HBASE-13027 Ensure extension of TableInputFormatBase works.
* move mapreduce version of TableInputFormat tests out of mapred * add ability to get runnable job via MR test shims * correct the javadoc example for current APIs. * add tests the run a job based on the extending TableInputFormatBase (as given in the javadocs) * add tests that run jobs based on the javadocs from 0.98 * fall back to our own Connection if ussers of the deprecated table configuration have a managed connection.
This commit is contained in:
Sean Busbey
Sean Busbey
parent
421036c1c4
commit
c96df5e240
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@ -723,7 +723,7 @@ final class ConnectionManager {
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@Override
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public HTableInterface getTable(TableName tableName, ExecutorService pool) throws IOException {
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if (managed) {
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throw new IOException("The connection has to be unmanaged.");
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throw new NeedUnmanagedConnectionException();
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}
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return new HTable(tableName, this, tableConfig, rpcCallerFactory, rpcControllerFactory, pool);
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}
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@ -758,7 +758,7 @@ final class ConnectionManager {
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@Override
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public Admin getAdmin() throws IOException {
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if (managed) {
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throw new IOException("The connection has to be unmanaged.");
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throw new NeedUnmanagedConnectionException();
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}
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return new HBaseAdmin(this);
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}
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@ -0,0 +1,31 @@
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/**
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.hbase.client;
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import org.apache.hadoop.hbase.DoNotRetryIOException;
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import org.apache.hadoop.hbase.classification.InterfaceAudience;
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/**
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* Used for internal signalling that a Connection implementation needs to be
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* user-managed to be used for particular request types.
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*/
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@InterfaceAudience.Private
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public class NeedUnmanagedConnectionException extends DoNotRetryIOException {
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private static final long serialVersionUID = 1876775844L;
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public NeedUnmanagedConnectionException() {
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super("The connection has to be unmanaged.");
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}
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}
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@ -45,21 +45,23 @@ import org.apache.hadoop.mapred.Reporter;
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* <pre>
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* class ExampleTIF extends TableInputFormatBase implements JobConfigurable {
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*
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* {@literal @}Override
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* public void configure(JobConf job) {
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* try {
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* HTable exampleTable = new HTable(HBaseConfiguration.create(job),
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* Bytes.toBytes("exampleTable"));
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* // mandatory
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* setHTable(exampleTable);
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* Text[] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
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* byte[][] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
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* Bytes.toBytes("columnB") };
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* // mandatory
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* setInputColumns(inputColumns);
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* RowFilterInterface exampleFilter = new RegExpRowFilter("keyPrefix.*");
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* // optional
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* // optional, by default we'll get everything for the given columns.
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* Filter exampleFilter = new RowFilter(CompareOp.EQUAL, new RegexStringComparator("aa.*"));
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* setRowFilter(exampleFilter);
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* } catch (IOException exception) {
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* throw new RuntimeException("Failed to configure for job.", exception);
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* }
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*
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* public void validateInput(JobConf job) throws IOException {
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* }
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* }
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* </pre>
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@ -39,7 +39,9 @@ import org.apache.hadoop.hbase.HRegionLocation;
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import org.apache.hadoop.hbase.TableName;
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import org.apache.hadoop.hbase.client.Admin;
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import org.apache.hadoop.hbase.client.Connection;
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import org.apache.hadoop.hbase.client.ConnectionFactory;
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import org.apache.hadoop.hbase.client.HTable;
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import org.apache.hadoop.hbase.client.NeedUnmanagedConnectionException;
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import org.apache.hadoop.hbase.client.RegionLocator;
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import org.apache.hadoop.hbase.client.Result;
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import org.apache.hadoop.hbase.client.Scan;
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@ -69,26 +71,36 @@ import org.apache.hadoop.util.StringUtils;
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*
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* private JobConf job;
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*
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* {@literal @}Override
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* public void configure(JobConf job) {
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* this.job = job;
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* Text[] inputColumns = new byte [][] { Bytes.toBytes("cf1:columnA"),
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* Bytes.toBytes("cf2") };
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* // mandatory
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* setInputColumns(inputColumns);
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* RowFilterInterface exampleFilter = new RegExpRowFilter("keyPrefix.*");
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* // optional
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* setRowFilter(exampleFilter);
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* byte[][] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
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* Bytes.toBytes("columnB") };
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* // optional, by default we'll get everything for the table.
