /**
-    * Returns all {@link InputTableConfig} objects associated with this job.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return all of the table query configs for the job
-    * @since 1.6.0
-    */
-   public static Map<String,InputTableConfig> getInputTableConfigs(Class<?> implementingClass, Configuration conf) {
-     Map<String,InputTableConfig> configs = new HashMap<String,InputTableConfig>();
-     Map.Entry<String,InputTableConfig> defaultConfig = getDefaultInputTableConfig(implementingClass, conf);
-     if (defaultConfig != null)
-       configs.put(defaultConfig.getKey(), defaultConfig.getValue());
-     String configString = conf.get(enumToConfKey(implementingClass, ScanOpts.TABLE_CONFIGS));
-     MapWritable mapWritable = new MapWritable();
-     if (configString != null) {
-       try {
-         byte[] bytes = Base64.decodeBase64(configString.getBytes());
-         ByteArrayInputStream bais = new ByteArrayInputStream(bytes);
-         mapWritable.readFields(new DataInputStream(bais));
-         bais.close();
-       } catch (IOException e) {
-         throw new IllegalStateException("The table query configurations could not be deserialized from the given configuration");
-       }
-     }
-     for (Map.Entry<Writable,Writable> entry : mapWritable.entrySet())
-       configs.put(((Text) entry.getKey()).toString(), (InputTableConfig) entry.getValue());
- 
-     return configs;
-   }
- 
-   /**
-    * Returns the {@link InputTableConfig} for the given table
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param tableName
-    *          the table name for which to fetch the table query config
-    * @return the table query config for the given table name (if it exists) and null if it does not
-    * @since 1.6.0
-    */
-   public static InputTableConfig getInputTableConfig(Class<?> implementingClass, Configuration conf, String tableName) {
-     Map<String,InputTableConfig> queryConfigs = getInputTableConfigs(implementingClass, conf);
-     return queryConfigs.get(tableName);
-   }
- 
-   /**
-    * Initializes an Accumulo {@link TabletLocator} based on the configuration.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param tableId
-    *          The table id for which to initialize the {@link TabletLocator}
-    * @return an Accumulo tablet locator
-    * @throws TableNotFoundException
-    *           if the table name set on the configuration doesn't exist
-    * @since 1.5.0
-    */
-   public static TabletLocator getTabletLocator(Class<?> implementingClass, Configuration conf, String tableId) throws TableNotFoundException {
-     String instanceType = conf.get(enumToConfKey(implementingClass, InstanceOpts.TYPE));
-     if ("MockInstance".equals(instanceType))
-       return new MockTabletLocator();
-     Instance instance = getInstance(implementingClass, conf);
-     return TabletLocator.getLocator(instance, new Text(tableId));
-   }
- 
-   // InputFormat doesn't have the equivalent of OutputFormat's checkOutputSpecs(JobContext job)
-   /**
-    * Check whether a configuration is fully configured to be used with an Accumulo {@link org.apache.hadoop.mapreduce.InputFormat}.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @throws IOException
-    *           if the context is improperly configured
-    * @since 1.5.0
-    */
-   public static void validateOptions(Class<?> implementingClass, Configuration conf) throws IOException {
- 
-     Map<String,InputTableConfig> inputTableConfigs = getInputTableConfigs(implementingClass, conf);
-     if (!isConnectorInfoSet(implementingClass, conf))
-       throw new IOException("Input info has not been set.");
-     String instanceKey = conf.get(enumToConfKey(implementingClass, InstanceOpts.TYPE));
-     if (!"MockInstance".equals(instanceKey) && !"ZooKeeperInstance".equals(instanceKey))
