/*
* 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.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.util.Random;
import java.util.concurrent.TimeUnit;
import org.apache.accumulo.core.client.AccumuloException;
import org.apache.accumulo.core.client.AccumuloSecurityException;
import org.apache.accumulo.core.client.BatchScanner;
import org.apache.accumulo.core.client.ClientConfiguration;
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.Scanner;
import org.apache.accumulo.core.client.ScannerBase;
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.admin.DelegationTokenConfig;
import org.apache.accumulo.core.client.admin.SecurityOperations;
import org.apache.accumulo.core.client.impl.AuthenticationTokenIdentifier;
import org.apache.accumulo.core.client.impl.ClientContext;
import org.apache.accumulo.core.client.impl.Credentials;
import org.apache.accumulo.core.client.impl.DelegationTokenImpl;
import org.apache.accumulo.core.client.impl.OfflineScanner;
import org.apache.accumulo.core.client.impl.ScannerImpl;
import org.apache.accumulo.core.client.impl.Tables;
import org.apache.accumulo.core.client.impl.TabletLocator;
import org.apache.accumulo.core.client.mapred.impl.BatchInputSplit;
import org.apache.accumulo.core.client.mapreduce.InputTableConfig;
import org.apache.accumulo.core.client.mapreduce.impl.SplitUtils;
import org.apache.accumulo.core.client.mapreduce.lib.impl.ConfiguratorBase;
import org.apache.accumulo.core.client.mapreduce.lib.impl.InputConfigurator;
import org.apache.accumulo.core.client.sample.SamplerConfiguration;
import org.apache.accumulo.core.client.security.tokens.AuthenticationToken;
import org.apache.accumulo.core.client.security.tokens.DelegationToken;
import org.apache.accumulo.core.client.security.tokens.KerberosToken;
import org.apache.accumulo.core.client.security.tokens.PasswordToken;
import org.apache.accumulo.core.data.Key;
import org.apache.accumulo.core.data.Range;
import org.apache.accumulo.core.data.Value;
import org.apache.accumulo.core.data.impl.KeyExtent;
import org.apache.accumulo.core.master.state.tables.TableState;
import org.apache.accumulo.core.security.Authorizations;
import org.apache.accumulo.core.util.DeprecationUtil;
import org.apache.accumulo.core.util.Pair;
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.security.token.Token;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import static com.google.common.util.concurrent.Uninterruptibles.sleepUninterruptibly;
/**
* An abstract input format to provide shared methods common to all other input format classes. At the very least, any classes inheriting from this class will
* need to define their own {@link RecordReader}.
*/
public abstract class AbstractInputFormat<K,V> implements InputFormat<K,V> {
protected static final Class<?> CLASS = AccumuloInputFormat.class;
protected static final Logger log = Logger.getLogger(CLASS);
/**
* Sets the name of the classloader context on this scanner
*
* @param job
* the Hadoop job instance to be configured
* @param context
* name of the classloader context
* @since 1.8.0
*/
public static void setClassLoaderContext(JobConf job, String context) {
InputConfigurator.setClassLoaderContext(CLASS, job, context);
}
/**
* Returns the name of the current classloader context set on this scanner
*
* @param job
* the Hadoop job instance to be configured
* @return name of the current context
* @since 1.8.0
*/
public static String getClassLoaderContext(JobConf job) {
return InputConfigurator.getClassLoaderContext(CLASS, job);
}
/**
* Sets the connector information needed to communicate with Accumulo in this job.
*
* <p>
* <b>WARNING:</b> Some tokens, when serialized, divulge sensitive information in the configuration as a means to pass the token to MapReduce tasks. This
* information is BASE64 encoded to provide a charset safe conversion to a string, but this conversion is not intended to be secure. {@link PasswordToken} is
* one example that is insecure in this way; however {@link DelegationToken}s, acquired using
* {@link SecurityOperations#getDelegationToken(DelegationTokenConfig)}, is not subject to this concern.