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* Scan scan = new Scan();
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* for (byte[] family : inputColumns) {
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* scan.addFamily(family);
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* }
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* Filter exampleFilter = new RowFilter(CompareOp.EQUAL, new RegexStringComparator("aa.*"));
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* scan.setFilter(exampleFilter);
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* setScan(scan);
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* }
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*
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* {@literal @}Override
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* protected void initialize() {
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* if (job == null) {
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* throw new IllegalStateException("must have already gotten the JobConf before " +
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* "initialize is called.");
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* }
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* try {
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* Connection connection =
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* ConnectionFactory.createConnection(HBaseConfiguration.create(job));
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* TableName tableName = TableName.valueOf("exampleTable");
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* // mandatory
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* initializeTable(connection, tableName);
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* } catch (IOException exception) {
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* throw new RuntimeException("Failed to initialize.", exception);
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* }
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*
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* public void validateInput(JobConf job) throws IOException {
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* }
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* }
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* </pre>
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@ -582,15 +594,31 @@ extends InputFormat<ImmutableBytesWritable, Result> {
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@Deprecated
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protected void setHTable(HTable table) throws IOException {
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this.table = table;
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this.regionLocator = table.getRegionLocator();
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this.connection = table.getConnection();
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try {
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this.regionLocator = table.getRegionLocator();
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this.admin = this.connection.getAdmin();
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} catch (NeedUnmanagedConnectionException exception) {
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LOG.warn("You are using an HTable instance that relies on an HBase-managed Connection. " +
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"This is usually due to directly creating an HTable, which is deprecated. Instead, you " +
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"should create a Connection object and then request a Table instance from it. If you " +
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"don't need the Table instance for your own use, you should instead use the " +
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"TableInputFormatBase.initalizeTable method directly.");
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LOG.info("Creating an additional unmanaged connection because user provided one can't be " +
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"used for administrative actions. We'll close it when we close out the table.");
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LOG.debug("Details about our failure to request an administrative interface.", exception);
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// Do we need a "copy the settings from this Connection" method? are things like the User
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// properly maintained by just looking again at the Configuration?
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this.connection = ConnectionFactory.createConnection(this.connection.getConfiguration());
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this.regionLocator = this.connection.getRegionLocator(table.getName());
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this.admin = this.connection.getAdmin();
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}
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}
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/**
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* Allows subclasses to initialize the table information.
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*
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* @param connection The {@link Connection} to the HBase cluster.
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* @param connection The Connection to the HBase cluster. MUST be unmanaged. We will close.
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* @param tableName The {@link TableName} of the table to process.
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* @throws IOException
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*/
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@ -35,15 +35,31 @@ import java.util.Map;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.hbase.*;
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import org.apache.hadoop.hbase.Cell;
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import org.apache.hadoop.hbase.client.HTable;
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import org.apache.hadoop.hbase.client.Put;
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import org.apache.hadoop.hbase.client.Result;
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import org.apache.hadoop.hbase.client.ResultScanner;
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import org.apache.hadoop.hbase.client.Scan;
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import org.apache.hadoop.hbase.client.Table;
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import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp;
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import org.apache.hadoop.hbase.filter.Filter;
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import org.apache.hadoop.hbase.filter.RegexStringComparator;
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import org.apache.hadoop.hbase.filter.RowFilter;
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import org.apache.hadoop.hbase.mapreduce.MapreduceTestingShim;
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import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
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import org.apache.hadoop.hbase.testclassification.LargeTests;
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import org.apache.hadoop.hbase.testclassification.MapReduceTests;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.io.NullWritable;
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import org.apache.hadoop.mapred.JobClient;
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import org.apache.hadoop.mapred.JobConf;
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import org.apache.hadoop.mapred.JobConfigurable;
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import org.apache.hadoop.mapred.MiniMRCluster;
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import org.apache.hadoop.mapred.OutputCollector;
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import org.apache.hadoop.mapred.Reporter;
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import org.apache.hadoop.mapred.RunningJob;
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import org.apache.hadoop.mapred.lib.NullOutputFormat;
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import org.junit.AfterClass;
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import org.junit.Before;
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import org.junit.BeforeClass;
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@ -62,6 +78,7 @@ public class TestTableInputFormat {
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private static final Log LOG = LogFactory.getLog(TestTableInputFormat.class);
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private final static HBaseTestingUtility UTIL = new HBaseTestingUtility();
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private static MiniMRCluster mrCluster;
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static final byte[] FAMILY = Bytes.toBytes("family");
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private static final byte[][] columns = new byte[][] { FAMILY };
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@ -69,10 +86,12 @@ public class TestTableInputFormat {
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@BeforeClass
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public static void beforeClass() throws Exception {
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UTIL.startMiniCluster();
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mrCluster = UTIL.startMiniMapReduceCluster();
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}
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@AfterClass
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public static void afterClass() throws Exception {
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UTIL.shutdownMiniMapReduceCluster();
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UTIL.shutdownMiniCluster();
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}
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@ -91,12 +110,27 @@ public class TestTableInputFormat {
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* @throws IOException
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*/
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public static Table createTable(byte[] tableName) throws IOException {
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Table table = UTIL.createTable(TableName.valueOf(tableName), new byte[][]{FAMILY});
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return createTable(tableName, new byte[][] { FAMILY });
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}
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/**
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* Setup a table with two rows and values per column family.
