WIP Merge branch 'ACCUMULO-1854-merge' into ACCUMULO-1854-1.5-merge
Conflicts:
core/src/main/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormat.java
src/core/src/main/java/org/apache/accumulo/core/client/mapreduce/InputFormatBase.java
src/core/src/test/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormatTest.java
src/core/src/test/java/org/apache/accumulo/core/client/mapreduce/AccumuloRowInputFormatTest.java
src/examples/simple/src/test/java/org/apache/accumulo/examples/simple/filedata/ChunkInputFormatTest.java
Project: http://git-wip-us.apache.org/repos/asf/accumulo/repo
Commit: http://git-wip-us.apache.org/repos/asf/accumulo/commit/16a2e0f0
Tree: http://git-wip-us.apache.org/repos/asf/accumulo/tree/16a2e0f0
Diff: http://git-wip-us.apache.org/repos/asf/accumulo/diff/16a2e0f0
Branch: refs/heads/1.5.1-SNAPSHOT
Commit: 16a2e0f0a1b367100355a232b22b735a8c06db1e
Parents: df053b4 45ae55f
Author: Josh Elser <[email protected]>
Authored: Thu Nov 21 19:10:43 2013 -0500
Committer: Josh Elser <[email protected]>
Committed: Thu Nov 21 19:10:43 2013 -0500
----------------------------------------------------------------------
.../core/client/mapred/InputFormatBase.java | 26 +-
.../client/mapreduce/AccumuloInputFormat.java | 11 +
.../core/client/mapreduce/InputFormatBase.java | 214 +++-----
.../core/client/mapreduce/RangeInputSplit.java | 503 +++++++++++++++++
.../mapreduce/lib/util/InputConfigurator.java | 31 +-
.../core/security/CredentialHelper.java | 2 +-
.../mapreduce/AccumuloInputFormatTest1.java | 534 +++++++++++++++++++
.../client/mapreduce/RangeInputSplitTest.java | 100 ++++
8 files changed, 1251 insertions(+), 170 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/accumulo/blob/16a2e0f0/core/src/main/java/org/apache/accumulo/core/client/mapred/InputFormatBase.java
----------------------------------------------------------------------
diff --cc
core/src/main/java/org/apache/accumulo/core/client/mapred/InputFormatBase.java
index b502b1f,0000000..8d3d710
mode 100644,000000..100644
---
a/core/src/main/java/org/apache/accumulo/core/client/mapred/InputFormatBase.java
+++
b/core/src/main/java/org/apache/accumulo/core/client/mapred/InputFormatBase.java
@@@ -1,843 -1,0 +1,825 @@@
+/*
+ * 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.mapred;
+
+import java.io.IOException;
+import java.net.InetAddress;
+import java.nio.ByteBuffer;
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.HashMap;
+import java.util.Iterator;
+import java.util.List;
+import java.util.Map;
+import java.util.Map.Entry;
+import java.util.Set;
+
+import org.apache.accumulo.core.Constants;
+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.TableDeletedException;
+import org.apache.accumulo.core.client.TableNotFoundException;
+import org.apache.accumulo.core.client.TableOfflineException;
+import org.apache.accumulo.core.client.ZooKeeperInstance;
+import org.apache.accumulo.core.client.impl.OfflineScanner;
+import org.apache.accumulo.core.client.impl.Tables;
+import org.apache.accumulo.core.client.impl.TabletLocator;
++import org.apache.accumulo.core.client.mapreduce.RangeInputSplit;
+import org.apache.accumulo.core.client.mapreduce.lib.util.InputConfigurator;
+import org.apache.accumulo.core.client.mock.MockInstance;
+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.master.state.tables.TableState;
+import org.apache.accumulo.core.security.Authorizations;
+import org.apache.accumulo.core.security.CredentialHelper;
+import org.apache.accumulo.core.security.thrift.TCredentials;
+import org.apache.accumulo.core.util.Pair;
+import org.apache.accumulo.core.util.UtilWaitThread;
+import org.apache.hadoop.io.Text;
+import org.apache.hadoop.mapred.InputFormat;
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.RecordReader;
+import org.apache.hadoop.mapred.Reporter;
+import org.apache.log4j.Level;
+import org.apache.log4j.Logger;
+
+/**
+ * This abstract {@link InputFormat} class allows MapReduce jobs to use
Accumulo as the source of K,V pairs.