*
* @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
* @since 1.5.0
*/
public static void setConnectorInfo(JobConf job, String principal, AuthenticationToken token) throws AccumuloSecurityException {
if (token instanceof KerberosToken) {
log.info("Received KerberosToken, attempting to fetch DelegationToken");
try {
Instance instance = getInstance(job);
Connector conn = instance.getConnector(principal, token);
token = conn.securityOperations().getDelegationToken(new DelegationTokenConfig());
} catch (Exception e) {
log.warn("Failed to automatically obtain DelegationToken, Mappers/Reducers will likely fail to communicate with Accumulo", e);
}
}
// DelegationTokens can be passed securely from user to task without serializing insecurely in the configuration
if (token instanceof DelegationTokenImpl) {
DelegationTokenImpl delegationToken = (DelegationTokenImpl) token;
// Convert it into a Hadoop Token
AuthenticationTokenIdentifier identifier = delegationToken.getIdentifier();
Token<AuthenticationTokenIdentifier> hadoopToken = new Token<>(identifier.getBytes(), delegationToken.getPassword(), identifier.getKind(),
delegationToken.getServiceName());
// Add the Hadoop Token to the Job so it gets serialized and passed along.
job.getCredentials().addToken(hadoopToken.getService(), hadoopToken);
}
InputConfigurator.setConnectorInfo(CLASS, job, principal, token);
}
/**
* Sets the connector information needed to communicate with Accumulo in this job.
*
* <p>
* Stores the password in a file in HDFS and pulls that into the Distributed Cache in an attempt to be more secure than storing it in the Configuration.
*
* @param job
* the Hadoop job instance to be configured
* @param principal
* a valid Accumulo user name (user must have Table.CREATE permission)
* @param tokenFile
* the path to the token file
* @since 1.6.0
*/
public static void setConnectorInfo(JobConf job, String principal, String tokenFile) throws AccumuloSecurityException {
InputConfigurator.setConnectorInfo(CLASS, job, principal, tokenFile);
}
/**
* 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 authenticated token from either the specified token file or directly from the configuration, whichever was used when the job was configured.
*
* @param job
* the Hadoop context for the configured job
* @return the principal's authentication token
* @since 1.6.0
* @see #setConnectorInfo(JobConf, String, AuthenticationToken)
* @see #setConnectorInfo(JobConf, String, String)
*/
protected static AuthenticationToken getAuthenticationToken(JobConf job) {
AuthenticationToken token = InputConfigurator.getAuthenticationToken(CLASS, job);
return ConfiguratorBase.unwrapAuthenticationToken(job, token);
}
/**
* Configures a {@link org.apache.accumulo.core.client.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
* @deprecated since 1.6.0; Use {@link #setZooKeeperInstance(JobConf, ClientConfiguration)} instead.
*/
@Deprecated
public static void setZooKeeperInstance(JobConf job, String instanceName, String zooKeepers) {
setZooKeeperInstance(job, new ClientConfiguration().withInstance(instanceName).withZkHosts(zooKeepers));
}
/**
* Configures a {@link org.apache.accumulo.core.client.ZooKeeperInstance} for this job.
*
* @param job
* the Hadoop job instance to be configured
* @param clientConfig
* client configuration containing connection options
* @since 1.6.0
*/
public static void setZooKeeperInstance(JobConf job, ClientConfiguration clientConfig) {
InputConfigurator.setZooKeeperInstance(CLASS, job, clientConfig);
}
/**
* Configures a {@link org.apache.accumulo.core.client.mock.MockInstance} for this job.
*
* @param job
* the Hadoop job instance to be configured
* @param instanceName
* the Accumulo instance name
* @since 1.5.0
* @deprecated since 1.8.0; use MiniAccumuloCluster or a standard mock framework
*/
@Deprecated
public static void setMockInstance(JobConf job, String instanceName) {
InputConfigurator.setMockInstance(CLASS, job, instanceName);
}
/**
* Initializes an Accumulo {@link org.apache.accumulo.core.client.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, ClientConfiguration)
*/
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 {@link org.apache.accumulo.core.security.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);
}
/**
* Fetch the client configuration from the job.