-       throw new IOException("Instance info has not been set.");
-     // validate that we can connect as configured
-     try {
-       String principal = getPrincipal(implementingClass, conf);
-       AuthenticationToken token = getAuthenticationToken(implementingClass, conf);
-       Connector c = getInstance(implementingClass, conf).getConnector(principal, token);
-       if (!c.securityOperations().authenticateUser(principal, token))
-         throw new IOException("Unable to authenticate user");
- 
-       if (getInputTableConfigs(implementingClass, conf).size() == 0)
-         throw new IOException("No table set.");
- 
-       for (Map.Entry<String,InputTableConfig> tableConfig : inputTableConfigs.entrySet()) {
-         if (!c.securityOperations().hasTablePermission(getPrincipal(implementingClass, conf), tableConfig.getKey(), TablePermission.READ))
-           throw new IOException("Unable to access table");
-       }
-       for (Map.Entry<String,InputTableConfig> tableConfigEntry : inputTableConfigs.entrySet()) {
-         InputTableConfig tableConfig = tableConfigEntry.getValue();
-         if (!tableConfig.shouldUseLocalIterators()) {
-           if (tableConfig.getIterators() != null) {
-             for (IteratorSetting iter : tableConfig.getIterators()) {
-               if (!c.tableOperations().testClassLoad(tableConfigEntry.getKey(), iter.getIteratorClass(), SortedKeyValueIterator.class.getName()))
-                 throw new AccumuloException("Servers are unable to load " + iter.getIteratorClass() + " as a " + SortedKeyValueIterator.class.getName());
-             }
-           }
-         }
-       }
-     } catch (AccumuloException e) {
-       throw new IOException(e);
-     } catch (AccumuloSecurityException e) {
-       throw new IOException(e);
-     } catch (TableNotFoundException e) {
-       throw new IOException(e);
-     }
-   }
- 
-   /**
-    * Returns the {@link org.apache.accumulo.core.client.mapreduce.InputTableConfig} for the configuration based on the properties set using the single-table
-    * input methods.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop instance for which to retrieve the configuration
-    * @return the config object built from the single input table properties set on the job
-    * @since 1.6.0
-    */
-   protected static Map.Entry<String,InputTableConfig> getDefaultInputTableConfig(Class<?> implementingClass, Configuration conf) {
-     String tableName = getInputTableName(implementingClass, conf);
-     if (tableName != null) {
-       InputTableConfig queryConfig = new InputTableConfig();
-       List<IteratorSetting> itrs = getIterators(implementingClass, conf);
-       if (itrs != null)
-         queryConfig.setIterators(itrs);
-       Set<Pair<Text,Text>> columns = getFetchedColumns(implementingClass, conf);
-       if (columns != null)
-         queryConfig.fetchColumns(columns);
-       List<Range> ranges = null;
-       try {
-         ranges = getRanges(implementingClass, conf);
-       } catch (IOException e) {
-         throw new RuntimeException(e);
-       }
-       if (ranges != null)
-         queryConfig.setRanges(ranges);
- 
-       queryConfig.setAutoAdjustRanges(getAutoAdjustRanges(implementingClass, conf)).setUseIsolatedScanners(isIsolated(implementingClass, conf))
-           .setUseLocalIterators(usesLocalIterators(implementingClass, conf)).setOfflineScan(isOfflineScan(implementingClass, conf));
-       return Maps.immutableEntry(tableName, queryConfig);
-     }
-     return null;
-   }
- 
-   public static Map<String,Map<KeyExtent,List<Range>>> binOffline(String tableId, List<Range> ranges, Instance instance, Connector conn)
-       throws AccumuloException, TableNotFoundException {
-     Map<String,Map<KeyExtent,List<Range>>> binnedRanges = new HashMap<String,Map<KeyExtent,List<Range>>>();