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*
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* @param tableName
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* @return
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* @throws IOException
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*/
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public static Table createTable(byte[] tableName, byte[][] families) throws IOException {
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Table table = UTIL.createTable(TableName.valueOf(tableName), families);
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Put p = new Put("aaa".getBytes());
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p.add(FAMILY, null, "value aaa".getBytes());
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for (byte[] family : families) {
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p.add(family, null, "value aaa".getBytes());
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}
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table.put(p);
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p = new Put("bbb".getBytes());
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p.add(FAMILY, null, "value bbb".getBytes());
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for (byte[] family : families) {
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p.add(family, null, "value bbb".getBytes());
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}
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table.put(p);
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return table;
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}
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@ -151,46 +185,6 @@ public class TestTableInputFormat {
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assertFalse(more);
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}
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/**
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* Create table data and run tests on specified htable using the
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* o.a.h.hbase.mapreduce API.
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*
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* @param table
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* @throws IOException
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* @throws InterruptedException
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*/
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static void runTestMapreduce(Table table) throws IOException,
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InterruptedException {
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org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl trr =
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new org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl();
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Scan s = new Scan();
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s.setStartRow("aaa".getBytes());
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s.setStopRow("zzz".getBytes());
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s.addFamily(FAMILY);
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trr.setScan(s);
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trr.setHTable(table);
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trr.initialize(null, null);
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Result r = new Result();
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ImmutableBytesWritable key = new ImmutableBytesWritable();
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boolean more = trr.nextKeyValue();
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assertTrue(more);
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key = trr.getCurrentKey();
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r = trr.getCurrentValue();
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checkResult(r, key, "aaa".getBytes(), "value aaa".getBytes());
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more = trr.nextKeyValue();
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assertTrue(more);
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key = trr.getCurrentKey();
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r = trr.getCurrentValue();
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checkResult(r, key, "bbb".getBytes(), "value bbb".getBytes());
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// no more data
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more = trr.nextKeyValue();
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assertFalse(more);
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}
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/**
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* Create a table that IOE's on first scanner next call
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*
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@ -321,70 +315,85 @@ public class TestTableInputFormat {
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}
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/**
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* Run test assuming no errors using newer mapreduce api
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*
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* @throws IOException
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* @throws InterruptedException
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* Verify the example we present in javadocs on TableInputFormatBase
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*/
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@Test
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public void testTableRecordReaderMapreduce() throws IOException,
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InterruptedException {
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Table table = createTable("table1-mr".getBytes());
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runTestMapreduce(table);
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public void testExtensionOfTableInputFormatBase() throws IOException {
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LOG.info("testing use of an InputFormat taht extends InputFormatBase");
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final Table table = createTable(Bytes.toBytes("exampleTable"),
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new byte[][] { Bytes.toBytes("columnA"), Bytes.toBytes("columnB") });
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final JobConf job = MapreduceTestingShim.getJobConf(mrCluster);
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job.setInputFormat(ExampleTIF.class);
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job.setOutputFormat(NullOutputFormat.class);
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job.setMapperClass(ExampleVerifier.class);
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job.setNumReduceTasks(0);
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LOG.debug("submitting job.");
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final RunningJob run = JobClient.runJob(job);
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assertTrue("job failed!", run.isSuccessful());
