YARN-5378. Accommodate app-id->cluster mapping (Sangjin Lee via Varun Saxena)
This commit is contained in:
Varun Saxena
parent
7f54ac48c6
commit
71847ed44d
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@ -38,7 +38,7 @@ import org.apache.hadoop.yarn.server.timelineservice.storage.application.Applica
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import org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationColumnPrefix;
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import org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationRowKey;
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import org.apache.hadoop.yarn.server.timelineservice.storage.application.ApplicationTable;
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import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowColumn;
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import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowColumnPrefix;
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import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowRowKey;
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import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowTable;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnPrefix;
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@ -172,9 +172,7 @@ public class HBaseTimelineWriterImpl extends AbstractService implements
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FlowRunRowKey flowRunRowKey =
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new FlowRunRowKey(clusterId, userId, flowName, flowRunId);
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if (event != null) {
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AppToFlowRowKey appToFlowRowKey =
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new AppToFlowRowKey(clusterId, appId);
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onApplicationCreated(flowRunRowKey, appToFlowRowKey, appId, userId,
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onApplicationCreated(flowRunRowKey, clusterId, appId, userId,
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flowVersion, te, event.getTimestamp());
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}
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// if it's an application entity, store metrics
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@ -193,18 +191,22 @@ public class HBaseTimelineWriterImpl extends AbstractService implements
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}
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private void onApplicationCreated(FlowRunRowKey flowRunRowKey,
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AppToFlowRowKey appToFlowRowKey, String appId, String userId,
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String flowVersion, TimelineEntity te, long appCreatedTimeStamp)
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String clusterId, String appId, String userId, String flowVersion,
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TimelineEntity te, long appCreatedTimeStamp)
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throws IOException {
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String flowName = flowRunRowKey.getFlowName();
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Long flowRunId = flowRunRowKey.getFlowRunId();
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// store in App to flow table
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AppToFlowRowKey appToFlowRowKey = new AppToFlowRowKey(appId);
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byte[] rowKey = appToFlowRowKey.getRowKey();
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AppToFlowColumn.FLOW_ID.store(rowKey, appToFlowTable, null, flowName);
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AppToFlowColumn.FLOW_RUN_ID.store(rowKey, appToFlowTable, null, flowRunId);
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AppToFlowColumn.USER_ID.store(rowKey, appToFlowTable, null, userId);
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AppToFlowColumnPrefix.FLOW_NAME.store(rowKey, appToFlowTable, clusterId,
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null, flowName);
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AppToFlowColumnPrefix.FLOW_RUN_ID.store(rowKey, appToFlowTable, clusterId,
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null, flowRunId);
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AppToFlowColumnPrefix.USER_ID.store(rowKey, appToFlowTable, clusterId, null,
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userId);
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// store in flow run table
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storeAppCreatedInFlowRunTable(flowRunRowKey, appId, te);
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@ -0,0 +1,206 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. 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.yarn.server.timelineservice.storage.apptoflow;
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import java.io.IOException;
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import java.util.Map;
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import java.util.NavigableMap;
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import org.apache.hadoop.hbase.client.Result;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnFamily;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnHelper;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.ColumnPrefix;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.KeyConverter;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.Separator;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.TypedBufferedMutator;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.ValueConverter;
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import org.apache.hadoop.yarn.server.timelineservice.storage.flow.Attribute;
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/**
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* Identifies partially qualified columns for the app-to-flow table.
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*/
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public enum AppToFlowColumnPrefix implements ColumnPrefix<AppToFlowTable> {
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/**
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* The flow name.
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*/
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FLOW_NAME(AppToFlowColumnFamily.MAPPING, "flow_name"),
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/**
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* The flow run ID.
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*/
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FLOW_RUN_ID(AppToFlowColumnFamily.MAPPING, "flow_run_id"),
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/**
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* The user.
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*/
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USER_ID(AppToFlowColumnFamily.MAPPING, "user_id");
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private final ColumnHelper<AppToFlowTable> column;
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private final ColumnFamily<AppToFlowTable> columnFamily;
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private final String columnPrefix;
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private final byte[] columnPrefixBytes;
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private AppToFlowColumnPrefix(ColumnFamily<AppToFlowTable> columnFamily,
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String columnPrefix) {
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this.columnFamily = columnFamily;
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this.columnPrefix = columnPrefix;
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if (columnPrefix == null) {
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this.columnPrefixBytes = null;
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} else {
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// Future-proof by ensuring the right column prefix hygiene.