- 
-     if (Tables.getTableState(instance, tableId) != TableState.OFFLINE) {
-       Tables.clearCache(instance);
-       if (Tables.getTableState(instance, tableId) != TableState.OFFLINE) {
-         throw new AccumuloException("Table is online tableId:" + tableId + " cannot scan table in offline mode ");
-       }
-     }
- 
-     for (Range range : ranges) {
-       Text startRow;
- 
-       if (range.getStartKey() != null)
-         startRow = range.getStartKey().getRow();
-       else
-         startRow = new Text();
- 
-       Range metadataRange = new Range(new KeyExtent(new Text(tableId), startRow, null).getMetadataEntry(), true, null, false);
-       Scanner scanner = conn.createScanner(MetadataTable.NAME, Authorizations.EMPTY);
-       MetadataSchema.TabletsSection.TabletColumnFamily.PREV_ROW_COLUMN.fetch(scanner);
-       scanner.fetchColumnFamily(MetadataSchema.TabletsSection.LastLocationColumnFamily.NAME);
-       scanner.fetchColumnFamily(MetadataSchema.TabletsSection.CurrentLocationColumnFamily.NAME);
-       scanner.fetchColumnFamily(MetadataSchema.TabletsSection.FutureLocationColumnFamily.NAME);
-       scanner.setRange(metadataRange);
- 
-       RowIterator rowIter = new RowIterator(scanner);
-       KeyExtent lastExtent = null;
-       while (rowIter.hasNext()) {
-         Iterator<Map.Entry<Key,Value>> row = rowIter.next();
-         String last = "";
-         KeyExtent extent = null;
-         String location = null;
- 
-         while (row.hasNext()) {
-           Map.Entry<Key,Value> entry = row.next();
-           Key key = entry.getKey();
- 
-           if (key.getColumnFamily().equals(MetadataSchema.TabletsSection.LastLocationColumnFamily.NAME)) {
-             last = entry.getValue().toString();
-           }
- 
-           if (key.getColumnFamily().equals(MetadataSchema.TabletsSection.CurrentLocationColumnFamily.NAME)
-               || key.getColumnFamily().equals(MetadataSchema.TabletsSection.FutureLocationColumnFamily.NAME)) {
-             location = entry.getValue().toString();
-           }
- 
-           if (MetadataSchema.TabletsSection.TabletColumnFamily.PREV_ROW_COLUMN.hasColumns(key)) {
-             extent = new KeyExtent(key.getRow(), entry.getValue());
-           }
- 
-         }
- 
-         if (location != null)
-           return null;
- 
-         if (!extent.getTableId().toString().equals(tableId)) {
-           throw new AccumuloException("Saw unexpected table Id " + tableId + " " + extent);
-         }
- 
-         if (lastExtent != null && !extent.isPreviousExtent(lastExtent)) {
-           throw new AccumuloException(" " + lastExtent + " is not previous extent " + extent);
-         }
- 
-         Map<KeyExtent,List<Range>> tabletRanges = binnedRanges.get(last);
-         if (tabletRanges == null) {
-           tabletRanges = new HashMap<KeyExtent,List<Range>>();
-           binnedRanges.put(last, tabletRanges);
-         }
- 
-         List<Range> rangeList = tabletRanges.get(extent);
-         if (rangeList == null) {
-           rangeList = new ArrayList<Range>();
-           tabletRanges.put(extent, rangeList);
-         }
- 
-         rangeList.add(range);
- 
-         if (extent.getEndRow() == null || range.afterEndKey(new Key(extent.getEndRow()).followingKey(PartialKey.ROW))) {
-           break;
-         }
- 
-         lastExtent = extent;
-       }
- 
-     }
-     return binnedRanges;
-   }
- }
 - * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 - * @since 1.5.0
 - */
 -@Deprecated
 -public class InputConfigurator extends ConfiguratorBase {
 -
 -  /**
 -   * Configuration keys for {@link Scanner}.
 -   * 
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static enum ScanOpts {
 -    TABLE_NAME, AUTHORIZATIONS, RANGES, COLUMNS, ITERATORS
 -  }
 -
 -  /**
 -   * Configuration keys for various features.