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assertEquals("Saw the wrong number of instances of the filtered-for row.", 2, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":row", "aaa").getCounter());
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assertEquals("Saw any instances of the filtered out row.", 0, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":row", "bbb").getCounter());
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assertEquals("Saw the wrong number of instances of columnA.", 1, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":family", "columnA").getCounter());
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assertEquals("Saw the wrong number of instances of columnB.", 1, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":family", "columnB").getCounter());
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assertEquals("Saw the wrong count of values for the filtered-for row.", 2, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":value", "value aaa").getCounter());
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assertEquals("Saw the wrong count of values for the filtered-out row.", 0, run.getCounters()
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.findCounter(TestTableInputFormat.class.getName() + ":value", "value bbb").getCounter());
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}
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/**
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* Run test assuming Scanner IOException failure using newer mapreduce api
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*
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* @throws IOException
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* @throws InterruptedException
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*/
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@Test
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public void testTableRecordReaderScannerFailMapreduce() throws IOException,
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InterruptedException {
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Table htable = createIOEScannerTable("table2-mr".getBytes(), 1);
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runTestMapreduce(htable);
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public static class ExampleVerifier implements TableMap<NullWritable, NullWritable> {
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@Override
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public void configure(JobConf conf) {
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}
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/**
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* Run test assuming Scanner IOException failure using newer mapreduce api
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*
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* @throws IOException
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* @throws InterruptedException
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*/
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@Test(expected = IOException.class)
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public void testTableRecordReaderScannerFailMapreduceTwice() throws IOException,
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InterruptedException {
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Table htable = createIOEScannerTable("table3-mr".getBytes(), 2);
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runTestMapreduce(htable);
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@Override
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public void map(ImmutableBytesWritable key, Result value,
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OutputCollector<NullWritable,NullWritable> output,
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Reporter reporter) throws IOException {
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for (Cell cell : value.listCells()) {
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reporter.getCounter(TestTableInputFormat.class.getName() + ":row",
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Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength()))
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.increment(1l);
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reporter.getCounter(TestTableInputFormat.class.getName() + ":family",
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Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength()))
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.increment(1l);
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reporter.getCounter(TestTableInputFormat.class.getName() + ":value",
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Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength()))
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.increment(1l);
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}
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}
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/**
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* Run test assuming UnknownScannerException (which is a type of
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* DoNotRetryIOException) using newer mapreduce api
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*
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* @throws InterruptedException
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* @throws org.apache.hadoop.hbase.DoNotRetryIOException
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*/
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@Test
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public void testTableRecordReaderScannerTimeoutMapreduce()
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throws IOException, InterruptedException {
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Table htable = createDNRIOEScannerTable("table4-mr".getBytes(), 1);
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runTestMapreduce(htable);
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@Override
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public void close() {
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}
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}
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public static class ExampleTIF extends TableInputFormatBase implements JobConfigurable {
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@Override
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public void configure(JobConf job) {
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try {
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HTable exampleTable = new HTable(HBaseConfiguration.create(job),
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Bytes.toBytes("exampleTable"));
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// mandatory
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setHTable(exampleTable);
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byte[][] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
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Bytes.toBytes("columnB") };
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// mandatory
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setInputColumns(inputColumns);