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this.columnPrefixBytes =
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Bytes.toBytes(Separator.SPACE.encode(columnPrefix));
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}
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this.column = new ColumnHelper<AppToFlowTable>(columnFamily);
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}
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@Override
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public byte[] getColumnPrefixBytes(String qualifierPrefix) {
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return ColumnHelper.getColumnQualifier(
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columnPrefixBytes, qualifierPrefix);
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}
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@Override
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public byte[] getColumnPrefixBytes(byte[] qualifierPrefix) {
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return ColumnHelper.getColumnQualifier(
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columnPrefixBytes, qualifierPrefix);
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}
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@Override
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public byte[] getColumnFamilyBytes() {
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return columnFamily.getBytes();
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}
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@Override
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public void store(byte[] rowKey,
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TypedBufferedMutator<AppToFlowTable> tableMutator, byte[] qualifier,
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Long timestamp, Object inputValue, Attribute... attributes)
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throws IOException {
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// Null check
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if (qualifier == null) {
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throw new IOException("Cannot store column with null qualifier in "
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+ tableMutator.getName().getNameAsString());
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}
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byte[] columnQualifier = getColumnPrefixBytes(qualifier);
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column.store(rowKey, tableMutator, columnQualifier, timestamp, inputValue,
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attributes);
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}
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@Override
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public void store(byte[] rowKey,
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TypedBufferedMutator<AppToFlowTable> tableMutator, String qualifier,
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Long timestamp, Object inputValue, Attribute... attributes)
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throws IOException {
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// Null check
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if (qualifier == null) {
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throw new IOException("Cannot store column with null qualifier in "
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+ tableMutator.getName().getNameAsString());
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}
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byte[] columnQualifier = getColumnPrefixBytes(qualifier);
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column.store(rowKey, tableMutator, columnQualifier, timestamp, inputValue,
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attributes);
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}
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@Override
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public ValueConverter getValueConverter() {
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return column.getValueConverter();
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}
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@Override
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public Object readResult(Result result, String qualifier) throws IOException {
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byte[] columnQualifier =
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ColumnHelper.getColumnQualifier(columnPrefixBytes, qualifier);
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return column.readResult(result, columnQualifier);
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}
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@Override
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public <K> Map<K, Object> readResults(Result result,
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KeyConverter<K> keyConverter)
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throws IOException {
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return column.readResults(result, columnPrefixBytes, keyConverter);
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}
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@Override
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public <K, V> NavigableMap<K, NavigableMap<Long, V>>
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readResultsWithTimestamps(Result result,
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KeyConverter<K> keyConverter) throws IOException {
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return column.readResultsWithTimestamps(result, columnPrefixBytes,
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keyConverter);
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}
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/**
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* Retrieve an {@link AppToFlowColumnPrefix} given a name, or null if there
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* is no match. The following holds true: {@code columnFor(x) == columnFor(y)}
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* if and only if {@code x.equals(y)} or {@code (x == y == null)}
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*
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* @param columnPrefix Name of the column to retrieve
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* @return the corresponding {@link AppToFlowColumnPrefix} or null
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*/
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public static final AppToFlowColumnPrefix columnFor(String columnPrefix) {
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// Match column based on value, assume column family matches.
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for (AppToFlowColumnPrefix afcp : AppToFlowColumnPrefix.values()) {
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// Find a match based only on name.
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if (afcp.columnPrefix.equals(columnPrefix)) {
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return afcp;
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}
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}
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// Default to null
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return null;
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}
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/**
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* Retrieve an {@link AppToFlowColumnPrefix} given a name, or null if there
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* is no match. The following holds true:
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* {@code columnFor(a,x) == columnFor(b,y)} if and only if
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* {@code (x == y == null)} or {@code a.equals(b) & x.equals(y)}
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*
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* @param columnFamily The columnFamily for which to retrieve the column.
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* @param columnPrefix Name of the column to retrieve
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* @return the corresponding {@link AppToFlowColumnPrefix} or null if both
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* arguments don't match.