+ * <p>
+ * Subclasses must implement a {@link #getRecordReader(InputSplit, JobConf,
Reporter)} to provide a {@link RecordReader} for K,V.
+ * <p>
+ * A static base class, RecordReaderBase, is provided to retrieve Accumulo
{@link Key}/{@link Value} pairs, but one must implement its
+ * {@link RecordReaderBase#next(Object, Object)} to transform them to the
desired generic types K,V.
+ * <p>
+ * See {@link AccumuloInputFormat} for an example implementation.
+ */
+public abstract class InputFormatBase<K,V> implements InputFormat<K,V> {
+
+ private static final Class<?> CLASS = AccumuloInputFormat.class;
+ protected static final Logger log = Logger.getLogger(CLASS);
+
+ /**
+ * Sets the connector information needed to communicate with Accumulo in
this job.
+ *
+ * <p>
+ * <b>WARNING:</b> The serialized token is stored in the configuration and
shared with all MapReduce tasks. It is BASE64 encoded to provide a charset safe
+ * conversion to a string, and is not intended to be secure.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param principal
+ * a valid Accumulo user name (user must have Table.CREATE
permission)
+ * @param token
+ * the user's password
+ * @throws AccumuloSecurityException
+ * @since 1.5.0
+ */
+ public static void setConnectorInfo(JobConf job, String principal,
AuthenticationToken token) throws AccumuloSecurityException {
+ InputConfigurator.setConnectorInfo(CLASS, job, principal, token);
+ }
+
+ /**
+ * Determines if the connector has been configured.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return true if the connector has been configured, false otherwise
+ * @since 1.5.0
+ * @see #setConnectorInfo(JobConf, String, AuthenticationToken)
+ */
+ protected static Boolean isConnectorInfoSet(JobConf job) {
+ return InputConfigurator.isConnectorInfoSet(CLASS, job);
+ }
+
+ /**
+ * Gets the user name from the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the user name
+ * @since 1.5.0
+ * @see #setConnectorInfo(JobConf, String, AuthenticationToken)
+ */
+ protected static String getPrincipal(JobConf job) {
+ return InputConfigurator.getPrincipal(CLASS, job);
+ }
+
+ /**
+ * Gets the serialized token class from the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the user name
+ * @since 1.5.0
+ * @see #setConnectorInfo(JobConf, String, AuthenticationToken)
+ */
+ protected static String getTokenClass(JobConf job) {
+ return InputConfigurator.getTokenClass(CLASS, job);
+ }
+
+ /**
+ * Gets the password from the configuration. WARNING: The password is
stored in the Configuration and shared with all MapReduce tasks; It is BASE64
encoded to
+ * provide a charset safe conversion to a string, and is not intended to be
secure.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the decoded user password
+ * @since 1.5.0
+ * @see #setConnectorInfo(JobConf, String, AuthenticationToken)
+ */
+ protected static byte[] getToken(JobConf job) {
+ return InputConfigurator.getToken(CLASS, job);
+ }
+
+ /**
+ * Configures a {@link ZooKeeperInstance} for this job.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param instanceName
+ * the Accumulo instance name
+ * @param zooKeepers
+ * a comma-separated list of zookeeper servers
+ * @since 1.5.0
+ */
+ public static void setZooKeeperInstance(JobConf job, String instanceName,
String zooKeepers) {
+ InputConfigurator.setZooKeeperInstance(CLASS, job, instanceName,
zooKeepers);
+ }
+
+ /**
+ * Configures a {@link MockInstance} for this job.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param instanceName