 -   * 
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static enum Features {
 -    AUTO_ADJUST_RANGES, SCAN_ISOLATION, USE_LOCAL_ITERATORS, SCAN_OFFLINE
 -  }
 -
 -  /**
 -   * Sets the name of the input table, over which this job will scan.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param tableName
 -   *          the table to use when the tablename is null in the write call
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setInputTableName(Class<?> implementingClass, Configuration conf, String tableName) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setInputTableName(implementingClass, conf, tableName);
 -  }
 -
 -  /**
 -   * Gets the table name from the configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return the table name
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setInputTableName(Class, Configuration, String)
 -   */
 -  @Deprecated
 -  public static String getInputTableName(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getInputTableName(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Sets the {@link Authorizations} used to scan. Must be a subset of the user's authorization. Defaults to the empty set.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param auths
 -   *          the user's authorizations
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setScanAuthorizations(Class<?> implementingClass, Configuration conf, Authorizations auths) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setScanAuthorizations(implementingClass, conf, auths);
 -  }
 -
 -  /**
 -   * Gets the authorizations to set for the scans from the configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return the Accumulo scan authorizations
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setScanAuthorizations(Class, Configuration, Authorizations)
 -   */
 -  @Deprecated
 -  public static Authorizations getScanAuthorizations(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getScanAuthorizations(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Sets the input ranges to scan for this job. If not set, the entire table will be scanned.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param ranges
 -   *          the ranges that will be mapped over
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setRanges(Class<?> implementingClass, Configuration conf, Collection<Range> ranges) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setRanges(implementingClass, conf, ranges);
 -  }
 -
 -  /**
 -   * Gets the ranges to scan over from a job.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return the ranges
 -   * @throws IOException
 -   *           if the ranges have been encoded improperly
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setRanges(Class, Configuration, Collection)
 -   */
 -  @Deprecated
 -  public static List<Range> getRanges(Class<?> implementingClass, Configuration conf) throws IOException {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getRanges(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Restricts the columns that will be mapped over for this job.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param columnFamilyColumnQualifierPairs
 -   *          a pair of {@link Text} objects corresponding to column family and column qualifier. If the column qualifier is null, the entire column family is
 -   *          selected. An empty set is the default and is equivalent to scanning the all columns.
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void fetchColumns(Class<?> implementingClass, Configuration conf, Collection<Pair<Text,Text>> columnFamilyColumnQualifierPairs) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.fetchColumns(implementingClass, conf, columnFamilyColumnQualifierPairs);
 -  }
 -
 -  /**
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   */
 -  @Deprecated
 -  public static String[] serializeColumns(Collection<Pair<Text,Text>> columnFamilyColumnQualifierPairs) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.serializeColumns(columnFamilyColumnQualifierPairs);
 -  }
 -
 -  /**
 -   * Gets the columns to be mapped over from this job.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return a set of columns
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #fetchColumns(Class, Configuration, Collection)
 -   */
 -  @Deprecated
 -  public static Set<Pair<Text,Text>> getFetchedColumns(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getFetchedColumns(implementingClass, conf);
 -  }
 -
 -  /**
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   */
 -  @Deprecated
 -  public static Set<Pair<Text,Text>> deserializeFetchedColumns(Collection<String> serialized) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.deserializeFetchedColumns(serialized);
 -  }
 -
 -  /**
 -   * Encode an iterator on the input for this job.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param cfg
 -   *          the configuration of the iterator
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void addIterator(Class<?> implementingClass, Configuration conf, IteratorSetting cfg) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.addIterator(implementingClass, conf, cfg);
 -  }
 -
 -  /**
 -   * Gets a list of the iterator settings (for iterators to apply to a scanner) from this configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return a list of iterators
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #addIterator(Class, Configuration, IteratorSetting)
 -   */
 -  @Deprecated
 -  public static List<IteratorSetting> getIterators(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getIterators(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Controls the automatic adjustment of ranges for this job. This feature merges overlapping ranges, then splits them to align with tablet boundaries.
