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HBASE-25109 Add MR Counters to WALPlayer; currently hard to tell if it is doing anything (#2468) 

Add MR counters so operator can see if WALPlayer run actually did
anything. Fix bugs in usage (it enforced two args though usage
describes allowing one arg only). Clean up usage output. In
particular add note on wal file separator as hbase by default uses
the ',' in its WAL file names which could befuddle operator
trying to do simple import.

Signed-off-by: Huaxiang Sun <huaxiangsun@apache.com>
This commit is contained in:
Michael Stack 2020-09-30 09:34:15 -07:00 committed by stack
parent 9fc29c4cbf
commit 01876071b9
5 changed files with 75 additions and 53 deletions
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3
hbase-mapreduce/src/main/java/org/apache/hadoop/hbase/mapreduce/Driver.java
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@ -1,4 +1,4 @@
/**
/*
*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
@ -34,6 +34,7 @@ import org.apache.yetus.audience.InterfaceStability;
@InterfaceAudience.LimitedPrivate(HBaseInterfaceAudience.TOOLS)
@InterfaceStability.Stable
public class Driver {
private Driver() {}
public static void main(String[] args) throws Throwable {
ProgramDriver pgd = new ProgramDriver();

5
hbase-mapreduce/src/main/java/org/apache/hadoop/hbase/mapreduce/WALInputFormat.java
View File

@ -154,14 +154,13 @@ public class WALInputFormat extends InputFormat<WALKey, WALEdit> {
WALSplit hsplit = (WALSplit)split;
logFile = new Path(hsplit.getLogFileName());
conf = context.getConfiguration();
LOG.info("Opening reader for "+split);
LOG.info("Opening {} for {}", logFile, split);
openReader(logFile);
this.startTime = hsplit.getStartTime();
this.endTime = hsplit.getEndTime();
}
private void openReader(Path path) throws IOException
{
private void openReader(Path path) throws IOException {
closeReader();
reader = AbstractFSWALProvider.openReader(path, conf);
seek();

72
hbase-mapreduce/src/main/java/org/apache/hadoop/hbase/mapreduce/WALPlayer.java
View File

@ -58,6 +58,8 @@ import org.apache.yetus.audience.InterfaceAudience;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
/**
* A tool to replay WAL files as a M/R job.
* The WAL can be replayed for a set of tables or all tables,
@ -140,7 +142,22 @@ public class WALPlayer extends Configured implements Tool {
}
/**
* A mapper that writes out {@link Mutation} to be directly applied to a running HBase instance.
* Enum for map metrics. Keep it out here rather than inside in the Map
* inner-class so we can find associated properties.
*/
protected static enum Counter {
/** Number of aggregated writes */
PUTS,
/** Number of aggregated deletes */
DELETES,
CELLS_READ,
CELLS_WRITTEN,
WALEDITS
}
/**
* A mapper that writes out {@link Mutation} to be directly applied to
* a running HBase instance.
*/
protected static class WALMapper
extends Mapper<WALKey, WALEdit, ImmutableBytesWritable, Mutation> {
@ -148,6 +165,7 @@ public class WALPlayer extends Configured implements Tool {
@Override
public void map(WALKey key, WALEdit value, Context context) throws IOException {
context.getCounter(Counter.WALEDITS).increment(1);
try {
if (tables.isEmpty() || tables.containsKey(key.getTableName())) {
TableName targetTable =
@ -157,6 +175,7 @@ public class WALPlayer extends Configured implements Tool {
Delete del = null;
Cell lastCell = null;
for (Cell cell : value.getCells()) {
context.getCounter(Counter.CELLS_READ).increment(1);
// Filtering WAL meta marker entries.
if (WALEdit.isMetaEditFamily(cell)) {
continue;
@ -172,9 +191,11 @@ public class WALPlayer extends Configured implements Tool {
// row or type changed, write out aggregate KVs.
if (put != null) {
context.write(tableOut, put);
context.getCounter(Counter.PUTS).increment(1);
}
if (del != null) {
context.write(tableOut, del);
context.getCounter(Counter.DELETES).increment(1);
}
if (CellUtil.isDelete(cell)) {
del = new Delete(CellUtil.cloneRow(cell));
@ -187,14 +208,17 @@ public class WALPlayer extends Configured implements Tool {
} else {
put.add(cell);
}
context.getCounter(Counter.CELLS_WRITTEN).increment(1);
}
lastCell = cell;
}
// write residual KVs
if (put != null) {
context.write(tableOut, put);
context.getCounter(Counter.PUTS).increment(1);
}
if (del != null) {
context.getCounter(Counter.DELETES).increment(1);
context.write(tableOut, del);
}
}
@ -270,7 +294,7 @@ public class WALPlayer extends Configured implements Tool {
setupTime(conf, WALInputFormat.START_TIME_KEY);
setupTime(conf, WALInputFormat.END_TIME_KEY);
String inputDirs = args[0];
String[] tables = args[1].split(",");
String[] tables = args.length == 1? new String [] {}: args[1].split(",");
String[] tableMap;
if (args.length > 2) {
tableMap = args[2].split(",");
@ -278,7 +302,7 @@ public class WALPlayer extends Configured implements Tool {
throw new IOException("The same number of tables and mapping must be provided.");
}
} else {
// if not mapping is specified map each table to itself
// if no mapping is specified, map each table to itself
tableMap = tables;
}
conf.setStrings(TABLES_KEY, tables);
@ -349,27 +373,27 @@ public class WALPlayer extends Configured implements Tool {
if (errorMsg != null && errorMsg.length() > 0) {
System.err.println("ERROR: " + errorMsg);
}
System.err.println("Usage: " + NAME + " [options] <wal inputdir> <tables> [<tableMappings>]");
System.err.println("Replay all WAL files into HBase.");
System.err.println("<tables> is a comma separated list of tables.");
System.err.println("If no tables (\"\") are specified, all tables are imported.");
System.err.println("(Be careful, hbase:meta entries will be imported in this case.)\n");
System.err.println("WAL entries can be mapped to new set of tables via <tableMappings>.");
System.err.println("<tableMappings> is a comma separated list of target tables.");
System.err.println("If specified, each table in <tables> must have a mapping.\n");
System.err.println("By default " + NAME + " will load data directly into HBase.");
System.err.println("To generate HFiles for a bulk data load instead, pass the following option:");
System.err.println(" -D" + BULK_OUTPUT_CONF_KEY + "=/path/for/output");
System.err.println(" (Only one table can be specified, and no mapping is allowed!)");
System.err.println("Time range options:");
System.err.println(" -D" + WALInputFormat.START_TIME_KEY + "=[date|ms]");
System.err.println(" -D" + WALInputFormat.END_TIME_KEY + "=[date|ms]");
System.err.println(" (The start and the end date of timerange. The dates can be expressed");
System.err.println(" in milliseconds since epoch or in yyyy-MM-dd'T'HH:mm:ss.SS format.");
System.err.println(" E.g. 1234567890120 or 2009-02-13T23:32:30.12)");
System.err.println("Usage: " + NAME + " [options] <WAL inputdir> [<tables> <tableMappings>]");
System.err.println(" <WAL inputdir> directory of WALs to replay.");
System.err.println(" <tables> comma separated list of tables. If no tables specified,");
System.err.println(" all are imported (even hbase:meta if present).");
System.err.println(" <tableMappings> WAL entries can be mapped to a new set of tables by passing");
System.err.println(" <tableMappings>, a comma separated list of target tables.");
System.err.println(" If specified, each table in <tables> must have a mapping.");
System.err.println("To generate HFiles to bulk load instead of loading HBase directly, pass:");
System.err.println(" -D" + BULK_OUTPUT_CONF_KEY + "=/path/for/output");
System.err.println(" Only one table can be specified, and no mapping allowed!");
System.err.println("To specify a time range, pass:");
System.err.println(" -D" + WALInputFormat.START_TIME_KEY + "=[date|ms]");
System.err.println(" -D" + WALInputFormat.END_TIME_KEY + "=[date|ms]");
System.err.println(" The start and the end date of timerange. The dates can be expressed");
System.err.println(" in milliseconds since epoch or in yyyy-MM-dd'T'HH:mm:ss.SS format.");
System.err.println(" E.g. 1234567890120 or 2009-02-13T23:32:30.12");
System.err.println("Other options:");
System.err.println(" -D" + JOB_NAME_CONF_KEY + "=jobName");
System.err.println(" Use the specified mapreduce job name for the wal player");
System.err.println(" -D" + JOB_NAME_CONF_KEY + "=jobName");
System.err.println(" Use the specified mapreduce job name for the wal player");
System.err.println(" -Dwal.input.separator=' '");
System.err.println(" Change WAL filename separator (WAL dir names use default ','.)");
System.err.println("For performance also consider the following options:\n"
+ " -Dmapreduce.map.speculative=false\n"
+ " -Dmapreduce.reduce.speculative=false");
@ -387,7 +411,7 @@ public class WALPlayer extends Configured implements Tool {
@Override
public int run(String[] args) throws Exception {
if (args.length < 2) {
if (args.length < 1) {
usage("Wrong number of arguments: " + args.length);
System.exit(-1);
}

4
hbase-mapreduce/src/test/java/org/apache/hadoop/hbase/mapreduce/TestWALPlayer.java
View File

@ -223,8 +223,8 @@ public class TestWALPlayer {
} catch (SecurityException e) {
assertEquals(-1, newSecurityManager.getExitCode());
assertTrue(data.toString().contains("ERROR: Wrong number of arguments:"));
assertTrue(data.toString().contains("Usage: WALPlayer [options] <wal inputdir>" +
" <tables> [<tableMappings>]"));
assertTrue(data.toString().contains("Usage: WALPlayer [options] <WAL inputdir>" +
" [<tables> <tableMappings>]"));
assertTrue(data.toString().contains("-Dwal.bulk.output=/path/for/output"));
}

44
src/main/asciidoc/_chapters/ops_mgt.adoc
View File

@ -914,7 +914,7 @@ see <<_wal_tools>>.
Invoke via:
----
$ bin/hbase org.apache.hadoop.hbase.mapreduce.WALPlayer [options] <wal inputdir> <tables> [<tableMappings>]>
$ bin/hbase org.apache.hadoop.hbase.mapreduce.WALPlayer [options] <WAL inputdir> [<tables> <tableMappings>]>
----
For example:
@ -932,29 +932,27 @@ To NOT run WALPlayer as a mapreduce job on your cluster, force it to run all in
Running `WALPlayer` with no arguments prints brief usage information:
----
Usage: WALPlayer [options] <wal inputdir> <tables> [<tableMappings>]
Replay all WAL files into HBase.
<tables> is a comma separated list of tables.
If no tables ("") are specified, all tables are imported.
(Be careful, hbase:meta entries will be imported in this case.)
WAL entries can be mapped to new set of tables via <tableMappings>.
<tableMappings> is a comma separated list of target tables.
If specified, each table in <tables> must have a mapping.
By default WALPlayer will load data directly into HBase.
To generate HFiles for a bulk data load instead, pass the following option:
-Dwal.bulk.output=/path/for/output
(Only one table can be specified, and no mapping is allowed!)
Time range options:
-Dwal.start.time=[date|ms]
-Dwal.end.time=[date|ms]
(The start and the end date of timerange. The dates can be expressed
in milliseconds since epoch or in yyyy-MM-dd'T'HH:mm:ss.SS format.
E.g. 1234567890120 or 2009-02-13T23:32:30.12)
Usage: WALPlayer [options] <WAL inputdir> [<tables> <tableMappings>]
<WAL inputdir> directory of WALs to replay.
<tables> comma separated list of tables. If no tables specified,
all are imported (even hbase:meta if present).
<tableMappings> WAL entries can be mapped to a new set of tables by passing
<tableMappings>, a comma separated list of target tables.
If specified, each table in <tables> must have a mapping.
To generate HFiles to bulk load instead of loading HBase directly, pass:
-Dwal.bulk.output=/path/for/output
Only one table can be specified, and no mapping allowed!
To specify a time range, pass:
-Dwal.start.time=[date|ms]
-Dwal.end.time=[date|ms]
The start and the end date of timerange. The dates can be expressed
in milliseconds since epoch or in yyyy-MM-dd'T'HH:mm:ss.SS format.
E.g. 1234567890120 or 2009-02-13T23:32:30.12
Other options:
-Dmapreduce.job.name=jobName
Use the specified mapreduce job name for the wal player
-Dmapreduce.job.name=jobName
Use the specified mapreduce job name for the wal player
-Dwal.input.separator=' '
Change WAL filename separator (WAL dir names use default ','.)
For performance also consider the following options:
-Dmapreduce.map.speculative=false
-Dmapreduce.reduce.speculative=false