+ * the Accumulo instance name
+ * @since 1.5.0
+ */
+ public static void setMockInstance(JobConf job, String instanceName) {
+ InputConfigurator.setMockInstance(CLASS, job, instanceName);
+ }
+
+ /**
+ * Initializes an Accumulo {@link Instance} based on the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return an Accumulo instance
+ * @since 1.5.0
+ * @see #setZooKeeperInstance(JobConf, String, String)
+ * @see #setMockInstance(JobConf, String)
+ */
+ protected static Instance getInstance(JobConf job) {
+ return InputConfigurator.getInstance(CLASS, job);
+ }
+
+ /**
+ * Sets the log level for this job.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param level
+ * the logging level
+ * @since 1.5.0
+ */
+ public static void setLogLevel(JobConf job, Level level) {
+ InputConfigurator.setLogLevel(CLASS, job, level);
+ }
+
+ /**
+ * Gets the log level from this configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the log level
+ * @since 1.5.0
+ * @see #setLogLevel(JobConf, Level)
+ */
+ protected static Level getLogLevel(JobConf job) {
+ return InputConfigurator.getLogLevel(CLASS, job);
+ }
+
+ /**
+ * Sets the name of the input table, over which this job will scan.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param tableName
+ * the table to use when the tablename is null in the write call
+ * @since 1.5.0
+ */
+ public static void setInputTableName(JobConf job, String tableName) {
+ InputConfigurator.setInputTableName(CLASS, job, tableName);
+ }
+
+ /**
+ * Gets the table name from the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the table name
+ * @since 1.5.0
+ * @see #setInputTableName(JobConf, String)
+ */
+ protected static String getInputTableName(JobConf job) {
+ return InputConfigurator.getInputTableName(CLASS, job);
+ }
+
+ /**
+ * Sets the {@link Authorizations} used to scan. Must be a subset of the
user's authorization. Defaults to the empty set.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param auths
+ * the user's authorizations
+ * @since 1.5.0
+ */
+ public static void setScanAuthorizations(JobConf job, Authorizations auths)
{
+ InputConfigurator.setScanAuthorizations(CLASS, job, auths);
+ }
+
+ /**
+ * Gets the authorizations to set for the scans from the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the Accumulo scan authorizations
+ * @since 1.5.0
+ * @see #setScanAuthorizations(JobConf, Authorizations)
+ */
+ protected static Authorizations getScanAuthorizations(JobConf job) {
+ return InputConfigurator.getScanAuthorizations(CLASS, job);
+ }
+
+ /**
+ * Sets the input ranges to scan for this job. If not set, the entire table
will be scanned.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param ranges
+ * the ranges that will be mapped over
+ * @since 1.5.0
+ */
+ public static void setRanges(JobConf job, Collection<Range> ranges) {
+ InputConfigurator.setRanges(CLASS, job, ranges);
+ }
+
+ /**
+ * Gets the ranges to scan over from a job.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return the ranges
+ * @throws IOException
+ * if the ranges have been encoded improperly
+ * @since 1.5.0
+ * @see #setRanges(JobConf, Collection)
+ */
+ protected static List<Range> getRanges(JobConf job) throws IOException {
+ return InputConfigurator.getRanges(CLASS, job);
+ }
+
+ /**
+ * Restricts the columns that will be mapped over for this job.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @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.
