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