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Filter exampleFilter = new RowFilter(CompareOp.EQUAL, new RegexStringComparator("aa.*"));
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// optional
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setRowFilter(exampleFilter);
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} catch (IOException exception) {
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throw new RuntimeException("Failed to configure for job.", exception);
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}
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}
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/**
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* Run test assuming UnknownScannerException (which is a type of
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* DoNotRetryIOException) using newer mapreduce api
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*
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* @throws InterruptedException
|
||||
* @throws org.apache.hadoop.hbase.DoNotRetryIOException
|
||||
*/
|
||||
@Test(expected = org.apache.hadoop.hbase.DoNotRetryIOException.class)
|
||||
public void testTableRecordReaderScannerTimeoutMapreduceTwice()
|
||||
throws IOException, InterruptedException {
|
||||
Table htable = createDNRIOEScannerTable("table5-mr".getBytes(), 2);
|
||||
runTestMapreduce(htable);
|
||||
}
|
||||
|
||||
}
|
||||
|
|
|
|||
|
|
@ -53,6 +53,8 @@ abstract public class MapreduceTestingShim {
|
|||
abstract public JobContext newJobContext(Configuration jobConf)
|
||||
throws IOException;
|
||||
|
||||
abstract public Job newJob(Configuration conf) throws IOException;
|
||||
|
||||
abstract public JobConf obtainJobConf(MiniMRCluster cluster);
|
||||
|
||||
abstract public String obtainMROutputDirProp();
|
||||
|
|
@ -66,6 +68,10 @@ abstract public class MapreduceTestingShim {
|
|||
return instance.obtainJobConf(cluster);
|
||||
}
|
||||
|
||||
public static Job createJob(Configuration conf) throws IOException {
|
||||
return instance.newJob(conf);
|
||||
}
|
||||
|
||||
public static String getMROutputDirProp() {
|
||||
return instance.obtainMROutputDirProp();
|
||||
}
|
||||
|
|
@ -85,6 +91,20 @@ abstract public class MapreduceTestingShim {
|
|||
}
|
||||
}
|
||||
|
||||
@Override
|
||||
public Job newJob(Configuration conf) throws IOException {
|
||||
// Implementing:
|
||||
// return new Job(conf);
|
||||
Constructor<Job> c;
|
||||
try {
|
||||
c = Job.class.getConstructor(Configuration.class);
|
||||
return c.newInstance(conf);
|
||||
} catch (Exception e) {
|
||||
throw new IllegalStateException(
|
||||
"Failed to instantiate new Job(conf)", e);
|
||||
}
|
||||
}
|
||||
|
||||
public JobConf obtainJobConf(MiniMRCluster cluster) {
|
||||
if (cluster == null) return null;
|
||||
try {
|
||||
|
|
@ -110,11 +130,16 @@ abstract public class MapreduceTestingShim {
|
|||
|
||||
private static class MapreduceV2Shim extends MapreduceTestingShim {
|
||||
public JobContext newJobContext(Configuration jobConf) {
|
||||
return newJob(jobConf);
|
||||
}
|
||||
|
||||
@Override
|
||||
public Job newJob(Configuration jobConf) {
|
||||
// Implementing:
|
||||
// return Job.getInstance(jobConf);
|
||||
try {
|
||||
Method m = Job.class.getMethod("getInstance", Configuration.class);
|
||||
return (JobContext) m.invoke(null, jobConf); // static method, then arg
|
||||
return (Job) m.invoke(null, jobConf); // static method, then arg
|
||||
} catch (Exception e) {
|
||||
e.printStackTrace();
|
||||
throw new IllegalStateException(
|
||||
|
|
|
|||
|
|
@ -0,0 +1,462 @@
|
|||
/**
|
||||
*
|
||||
* 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.hadoop.hbase.mapreduce;
|
||||
|
||||
import static org.junit.Assert.assertEquals;
|
||||
import static org.junit.Assert.assertFalse;
|
||||
import static org.junit.Assert.assertTrue;
|
||||
import static org.mockito.Matchers.anyObject;
|
||||
import static org.mockito.Mockito.doAnswer;
|
||||
import static org.mockito.Mockito.doReturn;
|
||||
import static org.mockito.Mockito.doThrow;
|
||||
import static org.mockito.Mockito.mock;
|
||||
import static org.mockito.Mockito.spy;
|
||||
|
||||
import java.io.IOException;
|
||||
import java.util.Arrays;
|
||||
import java.util.Map;
|
||||
|
||||
import org.apache.commons.logging.Log;
|
||||
import org.apache.commons.logging.LogFactory;
|
||||
import org.apache.hadoop.hbase.*;
|
||||
import org.apache.hadoop.hbase.client.Connection;
|
||||
import org.apache.hadoop.hbase.client.ConnectionFactory;
|
||||
import org.apache.hadoop.hbase.client.HTable;
|
||||
import org.apache.hadoop.hbase.client.Put;
|
||||
import org.apache.hadoop.hbase.client.Result;
|
||||
import org.apache.hadoop.hbase.client.ResultScanner;
|
||||
import org.apache.hadoop.hbase.client.Scan;
|
||||
import org.apache.hadoop.hbase.client.Table;
|
||||
import org.apache.hadoop.hbase.filter.CompareFilter.CompareOp;
|
||||
import org.apache.hadoop.hbase.filter.Filter;
|
||||
import org.apache.hadoop.hbase.filter.RegexStringComparator;
|
||||
import org.apache.hadoop.hbase.filter.RowFilter;
|
||||
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
|
||||
import org.apache.hadoop.hbase.testclassification.LargeTests;
|
||||
import org.apache.hadoop.hbase.util.Bytes;
|
||||
import org.apache.hadoop.io.NullWritable;
|
||||
import org.apache.hadoop.mapred.JobConf;
|
||||
import org.apache.hadoop.mapred.JobConfigurable;
|
||||
import org.apache.hadoop.mapred.MiniMRCluster;
|
||||
import org.apache.hadoop.mapreduce.InputFormat;
|
||||
import org.apache.hadoop.mapreduce.Job;
|
||||
import org.apache.hadoop.mapreduce.Mapper.Context;
|
||||
import org.apache.hadoop.mapreduce.lib.output.NullOutputFormat;
|
||||
import org.junit.AfterClass;
|
||||
import org.junit.Before;
|
||||
import org.junit.BeforeClass;
|
||||
import org.junit.Test;
|
||||
import org.junit.experimental.categories.Category;
|
||||
import org.mockito.invocation.InvocationOnMock;
|
||||
import org.mockito.stubbing.Answer;
|
||||
|
||||
/**
|
||||
* This tests the TableInputFormat and its recovery semantics
|
||||
*
|
||||
*/
|
||||
@Category(LargeTests.class)
|
||||
public class TestTableInputFormat {
|
||||
|
||||
private static final Log LOG = LogFactory.getLog(TestTableInputFormat.class);
|
||||
|
||||
private final static HBaseTestingUtility UTIL = new HBaseTestingUtility();
|
||||
private static MiniMRCluster mrCluster;
|
||||
static final byte[] FAMILY = Bytes.toBytes("family");
|
||||
|
||||
private static final byte[][] columns = new byte[][] { FAMILY };
|
||||
|
||||
@BeforeClass
|
||||
public static void beforeClass() throws Exception {
|
||||
UTIL.startMiniCluster();
|
||||
mrCluster = UTIL.startMiniMapReduceCluster();
|
||||
}
|
||||
|
||||
@AfterClass
|
||||
public static void afterClass() throws Exception {
|
||||
UTIL.shutdownMiniMapReduceCluster();
|
||||
UTIL.shutdownMiniCluster();
|
||||
}
|
||||
|
||||
@Before
|
||||
public void before() throws IOException {
|
||||
LOG.info("before");
|
||||
UTIL.ensureSomeRegionServersAvailable(1);
|
||||
LOG.info("before done");
|
||||
}
|
||||
|
||||
/**
|
||||
* Setup a table with two rows and values.
|
||||
*
|
||||
* @param tableName
|
||||
* @return
|
||||
* @throws IOException
|
||||
*/
|
||||
public static Table createTable(byte[] tableName) throws IOException {
|
||||
return createTable(tableName, new byte[][] { FAMILY });
|
||||
}
|
||||
|
||||
/**
|
||||
* Setup a table with two rows and values per column family.
