Examples with ClientContext org.apache.accumulo.core.clientImpl.ClientContext used on opensource projects

Example 46 with ClientContext

use of org.apache.accumulo.core.clientImpl.ClientContext in project accumulo by apache.

the class VerifyTabletAssignments method main.

public static void main(String[] args) throws Exception {
    Opts opts = new Opts();
    opts.parseArgs(VerifyTabletAssignments.class.getName(), args);
    Span span = TraceUtil.startSpan(VerifyTabletAssignments.class, "main");
    try (Scope scope = span.makeCurrent()) {
        try (AccumuloClient client = Accumulo.newClient().from(opts.getClientProps()).build()) {
            for (String table : client.tableOperations().list()) checkTable((ClientContext) client, opts, table, null);
        } finally {
            span.end();
        }
    }
}

Example 47 with ClientContext

use of org.apache.accumulo.core.clientImpl.ClientContext in project accumulo by apache.

the class AbstractInputFormat method setConnectorInfo.

/**
 * 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 {
            ClientContext client = InputConfigurator.client(CLASS, job);
            token = client.securityOperations().getDelegationToken(new DelegationTokenConfig());
        } catch (Exception e) {
            log.warn("Failed to automatically obtain DelegationToken, Mappers/Reducers will likely" + " fail to communicate with Accumulo", e);
        }
    }
    // 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);
}

Example 48 with ClientContext

use of org.apache.accumulo.core.clientImpl.ClientContext in project accumulo by apache.

the class AbstractInputFormat method getSplits.

/**
 * 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);
    LinkedList<InputSplit> splits = new LinkedList<>();
    Map<String, org.apache.accumulo.core.client.mapreduce.InputTableConfig> tableConfigs = getInputTableConfigs(job);
    for (Map.Entry<String, org.apache.accumulo.core.client.mapreduce.InputTableConfig> tableConfigEntry : tableConfigs.entrySet()) {
        String tableName = tableConfigEntry.getKey();
        org.apache.accumulo.core.client.mapreduce.InputTableConfig tableConfig = tableConfigEntry.getValue();
        ClientContext client;
        try {
            client = InputConfigurator.client(CLASS, job);
        } catch (AccumuloException | AccumuloSecurityException e) {
            throw new IOException(e);
        }
        TableId tableId;
        // resolve table name to id once, and use id from this point forward
        try {
            tableId = client.getTableId(tableName);
        } catch (TableNotFoundException e) {
            throw new IOException(e);
        }
        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 = TabletLocator.getLocator(client, tableId);
                // its possible that the cache could contain complete, but old information about a
                // tables tablets... so clear it
                tl.invalidateCache();
                while (!tl.binRanges(client, ranges, binnedRanges).isEmpty()) {
                    client.requireNotDeleted(tableId);
                    client.requireNotOffline(tableId, tableName);
                    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);
        }
        // all of this code will add either range per each locations or split ranges and add
        // range-location split
        // Map from Range to Array of Locations, we only use this if we're don't split
        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));
                    org.apache.accumulo.core.clientImpl.mapred.BatchInputSplit split = new org.apache.accumulo.core.clientImpl.mapred.BatchInputSplit(tableName, tableId, clippedRanges, new String[] { location });
                    org.apache.accumulo.core.clientImpl.mapreduce.SplitUtils.updateSplit(split, tableConfig, 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.canonical(), ke.clip(r), new String[] { location });
                            org.apache.accumulo.core.clientImpl.mapreduce.SplitUtils.updateSplit(split, tableConfig, 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.canonical(), entry.getKey(), entry.getValue().toArray(new String[0]));
                org.apache.accumulo.core.clientImpl.mapreduce.SplitUtils.updateSplit(split, tableConfig, logLevel);
                split.setOffline(tableConfig.isOfflineScan());
                split.setIsolatedScan(tableConfig.shouldUseIsolatedScanners());
                split.setUsesLocalIterators(tableConfig.shouldUseLocalIterators());
                splits.add(split);
            }
    }
    return splits.toArray(new InputSplit[splits.size()]);
}

Example 49 with ClientContext

use of org.apache.accumulo.core.clientImpl.ClientContext in project accumulo by apache.

the class AccumuloOutputFormat method setConnectorInfo.

/**
 * 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 if
 *          {@link #setCreateTables(JobConf, boolean)} is set to true)
 * @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 {
            ClientContext client = OutputConfigurator.client(CLASS, job);
            token = client.securityOperations().getDelegationToken(new DelegationTokenConfig());
        } catch (Exception e) {
            log.warn("Failed to automatically obtain DelegationToken, " + "Mappers/Reducers will likely fail to communicate with Accumulo", e);
        }
    }
    // 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);
    }
    OutputConfigurator.setConnectorInfo(CLASS, job, principal, token);
}

Example 50 with ClientContext

use of org.apache.accumulo.core.clientImpl.ClientContext in project accumulo by apache.

the class AccumuloOutputFormat method setConnectorInfo.

/**
 * 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 if
 *          {@link #setCreateTables(Job, boolean)} is set to true)
 * @param token
 *          the user's password
 * @since 1.5.0
 */
public static void setConnectorInfo(Job job, String principal, AuthenticationToken token) throws AccumuloSecurityException {
    if (token instanceof KerberosToken) {
        log.info("Received KerberosToken, attempting to fetch DelegationToken");
        try {
            ClientContext client = OutputConfigurator.client(CLASS, job.getConfiguration());
            token = client.securityOperations().getDelegationToken(new DelegationTokenConfig());
        } catch (Exception e) {
            log.warn("Failed to automatically obtain DelegationToken, " + "Mappers/Reducers will likely fail to communicate with Accumulo", e);
        }
    }
    // 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);
    }
    OutputConfigurator.setConnectorInfo(CLASS, job.getConfiguration(), principal, token);
}