*
* @param job
* The job
* @return The client configuration for the job
* @since 1.7.0
*/
protected static ClientConfiguration getClientConfiguration(JobConf job) {
return InputConfigurator.getClientConfiguration(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 InputFormat}.
*
* @param job
* the Hadoop context for the configured job
* @throws java.io.IOException
* if the context is improperly configured
* @since 1.5.0
*/
protected static void validateOptions(JobConf job) throws IOException {
final Instance inst = InputConfigurator.validateInstance(CLASS, job);
String principal = InputConfigurator.getPrincipal(CLASS, job);
AuthenticationToken token = InputConfigurator.getAuthenticationToken(CLASS, job);
// In secure mode, we need to convert the DelegationTokenStub into a real DelegationToken
token = ConfiguratorBase.unwrapAuthenticationToken(job, token);
Connector conn;
try {
conn = inst.getConnector(principal, token);
} catch (Exception e) {
throw new IOException(e);
}
InputConfigurator.validatePermissions(CLASS, job, conn);
}
/**
* Fetches all {@link InputTableConfig}s that have been set on the given Hadoop job.
*
* @param job
* the Hadoop job instance to be configured
* @return the {@link InputTableConfig} objects set on the job
* @since 1.6.0
*/
public static Map<String,InputTableConfig> getInputTableConfigs(JobConf job) {
return InputConfigurator.getInputTableConfigs(CLASS, job);
}
/**
* Fetches a {@link InputTableConfig} that has been set on the configuration for a specific table.
*
* <p>
* null is returned in the event that the table doesn't exist.
*
* @param job
* the Hadoop job instance to be configured
* @param tableName
* the table name for which to grab the config object
* @return the {@link InputTableConfig} for the given table
* @since 1.6.0
*/
public static InputTableConfig getInputTableConfig(JobConf job, String tableName) {
return InputConfigurator.getInputTableConfig(CLASS, job, tableName);
}
/**
* An abstract base class to be used to create {@link org.apache.hadoop.mapred.RecordReader} instances that convert from Accumulo
* {@link org.apache.accumulo.core.data.Key}/{@link org.apache.accumulo.core.data.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 AbstractRecordReader<K,V> implements RecordReader<K,V> {
protected long numKeysRead;
protected Iterator<Map.Entry<Key,Value>> scannerIterator;
protected RangeInputSplit split;
private org.apache.accumulo.core.client.mapreduce.RangeInputSplit baseSplit;
protected ScannerBase scannerBase;
/**
* Extracts Iterators settings from the context to be used by RecordReader.
*
* @param job
* the Hadoop job configuration
* @param tableName
* the table name for which the scanner is configured
* @return List of iterator settings for given table
* @since 1.7.0
*/
protected abstract List<IteratorSetting> jobIterators(JobConf job, String tableName);
/**
* Configures the iterators on a scanner for the given table name.
*
* @param job
* the Hadoop job configuration
* @param scanner
* the scanner for which to configure the iterators
* @param tableName
* the table name for which the scanner is configured
* @since 1.7.0
*/
private void setupIterators(JobConf job, ScannerBase scanner, String tableName, org.apache.accumulo.core.client.mapreduce.RangeInputSplit split) {
List<IteratorSetting> iterators = null;
if (null == split) {
iterators = jobIterators(job, tableName);
} else {
iterators = split.getIterators();
if (null == iterators) {
iterators = jobIterators(job, tableName);
}
}
for (IteratorSetting iterator : iterators)
scanner.addScanIterator(iterator);
}
/**
* Configures the iterators on a scanner for the given table name.