 -   * Disabling this feature will cause exactly one Map task to be created for each specified range. The default setting is enabled. *
 -   * 
 -   * <p>
 -   * By default, this feature is <b>enabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @see #setRanges(Class, Configuration, Collection)
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setAutoAdjustRanges(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setAutoAdjustRanges(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether a configuration has auto-adjust ranges enabled.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return false if the feature is disabled, true otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setAutoAdjustRanges(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean getAutoAdjustRanges(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getAutoAdjustRanges(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Controls the use of the {@link IsolatedScanner} in this job.
 -   * 
 -   * <p>
 -   * By default, this feature is <b>disabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setScanIsolation(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setScanIsolation(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether a configuration has isolation enabled.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return true if the feature is enabled, false otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setScanIsolation(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean isIsolated(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.isIsolated(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Controls the use of the {@link ClientSideIteratorScanner} in this job. Enabling this feature will cause the iterator stack to be constructed within the Map
 -   * task, rather than within the Accumulo TServer. To use this feature, all classes needed for those iterators must be available on the classpath for the task.
 -   * 
 -   * <p>
 -   * By default, this feature is <b>disabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setLocalIterators(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setLocalIterators(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether a configuration uses local iterators.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return true if the feature is enabled, false otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setLocalIterators(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean usesLocalIterators(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.usesLocalIterators(implementingClass, conf);
 -  }
 -
 -  /**
 -   * <p>
 -   * Enable reading offline tables. By default, this feature is disabled and only online tables are scanned. This will make the map reduce job directly read the
 -   * table's files. If the table is not offline, then the job will fail. If the table comes online during the map reduce job, it is likely that the job will
 -   * fail.
 -   * 
 -   * <p>
 -   * To use this option, the map reduce user will need access to read the Accumulo directory in HDFS.
 -   * 
 -   * <p>
 -   * Reading the offline table will create the scan time iterator stack in the map process. So any iterators that are configured for the table will need to be
 -   * on the mapper's classpath. The accumulo-site.xml may need to be on the mapper's classpath if HDFS or the Accumulo directory in HDFS are non-standard.
 -   * 
 -   * <p>
 -   * One way to use this feature is to clone a table, take the clone offline, and use the clone as the input table for a map reduce job. If you plan to map
 -   * reduce over the data many times, it may be better to the compact the table, clone it, take it offline, and use the clone for all map reduce jobs. The
 -   * reason to do this is that compaction will reduce each tablet in the table to one file, and it is faster to read from one file.
 -   * 
 -   * <p>
 -   * There are two possible advantages to reading a tables file directly out of HDFS. First, you may see better read performance. Second, it will support
 -   * speculative execution better. When reading an online table speculative execution can put more load on an already slow tablet server.
 -   * 
 -   * <p>
 -   * By default, this feature is <b>disabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setOfflineTableScan(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.setOfflineTableScan(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether a configuration has the offline table scan feature enabled.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return true if the feature is enabled, false otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setOfflineTableScan(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean isOfflineScan(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.isOfflineScan(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Initializes an Accumulo {@link TabletLocator} based on the configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return an Accumulo tablet locator
 -   * @throws TableNotFoundException
 -   *           if the table name set on the configuration doesn't exist
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static TabletLocator getTabletLocator(Class<?> implementingClass, Configuration conf) throws TableNotFoundException {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.getTabletLocator(implementingClass, conf,
 -        Tables.getTableId(getInstance(implementingClass, conf), getInputTableName(implementingClass, conf)));
 -  }
 -
 -  // InputFormat doesn't have the equivalent of OutputFormat's checkOutputSpecs(JobContext job)
 -  /**
 -   * Check whether a configuration is fully configured to be used with an Accumulo {@link org.apache.hadoop.mapreduce.InputFormat}.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @throws IOException
 -   *           if the context is improperly configured
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void validateOptions(Class<?> implementingClass, Configuration conf) throws IOException {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator.validateOptions(implementingClass, conf);
 -  }
 -
 -}

http://git-wip-us.apache.org/repos/asf/accumulo/blob/bf102d07/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/OutputConfigurator.java
----------------------------------------------------------------------
diff --cc core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/OutputConfigurator.java
index 81f81a7,b1afa43..0000000
deleted file mode 100644,100644
--- a/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/OutputConfigurator.java
+++ /dev/null
@@@ -1,204 -1,196 +1,0 @@@
--/*
-- * 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.
-- */
--package org.apache.accumulo.core.client.mapreduce.lib.util;
--
- import java.io.ByteArrayInputStream;
- import java.io.ByteArrayOutputStream;
- import java.io.DataInputStream;
- import java.io.DataOutputStream;
- import java.io.IOException;
- import java.nio.charset.StandardCharsets;
- 
--import org.apache.accumulo.core.client.BatchWriter;
--import org.apache.accumulo.core.client.BatchWriterConfig;
--import org.apache.hadoop.conf.Configuration;
--
--/**
-  * @since 1.5.0
-  */
- public class OutputConfigurator extends ConfiguratorBase {
-   
-   /**
-    * Configuration keys for {@link BatchWriter}.
-    * 
-    * @since 1.5.0
-    */
-   public static enum WriteOpts {
-     DEFAULT_TABLE_NAME, BATCH_WRITER_CONFIG
-   }
-   
-   /**
-    * Configuration keys for various features.
-    * 
-    * @since 1.5.0
-    */
-   public static enum Features {
-     CAN_CREATE_TABLES, SIMULATION_MODE
-   }
-   
-   /**
-    * Sets the default table name to use if one emits a null in place of a table name for a given mutation. Table names can only be alpha-numeric and
-    * underscores.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param tableName
-    *          the table to use when the tablename is null in the write call
-    * @since 1.5.0
-    */
-   public static void setDefaultTableName(Class<?> implementingClass, Configuration conf, String tableName) {
-     if (tableName != null)
-       conf.set(enumToConfKey(implementingClass, WriteOpts.DEFAULT_TABLE_NAME), tableName);
-   }
-   
-   /**
-    * Gets the default table name from the configuration.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return the default table name
-    * @since 1.5.0
-    * @see #setDefaultTableName(Class, Configuration, String)
-    */
-   public static String getDefaultTableName(Class<?> implementingClass, Configuration conf) {
-     return conf.get(enumToConfKey(implementingClass, WriteOpts.DEFAULT_TABLE_NAME));
-   }
-   
-   /**
-    * Sets the configuration for for the job's {@link BatchWriter} instances. If not set, a new {@link BatchWriterConfig}, with sensible built-in defaults is
-    * used. Setting the configuration multiple times overwrites any previous configuration.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param bwConfig
-    *          the configuration for the {@link BatchWriter}
-    * @since 1.5.0
-    */
-   public static void setBatchWriterOptions(Class<?> implementingClass, Configuration conf, BatchWriterConfig bwConfig) {
-     ByteArrayOutputStream baos = new ByteArrayOutputStream();
-     String serialized;
-     try {
-       bwConfig.write(new DataOutputStream(baos));
-       serialized = new String(baos.toByteArray(), StandardCharsets.UTF_8);
-       baos.close();
-     } catch (IOException e) {
-       throw new IllegalArgumentException("unable to serialize " + BatchWriterConfig.class.getName());
-     }
-     conf.set(enumToConfKey(implementingClass, WriteOpts.BATCH_WRITER_CONFIG), serialized);
-   }
-   
-   /**
-    * Gets the {@link BatchWriterConfig} settings.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return the configuration object
-    * @since 1.5.0
-    * @see #setBatchWriterOptions(Class, Configuration, BatchWriterConfig)
-    */
-   public static BatchWriterConfig getBatchWriterOptions(Class<?> implementingClass, Configuration conf) {
-     String serialized = conf.get(enumToConfKey(implementingClass, WriteOpts.BATCH_WRITER_CONFIG));
-     BatchWriterConfig bwConfig = new BatchWriterConfig();
-     if (serialized == null || serialized.isEmpty()) {
-       return bwConfig;
-     } else {
-       try {
-         ByteArrayInputStream bais = new ByteArrayInputStream(serialized.getBytes(StandardCharsets.UTF_8));
-         bwConfig.readFields(new DataInputStream(bais));
-         bais.close();
-         return bwConfig;
-       } catch (IOException e) {
-         throw new IllegalArgumentException("unable to serialize " + BatchWriterConfig.class.getName());
-       }
-     }
-   }
-   
-   /**
-    * Sets the directive to create new tables, as necessary. Table names can only be alpha-numeric and underscores.