+ * @since 1.5.0
+ */
+ public static void fetchColumns(JobConf job, Collection<Pair<Text,Text>>
columnFamilyColumnQualifierPairs) {
+ InputConfigurator.fetchColumns(CLASS, job,
columnFamilyColumnQualifierPairs);
+ }
+
+ /**
+ * Gets the columns to be mapped over from this job.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return a set of columns
+ * @since 1.5.0
+ * @see #fetchColumns(JobConf, Collection)
+ */
+ protected static Set<Pair<Text,Text>> getFetchedColumns(JobConf job) {
+ return InputConfigurator.getFetchedColumns(CLASS, job);
+ }
+
+ /**
+ * Encode an iterator on the input for this job.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param cfg
+ * the configuration of the iterator
+ * @since 1.5.0
+ */
+ public static void addIterator(JobConf job, IteratorSetting cfg) {
+ InputConfigurator.addIterator(CLASS, job, cfg);
+ }
+
+ /**
+ * Gets a list of the iterator settings (for iterators to apply to a
scanner) from this configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return a list of iterators
+ * @since 1.5.0
+ * @see #addIterator(JobConf, IteratorSetting)
+ */
+ protected static List<IteratorSetting> getIterators(JobConf job) {
+ return InputConfigurator.getIterators(CLASS, job);
+ }
+
+ /**
+ * 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 job
+ * the Hadoop job instance to be configured
+ * @param enableFeature
+ * the feature is enabled if true, disabled otherwise
+ * @see #setRanges(JobConf, Collection)
+ * @since 1.5.0
+ */
+ public static void setAutoAdjustRanges(JobConf job, boolean enableFeature) {
+ InputConfigurator.setAutoAdjustRanges(CLASS, job, enableFeature);
+ }
+
+ /**
+ * Determines whether a configuration has auto-adjust ranges enabled.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return false if the feature is disabled, true otherwise
+ * @since 1.5.0
+ * @see #setAutoAdjustRanges(JobConf, boolean)
+ */
+ protected static boolean getAutoAdjustRanges(JobConf job) {
+ return InputConfigurator.getAutoAdjustRanges(CLASS, job);
+ }
+
+ /**
+ * Controls the use of the {@link IsolatedScanner} in this job.
+ *
+ * <p>
+ * By default, this feature is <b>disabled</b>.
+ *
+ * @param job
+ * the Hadoop job instance to be configured
+ * @param enableFeature
+ * the feature is enabled if true, disabled otherwise
+ * @since 1.5.0
+ */
+ public static void setScanIsolation(JobConf job, boolean enableFeature) {
+ InputConfigurator.setScanIsolation(CLASS, job, enableFeature);
+ }
+
+ /**
+ * Determines whether a configuration has isolation enabled.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return true if the feature is enabled, false otherwise
+ * @since 1.5.0
+ * @see #setScanIsolation(JobConf, boolean)
+ */
+ protected static boolean isIsolated(JobConf job) {
+ return InputConfigurator.isIsolated(CLASS, job);
+ }
+
+ /**
+ * 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 job
+ * the Hadoop job instance to be configured
+ * @param enableFeature
+ * the feature is enabled if true, disabled otherwise
+ * @since 1.5.0
+ */
+ public static void setLocalIterators(JobConf job, boolean enableFeature) {
+ InputConfigurator.setLocalIterators(CLASS, job, enableFeature);
+ }
+
+ /**
+ * Determines whether a configuration uses local iterators.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return true if the feature is enabled, false otherwise
+ * @since 1.5.0
+ * @see #setLocalIterators(JobConf, boolean)
+ */
+ protected static boolean usesLocalIterators(JobConf job) {
+ return InputConfigurator.usesLocalIterators(CLASS, job);
+ }
+
+ /**
+ * <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 job
+ * the Hadoop job instance to be configured
+ * @param enableFeature
+ * the feature is enabled if true, disabled otherwise
+ * @since 1.5.0
+ */
+ public static void setOfflineTableScan(JobConf job, boolean enableFeature) {
+ InputConfigurator.setOfflineTableScan(CLASS, job, enableFeature);
+ }
+
+ /**
+ * Determines whether a configuration has the offline table scan feature
enabled.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return true if the feature is enabled, false otherwise
+ * @since 1.5.0
+ * @see #setOfflineTableScan(JobConf, boolean)
+ */
+ protected static boolean isOfflineScan(JobConf job) {
+ return InputConfigurator.isOfflineScan(CLASS, job);
+ }
+
+ /**
+ * Initializes an Accumulo {@link TabletLocator} based on the configuration.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @return an Accumulo tablet locator
+ * @throws TableNotFoundException
+ * if the table name set on the configuration doesn't exist
+ * @since 1.5.0
+ */
+ protected static TabletLocator getTabletLocator(JobConf job) throws
TableNotFoundException {
+ return InputConfigurator.getTabletLocator(CLASS, job);
+ }
+
+ // 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 job
+ * the Hadoop context for the configured job
+ * @throws IOException
+ * if the context is improperly configured
+ * @since 1.5.0
+ */
+ protected static void validateOptions(JobConf job) throws IOException {
+ InputConfigurator.validateOptions(CLASS, job);
+ }
+
+ /**
+ * An abstract base class to be used to create {@link RecordReader}
instances that convert from Accumulo {@link Key}/{@link Value} pairs to the
user's K/V
+ * types.
+ *
+ * Subclasses must implement {@link #next(Object, Object)} to update key
and value, and also to update the following variables:
+ * <ul>
+ * <li>Key {@link #currentKey} (used for progress reporting)</li>
+ * <li>int {@link #numKeysRead} (used for progress reporting)</li>
+ * </ul>
+ */
+ protected abstract static class RecordReaderBase<K,V> implements
RecordReader<K,V> {
+ protected long numKeysRead;
+ protected Iterator<Entry<Key,Value>> scannerIterator;
+ protected RangeInputSplit split;
+
+ /**
+ * Apply the configured iterators from the configuration to the scanner.
+ *
+ * @param job
+ * the Hadoop context for the configured job
+ * @param scanner
+ * the scanner to configure
+ */
+ protected void setupIterators(JobConf job, Scanner scanner) {
+ List<IteratorSetting> iterators = getIterators(job);
+ for (IteratorSetting iterator : iterators) {
+ scanner.addScanIterator(iterator);
+ }
+ }
+
+ /**
+ * Initialize a scanner over the given input split using this task
attempt configuration.
+ */
+ public void initialize(InputSplit inSplit, JobConf job) throws
IOException {
+ Scanner scanner;
+ split = (RangeInputSplit) inSplit;
+ log.debug("Initializing input split: " + split.getRange());
+ Instance instance = getInstance(job);
+ String user = getPrincipal(job);
+ String tokenClass = getTokenClass(job);
+ byte[] password = getToken(job);
+ Authorizations authorizations = getScanAuthorizations(job);
+
+ try {
+ log.debug("Creating connector with user: " + user);
+ Connector conn = instance.getConnector(user,
CredentialHelper.extractToken(tokenClass, password));
+ log.debug("Creating scanner for table: " + getInputTableName(job));
+ log.debug("Authorizations are: " + authorizations);
+ if (isOfflineScan(job)) {
+ scanner = new OfflineScanner(instance, new TCredentials(user,
tokenClass, ByteBuffer.wrap(password), instance.getInstanceID()),
Tables.getTableId(
+ instance, getInputTableName(job)), authorizations);
+ } else {
+ scanner = conn.createScanner(getInputTableName(job),
authorizations);
+ }
+ if (isIsolated(job)) {
+ log.info("Creating isolated scanner");
+ scanner = new IsolatedScanner(scanner);
+ }
+ if (usesLocalIterators(job)) {
+ log.info("Using local iterators");
+ scanner = new ClientSideIteratorScanner(scanner);
+ }
+ setupIterators(job, scanner);
+ } catch (Exception e) {
+ throw new IOException(e);
+ }
+
+ // setup a scanner within the bounds of this split
+ for (Pair<Text,Text> c : getFetchedColumns(job)) {
+ if (c.getSecond() != null) {
+ log.debug("Fetching column " + c.getFirst() + ":" + c.getSecond());
+ scanner.fetchColumn(c.getFirst(), c.getSecond());
+ } else {
+ log.debug("Fetching column family " + c.getFirst());
+ scanner.fetchColumnFamily(c.getFirst());
+ }
+ }
+
+ scanner.setRange(split.getRange());
+
+ numKeysRead = 0;
+
+ // do this last after setting all scanner options
+ scannerIterator = scanner.iterator();
+ }
+
+ @Override
+ public void close() {}
+
+ @Override
+ public long getPos() throws IOException {
+ return numKeysRead;
+ }
+
+ @Override
+ public float getProgress() throws IOException {
+ if (numKeysRead > 0 && currentKey == null)
+ return 1.0f;
+ return split.getProgress(currentKey);
+ }
+
+ protected Key currentKey = null;
+
+ }
+
+ Map<String,Map<KeyExtent,List<Range>>> binOfflineTable(JobConf job, String
tableName, List<Range> ranges) throws TableNotFoundException, AccumuloException,
+ AccumuloSecurityException {
+
+ Map<String,Map<KeyExtent,List<Range>>> binnedRanges = new
HashMap<String,Map<KeyExtent,List<Range>>>();
+
+ Instance instance = getInstance(job);
+ Connector conn = instance.getConnector(getPrincipal(job),
CredentialHelper.extractToken(getTokenClass(job), getToken(job)));
+ String tableId = Tables.getTableId(instance, tableName);
+
+ if (Tables.getTableState(instance, tableId) != TableState.OFFLINE) {
+ Tables.clearCache(instance);
+ if (Tables.getTableState(instance, tableId) != TableState.OFFLINE) {
+ throw new AccumuloException("Table is online " + tableName + "(" +
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(Constants.METADATA_TABLE_NAME,
Constants.NO_AUTHS);
+ Constants.METADATA_PREV_ROW_COLUMN.fetch(scanner);
+
scanner.fetchColumnFamily(Constants.METADATA_LAST_LOCATION_COLUMN_FAMILY);
+
scanner.fetchColumnFamily(Constants.METADATA_CURRENT_LOCATION_COLUMN_FAMILY);
+
scanner.fetchColumnFamily(Constants.METADATA_FUTURE_LOCATION_COLUMN_FAMILY);
+ scanner.setRange(metadataRange);
+
+ RowIterator rowIter = new RowIterator(scanner);
+
+ KeyExtent lastExtent = null;
+
+ while (rowIter.hasNext()) {
+ Iterator<Entry<Key,Value>> row = rowIter.next();
+ String last = "";
+ KeyExtent extent = null;
+ String location = null;
+
+ while (row.hasNext()) {
+ Entry<Key,Value> entry = row.next();
+ Key key = entry.getKey();
+
+ if
(key.getColumnFamily().equals(Constants.METADATA_LAST_LOCATION_COLUMN_FAMILY)) {
+ last = entry.getValue().toString();
+ }
+
+ if
(key.getColumnFamily().equals(Constants.METADATA_CURRENT_LOCATION_COLUMN_FAMILY)
+ ||
key.getColumnFamily().equals(Constants.METADATA_FUTURE_LOCATION_COLUMN_FAMILY))
{
+ location = entry.getValue().toString();
+ }
+
+ if (Constants.METADATA_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;
+ }
+
+ /**
+ * Read the metadata table to get tablets and match up ranges to them.
+ */
+ @Override
+ public InputSplit[] getSplits(JobConf job, int numSplits) throws
IOException {
+ log.setLevel(getLogLevel(job));
+ validateOptions(job);
+
+ String tableName = getInputTableName(job);
+ boolean autoAdjust = getAutoAdjustRanges(job);
+ List<Range> ranges = autoAdjust ? Range.mergeOverlapping(getRanges(job))
: getRanges(job);
+
+ if (ranges.isEmpty()) {
+ ranges = new ArrayList<Range>(1);
+ ranges.add(new Range());
+ }
+
+ // get the metadata information for these ranges
+ Map<String,Map<KeyExtent,List<Range>>> binnedRanges = new
HashMap<String,Map<KeyExtent,List<Range>>>();
+ TabletLocator tl;
+ try {
+ if (isOfflineScan(job)) {
+ binnedRanges = binOfflineTable(job, tableName, ranges);
+ while (binnedRanges == null) {
+ // Some tablets were still online, try again
+ UtilWaitThread.sleep(100 + (int) (Math.random() * 100)); // sleep
randomly between 100 and 200 ms
+ binnedRanges = binOfflineTable(job, tableName, ranges);
+ }
+ } else {
+ Instance instance = getInstance(job);
+ String tableId = null;
+ tl = getTabletLocator(job);
+ // its possible that the cache could contain complete, but old
information about a tables tablets... so clear it
+ tl.invalidateCache();
+ while (!tl.binRanges(ranges, binnedRanges,
+ new TCredentials(getPrincipal(job), getTokenClass(job),
ByteBuffer.wrap(getToken(job)), getInstance(job).getInstanceID())).isEmpty()) {
+ if (!(instance instanceof MockInstance)) {
+ if (tableId == null)
+ tableId = Tables.getTableId(instance, tableName);
+ if (!Tables.exists(instance, tableId))
+ throw new TableDeletedException(tableId);
+ if (Tables.getTableState(instance, tableId) == TableState.OFFLINE)
+ throw new TableOfflineException(instance, tableId);
+ }
+ binnedRanges.clear();
+ log.warn("Unable to locate bins for specified ranges. Retrying.");
+ UtilWaitThread.sleep(100 + (int) (Math.random() * 100)); // sleep
randomly between 100 and 200 ms
+ tl.invalidateCache();
+ }
+ }
+ } catch (Exception e) {
+ throw new IOException(e);
+ }
+
- ArrayList<InputSplit> splits = new ArrayList<InputSplit>(ranges.size());
++ ArrayList<RangeInputSplit> splits = new
ArrayList<RangeInputSplit>(ranges.size());
+ HashMap<Range,ArrayList<String>> splitsToAdd = null;
+
+ if (!autoAdjust)
+ splitsToAdd = new HashMap<Range,ArrayList<String>>();
+
+ HashMap<String,String> hostNameCache = new HashMap<String,String>();
+
+ for (Entry<String,Map<KeyExtent,List<Range>>> tserverBin :
binnedRanges.entrySet()) {
+ String ip = tserverBin.getKey().split(":", 2)[0];
+ String location = hostNameCache.get(ip);
+ if (location == null) {
+ InetAddress inetAddress = InetAddress.getByName(ip);
+ location = inetAddress.getHostName();
+ hostNameCache.put(ip, location);
+ }
+
+ for (Entry<KeyExtent,List<Range>> extentRanges :
tserverBin.getValue().entrySet()) {
+ Range ke = extentRanges.getKey().toDataRange();
+ for (Range r : extentRanges.getValue()) {
+ if (autoAdjust) {
+ // divide ranges into smaller ranges, based on the tablets
- splits.add(new RangeInputSplit(tableName, ke.clip(r), new
String[] {location}));
++ splits.add(new RangeInputSplit(ke.clip(r), new String[]
{location}));
+ } else {
+ // don't divide ranges
+ ArrayList<String> locations = splitsToAdd.get(r);
+ if (locations == null)
+ locations = new ArrayList<String>(1);
+ locations.add(location);
+ splitsToAdd.put(r, locations);
+ }
+ }
+ }
+ }
+
+ if (!autoAdjust)
+ for (Entry<Range,ArrayList<String>> entry : splitsToAdd.entrySet())
- splits.add(new RangeInputSplit(tableName, entry.getKey(),
entry.getValue().toArray(new String[0])));
++ splits.add(new RangeInputSplit(entry.getKey(),
entry.getValue().toArray(new String[0])));
+ return splits.toArray(new InputSplit[splits.size()]);
+ }
+
- /**
- * The Class RangeInputSplit. Encapsulates an Accumulo range for use in Map
Reduce jobs.
- */
- public static class RangeInputSplit extends
org.apache.accumulo.core.client.mapreduce.InputFormatBase.RangeInputSplit
implements InputSplit {
-
- public RangeInputSplit() {
- super();
- }
-
- public RangeInputSplit(RangeInputSplit split) throws IOException {
- super(split);
- }
-
- protected RangeInputSplit(String table, Range range, String[] locations) {
- super(table, range, locations);
- }
-
- }
-
+}
http://git-wip-us.apache.org/repos/asf/accumulo/blob/16a2e0f0/core/src/main/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormat.java
----------------------------------------------------------------------
diff --cc
core/src/main/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormat.java
index 9571312,0000000..0220339
mode 100644,000000..100644
---
a/core/src/main/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormat.java
+++
b/core/src/main/java/org/apache/accumulo/core/client/mapreduce/AccumuloInputFormat.java
@@@ -1,68 -1,0 +1,79 @@@
+/*
+ * 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;
+
+import java.io.IOException;
+import java.util.Map.Entry;
+
+import org.apache.accumulo.core.client.security.tokens.AuthenticationToken;
+import org.apache.accumulo.core.data.Key;
+import org.apache.accumulo.core.data.Value;
+import org.apache.accumulo.core.security.Authorizations;
+import org.apache.accumulo.core.util.format.DefaultFormatter;
+import org.apache.hadoop.mapreduce.InputFormat;
+import org.apache.hadoop.mapreduce.InputSplit;
+import org.apache.hadoop.mapreduce.Job;
+import org.apache.hadoop.mapreduce.RecordReader;
+import org.apache.hadoop.mapreduce.TaskAttemptContext;
++import org.apache.log4j.Level;
+
+/**
+ * This class allows MapReduce jobs to use Accumulo as the source of data.
This {@link InputFormat} provides keys and values of type {@link Key} and
+ * {@link Value} to the Map function.
+ *
+ * The user must specify the following via static configurator methods:
+ *
+ * <ul>
+ * <li>{@link AccumuloInputFormat#setConnectorInfo(Job, String,
AuthenticationToken)}
+ * <li>{@link AccumuloInputFormat#setInputTableName(Job, String)}
+ * <li>{@link AccumuloInputFormat#setScanAuthorizations(Job, Authorizations)}
+ * <li>{@link AccumuloInputFormat#setZooKeeperInstance(Job, String, String)}
OR {@link AccumuloInputFormat#setMockInstance(Job, String)}
+ * </ul>
+ *
+ * Other static methods are optional.
+ */
+public class AccumuloInputFormat extends InputFormatBase<Key,Value> {
+ @Override
+ public RecordReader<Key,Value> createRecordReader(InputSplit split,
TaskAttemptContext context) throws IOException, InterruptedException {
+ log.setLevel(getLogLevel(context));
++
++ // Override the log level from the configuration as if the
RangeInputSplit has one it's the more correct one to use.
++ if (split instanceof RangeInputSplit) {
++ RangeInputSplit risplit = (RangeInputSplit) split;
++ Level level = risplit.getLogLevel();
++ if (null != level) {
++ log.setLevel(level);
++ }
++ }
++
+ return new RecordReaderBase<Key,Value>() {
+ @Override
+ public boolean nextKeyValue() throws IOException, InterruptedException {
+ if (scannerIterator.hasNext()) {
+ ++numKeysRead;
+ Entry<Key,Value> entry = scannerIterator.next();
+ currentK = currentKey = entry.getKey();
+ currentV = currentValue = entry.getValue();
+ if (log.isTraceEnabled())
+ log.trace("Processing key/value pair: " +
DefaultFormatter.formatEntry(entry, true));
+ return true;
+ }
+ return false;
+ }
+ };
+ }
+}