*
* @param job
* the Hadoop job configuration
* @param scanner
* the scanner for which to configure the iterators
* @param tableName
* the table name for which the scanner is configured
* @since 1.6.0
* @deprecated since 1.7.0; Use {@link #jobIterators} instead.
*/
@Deprecated
protected void setupIterators(JobConf job, Scanner scanner, String tableName, RangeInputSplit split) {
setupIterators(job, (ScannerBase) scanner, tableName, split);
}
/**
* Initialize a scanner over the given input split using this task attempt configuration.
*/
public void initialize(InputSplit inSplit, JobConf job) throws IOException {
baseSplit = (org.apache.accumulo.core.client.mapreduce.RangeInputSplit) inSplit;
log.debug("Initializing input split: " + baseSplit.toString());
Instance instance = baseSplit.getInstance(getClientConfiguration(job));
if (null == instance) {
instance = getInstance(job);
}
String principal = baseSplit.getPrincipal();
if (null == principal) {
principal = getPrincipal(job);
}
AuthenticationToken token = baseSplit.getToken();
if (null == token) {
token = getAuthenticationToken(job);
}
Authorizations authorizations = baseSplit.getAuths();
if (null == authorizations) {
authorizations = getScanAuthorizations(job);
}
String classLoaderContext = getClassLoaderContext(job);
String table = baseSplit.getTableName();
// in case the table name changed, we can still use the previous name for terms of configuration,
// but the scanner will use the table id resolved at job setup time
InputTableConfig tableConfig = getInputTableConfig(job, baseSplit.getTableName());
log.debug("Creating connector with user: " + principal);
log.debug("Creating scanner for table: " + table);
log.debug("Authorizations are: " + authorizations);
if (baseSplit instanceof BatchInputSplit) {
BatchScanner scanner;
BatchInputSplit multiRangeSplit = (BatchInputSplit) baseSplit;
try {
// Note: BatchScanner will use at most one thread per tablet, currently BatchInputSplit will not span tablets
int scanThreads = 1;
scanner = instance.getConnector(principal, token).createBatchScanner(baseSplit.getTableName(), authorizations, scanThreads);
setupIterators(job, scanner, baseSplit.getTableName(), baseSplit);
if (null != classLoaderContext) {
scanner.setClassLoaderContext(classLoaderContext);
}
} catch (Exception e) {
throw new IOException(e);
}
scanner.setRanges(multiRangeSplit.getRanges());
scannerBase = scanner;
} else if (baseSplit instanceof RangeInputSplit) {
split = (RangeInputSplit) baseSplit;
Boolean isOffline = baseSplit.isOffline();
if (null == isOffline) {
isOffline = tableConfig.isOfflineScan();
}
Boolean isIsolated = baseSplit.isIsolatedScan();
if (null == isIsolated) {
isIsolated = tableConfig.shouldUseIsolatedScanners();
}
Boolean usesLocalIterators = baseSplit.usesLocalIterators();
if (null == usesLocalIterators) {
usesLocalIterators = tableConfig.shouldUseLocalIterators();
}
Scanner scanner;
try {
if (isOffline) {
scanner = new OfflineScanner(instance, new Credentials(principal, token), baseSplit.getTableId(), authorizations);
} else if (DeprecationUtil.isMockInstance(instance)) {
scanner = instance.getConnector(principal, token).createScanner(baseSplit.getTableName(), authorizations);
} else {
ClientConfiguration clientConf = getClientConfiguration(job);
ClientContext context = new ClientContext(instance, new Credentials(principal, token), clientConf);
scanner = new ScannerImpl(context, baseSplit.getTableId(), authorizations);
}
if (isIsolated) {
log.info("Creating isolated scanner");
scanner = new IsolatedScanner(scanner);
}
if (usesLocalIterators) {
log.info("Using local iterators");
scanner = new ClientSideIteratorScanner(scanner);
}
setupIterators(job, scanner, baseSplit.getTableName(), baseSplit);
} catch (Exception e) {
throw new IOException(e);
}
scanner.setRange(baseSplit.getRange());
scannerBase = scanner;
} else {
throw new IllegalArgumentException("Can not initialize from " + baseSplit.getClass().toString());
}
Collection<Pair<Text,Text>> columns = baseSplit.getFetchedColumns();
if (null == columns) {
columns = tableConfig.getFetchedColumns();
}
// setup a scanner within the bounds of this split
for (Pair<Text,Text> c : columns) {
if (c.getSecond() != null) {
log.debug("Fetching column " + c.getFirst() + ":" + c.getSecond());
scannerBase.fetchColumn(c.getFirst(), c.getSecond());
} else {
log.debug("Fetching column family " + c.getFirst());
scannerBase.fetchColumnFamily(c.getFirst());
}
}
SamplerConfiguration samplerConfig = baseSplit.getSamplerConfiguration();
if (null == samplerConfig) {
samplerConfig = tableConfig.getSamplerConfiguration();
}
if (samplerConfig != null) {
scannerBase.setSamplerConfiguration(samplerConfig);
}
scannerIterator = scannerBase.iterator();
numKeysRead = 0;
}
@Override
public void close() {
if (null != scannerBase) {
scannerBase.close();
}
}
@Override
public long getPos() throws IOException {
return numKeysRead;
}
@Override
public float getProgress() throws IOException {
if (numKeysRead > 0 && currentKey == null)
return 1.0f;
return baseSplit.getProgress(currentKey);
}
protected Key currentKey = null;
}
Map<String,Map<KeyExtent,List<Range>>> binOfflineTable(JobConf job, String tableId, List<Range> ranges) throws TableNotFoundException, AccumuloException,
AccumuloSecurityException {
Instance instance = getInstance(job);
Connector conn = instance.getConnector(getPrincipal(job), getAuthenticationToken(job));
return InputConfigurator.binOffline(tableId, ranges, instance, conn);
}
/**
* Gets the splits of the tables that have been set on the job by reading the metadata table for the specified ranges.
*
* @return the splits from the tables based on the ranges.
* @throws java.io.IOException
* if a table set on the job doesn't exist or an error occurs initializing the tablet locator
*/
@Override
public InputSplit[] getSplits(JobConf job, int numSplits) throws IOException {
Level logLevel = getLogLevel(job);
log.setLevel(logLevel);
validateOptions(job);
Random random = new Random();
LinkedList<InputSplit> splits = new LinkedList<>();
Map<String,InputTableConfig> tableConfigs = getInputTableConfigs(job);
for (Map.Entry<String,InputTableConfig> tableConfigEntry : tableConfigs.entrySet()) {
String tableName = tableConfigEntry.getKey();
InputTableConfig tableConfig = tableConfigEntry.getValue();
Instance instance = getInstance(job);
String tableId;
// resolve table name to id once, and use id from this point forward
if (DeprecationUtil.isMockInstance(instance)) {
tableId = "";
} else {
try {
tableId = Tables.getTableId(instance, tableName);
} catch (TableNotFoundException e) {
throw new IOException(e);
}
}
Authorizations auths = getScanAuthorizations(job);
String principal = getPrincipal(job);
AuthenticationToken token = getAuthenticationToken(job);
boolean batchScan = InputConfigurator.isBatchScan(CLASS, job);
boolean supportBatchScan = !(tableConfig.isOfflineScan() || tableConfig.shouldUseIsolatedScanners() || tableConfig.shouldUseLocalIterators());
if (batchScan && !supportBatchScan)
throw new IllegalArgumentException("BatchScanner optimization not available for offline scan, isolated, or local iterators");
boolean autoAdjust = tableConfig.shouldAutoAdjustRanges();
if (batchScan && !autoAdjust)
throw new IllegalArgumentException("AutoAdjustRanges must be enabled when using BatchScanner optimization");
List<Range> ranges = autoAdjust ? Range.mergeOverlapping(tableConfig.getRanges()) : tableConfig.getRanges();
if (ranges.isEmpty()) {
ranges = new ArrayList<>(1);
ranges.add(new Range());
}
// get the metadata information for these ranges
Map<String,Map<KeyExtent,List<Range>>> binnedRanges = new HashMap<>();
TabletLocator tl;
try {
if (tableConfig.isOfflineScan()) {
binnedRanges = binOfflineTable(job, tableId, ranges);
while (binnedRanges == null) {
// Some tablets were still online, try again
// sleep randomly between 100 and 200 ms
sleepUninterruptibly(100 + random.nextInt(100), TimeUnit.MILLISECONDS);
binnedRanges = binOfflineTable(job, tableId, ranges);
}
} else {
tl = InputConfigurator.getTabletLocator(CLASS, job, tableId);
// its possible that the cache could contain complete, but old information about a tables tablets... so clear it
tl.invalidateCache();
ClientContext context = new ClientContext(getInstance(job), new Credentials(getPrincipal(job), getAuthenticationToken(job)),
getClientConfiguration(job));
while (!tl.binRanges(context, ranges, binnedRanges).isEmpty()) {
if (!DeprecationUtil.isMockInstance(instance)) {
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.");
// sleep randomly between 100 and 200 ms
sleepUninterruptibly(100 + random.nextInt(100), TimeUnit.MILLISECONDS);
tl.invalidateCache();
}
}
} catch (Exception e) {
throw new IOException(e);
}
HashMap<Range,ArrayList<String>> splitsToAdd = null;
if (!autoAdjust)
splitsToAdd = new HashMap<>();
HashMap<String,String> hostNameCache = new HashMap<>();
for (Map.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.getCanonicalHostName();
hostNameCache.put(ip, location);
}
for (Map.Entry<KeyExtent,List<Range>> extentRanges : tserverBin.getValue().entrySet()) {
Range ke = extentRanges.getKey().toDataRange();
if (batchScan) {
// group ranges by tablet to be read by a BatchScanner
ArrayList<Range> clippedRanges = new ArrayList<>();
for (Range r : extentRanges.getValue())
clippedRanges.add(ke.clip(r));
BatchInputSplit split = new BatchInputSplit(tableName, tableId, clippedRanges, new String[] {location});
SplitUtils.updateSplit(split, instance, tableConfig, principal, token, auths, logLevel);
splits.add(split);
} else {
// not grouping by tablet
for (Range r : extentRanges.getValue()) {
if (autoAdjust) {
// divide ranges into smaller ranges, based on the tablets
RangeInputSplit split = new RangeInputSplit(tableName, tableId, ke.clip(r), new String[] {location});
SplitUtils.updateSplit(split, instance, tableConfig, principal, token, auths, logLevel);
split.setOffline(tableConfig.isOfflineScan());
split.setIsolatedScan(tableConfig.shouldUseIsolatedScanners());
split.setUsesLocalIterators(tableConfig.shouldUseLocalIterators());
splits.add(split);
} else {
// don't divide ranges
ArrayList<String> locations = splitsToAdd.get(r);
if (locations == null)
locations = new ArrayList<>(1);
locations.add(location);
splitsToAdd.put(r, locations);
}
}
}
}
}
if (!autoAdjust)
for (Map.Entry<Range,ArrayList<String>> entry : splitsToAdd.entrySet()) {
RangeInputSplit split = new RangeInputSplit(tableName, tableId, entry.getKey(), entry.getValue().toArray(new String[0]));
SplitUtils.updateSplit(split, instance, tableConfig, principal, token, auths, logLevel);
split.setOffline(tableConfig.isOfflineScan());
split.setIsolatedScan(tableConfig.shouldUseIsolatedScanners());
split.setUsesLocalIterators(tableConfig.shouldUseLocalIterators());
splits.add(split);
}
}
return splits.toArray(new InputSplit[splits.size()]);
}
}