|
||||
*
|
||||
* @param tableName
|
||||
* @return
|
||||
* @throws IOException
|
||||
*/
|
||||
public static Table createTable(byte[] tableName, byte[][] families) throws IOException {
|
||||
Table table = UTIL.createTable(TableName.valueOf(tableName), families);
|
||||
Put p = new Put("aaa".getBytes());
|
||||
for (byte[] family : families) {
|
||||
p.add(family, null, "value aaa".getBytes());
|
||||
}
|
||||
table.put(p);
|
||||
p = new Put("bbb".getBytes());
|
||||
for (byte[] family : families) {
|
||||
p.add(family, null, "value bbb".getBytes());
|
||||
}
|
||||
table.put(p);
|
||||
return table;
|
||||
}
|
||||
|
||||
/**
|
||||
* Verify that the result and key have expected values.
|
||||
*
|
||||
* @param r
|
||||
* @param key
|
||||
* @param expectedKey
|
||||
* @param expectedValue
|
||||
* @return
|
||||
*/
|
||||
static boolean checkResult(Result r, ImmutableBytesWritable key,
|
||||
byte[] expectedKey, byte[] expectedValue) {
|
||||
assertEquals(0, key.compareTo(expectedKey));
|
||||
Map<byte[], byte[]> vals = r.getFamilyMap(FAMILY);
|
||||
byte[] value = vals.values().iterator().next();
|
||||
assertTrue(Arrays.equals(value, expectedValue));
|
||||
return true; // if succeed
|
||||
}
|
||||
|
||||
/**
|
||||
* Create table data and run tests on specified htable using the
|
||||
* o.a.h.hbase.mapreduce API.
|
||||
*
|
||||
* @param table
|
||||
* @throws IOException
|
||||
* @throws InterruptedException
|
||||
*/
|
||||
static void runTestMapreduce(Table table) throws IOException,
|
||||
InterruptedException {
|
||||
org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl trr =
|
||||
new org.apache.hadoop.hbase.mapreduce.TableRecordReaderImpl();
|
||||
Scan s = new Scan();
|
||||
s.setStartRow("aaa".getBytes());
|
||||
s.setStopRow("zzz".getBytes());
|
||||
s.addFamily(FAMILY);
|
||||
trr.setScan(s);
|
||||
trr.setHTable(table);
|
||||
|
||||
trr.initialize(null, null);
|
||||
Result r = new Result();
|
||||
ImmutableBytesWritable key = new ImmutableBytesWritable();
|
||||
|
||||
boolean more = trr.nextKeyValue();
|
||||
assertTrue(more);
|
||||
key = trr.getCurrentKey();
|
||||
r = trr.getCurrentValue();
|
||||
checkResult(r, key, "aaa".getBytes(), "value aaa".getBytes());
|
||||
|
||||
more = trr.nextKeyValue();
|
||||
assertTrue(more);
|
||||
key = trr.getCurrentKey();
|
||||
r = trr.getCurrentValue();
|
||||
checkResult(r, key, "bbb".getBytes(), "value bbb".getBytes());
|
||||
|
||||
// no more data
|
||||
more = trr.nextKeyValue();
|
||||
assertFalse(more);
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a table that IOE's on first scanner next call
|
||||
*
|
||||
* @throws IOException
|
||||
*/
|
||||
static Table createIOEScannerTable(byte[] name, final int failCnt)
|
||||
throws IOException {
|
||||
// build up a mock scanner stuff to fail the first time
|
||||
Answer<ResultScanner> a = new Answer<ResultScanner>() {
|
||||
int cnt = 0;
|
||||
|
||||
@Override
|
||||
public ResultScanner answer(InvocationOnMock invocation) throws Throwable {
|
||||
// first invocation return the busted mock scanner
|
||||
if (cnt++ < failCnt) {
|
||||
// create mock ResultScanner that always fails.
|
||||
Scan scan = mock(Scan.class);
|
||||
doReturn("bogus".getBytes()).when(scan).getStartRow(); // avoid npe
|
||||
ResultScanner scanner = mock(ResultScanner.class);
|
||||
// simulate TimeoutException / IOException
|
||||
doThrow(new IOException("Injected exception")).when(scanner).next();
|
||||
return scanner;
|
||||
}
|
||||
|
||||
// otherwise return the real scanner.
|
||||
return (ResultScanner) invocation.callRealMethod();
|
||||
}
|
||||
};
|
||||
|
||||
Table htable = spy(createTable(name));
|
||||
doAnswer(a).when(htable).getScanner((Scan) anyObject());
|
||||
return htable;
|
||||
}
|
||||
|
||||
/**
|
||||
* Create a table that throws a DoNoRetryIOException on first scanner next
|
||||
* call
|
||||
*
|
||||
* @throws IOException
|
||||
*/
|
||||
static Table createDNRIOEScannerTable(byte[] name, final int failCnt)
|
||||
throws IOException {
|
||||
// build up a mock scanner stuff to fail the first time
|
||||
Answer<ResultScanner> a = new Answer<ResultScanner>() {
|
||||
int cnt = 0;
|
||||
|
||||
@Override
|
||||
public ResultScanner answer(InvocationOnMock invocation) throws Throwable {
|
||||
// first invocation return the busted mock scanner
|
||||
if (cnt++ < failCnt) {
|
||||
// create mock ResultScanner that always fails.