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*/
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public static final AppToFlowColumnPrefix columnFor(
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AppToFlowColumnFamily columnFamily, String columnPrefix) {
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// TODO: needs unit test to confirm and need to update javadoc to explain
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// null prefix case.
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for (AppToFlowColumnPrefix afcp : AppToFlowColumnPrefix.values()) {
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// Find a match based column family and on name.
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if (afcp.columnFamily.equals(columnFamily)
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&& (((columnPrefix == null) && (afcp.columnPrefix == null)) ||
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(afcp.columnPrefix.equals(columnPrefix)))) {
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return afcp;
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}
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}
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// Default to null
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return null;
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}
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}
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@ -17,41 +17,32 @@
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*/
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package org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow;
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import org.apache.hadoop.hbase.util.Bytes;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.AppIdKeyConverter;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.KeyConverter;
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import org.apache.hadoop.yarn.server.timelineservice.storage.common.Separator;
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/**
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* Represents a rowkey for the app_flow table.
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* Represents a row key for the app_flow table, which is the app id.
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*/
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public class AppToFlowRowKey {
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private final String clusterId;
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private final String appId;
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private final KeyConverter<AppToFlowRowKey> appToFlowRowKeyConverter =
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new AppToFlowRowKeyConverter();
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private final KeyConverter<String> appIdKeyConverter =
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new AppIdKeyConverter();
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public AppToFlowRowKey(String clusterId, String appId) {
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this.clusterId = clusterId;
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public AppToFlowRowKey(String appId) {
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this.appId = appId;
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}
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public String getClusterId() {
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return clusterId;
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}
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public String getAppId() {
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return appId;
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}
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/**
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* Constructs a row key prefix for the app_flow table as follows:
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* {@code clusterId!AppId}.
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* Constructs a row key prefix for the app_flow table.
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*
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* @return byte array with the row key
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*/
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public byte[] getRowKey() {
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return appToFlowRowKeyConverter.encode(this);
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return appIdKeyConverter.encode(appId);
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}
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/**
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@ -61,83 +52,7 @@ public class AppToFlowRowKey {
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* @return an <cite>AppToFlowRowKey</cite> object.
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*/
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public static AppToFlowRowKey parseRowKey(byte[] rowKey) {
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return new AppToFlowRowKeyConverter().decode(rowKey);
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}
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/**
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* Encodes and decodes row key for app_flow table. The row key is of the form
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* clusterId!appId. clusterId is a string and appId is encoded/decoded using
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* {@link AppIdKeyConverter}.
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* <p>
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*/
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final private static class AppToFlowRowKeyConverter implements
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KeyConverter<AppToFlowRowKey> {
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private final KeyConverter<String> appIDKeyConverter =
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new AppIdKeyConverter();
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/**
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* Intended for use in AppToFlowRowKey only.
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*/
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private AppToFlowRowKeyConverter() {
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}
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/**
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* App to flow row key is of the form clusterId!appId with the 2 segments
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* separated by !. The sizes below indicate sizes of both of these segments
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* in sequence. clusterId is a string. appId is represented as 12 bytes w.
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* cluster Timestamp part of appid taking 8 bytes(long) and seq id taking 4
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* bytes(int). Strings are variable in size (i.e. end whenever separator is
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* encountered). This is used while decoding and helps in determining where
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* to split.
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*/
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private static final int[] SEGMENT_SIZES = {Separator.VARIABLE_SIZE,
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Bytes.SIZEOF_LONG + Bytes.SIZEOF_INT };
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/*
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* (non-Javadoc)
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*
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* Encodes AppToFlowRowKey object into a byte array with each
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* component/field in AppToFlowRowKey separated by Separator#QUALIFIERS.
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* This leads to an app to flow table row key of the form clusterId!appId
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*
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* @see
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* org.apache.hadoop.yarn.server.timelineservice.storage.common
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* .KeyConverter#encode(java.lang.Object)
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*/
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@Override
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public byte[] encode(AppToFlowRowKey rowKey) {
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byte[] first =
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Separator.encode(rowKey.getClusterId(), Separator.SPACE,
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Separator.TAB, Separator.QUALIFIERS);
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byte[] second = appIDKeyConverter.encode(rowKey.getAppId());
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return Separator.QUALIFIERS.join(first, second);
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}
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/*
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* (non-Javadoc)
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*
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* Decodes an app to flow row key of the form clusterId!appId represented
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* in byte format and converts it into an AppToFlowRowKey object.
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*
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* @see
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* org.apache.hadoop.yarn.server.timelineservice.storage.common
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* .KeyConverter#decode(byte[])
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*/
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@Override
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public AppToFlowRowKey decode(byte[] rowKey) {
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byte[][] rowKeyComponents =
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Separator.QUALIFIERS.split(rowKey, SEGMENT_SIZES);
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if (rowKeyComponents.length != 2) {
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throw new IllegalArgumentException("the row key is not valid for "
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+ "the app-to-flow table");
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}
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String clusterId =
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Separator.decode(Bytes.toString(rowKeyComponents[0]),
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Separator.QUALIFIERS, Separator.TAB, Separator.SPACE);
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String appId = appIDKeyConverter.decode(rowKeyComponents[1]);
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return new AppToFlowRowKey(clusterId, appId);
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}
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String appId = new AppIdKeyConverter().decode(rowKey);
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return new AppToFlowRowKey(appId);
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}
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}
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@ -41,21 +41,32 @@ import java.io.IOException;
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* <pre>
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* |--------------------------------------|
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* | Row | Column Family |
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* | key | info |
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* | key | mapping |
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* |--------------------------------------|
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* | clusterId! | flowName: |
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* | AppId | foo@daily_hive_report |
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* | appId | flow_name!cluster1: |
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* | | foo@daily_hive_report |
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* | | |
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* | | flowRunId: |
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* | | flow_run_id!cluster1: |
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* | | 1452828720457 |
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* | | |
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* | | user_id: |
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* | | user_id!cluster1: |
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* | | admin |
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* | | |
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* | | flow_name!cluster2: |
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* | | bar@ad_hoc_query |
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* | | |
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* | | flow_run_id!cluster2: |
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* | | 1452828498752 |
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* | | |
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* | | user_id!cluster2: |
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* | | joe |
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* | | |
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* |--------------------------------------|
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* </pre>
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*
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* It is possible (although unlikely) in a multi-cluster environment that there
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* may be more than one applications for a given app id. Different clusters are
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* recorded as different sets of columns.
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*/
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public class AppToFlowTable extends BaseTable<AppToFlowTable> {
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/** app_flow prefix. */
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@ -318,8 +318,9 @@ public class ColumnHelper<T> {
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/**
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* @param columnPrefixBytes The byte representation for the column prefix.
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* Should not contain {@link Separator#QUALIFIERS}.
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* @param qualifier for the remainder of the column. Any
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* {@link Separator#QUALIFIERS} will be encoded in the qualifier.
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* @param qualifier for the remainder of the column.
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* {@link Separator#QUALIFIERS} is permissible in the qualifier
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* as it is joined only with the column prefix bytes.
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* @return fully sanitized column qualifier that is a combination of prefix
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* and qualifier. If prefix is null, the result is simply the encoded
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* qualifier without any separator.
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|
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@ -17,18 +17,18 @@
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*/
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package org.apache.hadoop.yarn.server.timelineservice.storage.reader;
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import java.io.IOException;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.hbase.client.Connection;
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import org.apache.hadoop.hbase.client.Get;
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import org.apache.hadoop.hbase.client.Result;
|
||||
import org.apache.hadoop.yarn.server.timelineservice.reader.TimelineReaderContext;
|
||||
import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowColumn;
|
||||
import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowColumnPrefix;
|
||||
import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowRowKey;
|
||||
import org.apache.hadoop.yarn.server.timelineservice.storage.apptoflow.AppToFlowTable;
|
||||
import org.apache.hadoop.yarn.webapp.NotFoundException;
|
||||
|
||||
import java.io.IOException;
|
||||
|
||||
/**
|
||||
* The base class for reading timeline data from the HBase storage. This class
|
||||
* provides basic support to validate and augment reader context.
|
||||
|
|
@ -53,26 +53,38 @@ public abstract class AbstractTimelineStorageReader {
|
|||
* Looks up flow context from AppToFlow table.
|
||||
*
|
||||
* @param appToFlowRowKey to identify Cluster and App Ids.
|
||||
* @param clusterId the cluster id.
|
||||
* @param hbaseConf HBase configuration.
|
||||
* @param conn HBase Connection.
|
||||
* @return flow context information.
|
||||
* @throws IOException if any problem occurs while fetching flow information.
|
||||
*/
|
||||
protected FlowContext lookupFlowContext(AppToFlowRowKey appToFlowRowKey,
|
||||
Configuration hbaseConf, Connection conn) throws IOException {
|
||||
String clusterId, Configuration hbaseConf, Connection conn)
|
||||
throws IOException {
|
||||
byte[] rowKey = appToFlowRowKey.getRowKey();
|
||||
Get get = new Get(rowKey);
|
||||
Result result = appToFlowTable.getResult(hbaseConf, conn, get);
|
||||
if (result != null && !result.isEmpty()) {
|
||||
return new FlowContext(AppToFlowColumn.USER_ID.readResult(result)
|
||||
.toString(), AppToFlowColumn.FLOW_ID.readResult(result).toString(),
|
||||
((Number) AppToFlowColumn.FLOW_RUN_ID.readResult(result))
|
||||
.longValue());
|
||||
Object flowName =
|
||||
AppToFlowColumnPrefix.FLOW_NAME.readResult(result, clusterId);
|
||||
Object flowRunId =
|
||||
AppToFlowColumnPrefix.FLOW_RUN_ID.readResult(result, clusterId);
|
||||
Object userId =
|
||||
AppToFlowColumnPrefix.USER_ID.readResult(result, clusterId);
|
||||
if (flowName == null || userId == null || flowRunId == null) {
|
||||
throw new NotFoundException(
|
||||
"Unable to find the context flow name, and flow run id, "
|
||||
+ "and user id for clusterId=" + clusterId
|
||||
+ ", appId=" + appToFlowRowKey.getAppId());
|
||||
}
|
||||
return new FlowContext((String)userId, (String)flowName,
|
||||
((Number)flowRunId).longValue());
|
||||
} else {
|
||||
throw new NotFoundException(
|
||||
"Unable to find the context flow ID and flow run ID for clusterId="
|
||||
+ appToFlowRowKey.getClusterId() + ", appId="
|
||||
+ appToFlowRowKey.getAppId());
|
||||
"Unable to find the context flow name, and flow run id, "
|
||||
+ "and user id for clusterId=" + clusterId
|
||||
+ ", appId=" + appToFlowRowKey.getAppId());
|
||||
}
|
||||
}
|
||||
|
||||
|
|
@ -102,9 +114,10 @@ public abstract class AbstractTimelineStorageReader {
|
|||
|| context.getUserId() == null) {
|
||||
// Get flow context information from AppToFlow table.
|
||||
AppToFlowRowKey appToFlowRowKey =
|
||||
new AppToFlowRowKey(context.getClusterId(), context.getAppId());
|
||||
new AppToFlowRowKey(context.getAppId());
|
||||
FlowContext flowContext =
|
||||
lookupFlowContext(appToFlowRowKey, hbaseConf, conn);
|
||||
lookupFlowContext(appToFlowRowKey, context.getClusterId(), hbaseConf,
|
||||
conn);
|
||||
context.setFlowName(flowContext.flowName);
|
||||
context.setFlowRunId(flowContext.flowRunId);
|
||||
context.setUserId(flowContext.userId);
|
||||
|
|
|
|||
|
|
@ -127,10 +127,8 @@ public class TestRowKeys {
|
|||
*/
|
||||
@Test
|
||||
public void testAppToFlowRowKey() {
|
||||
byte[] byteRowKey = new AppToFlowRowKey(CLUSTER,
|
||||
APPLICATION_ID).getRowKey();
|
||||
byte[] byteRowKey = new AppToFlowRowKey(APPLICATION_ID).getRowKey();
|
||||
AppToFlowRowKey rowKey = AppToFlowRowKey.parseRowKey(byteRowKey);
|
||||
assertEquals(CLUSTER, rowKey.getClusterId());
|
||||
assertEquals(APPLICATION_ID, rowKey.getAppId());
|
||||
}
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue