YARN-3411. [Storage implementation] explore the native HBase write schema for storage (Vrushali C via sjlee)

(cherry picked from commit 7a3068854d27eadae1c57545988f5b2029bf119a)
This commit is contained in:
Sangjin Lee 2015-05-21 14:11:01 -07:00
parent d275677e24
commit 5a4278ccbd
9 changed files with 1446 additions and 0 deletions

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@ -59,6 +59,13 @@ public abstract class TimelineCollectorManager extends AbstractService {
super.serviceInit(conf);
}
@Override
protected void serviceStart() throws Exception {
super.serviceStart();
if (writer != null) {
writer.start();
}
}
// access to this map is synchronized with the map itself
private final Map<ApplicationId, TimelineCollector> collectors =
@ -147,4 +154,16 @@ public abstract class TimelineCollectorManager extends AbstractService {
return collectors.containsKey(appId);
}
@Override
protected void serviceStop() throws Exception {
if (collectors != null && collectors.size() > 1) {
for (TimelineCollector c : collectors.values()) {
c.serviceStop();
}
}
if (writer != null) {
writer.close();
}
super.serviceStop();
}
}

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@ -0,0 +1,110 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import java.util.Set;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.hbase.client.BufferedMutator;
import org.apache.hadoop.hbase.util.Bytes;
/**
* Contains the Info Column Family details like Column names, types and byte
* representations for
* {@link org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity}
* object that is stored in hbase Also has utility functions for storing each of
* these to the backend
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
enum EntityColumnDetails {
ID(EntityColumnFamily.INFO, "id"),
TYPE(EntityColumnFamily.INFO, "type"),
CREATED_TIME(EntityColumnFamily.INFO, "created_time"),
MODIFIED_TIME(EntityColumnFamily.INFO, "modified_time"),
FLOW_VERSION(EntityColumnFamily.INFO, "flow_version"),
PREFIX_IS_RELATED_TO(EntityColumnFamily.INFO, "r"),
PREFIX_RELATES_TO(EntityColumnFamily.INFO, "s"),
PREFIX_EVENTS(EntityColumnFamily.INFO, "e");
private final EntityColumnFamily columnFamily;
private final String value;
private final byte[] inBytes;
private EntityColumnDetails(EntityColumnFamily columnFamily,
String value) {
this.columnFamily = columnFamily;
this.value = value;
this.inBytes = Bytes.toBytes(this.value.toLowerCase());
}
public String getValue() {
return value;
}
byte[] getInBytes() {
return inBytes;
}
void store(byte[] rowKey, BufferedMutator entityTable, Object inputValue)
throws IOException {
TimelineWriterUtils.store(rowKey, entityTable,
this.columnFamily.getInBytes(), null, this.getInBytes(), inputValue,
null);
}
/**
* stores events data with column prefix
*/
void store(byte[] rowKey, BufferedMutator entityTable, byte[] idBytes,
String key, Object inputValue) throws IOException {
TimelineWriterUtils.store(rowKey, entityTable,
this.columnFamily.getInBytes(),
// column prefix
TimelineWriterUtils.join(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES,
this.getInBytes(), idBytes),
// column qualifier
Bytes.toBytes(key),
inputValue, null);
}
/**
* stores relation entities with a column prefix
*/
void store(byte[] rowKey, BufferedMutator entityTable, String key,
Set<String> inputValue) throws IOException {
TimelineWriterUtils.store(rowKey, entityTable,
this.columnFamily.getInBytes(),
// column prefix
this.getInBytes(),
// column qualifier
Bytes.toBytes(key),
// value
TimelineWriterUtils.getValueAsString(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR, inputValue),
// cell timestamp
null);
}
// TODO add a method that accepts a byte array,
// iterates over the enum and returns an enum from those bytes
}

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@ -0,0 +1,95 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.hbase.client.BufferedMutator;
import org.apache.hadoop.hbase.util.Bytes;
/**
* Contains the Column family names and byte representations for
* {@link org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity}
* object that is stored in hbase
* Also has utility functions for storing each of these to the backend
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
enum EntityColumnFamily {
INFO("i"),
CONFIG("c"),
METRICS("m");
private final String value;
private final byte[] inBytes;
private EntityColumnFamily(String value) {
this.value = value;
this.inBytes = Bytes.toBytes(this.value.toLowerCase());
}
byte[] getInBytes() {
return inBytes;
}
public String getValue() {
return value;
}
/**
* stores the key as column and value as hbase column value in the given
* column family in the entity table
*
* @param rowKey
* @param entityTable
* @param inputValue
* @throws IOException
*/
public void store(byte[] rowKey, BufferedMutator entityTable, String key,
String inputValue) throws IOException {
if (key == null) {
return;
}
TimelineWriterUtils.store(rowKey, entityTable, this.getInBytes(), null,
Bytes.toBytes(key), inputValue, null);
}
/**
* stores the values along with cell timestamp
*
* @param rowKey
* @param entityTable
* @param key
* @param timestamp
* @param inputValue
* @throws IOException
*/
public void store(byte[] rowKey, BufferedMutator entityTable, String key,
Long timestamp, Number inputValue) throws IOException {
if (key == null) {
return;
}
TimelineWriterUtils.store(rowKey, entityTable, this.getInBytes(), null,
Bytes.toBytes(key), inputValue, timestamp);
}
// TODO add a method that accepts a byte array,
// iterates over the enum and returns an enum from those bytes
}

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@ -0,0 +1,225 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import java.util.Map;
import java.util.Set;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.service.AbstractService;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineWriteResponse;
import org.apache.hadoop.hbase.client.BufferedMutator;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.yarn.server.timelineservice.storage.TimelineEntitySchemaConstants;
/**
* This implements a hbase based backend for storing application timeline entity
* information.
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class HBaseTimelineWriterImpl extends AbstractService implements
TimelineWriter {
private Connection conn;
private BufferedMutator entityTable;
private static final Log LOG = LogFactory
.getLog(HBaseTimelineWriterImpl.class);
public HBaseTimelineWriterImpl() {
super(HBaseTimelineWriterImpl.class.getName());
}
public HBaseTimelineWriterImpl(Configuration conf) throws IOException {
super(conf.get("yarn.application.id",
HBaseTimelineWriterImpl.class.getName()));
}
/**
* initializes the hbase connection to write to the entity table
*/
@Override
protected void serviceInit(Configuration conf) throws Exception {
super.serviceInit(conf);
Configuration hbaseConf = HBaseConfiguration.create(conf);
conn = ConnectionFactory.createConnection(hbaseConf);
TableName entityTableName = TableName.valueOf(hbaseConf.get(
TimelineEntitySchemaConstants.ENTITY_TABLE_NAME,
TimelineEntitySchemaConstants.DEFAULT_ENTITY_TABLE_NAME));
entityTable = conn.getBufferedMutator(entityTableName);
}
/**
* Stores the entire information in TimelineEntities to the timeline store.
*/
@Override
public TimelineWriteResponse write(String clusterId, String userId,
String flowName, String flowVersion, long flowRunId, String appId,
TimelineEntities data) throws IOException {
byte[] rowKeyPrefix = TimelineWriterUtils.getRowKeyPrefix(clusterId,
userId, flowName, flowRunId, appId);
TimelineWriteResponse putStatus = new TimelineWriteResponse();
for (TimelineEntity te : data.getEntities()) {
// a set can have at most 1 null
if (te == null) {
continue;
}
// get row key
byte[] row = TimelineWriterUtils.join(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES, rowKeyPrefix,
Bytes.toBytes(te.getType()), Bytes.toBytes(te.getId()));
storeInfo(row, te, flowVersion);
storeEvents(row, te.getEvents());
storeConfig(row, te.getConfigs());
storeMetrics(row, te.getMetrics());
storeRelations(row, te.getIsRelatedToEntities(),
EntityColumnDetails.PREFIX_IS_RELATED_TO);
storeRelations(row, te.getRelatesToEntities(),
EntityColumnDetails.PREFIX_RELATES_TO);
}
return putStatus;
}
/**
* Stores the Relations from the {@linkplain TimelineEntity} object
*/
private void storeRelations(byte[] rowKey,
Map<String, Set<String>> connectedEntities,
EntityColumnDetails columnNamePrefix) throws IOException {
for (Map.Entry<String, Set<String>> entry : connectedEntities.entrySet()) {
columnNamePrefix.store(rowKey, entityTable, entry.getKey(),
entry.getValue());
}
}
/**
* Stores information from the {@linkplain TimelineEntity} object
*/
private void storeInfo(byte[] rowKey, TimelineEntity te, String flowVersion)
throws IOException {
EntityColumnDetails.ID.store(rowKey, entityTable, te.getId());
EntityColumnDetails.TYPE.store(rowKey, entityTable, te.getType());
EntityColumnDetails.CREATED_TIME.store(rowKey, entityTable,
te.getCreatedTime());
EntityColumnDetails.MODIFIED_TIME.store(rowKey, entityTable,
te.getModifiedTime());
EntityColumnDetails.FLOW_VERSION.store(rowKey, entityTable, flowVersion);
}
/**
* stores the config information from {@linkplain TimelineEntity}
*/
private void storeConfig(byte[] rowKey, Map<String, String> config)
throws IOException {
if (config == null) {
return;
}
for (Map.Entry<String, String> entry : config.entrySet()) {
EntityColumnFamily.CONFIG.store(rowKey, entityTable,
entry.getKey(), entry.getValue());
}
}
/**
* stores the {@linkplain TimelineMetric} information from the
* {@linkplain TimelineEvent} object
*/
private void storeMetrics(byte[] rowKey, Set<TimelineMetric> metrics)
throws IOException {
if (metrics != null) {
for (TimelineMetric metric : metrics) {
String key = metric.getId();
Map<Long, Number> timeseries = metric.getValues();
for (Map.Entry<Long, Number> entry : timeseries.entrySet()) {
EntityColumnFamily.METRICS.store(rowKey, entityTable, key,
entry.getKey(), entry.getValue());
}
}
}
}
/**
* Stores the events from the {@linkplain TimelineEvent} object
*/
private void storeEvents(byte[] rowKey, Set<TimelineEvent> events)
throws IOException {
if (events != null) {
for (TimelineEvent event : events) {
if (event != null) {
String id = event.getId();
if (id != null) {
byte[] idBytes = Bytes.toBytes(id);
Map<String, Object> eventInfo = event.getInfo();
if (eventInfo != null) {
for (Map.Entry<String, Object> info : eventInfo.entrySet()) {
EntityColumnDetails.PREFIX_EVENTS.store(rowKey,
entityTable, idBytes, info.getKey(), info.getValue());
}
}
}
}
}
}
}
@Override
public TimelineWriteResponse aggregate(TimelineEntity data,
TimelineAggregationTrack track) throws IOException {
return null;
}
/**
* close the hbase connections
* The close APIs perform flushing and release any
* resources held
*/
@Override
protected void serviceStop() throws Exception {
if (entityTable != null) {
LOG.info("closing entity table");
// The close API performs flushing and releases any resources held
entityTable.close();
}
if (conn != null) {
LOG.info("closing the hbase Connection");
conn.close();
}
super.serviceStop();
}
}

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@ -0,0 +1,59 @@
/**
* 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.yarn.server.timelineservice.storage;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class Range {
private final int startIdx;
private final int endIdx;
/**
* Defines a range from start index (inclusive) to end index (exclusive).
*
* @param start
* Starting index position
* @param end
* Ending index position (exclusive)
*/
public Range(int start, int end) {
if (start < 0 || end < start) {
throw new IllegalArgumentException(
"Invalid range, required that: 0 <= start <= end; start=" + start
+ ", end=" + end);
}
this.startIdx = start;
this.endIdx = end;
}
public int start() {
return startIdx;
}
public int end() {
return endIdx;
}
public int length() {
return endIdx - startIdx;
}
}

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@ -0,0 +1,71 @@
/**
* 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.yarn.server.timelineservice.storage;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.yarn.conf.YarnConfiguration;
/**
* contains the constants used in the context of schema accesses for
* {@link org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity}
* information
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class TimelineEntitySchemaConstants {
/** entity prefix */
public static final String ENTITY_PREFIX =
YarnConfiguration.TIMELINE_SERVICE_PREFIX
+ ".entity";
/** config param name that specifies the entity table name */
public static final String ENTITY_TABLE_NAME = ENTITY_PREFIX
+ ".table.name";
/**
* config param name that specifies the TTL for metrics column family in
* entity table
*/
public static final String ENTITY_TABLE_METRICS_TTL = ENTITY_PREFIX
+ ".table.metrics.ttl";
/** default value for entity table name */
public static final String DEFAULT_ENTITY_TABLE_NAME = "timelineservice.entity";
/** in bytes default value for entity table name */
static final byte[] DEFAULT_ENTITY_TABLE_NAME_BYTES = Bytes
.toBytes(DEFAULT_ENTITY_TABLE_NAME);
/** separator in row key */
public static final String ROW_KEY_SEPARATOR = "!";
/** byte representation of the separator in row key */
static final byte[] ROW_KEY_SEPARATOR_BYTES = Bytes
.toBytes(ROW_KEY_SEPARATOR);
public static final byte ZERO_BYTES = 0;
/** default TTL is 30 days for metrics timeseries */
public static final int ENTITY_TABLE_METRICS_TTL_DEFAULT = 2592000;
/** default max number of versions */
public static final int ENTITY_TABLE_METRICS_MAX_VERSIONS_DEFAULT = 1000;
}

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@ -0,0 +1,231 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Admin;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.regionserver.BloomType;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.commons.lang.StringUtils;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.commons.cli.CommandLine;
import org.apache.commons.cli.CommandLineParser;
import org.apache.commons.cli.HelpFormatter;
import org.apache.commons.cli.Option;
import org.apache.commons.cli.Options;
import org.apache.commons.cli.ParseException;
import org.apache.commons.cli.PosixParser;
import org.apache.hadoop.util.GenericOptionsParser;
/**
* This creates the schema for a hbase based backend for storing application
* timeline information.
*/
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class TimelineSchemaCreator {
final static String NAME = TimelineSchemaCreator.class.getSimpleName();
private static final Log LOG = LogFactory.getLog(TimelineSchemaCreator.class);
final static byte[][] splits = { Bytes.toBytes("a"), Bytes.toBytes("ad"),
Bytes.toBytes("an"), Bytes.toBytes("b"), Bytes.toBytes("ca"),
Bytes.toBytes("cl"), Bytes.toBytes("d"), Bytes.toBytes("e"),
Bytes.toBytes("f"), Bytes.toBytes("g"), Bytes.toBytes("h"),
Bytes.toBytes("i"), Bytes.toBytes("j"), Bytes.toBytes("k"),
Bytes.toBytes("l"), Bytes.toBytes("m"), Bytes.toBytes("n"),
Bytes.toBytes("o"), Bytes.toBytes("q"), Bytes.toBytes("r"),
Bytes.toBytes("s"), Bytes.toBytes("se"), Bytes.toBytes("t"),
Bytes.toBytes("u"), Bytes.toBytes("v"), Bytes.toBytes("w"),
Bytes.toBytes("x"), Bytes.toBytes("y"), Bytes.toBytes("z") };
public static final String SPLIT_KEY_PREFIX_LENGTH = "4";
public static void main(String[] args) throws Exception {
Configuration hbaseConf = HBaseConfiguration.create();
// Grab input args and allow for -Dxyz style arguments
String[] otherArgs = new GenericOptionsParser(hbaseConf, args)
.getRemainingArgs();
// Grab the arguments we're looking for.
CommandLine commandLine = parseArgs(otherArgs);
// Grab the entityTableName argument
String entityTableName = commandLine.getOptionValue("e");
if (StringUtils.isNotBlank(entityTableName)) {
hbaseConf.set(TimelineEntitySchemaConstants.ENTITY_TABLE_NAME,
entityTableName);
}
String entityTable_TTL_Metrics = commandLine.getOptionValue("m");
if (StringUtils.isNotBlank(entityTable_TTL_Metrics)) {
hbaseConf.set(TimelineEntitySchemaConstants.ENTITY_TABLE_METRICS_TTL,
entityTable_TTL_Metrics);
}
createAllTables(hbaseConf);
}
/**
* Parse command-line arguments.
*
* @param args
* command line arguments passed to program.
* @return parsed command line.
* @throws ParseException
*/
private static CommandLine parseArgs(String[] args) throws ParseException {
Options options = new Options();
// Input
Option o = new Option("e", "entityTableName", true, "entity table name");
o.setArgName("entityTableName");
o.setRequired(false);
options.addOption(o);
o = new Option("m", "metricsTTL", true, "TTL for metrics column family");
o.setArgName("metricsTTL");
o.setRequired(false);
options.addOption(o);
CommandLineParser parser = new PosixParser();
CommandLine commandLine = null;
try {
commandLine = parser.parse(options, args);
} catch (Exception e) {
LOG.error("ERROR: " + e.getMessage() + "\n");
HelpFormatter formatter = new HelpFormatter();
formatter.printHelp(NAME + " ", options, true);
System.exit(-1);
}
return commandLine;
}
private static void createAllTables(Configuration hbaseConf)
throws IOException {
Connection conn = null;
try {
conn = ConnectionFactory.createConnection(hbaseConf);
Admin admin = conn.getAdmin();
if (admin == null) {
throw new IOException("Cannot create table since admin is null");
}
createTimelineEntityTable(admin, hbaseConf);
} finally {
if (conn != null) {
conn.close();
}
}
}
/**
* Creates a table with column families info, config and metrics
* info stores information about a timeline entity object
* config stores configuration data of a timeline entity object
* metrics stores the metrics of a timeline entity object
*
* Example entity table record:
* <pre>
*|------------------------------------------------------------|
*| Row | Column Family | Column Family | Column Family|
*| key | info | metrics | config |
*|------------------------------------------------------------|
*| userName! | id:entityId | metricName1: | configKey1: |
*| clusterId! | | metricValue1 | configValue1 |
*| flowId! | type:entityType| @timestamp1 | |
*| flowRunId! | | | configKey2: |
*| AppId! | created_time: | metricName1: | configValue2 |
*| entityType!| 1392993084018 | metricValue2 | |
*| entityId | | @timestamp2 | |
*| | modified_time: | | |
*| | 1392995081012 | metricName2: | |
*| | | metricValue1 | |
*| | r!relatesToKey:| @timestamp2 | |
*| | id3!id4!id5 | | |
*| | | | |
*| | s!isRelatedToKey| | |
*| | id7!id9!id5 | | |
*| | | | |
*| | e!eventKey: | | |
*| | eventValue | | |
*| | | | |
*| | flowVersion: | | |
*| | versionValue | | |
*|------------------------------------------------------------|
*</pre>
* @param admin
* @param hbaseConf
* @throws IOException
*/
public static void createTimelineEntityTable(Admin admin,
Configuration hbaseConf) throws IOException {
TableName table = TableName.valueOf(hbaseConf.get(
TimelineEntitySchemaConstants.ENTITY_TABLE_NAME,
TimelineEntitySchemaConstants.DEFAULT_ENTITY_TABLE_NAME));
if (admin.tableExists(table)) {
// do not disable / delete existing table
// similar to the approach taken by map-reduce jobs when
// output directory exists
throw new IOException("Table " + table.getNameAsString()
+ " already exists.");
}
HTableDescriptor entityTableDescp = new HTableDescriptor(table);
HColumnDescriptor cf1 = new HColumnDescriptor(
EntityColumnFamily.INFO.getInBytes());
cf1.setBloomFilterType(BloomType.ROWCOL);
entityTableDescp.addFamily(cf1);
HColumnDescriptor cf2 = new HColumnDescriptor(
EntityColumnFamily.CONFIG.getInBytes());
cf2.setBloomFilterType(BloomType.ROWCOL);
cf2.setBlockCacheEnabled(true);
entityTableDescp.addFamily(cf2);
HColumnDescriptor cf3 = new HColumnDescriptor(
EntityColumnFamily.METRICS.getInBytes());
entityTableDescp.addFamily(cf3);
cf3.setBlockCacheEnabled(true);
// always keep 1 version (the latest)
cf3.setMinVersions(1);
cf3.setMaxVersions(TimelineEntitySchemaConstants.ENTITY_TABLE_METRICS_MAX_VERSIONS_DEFAULT);
cf3.setTimeToLive(hbaseConf.getInt(
TimelineEntitySchemaConstants.ENTITY_TABLE_METRICS_TTL,
TimelineEntitySchemaConstants.ENTITY_TABLE_METRICS_TTL_DEFAULT));
entityTableDescp
.setRegionSplitPolicyClassName("org.apache.hadoop.hbase.regionserver.KeyPrefixRegionSplitPolicy");
entityTableDescp.setValue("KeyPrefixRegionSplitPolicy.prefix_length",
SPLIT_KEY_PREFIX_LENGTH);
admin.createTable(entityTableDescp, splits);
LOG.info("Status of table creation for " + table.getNameAsString() + "="
+ admin.tableExists(table));
}
}

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@ -0,0 +1,344 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.client.BufferedMutator;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.yarn.server.timeline.GenericObjectMapper;
import org.apache.hadoop.yarn.server.timelineservice.storage.Range;
/**
* bunch of utility functions used across TimelineWriter classes
*/
@InterfaceAudience.Public
@InterfaceStability.Unstable
public class TimelineWriterUtils {
/** empty bytes */
public static final byte[] EMPTY_BYTES = new byte[0];
private static final String SPACE = " ";
private static final String UNDERSCORE = "_";
private static final String EMPTY_STRING = "";
/**
* Returns a single byte array containing all of the individual component
* arrays separated by the separator array.
*
* @param separator
* @param components
* @return byte array after joining the components
*/
public static byte[] join(byte[] separator, byte[]... components) {
if (components == null || components.length == 0) {
return EMPTY_BYTES;
}
int finalSize = 0;
if (separator != null) {
finalSize = separator.length * (components.length - 1);
}
for (byte[] comp : components) {
if (comp != null) {
finalSize += comp.length;
}
}
byte[] buf = new byte[finalSize];
int offset = 0;
for (int i = 0; i < components.length; i++) {
if (components[i] != null) {
System.arraycopy(components[i], 0, buf, offset, components[i].length);
offset += components[i].length;
if (i < (components.length - 1) && separator != null
&& separator.length > 0) {
System.arraycopy(separator, 0, buf, offset, separator.length);
offset += separator.length;
}
}
}
return buf;
}
/**
* Splits the source array into multiple array segments using the given
* separator, up to a maximum of count items. This will naturally produce
* copied byte arrays for each of the split segments. To identify the split
* ranges without the array copies, see
* {@link TimelineWriterUtils#splitRanges(byte[], byte[])}.
*
* @param source
* @param separator
* @return byte[] array after splitting the source
*/
public static byte[][] split(byte[] source, byte[] separator) {
return split(source, separator, -1);
}
/**
* Splits the source array into multiple array segments using the given
* separator, up to a maximum of count items. This will naturally produce
* copied byte arrays for each of the split segments. To identify the split
* ranges without the array copies, see
* {@link TimelineWriterUtils#splitRanges(byte[], byte[])}.
*
* @param source
* @param separator
* @param limit
* @return byte[][] after splitting the input source
*/
public static byte[][] split(byte[] source, byte[] separator, int limit) {
List<Range> segments = splitRanges(source, separator, limit);
byte[][] splits = new byte[segments.size()][];
for (int i = 0; i < segments.size(); i++) {
Range r = segments.get(i);
byte[] tmp = new byte[r.length()];
if (tmp.length > 0) {
System.arraycopy(source, r.start(), tmp, 0, r.length());
}
splits[i] = tmp;
}
return splits;
}
/**
* Returns a list of ranges identifying [start, end) -- closed, open --
* positions within the source byte array that would be split using the
* separator byte array.
*/
public static List<Range> splitRanges(byte[] source, byte[] separator) {
return splitRanges(source, separator, -1);
}
/**
* Returns a list of ranges identifying [start, end) -- closed, open --
* positions within the source byte array that would be split using the
* separator byte array.
* @param source the source data
* @param separator the separator pattern to look for
* @param limit the maximum number of splits to identify in the source
*/
public static List<Range> splitRanges(byte[] source, byte[] separator, int limit) {
List<Range> segments = new ArrayList<Range>();
if ((source == null) || (separator == null)) {
return segments;
}
int start = 0;
itersource: for (int i = 0; i < source.length; i++) {
for (int j = 0; j < separator.length; j++) {
if (source[i + j] != separator[j]) {
continue itersource;
}
}
// all separator elements matched
if (limit > 0 && segments.size() >= (limit-1)) {
// everything else goes in one final segment
break;
}
segments.add(new Range(start, i));
start = i + separator.length;
// i will be incremented again in outer for loop
i += separator.length-1;
}
// add in remaining to a final range
if (start <= source.length) {
segments.add(new Range(start, source.length));
}
return segments;
}
/**
* converts run id into it's inverse timestamp
* @param flowRunId
* @return inverted long
*/
public static long encodeRunId(Long flowRunId) {
return Long.MAX_VALUE - flowRunId;
}
/**
* return a value from the Map as a String
* @param key
* @param values
* @return value as a String or ""
* @throws IOException
*/
public static String getValueAsString(final byte[] key,
final Map<byte[], byte[]> values) throws IOException {
if( values == null ) {
return EMPTY_STRING;
}
byte[] value = values.get(key);
if (value != null) {
return GenericObjectMapper.read(value).toString();
} else {
return EMPTY_STRING;
}
}
/**
* return a value from the Map as a long
* @param key
* @param values
* @return value as Long or 0L
* @throws IOException
*/
public static long getValueAsLong(final byte[] key,
final Map<byte[], byte[]> values) throws IOException {
if (values == null) {
return 0;
}
byte[] value = values.get(key);
if (value != null) {
Number val = (Number) GenericObjectMapper.read(value);
return val.longValue();
} else {
return 0L;
}
}
/**
* concates the values from a Set<Strings> to return a single delimited string value
* @param rowKeySeparator
* @param values
* @return Value from the set of strings as a string
*/
public static String getValueAsString(String rowKeySeparator,
Set<String> values) {
if (values == null) {
return EMPTY_STRING;
}
StringBuilder concatStrings = new StringBuilder();
for (String value : values) {
concatStrings.append(value);
concatStrings.append(rowKeySeparator);
}
// remove the last separator
if(concatStrings.length() > 1) {
concatStrings.deleteCharAt(concatStrings.lastIndexOf(rowKeySeparator));
}
return concatStrings.toString();
}
/**
* Constructs a row key prefix for the entity table
* @param clusterId
* @param userId
* @param flowId
* @param flowRunId
* @param appId
* @return byte array with the row key prefix
*/
static byte[] getRowKeyPrefix(String clusterId, String userId, String flowId,
Long flowRunId, String appId) {
return TimelineWriterUtils.join(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES,
Bytes.toBytes(cleanse(userId)), Bytes.toBytes(cleanse(clusterId)),
Bytes.toBytes(cleanse(flowId)),
Bytes.toBytes(TimelineWriterUtils.encodeRunId(flowRunId)),
Bytes.toBytes(cleanse(appId)));
}
/**
* Takes a string token to be used as a key or qualifier and
* cleanses out reserved tokens.
* This operation is not symmetrical.
* Logic is to replace all spaces and separator chars in input with
* underscores.
*
* @param token token to cleanse.
* @return String with no spaces and no separator chars
*/
public static String cleanse(String token) {
if (token == null || token.length() == 0) {
return token;
}
String cleansed = token.replaceAll(SPACE, UNDERSCORE);
cleansed = cleansed.replaceAll(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR, UNDERSCORE);
return cleansed;
}
/**
* stores the info to the table in hbase
*
* @param rowKey
* @param table
* @param columnFamily
* @param columnPrefix
* @param columnQualifier
* @param inputValue
* @param cellTimeStamp
* @throws IOException
*/
public static void store(byte[] rowKey, BufferedMutator table, byte[] columnFamily,
byte[] columnPrefix, byte[] columnQualifier, Object inputValue,
Long cellTimeStamp) throws IOException {
if ((rowKey == null) || (table == null) || (columnFamily == null)
|| (columnQualifier == null) || (inputValue == null)) {
return;
}
Put p = null;
if (cellTimeStamp == null) {
if (columnPrefix != null) {
// store with prefix
p = new Put(rowKey);
p.addColumn(
columnFamily,
join(TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES,
columnPrefix, columnQualifier), GenericObjectMapper
.write(inputValue));
} else {
// store without prefix
p = new Put(rowKey);
p.addColumn(columnFamily, columnQualifier,
GenericObjectMapper.write(inputValue));
}
} else {
// store with cell timestamp
Cell cell = CellUtil.createCell(rowKey, columnFamily, columnQualifier,
// set the cell timestamp
cellTimeStamp,
// KeyValue Type minimum
TimelineEntitySchemaConstants.ZERO_BYTES,
GenericObjectMapper.write(inputValue));
p = new Put(rowKey);
p.add(cell);
}
if (p != null) {
table.mutate(p);
}
}
}

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@ -0,0 +1,292 @@
/**
* 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.yarn.server.timelineservice.storage;
import java.io.IOException;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.NavigableMap;
import java.util.Set;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.assertNotNull;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.Cell;
import org.apache.hadoop.hbase.CellUtil;
import org.apache.hadoop.hbase.HBaseTestingUtility;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
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.util.Bytes;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntities;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEntity;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric.Type;
import org.apache.hadoop.yarn.server.timeline.GenericObjectMapper;
import org.junit.BeforeClass;
import org.junit.AfterClass;
import org.junit.Test;
/**
* Unit test HBaseTimelineWriterImpl
* YARN 3411
*
* @throws Exception
*/
public class TestHBaseTimelineWriterImpl {
private static HBaseTestingUtility util;
@BeforeClass
public static void setupBeforeClass() throws Exception {
util = new HBaseTestingUtility();
util.startMiniCluster();
createSchema();
}
private static void createSchema() throws IOException {
byte[][] families = new byte[3][];
families[0] = EntityColumnFamily.INFO.getInBytes();
families[1] = EntityColumnFamily.CONFIG.getInBytes();
families[2] = EntityColumnFamily.METRICS.getInBytes();
TimelineSchemaCreator.createTimelineEntityTable(util.getHBaseAdmin(),
util.getConfiguration());
}
@Test
public void testWriteEntityToHBase() throws Exception {
TimelineEntities te = new TimelineEntities();
TimelineEntity entity = new TimelineEntity();
String id = "hello";
String type = "world";
entity.setId(id);
entity.setType(type);
Long cTime = 1425016501000L;
Long mTime = 1425026901000L;
entity.setCreatedTime(cTime);
entity.setModifiedTime(mTime);
// add the isRelatedToEntity info
String key = "task";
String value = "is_related_to_entity_id_here";
Set<String> isRelatedToSet = new HashSet<String>();
isRelatedToSet.add(value);
Map<String, Set<String>> isRelatedTo = new HashMap<String, Set<String>>();
isRelatedTo.put(key, isRelatedToSet);
entity.setIsRelatedToEntities(isRelatedTo);
// add the relatesTo info
key = "container";
value = "relates_to_entity_id_here";
Set<String> relatesToSet = new HashSet<String>();
relatesToSet.add(value);
value = "relates_to_entity_id_here_Second";
relatesToSet.add(value);
Map<String, Set<String>> relatesTo = new HashMap<String, Set<String>>();
relatesTo.put(key, relatesToSet);
entity.setRelatesToEntities(relatesTo);
// add some config entries
Map<String, String> conf = new HashMap<String, String>();
conf.put("config_param1", "value1");
conf.put("config_param2", "value2");
entity.addConfigs(conf);
// add metrics
Set<TimelineMetric> metrics = new HashSet<>();
TimelineMetric m1 = new TimelineMetric();
m1.setId("MAP_SLOT_MILLIS");
Map<Long, Number> metricValues = new HashMap<Long, Number>();
metricValues.put(1429741609000L, 100000000);
metricValues.put(1429742609000L, 200000000);
metricValues.put(1429743609000L, 300000000);
metricValues.put(1429744609000L, 400000000);
metricValues.put(1429745609000L, 50000000000L);
metricValues.put(1429746609000L, 60000000000L);
m1.setType(Type.TIME_SERIES);
m1.setValues(metricValues);
metrics.add(m1);
entity.addMetrics(metrics);
te.addEntity(entity);
HBaseTimelineWriterImpl hbi = null;
try {
Configuration c1 = util.getConfiguration();
hbi = new HBaseTimelineWriterImpl(c1);
hbi.init(c1);
String cluster = "cluster1";
String user = "user1";
String flow = "some_flow_name";
String flowVersion = "AB7822C10F1111";
long runid = 1002345678919L;
String appName = "some app name";
hbi.write(cluster, user, flow, flowVersion, runid, appName, te);
hbi.stop();
// scan the table and see that entity exists
Scan s = new Scan();
byte[] startRow = TimelineWriterUtils.getRowKeyPrefix(cluster, user, flow,
runid, appName);
s.setStartRow(startRow);
s.setMaxVersions(Integer.MAX_VALUE);
ResultScanner scanner = null;
TableName entityTableName = TableName
.valueOf(TimelineEntitySchemaConstants.DEFAULT_ENTITY_TABLE_NAME);
Connection conn = ConnectionFactory.createConnection(c1);
Table entityTable = conn.getTable(entityTableName);
int rowCount = 0;
int colCount = 0;
scanner = entityTable.getScanner(s);
for (Result result : scanner) {
if (result != null && !result.isEmpty()) {
rowCount++;
colCount += result.size();
byte[] row1 = result.getRow();
assertTrue(isRowKeyCorrect(row1, cluster, user, flow, runid, appName,
entity));
// check info column family
NavigableMap<byte[], byte[]> infoValues = result
.getFamilyMap(EntityColumnFamily.INFO.getInBytes());
String id1 = TimelineWriterUtils.getValueAsString(
EntityColumnDetails.ID.getInBytes(), infoValues);
assertEquals(id, id1);
String type1 = TimelineWriterUtils.getValueAsString(
EntityColumnDetails.TYPE.getInBytes(), infoValues);
assertEquals(type, type1);
Long cTime1 = TimelineWriterUtils.getValueAsLong(
EntityColumnDetails.CREATED_TIME.getInBytes(), infoValues);
assertEquals(cTime1, cTime);
Long mTime1 = TimelineWriterUtils.getValueAsLong(
EntityColumnDetails.MODIFIED_TIME.getInBytes(), infoValues);
assertEquals(mTime1, mTime);
checkRelatedEntities(isRelatedTo, infoValues,
EntityColumnDetails.PREFIX_IS_RELATED_TO.getInBytes());
checkRelatedEntities(relatesTo, infoValues,
EntityColumnDetails.PREFIX_RELATES_TO.getInBytes());
// check config column family
NavigableMap<byte[], byte[]> configValuesResult = result
.getFamilyMap(EntityColumnFamily.CONFIG.getInBytes());
checkConfigs(configValuesResult, conf);
NavigableMap<byte[], byte[]> metricsResult = result
.getFamilyMap(EntityColumnFamily.METRICS.getInBytes());
checkMetricsSizeAndKey(metricsResult, metrics);
List<Cell> metricCells = result.getColumnCells(
EntityColumnFamily.METRICS.getInBytes(),
Bytes.toBytes(m1.getId()));
checkMetricsTimeseries(metricCells, m1);
}
}
assertEquals(1, rowCount);
assertEquals(15, colCount);
} finally {
hbi.stop();
hbi.close();
}
}
private void checkMetricsTimeseries(List<Cell> metricCells,
TimelineMetric m1) throws IOException {
Map<Long, Number> timeseries = m1.getValues();
assertEquals(metricCells.size(), timeseries.size());
for (Cell c1 : metricCells) {
assertTrue(timeseries.containsKey(c1.getTimestamp()));
assertEquals(GenericObjectMapper.read(CellUtil.cloneValue(c1)),
timeseries.get(c1.getTimestamp()));
}
}
private void checkMetricsSizeAndKey(
NavigableMap<byte[], byte[]> metricsResult, Set<TimelineMetric> metrics) {
assertEquals(metrics.size(), metricsResult.size());
for (TimelineMetric m1 : metrics) {
byte[] key = Bytes.toBytes(m1.getId());
assertTrue(metricsResult.containsKey(key));
}
}
private void checkConfigs(NavigableMap<byte[], byte[]> configValuesResult,
Map<String, String> conf) throws IOException {
assertEquals(conf.size(), configValuesResult.size());
byte[] columnName;
for (String key : conf.keySet()) {
columnName = Bytes.toBytes(key);
assertTrue(configValuesResult.containsKey(columnName));
byte[] value = configValuesResult.get(columnName);
assertNotNull(value);
assertEquals(conf.get(key), GenericObjectMapper.read(value));
}
}
private void checkRelatedEntities(Map<String, Set<String>> isRelatedTo,
NavigableMap<byte[], byte[]> infoValues, byte[] columnPrefix)
throws IOException {
for (String key : isRelatedTo.keySet()) {
byte[] columnName = TimelineWriterUtils.join(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES, columnPrefix,
Bytes.toBytes(key));
byte[] value = infoValues.get(columnName);
assertNotNull(value);
String isRelatedToEntities = GenericObjectMapper.read(value).toString();
assertNotNull(isRelatedToEntities);
assertEquals(
TimelineWriterUtils.getValueAsString(
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR,
isRelatedTo.get(key)), isRelatedToEntities);
}
}
private boolean isRowKeyCorrect(byte[] rowKey, String cluster, String user,
String flow, Long runid, String appName, TimelineEntity te) {
byte[][] rowKeyComponents = TimelineWriterUtils.split(rowKey,
TimelineEntitySchemaConstants.ROW_KEY_SEPARATOR_BYTES);
assertTrue(rowKeyComponents.length == 7);
assertEquals(user, Bytes.toString(rowKeyComponents[0]));
assertEquals(cluster, Bytes.toString(rowKeyComponents[1]));
assertEquals(flow, Bytes.toString(rowKeyComponents[2]));
assertEquals(TimelineWriterUtils.encodeRunId(runid),
Bytes.toLong(rowKeyComponents[3]));
assertEquals(TimelineWriterUtils.cleanse(appName), Bytes.toString(rowKeyComponents[4]));
assertEquals(te.getType(), Bytes.toString(rowKeyComponents[5]));
assertEquals(te.getId(), Bytes.toString(rowKeyComponents[6]));
return true;
}
@AfterClass
public static void tearDownAfterClass() throws Exception {
util.shutdownMiniCluster();
}
}