-    * 
-    * <p>
-    * By default, this feature is <b>disabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @since 1.5.0
-    */
-   public static void setCreateTables(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.CAN_CREATE_TABLES), enableFeature);
-   }
-   
-   /**
-    * Determines whether tables are permitted to be created as needed.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return true if the feature is disabled, false otherwise
-    * @since 1.5.0
-    * @see #setCreateTables(Class, Configuration, boolean)
-    */
-   public static Boolean canCreateTables(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.CAN_CREATE_TABLES), false);
-   }
-   
-   /**
-    * Sets the directive to use simulation mode for this job. In simulation mode, no output is produced. This is useful for testing.
-    * 
-    * <p>
-    * By default, this feature is <b>disabled</b>.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @param enableFeature
-    *          the feature is enabled if true, disabled otherwise
-    * @since 1.5.0
-    */
-   public static void setSimulationMode(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
-     conf.setBoolean(enumToConfKey(implementingClass, Features.SIMULATION_MODE), enableFeature);
-   }
-   
-   /**
-    * Determines whether this feature is enabled.
-    * 
-    * @param implementingClass
-    *          the class whose name will be used as a prefix for the property configuration key
-    * @param conf
-    *          the Hadoop configuration object to configure
-    * @return true if the feature is enabled, false otherwise
-    * @since 1.5.0
-    * @see #setSimulationMode(Class, Configuration, boolean)
-    */
-   public static Boolean getSimulationMode(Class<?> implementingClass, Configuration conf) {
-     return conf.getBoolean(enumToConfKey(implementingClass, Features.SIMULATION_MODE), false);
-   }
-   
- }
 - * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 - * @since 1.5.0
 - */
 -@Deprecated
 -public class OutputConfigurator extends ConfiguratorBase {
 -
 -  /**
 -   * Configuration keys for {@link BatchWriter}.
 -   * 
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static enum WriteOpts {
 -    DEFAULT_TABLE_NAME, BATCH_WRITER_CONFIG
 -  }
 -
 -  /**
 -   * Configuration keys for various features.
 -   * 
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static enum Features {
 -    CAN_CREATE_TABLES, SIMULATION_MODE
 -  }
 -
 -  /**
 -   * Sets the default table name to use if one emits a null in place of a table name for a given mutation. Table names can only be alpha-numeric and
 -   * underscores.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param tableName
 -   *          the table to use when the tablename is null in the write call
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setDefaultTableName(Class<?> implementingClass, Configuration conf, String tableName) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.setDefaultTableName(implementingClass, conf, tableName);
 -  }
 -
 -  /**
 -   * Gets the default table name from the configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return the default table name
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setDefaultTableName(Class, Configuration, String)
 -   */
 -  @Deprecated
 -  public static String getDefaultTableName(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.getDefaultTableName(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Sets the configuration for for the job's {@link BatchWriter} instances. If not set, a new {@link BatchWriterConfig}, with sensible built-in defaults is
 -   * used. Setting the configuration multiple times overwrites any previous configuration.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param bwConfig
 -   *          the configuration for the {@link BatchWriter}
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setBatchWriterOptions(Class<?> implementingClass, Configuration conf, BatchWriterConfig bwConfig) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.setBatchWriterOptions(implementingClass, conf, bwConfig);
 -  }
 -
 -  /**
 -   * Gets the {@link BatchWriterConfig} settings.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return the configuration object
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setBatchWriterOptions(Class, Configuration, BatchWriterConfig)
 -   */
 -  @Deprecated
 -  public static BatchWriterConfig getBatchWriterOptions(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.getBatchWriterOptions(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Sets the directive to create new tables, as necessary. Table names can only be alpha-numeric and underscores.
 -   * 
 -   * <p>
 -   * By default, this feature is <b>disabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setCreateTables(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.setCreateTables(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether tables are permitted to be created as needed.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return true if the feature is disabled, false otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setCreateTables(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean canCreateTables(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.canCreateTables(implementingClass, conf);
 -  }
 -
 -  /**
 -   * Sets the directive to use simulation mode for this job. In simulation mode, no output is produced. This is useful for testing.
 -   * 
 -   * <p>
 -   * By default, this feature is <b>disabled</b>.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @param enableFeature
 -   *          the feature is enabled if true, disabled otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   */
 -  @Deprecated
 -  public static void setSimulationMode(Class<?> implementingClass, Configuration conf, boolean enableFeature) {
 -    org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.setSimulationMode(implementingClass, conf, enableFeature);
 -  }
 -
 -  /**
 -   * Determines whether this feature is enabled.
 -   * 
 -   * @param implementingClass
 -   *          the class whose name will be used as a prefix for the property configuration key
 -   * @param conf
 -   *          the Hadoop configuration object to configure
 -   * @return true if the feature is enabled, false otherwise
 -   * @deprecated since 1.6.0; Configure your job with the appropriate InputFormat or OutputFormat.
 -   * @since 1.5.0
 -   * @see #setSimulationMode(Class, Configuration, boolean)
 -   */
 -  @Deprecated
 -  public static Boolean getSimulationMode(Class<?> implementingClass, Configuration conf) {
 -    return org.apache.accumulo.core.client.mapreduce.lib.impl.OutputConfigurator.getSimulationMode(implementingClass, conf);
 -  }
 -
 -}

http://git-wip-us.apache.org/repos/asf/accumulo/blob/bf102d07/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/package-info.java
----------------------------------------------------------------------
diff --cc core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/package-info.java
index 013cb79,53bda87..0000000
deleted file mode 100644,100644
--- a/core/src/main/java/org/apache/accumulo/core/client/mapreduce/lib/util/package-info.java
+++ /dev/null
@@@ -1,34 -1,21 +1,0 @@@
--/*
-- * 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 package exists to store common helpers for configuring MapReduce jobs in a single location. It contains static configurator methods, stored in classes
-  * separate from the things they configure (typically, {@link org.apache.accumulo.core.client.mapreduce.AccumuloInputFormat}/
-  * {@link org.apache.accumulo.core.client.mapreduce.AccumuloOutputFormat} and related classes in compatible frameworks), rather than storing them in those
-  * InputFormats/OutputFormats, so as not to clutter their API with methods that don't match the conventions for that framework. These classes may be useful to
-  * input/output plugins for other frameworks, so they can reuse the same configuration options and/or serialize them into a
-  * {@link org.apache.hadoop.conf.Configuration} instance in a standard way.
-  * 
-  * <p>
-  * It is not expected these will change much (except when new features are added), but end users should not use these classes. They should use the static
-  * configurators on the {@link org.apache.hadoop.mapreduce.InputFormat} or {@link org.apache.hadoop.mapreduce.OutputFormat} they are configuring, which in turn
-  * may use these classes to implement their own static configurators. Once again, these classes are intended for internal use, but may be useful to developers
-  * of plugins for other frameworks that read/write to Accumulo.
-  * 
-  * @since 1.5.0
-  */
- package org.apache.accumulo.core.client.mapreduce.lib.util;
- 
 - * @deprecated since 1.6.0; This package was moved out of the public API.
 - * @since 1.5.0
 - */
 -package org.apache.accumulo.core.client.mapreduce.lib.util;


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