|
||||
Scan scan = mock(Scan.class);
|
||||
doReturn("bogus".getBytes()).when(scan).getStartRow(); // avoid npe
|
||||
ResultScanner scanner = mock(ResultScanner.class);
|
||||
|
||||
invocation.callRealMethod(); // simulate UnknownScannerException
|
||||
doThrow(
|
||||
new UnknownScannerException("Injected simulated TimeoutException"))
|
||||
.when(scanner).next();
|
||||
return scanner;
|
||||
}
|
||||
|
||||
// otherwise return the real scanner.
|
||||
return (ResultScanner) invocation.callRealMethod();
|
||||
}
|
||||
};
|
||||
|
||||
Table htable = spy(createTable(name));
|
||||
doAnswer(a).when(htable).getScanner((Scan) anyObject());
|
||||
return htable;
|
||||
}
|
||||
|
||||
/**
|
||||
* Run test assuming no errors using newer mapreduce api
|
||||
*
|
||||
* @throws IOException
|
||||
* @throws InterruptedException
|
||||
*/
|
||||
@Test
|
||||
public void testTableRecordReaderMapreduce() throws IOException,
|
||||
InterruptedException {
|
||||
Table table = createTable("table1-mr".getBytes());
|
||||
runTestMapreduce(table);
|
||||
}
|
||||
|
||||
/**
|
||||
* Run test assuming Scanner IOException failure using newer mapreduce api
|
||||
*
|
||||
* @throws IOException
|
||||
* @throws InterruptedException
|
||||
*/
|
||||
@Test
|
||||
public void testTableRecordReaderScannerFailMapreduce() throws IOException,
|
||||
InterruptedException {
|
||||
Table htable = createIOEScannerTable("table2-mr".getBytes(), 1);
|
||||
runTestMapreduce(htable);
|
||||
}
|
||||
|
||||
/**
|
||||
* Run test assuming Scanner IOException failure using newer mapreduce api
|
||||
*
|
||||
* @throws IOException
|
||||
* @throws InterruptedException
|
||||
*/
|
||||
@Test(expected = IOException.class)
|
||||
public void testTableRecordReaderScannerFailMapreduceTwice() throws IOException,
|
||||
InterruptedException {
|
||||
Table htable = createIOEScannerTable("table3-mr".getBytes(), 2);
|
||||
runTestMapreduce(htable);
|
||||
}
|
||||
|
||||
/**
|
||||
* Run test assuming UnknownScannerException (which is a type of
|
||||
* DoNotRetryIOException) using newer mapreduce api
|
||||
*
|
||||
* @throws InterruptedException
|
||||
* @throws org.apache.hadoop.hbase.DoNotRetryIOException
|
||||
*/
|
||||
@Test
|
||||
public void testTableRecordReaderScannerTimeoutMapreduce()
|
||||
throws IOException, InterruptedException {
|
||||
Table htable = createDNRIOEScannerTable("table4-mr".getBytes(), 1);
|
||||
runTestMapreduce(htable);
|
||||
}
|
||||
|
||||
/**
|
||||
* Run test assuming UnknownScannerException (which is a type of
|
||||
* DoNotRetryIOException) using newer mapreduce api
|
||||
*
|
||||
* @throws InterruptedException
|
||||
* @throws org.apache.hadoop.hbase.DoNotRetryIOException
|
||||
*/
|
||||
@Test(expected = org.apache.hadoop.hbase.DoNotRetryIOException.class)
|
||||
public void testTableRecordReaderScannerTimeoutMapreduceTwice()
|
||||
throws IOException, InterruptedException {
|
||||
Table htable = createDNRIOEScannerTable("table5-mr".getBytes(), 2);
|
||||
runTestMapreduce(htable);
|
||||
}
|
||||
|
||||
/**
|
||||
* Verify the example we present in javadocs on TableInputFormatBase
|
||||
*/
|
||||
@Test
|
||||
public void testExtensionOfTableInputFormatBase()
|
||||
throws IOException, InterruptedException, ClassNotFoundException {
|
||||
LOG.info("testing use of an InputFormat taht extends InputFormatBase");
|
||||
final Table htable = createTable(Bytes.toBytes("exampleTable"),
|
||||
new byte[][] { Bytes.toBytes("columnA"), Bytes.toBytes("columnB") });
|
||||
testInputFormat(ExampleTIF.class);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testDeprecatedExtensionOfTableInputFormatBase()
|
||||
throws IOException, InterruptedException, ClassNotFoundException {
|
||||
LOG.info("testing use of an InputFormat taht extends InputFormatBase, " +
|
||||
"using the approach documented in 0.98.");
|
||||
final Table htable = createTable(Bytes.toBytes("exampleDeprecatedTable"),
|
||||
new byte[][] { Bytes.toBytes("columnA"), Bytes.toBytes("columnB") });
|
||||
testInputFormat(ExampleDeprecatedTIF.class);
|
||||
}
|
||||
|
||||
void testInputFormat(Class<? extends InputFormat> clazz)
|
||||
throws IOException, InterruptedException, ClassNotFoundException {
|
||||
final Job job = MapreduceTestingShim.createJob(UTIL.getConfiguration());
|
||||
job.setInputFormatClass(clazz);
|
||||
job.setOutputFormatClass(NullOutputFormat.class);
|
||||
job.setMapperClass(ExampleVerifier.class);
|
||||
job.setNumReduceTasks(0);
|
||||
|
||||
LOG.debug("submitting job.");
|
||||
assertTrue("job failed!", job.waitForCompletion(true));
|
||||
assertEquals("Saw the wrong number of instances of the filtered-for row.", 2, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":row", "aaa").getValue());
|
||||
assertEquals("Saw any instances of the filtered out row.", 0, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":row", "bbb").getValue());
|
||||
assertEquals("Saw the wrong number of instances of columnA.", 1, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":family", "columnA").getValue());
|
||||
assertEquals("Saw the wrong number of instances of columnB.", 1, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":family", "columnB").getValue());
|
||||
assertEquals("Saw the wrong count of values for the filtered-for row.", 2, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":value", "value aaa").getValue());
|
||||
assertEquals("Saw the wrong count of values for the filtered-out row.", 0, job.getCounters()
|
||||
.findCounter(TestTableInputFormat.class.getName() + ":value", "value bbb").getValue());
|
||||
}
|
||||
|
||||
public static class ExampleVerifier extends TableMapper<NullWritable, NullWritable> {
|
||||
|
||||
@Override
|
||||
public void map(ImmutableBytesWritable key, Result value, Context context)
|
||||
throws IOException {
|
||||
for (Cell cell : value.listCells()) {
|
||||
context.getCounter(TestTableInputFormat.class.getName() + ":row",
|
||||
Bytes.toString(cell.getRowArray(), cell.getRowOffset(), cell.getRowLength()))
|
||||
.increment(1l);
|
||||
context.getCounter(TestTableInputFormat.class.getName() + ":family",
|
||||
Bytes.toString(cell.getFamilyArray(), cell.getFamilyOffset(), cell.getFamilyLength()))
|
||||
.increment(1l);
|
||||
context.getCounter(TestTableInputFormat.class.getName() + ":value",
|
||||
Bytes.toString(cell.getValueArray(), cell.getValueOffset(), cell.getValueLength()))
|
||||
.increment(1l);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public static class ExampleDeprecatedTIF extends TableInputFormatBase implements JobConfigurable {
|
||||
|
||||
@Override
|
||||
public void configure(JobConf job) {
|
||||
try {
|
||||
HTable exampleTable = new HTable(HBaseConfiguration.create(job),
|
||||
Bytes.toBytes("exampleDeprecatedTable"));
|
||||
// mandatory
|
||||
setHTable(exampleTable);
|
||||
byte[][] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
|
||||
Bytes.toBytes("columnB") };
|
||||
// optional
|
||||
Scan scan = new Scan();
|
||||
for (byte[] family : inputColumns) {
|
||||
scan.addFamily(family);
|
||||
}
|
||||
Filter exampleFilter = new RowFilter(CompareOp.EQUAL, new RegexStringComparator("aa.*"));
|
||||
scan.setFilter(exampleFilter);
|
||||
setScan(scan);
|
||||
} catch (IOException exception) {
|
||||
throw new RuntimeException("Failed to configure for job.", exception);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
|
||||
public static class ExampleTIF extends TableInputFormatBase implements JobConfigurable {
|
||||
|
||||
private JobConf job;
|
||||
|
||||
@Override
|
||||
public void configure(JobConf job) {
|
||||
this.job = job;
|
||||
byte[][] inputColumns = new byte [][] { Bytes.toBytes("columnA"),
|
||||
Bytes.toBytes("columnB") };
|
||||
//optional
|
||||
Scan scan = new Scan();
|
||||
for (byte[] family : inputColumns) {
|
||||
scan.addFamily(family);
|
||||
}
|
||||
Filter exampleFilter = new RowFilter(CompareOp.EQUAL, new RegexStringComparator("aa.*"));
|
||||
scan.setFilter(exampleFilter);
|
||||
setScan(scan);
|
||||
}
|
||||
|
||||
@Override
|
||||
protected void initialize() {
|
||||
if (job == null) {
|
||||
throw new IllegalStateException("must have already gotten the JobConf before initialize " +
|
||||
"is called.");
|
||||
}
|
||||
try {
|
||||
Connection connection = ConnectionFactory.createConnection(HBaseConfiguration.create(job));
|
||||
TableName tableName = TableName.valueOf("exampleTable");
|
||||
// mandatory
|
||||
initializeTable(connection, tableName);
|
||||
} catch (IOException exception) {
|
||||
throw new RuntimeException("Failed to initialize.", exception);
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue