Merge branch 'master' into spatial

This commit is contained in:
fjy 2013-05-14 16:10:18 -07:00
commit 5af188f18d
59 changed files with 1896 additions and 224 deletions

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -24,6 +24,7 @@ import com.google.common.collect.Maps;
import com.google.common.collect.Ordering;
import com.metamx.common.logger.Logger;
import com.metamx.druid.VersionedIntervalTimeline;
import com.metamx.druid.client.selector.QueryableDruidServer;
import com.metamx.druid.client.selector.ServerSelector;
import com.metamx.druid.partition.PartitionChunk;
import com.metamx.druid.query.QueryRunner;
@ -44,7 +45,7 @@ public class BrokerServerView implements TimelineServerView
private final Object lock = new Object();
private final ConcurrentMap<DruidServer, DirectDruidClient> clients;
private final ConcurrentMap<String, QueryableDruidServer> clients;
private final Map<String, ServerSelector> selectors;
private final Map<String, VersionedIntervalTimeline<String, ServerSelector>> timelines;
@ -107,7 +108,7 @@ public class BrokerServerView implements TimelineServerView
public void clear()
{
synchronized (lock) {
final Iterator<DruidServer> clientsIter = clients.keySet().iterator();
final Iterator<String> clientsIter = clients.keySet().iterator();
while (clientsIter.hasNext()) {
clientsIter.remove();
}
@ -119,7 +120,7 @@ public class BrokerServerView implements TimelineServerView
final ServerSelector selector = selectorsIter.next();
selectorsIter.remove();
while (!selector.isEmpty()) {
final DruidServer pick = selector.pick();
final QueryableDruidServer pick = selector.pick();
selector.removeServer(pick);
}
}
@ -128,7 +129,10 @@ public class BrokerServerView implements TimelineServerView
private void addServer(DruidServer server)
{
QueryRunner exists = clients.put(server, makeDirectClient(server));
QueryableDruidServer exists = clients.put(
server.getName(),
new QueryableDruidServer(server, makeDirectClient(server))
);
if (exists != null) {
log.warn("QueryRunner for server[%s] already existed!?", server);
}
@ -141,7 +145,7 @@ public class BrokerServerView implements TimelineServerView
private void removeServer(DruidServer server)
{
clients.remove(server);
clients.remove(server.getName());
for (DataSegment segment : server.getSegments().values()) {
serverRemovedSegment(server, segment);
}
@ -167,10 +171,10 @@ public class BrokerServerView implements TimelineServerView
selectors.put(segmentId, selector);
}
if (!clients.containsKey(server)) {
if (!clients.containsKey(server.getName())) {
addServer(server);
}
selector.addServer(server);
selector.addServer(clients.get(server.getName()));
}
}
@ -188,7 +192,8 @@ public class BrokerServerView implements TimelineServerView
return;
}
if (!selector.removeServer(server)) {
QueryableDruidServer queryableDruidServer = clients.get(server.getName());
if (!selector.removeServer(queryableDruidServer)) {
log.warn(
"Asked to disassociate non-existant association between server[%s] and segment[%s]",
server,
@ -228,7 +233,11 @@ public class BrokerServerView implements TimelineServerView
public <T> QueryRunner<T> getQueryRunner(DruidServer server)
{
synchronized (lock) {
return clients.get(server);
QueryableDruidServer queryableDruidServer = clients.get(server.getName());
if (queryableDruidServer == null) {
log.error("WTF?! No QueryableDruidServer found for %s", server.getName());
}
return queryableDruidServer.getClient();
}
}

View File

@ -203,7 +203,7 @@ public class CachingClusteredClient<T> implements QueryRunner<T>
// Compile list of all segments not pulled from cache
for(Pair<ServerSelector, SegmentDescriptor> segment : segments) {
final DruidServer server = segment.lhs.pick();
final DruidServer server = segment.lhs.pick().getServer();
List<SegmentDescriptor> descriptors = serverSegments.get(server);
if (descriptors == null) {

View File

@ -47,7 +47,6 @@ import com.metamx.http.client.HttpClient;
import com.metamx.http.client.io.AppendableByteArrayInputStream;
import com.metamx.http.client.response.ClientResponse;
import com.metamx.http.client.response.InputStreamResponseHandler;
import org.jboss.netty.handler.codec.http.HttpChunk;
import org.jboss.netty.handler.codec.http.HttpHeaders;
import org.jboss.netty.handler.codec.http.HttpResponse;
@ -60,6 +59,7 @@ import java.util.Iterator;
import java.util.Map;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Future;
import java.util.concurrent.atomic.AtomicInteger;
/**
*/
@ -74,6 +74,7 @@ public class DirectDruidClient<T> implements QueryRunner<T>
private final HttpClient httpClient;
private final String host;
private final AtomicInteger openConnections;
private final boolean isSmile;
public DirectDruidClient(
@ -88,7 +89,13 @@ public class DirectDruidClient<T> implements QueryRunner<T>
this.httpClient = httpClient;
this.host = host;
isSmile = this.objectMapper.getJsonFactory() instanceof SmileFactory;
this.isSmile = this.objectMapper.getJsonFactory() instanceof SmileFactory;
this.openConnections = new AtomicInteger();
}
public int getNumOpenConnections()
{
return openConnections.get();
}
@Override
@ -121,6 +128,7 @@ public class DirectDruidClient<T> implements QueryRunner<T>
try {
log.debug("Querying url[%s]", url);
openConnections.getAndIncrement();
future = httpClient
.post(new URL(url))
.setContent(objectMapper.writeValueAsBytes(query))
@ -128,7 +136,6 @@ public class DirectDruidClient<T> implements QueryRunner<T>
.go(
new InputStreamResponseHandler()
{
long startTime;
long byteCount = 0;
@ -162,6 +169,7 @@ public class DirectDruidClient<T> implements QueryRunner<T>
stopTime - startTime,
byteCount / (0.0001 * (stopTime - startTime))
);
openConnections.getAndDecrement();
return super.done(clientResponse);
}
}

View File

@ -135,7 +135,7 @@ public class ServerInventoryView implements ServerView, InventoryView
@Override
public void deadContainer(DruidServer deadContainer)
{
log.info("Server Disdappeared[%s]", deadContainer);
log.info("Server Disappeared[%s]", deadContainer);
runServerCallbacks(deadContainer);
}

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@ -0,0 +1,47 @@
/*
* Druid - a distributed column store.
* Copyright (C) 2012 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package com.metamx.druid.client.selector;
import com.metamx.druid.client.DirectDruidClient;
import com.metamx.druid.client.DruidServer;
/**
*/
public class QueryableDruidServer
{
private final DruidServer server;
private final DirectDruidClient client;
public QueryableDruidServer(DruidServer server, DirectDruidClient client)
{
this.server = server;
this.client = client;
}
public DruidServer getServer()
{
return server;
}
public DirectDruidClient getClient()
{
return client;
}
}

View File

@ -19,21 +19,30 @@
package com.metamx.druid.client.selector;
import com.google.common.collect.Iterables;
import com.google.common.collect.Sets;
import com.google.common.primitives.Ints;
import com.metamx.druid.client.DataSegment;
import com.metamx.druid.client.DruidServer;
import java.util.LinkedHashSet;
import java.util.Random;
import java.util.Collections;
import java.util.Comparator;
import java.util.Set;
/**
*/
public class ServerSelector
{
private static final Random random = new Random();
private static final Comparator<QueryableDruidServer> comparator = new Comparator<QueryableDruidServer>()
{
@Override
public int compare(QueryableDruidServer left, QueryableDruidServer right)
{
return Ints.compare(left.getClient().getNumOpenConnections(), right.getClient().getNumOpenConnections());
}
};
private final Set<QueryableDruidServer> servers = Sets.newHashSet();
private final LinkedHashSet<DruidServer> servers = Sets.newLinkedHashSet();
private final DataSegment segment;
public ServerSelector(
@ -49,7 +58,7 @@ public class ServerSelector
}
public void addServer(
DruidServer server
QueryableDruidServer server
)
{
synchronized (this) {
@ -57,7 +66,7 @@ public class ServerSelector
}
}
public boolean removeServer(DruidServer server)
public boolean removeServer(QueryableDruidServer server)
{
synchronized (this) {
return servers.remove(server);
@ -71,15 +80,10 @@ public class ServerSelector
}
}
public DruidServer pick()
public QueryableDruidServer pick()
{
synchronized (this) {
final int size = servers.size();
switch (size) {
case 0: return null;
case 1: return servers.iterator().next();
default: return Iterables.get(servers, random.nextInt(size));
}
return Collections.min(servers, comparator);
}
}
}

View File

@ -22,11 +22,14 @@ package com.metamx.druid.query.group;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.base.Function;
import com.google.common.base.Functions;
import com.google.common.base.Preconditions;
import com.google.common.base.Predicate;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Lists;
import com.metamx.common.ISE;
import com.metamx.common.guava.Sequence;
import com.metamx.common.guava.Sequences;
import com.metamx.druid.BaseQuery;
import com.metamx.druid.Query;
import com.metamx.druid.QueryGranularity;
@ -37,13 +40,15 @@ import com.metamx.druid.query.Queries;
import com.metamx.druid.query.dimension.DefaultDimensionSpec;
import com.metamx.druid.query.dimension.DimensionSpec;
import com.metamx.druid.query.filter.DimFilter;
import com.metamx.druid.query.group.limit.DefaultLimitSpec;
import com.metamx.druid.query.group.limit.LimitSpec;
import com.metamx.druid.query.group.limit.NoopLimitSpec;
import com.metamx.druid.query.group.limit.OrderByColumnSpec;
import com.metamx.druid.query.group.having.HavingSpec;
import com.metamx.druid.query.group.orderby.DefaultLimitSpec;
import com.metamx.druid.query.group.orderby.LimitSpec;
import com.metamx.druid.query.group.orderby.NoopLimitSpec;
import com.metamx.druid.query.group.orderby.OrderByColumnSpec;
import com.metamx.druid.query.segment.LegacySegmentSpec;
import com.metamx.druid.query.segment.QuerySegmentSpec;
import javax.annotation.Nullable;
import java.util.List;
import java.util.Map;
@ -57,6 +62,7 @@ public class GroupByQuery extends BaseQuery<Row>
}
private final LimitSpec limitSpec;
private final HavingSpec havingSpec;
private final DimFilter dimFilter;
private final QueryGranularity granularity;
private final List<DimensionSpec> dimensions;
@ -69,34 +75,88 @@ public class GroupByQuery extends BaseQuery<Row>
public GroupByQuery(
@JsonProperty("dataSource") String dataSource,
@JsonProperty("intervals") QuerySegmentSpec querySegmentSpec,
@JsonProperty("limitSpec") LimitSpec limitSpec,
@JsonProperty("filter") DimFilter dimFilter,
@JsonProperty("granularity") QueryGranularity granularity,
@JsonProperty("dimensions") List<DimensionSpec> dimensions,
@JsonProperty("aggregations") List<AggregatorFactory> aggregatorSpecs,
@JsonProperty("postAggregations") List<PostAggregator> postAggregatorSpecs,
@JsonProperty("having") HavingSpec havingSpec,
@JsonProperty("limitSpec") LimitSpec limitSpec,
@JsonProperty("orderBy") LimitSpec orderBySpec,
@JsonProperty("context") Map<String, String> context
)
{
super(dataSource, querySegmentSpec, context);
this.limitSpec = (limitSpec == null) ? new NoopLimitSpec() : limitSpec;
this.dimFilter = dimFilter;
this.granularity = granularity;
this.dimensions = dimensions == null ? ImmutableList.<DimensionSpec>of() : dimensions;
this.aggregatorSpecs = aggregatorSpecs;
this.postAggregatorSpecs = postAggregatorSpecs == null ? ImmutableList.<PostAggregator>of() : postAggregatorSpecs;
this.havingSpec = havingSpec;
this.limitSpec = (limitSpec == null) ? (orderBySpec == null ? new NoopLimitSpec() : orderBySpec) : limitSpec;
Preconditions.checkNotNull(this.granularity, "Must specify a granularity");
Preconditions.checkNotNull(this.aggregatorSpecs, "Must specify at least one aggregator");
Queries.verifyAggregations(this.aggregatorSpecs, this.postAggregatorSpecs);
orderByLimitFn = this.limitSpec.build(this.dimensions, this.aggregatorSpecs, this.postAggregatorSpecs);
Function<Sequence<Row>, Sequence<Row>> postProcFn =
this.limitSpec.build(this.dimensions, this.aggregatorSpecs, this.postAggregatorSpecs);
if (havingSpec != null) {
postProcFn = Functions.compose(
new Function<Sequence<Row>, Sequence<Row>>()
{
@Override
public Sequence<Row> apply(@Nullable Sequence<Row> input)
{
return Sequences.filter(
input,
new Predicate<Row>()
{
@Override
public boolean apply(@Nullable Row input)
{
return GroupByQuery.this.havingSpec.eval(input);
}
}
);
}
},
postProcFn
);
}
orderByLimitFn = postProcFn;
}
@JsonProperty
public LimitSpec getLimitSpec()
/**
* A private constructor that avoids all of the various state checks. Used by the with*() methods where the checks
* have already passed in order for the object to exist.
*/
private GroupByQuery(
String dataSource,
QuerySegmentSpec querySegmentSpec,
DimFilter dimFilter,
QueryGranularity granularity,
List<DimensionSpec> dimensions,
List<AggregatorFactory> aggregatorSpecs,
List<PostAggregator> postAggregatorSpecs,
HavingSpec havingSpec,
LimitSpec orderBySpec,
Function<Sequence<Row>, Sequence<Row>> orderByLimitFn,
Map<String, String> context
)
{
return limitSpec;
super(dataSource, querySegmentSpec, context);
this.dimFilter = dimFilter;
this.granularity = granularity;
this.dimensions = dimensions;
this.aggregatorSpecs = aggregatorSpecs;
this.postAggregatorSpecs = postAggregatorSpecs;
this.havingSpec = havingSpec;
this.limitSpec = orderBySpec;
this.orderByLimitFn = orderByLimitFn;
}
@JsonProperty("filter")
@ -129,6 +189,18 @@ public class GroupByQuery extends BaseQuery<Row>
return postAggregatorSpecs;
}
@JsonProperty("having")
public HavingSpec getHavingSpec()
{
return havingSpec;
}
@JsonProperty
public LimitSpec getOrderBy()
{
return limitSpec;
}
@Override
public boolean hasFilters()
{
@ -152,12 +224,14 @@ public class GroupByQuery extends BaseQuery<Row>
return new GroupByQuery(
getDataSource(),
getQuerySegmentSpec(),
limitSpec,
dimFilter,
granularity,
dimensions,
aggregatorSpecs,
postAggregatorSpecs,
havingSpec,
limitSpec,
orderByLimitFn,
computeOverridenContext(contextOverride)
);
}
@ -168,12 +242,14 @@ public class GroupByQuery extends BaseQuery<Row>
return new GroupByQuery(
getDataSource(),
spec,
limitSpec,
dimFilter,
granularity,
dimensions,
aggregatorSpecs,
postAggregatorSpecs,
havingSpec,
limitSpec,
orderByLimitFn,
getContext()
);
}
@ -187,6 +263,8 @@ public class GroupByQuery extends BaseQuery<Row>
private List<DimensionSpec> dimensions;
private List<AggregatorFactory> aggregatorSpecs;
private List<PostAggregator> postAggregatorSpecs;
private HavingSpec havingSpec;
private Map<String, String> context;
private LimitSpec limitSpec = null;
@ -205,6 +283,9 @@ public class GroupByQuery extends BaseQuery<Row>
dimensions = builder.dimensions;
aggregatorSpecs = builder.aggregatorSpecs;
postAggregatorSpecs = builder.postAggregatorSpecs;
havingSpec = builder.havingSpec;
limit = builder.limit;
context = builder.context;
}
@ -264,7 +345,7 @@ public class GroupByQuery extends BaseQuery<Row>
private void ensureFluentLimitsNotSet()
{
if (! (limit == Integer.MAX_VALUE && orderByColumnSpecs.isEmpty()) ) {
if (!(limit == Integer.MAX_VALUE && orderByColumnSpecs.isEmpty())) {
throw new ISE("Ambiguous build, limit[%s] or columnSpecs[%s] already set.", limit, orderByColumnSpecs);
}
}
@ -351,6 +432,20 @@ public class GroupByQuery extends BaseQuery<Row>
return this;
}
public Builder setHavingSpec(HavingSpec havingSpec)
{
this.havingSpec = havingSpec;
return this;
}
public Builder setLimit(Integer limit)
{
this.limit = limit;
return this;
}
public Builder copy()
{
return new Builder(this);
@ -361,20 +456,21 @@ public class GroupByQuery extends BaseQuery<Row>
final LimitSpec theLimitSpec;
if (limitSpec == null) {
theLimitSpec = new DefaultLimitSpec(orderByColumnSpecs, limit);
}
else {
} else {
theLimitSpec = limitSpec;
}
return new GroupByQuery(
dataSource,
querySegmentSpec,
theLimitSpec,
dimFilter,
granularity,
dimensions,
aggregatorSpecs,
postAggregatorSpecs,
havingSpec,
null,
theLimitSpec,
context
);
}

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@ -0,0 +1,14 @@
package com.metamx.druid.query.group.having;
import com.metamx.druid.input.Row;
/**
*/
public class AlwaysHavingSpec implements HavingSpec
{
@Override
public boolean eval(Row row)
{
return true;
}
}

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@ -0,0 +1,75 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.collect.ImmutableList;
import com.metamx.druid.input.Row;
import java.util.List;
/**
* The logical "and" operator for the "having" clause.
*/
public class AndHavingSpec implements HavingSpec
{
private List<HavingSpec> havingSpecs;
@JsonCreator
public AndHavingSpec(@JsonProperty("havingSpecs") List<HavingSpec> havingSpecs)
{
this.havingSpecs = havingSpecs == null ? ImmutableList.<HavingSpec>of() : havingSpecs;
}
@JsonProperty("havingSpecs")
public List<HavingSpec> getHavingSpecs()
{
return havingSpecs;
}
@Override
public boolean eval(Row row)
{
for (HavingSpec havingSpec : havingSpecs) {
if (!havingSpec.eval(row)) {
return false;
}
}
return true;
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
AndHavingSpec that = (AndHavingSpec) o;
if (havingSpecs != null ? !havingSpecs.equals(that.havingSpecs) : that.havingSpecs != null) {
return false;
}
return true;
}
@Override
public int hashCode()
{
return havingSpecs != null ? havingSpecs.hashCode() : 0;
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("AndHavingSpec");
sb.append("{havingSpecs=").append(havingSpecs);
sb.append('}');
return sb.toString();
}
}

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@ -0,0 +1,94 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.metamx.druid.input.Row;
/**
* The "=" operator in a "having" clause. This is similar to SQL's "having aggregation = value",
* except that in SQL an aggregation is an expression instead of an aggregation name as in Druid.
*/
public class EqualToHavingSpec implements HavingSpec
{
private String aggregationName;
private Number value;
@JsonCreator
public EqualToHavingSpec(
@JsonProperty("aggregation") String aggName,
@JsonProperty("value") Number value
)
{
this.aggregationName = aggName;
this.value = value;
}
@JsonProperty("value")
public Number getValue()
{
return value;
}
@JsonProperty("aggregation")
public String getAggregationName()
{
return aggregationName;
}
@Override
public boolean eval(Row row)
{
float metricValue = row.getFloatMetric(aggregationName);
return Float.compare(value.floatValue(), metricValue) == 0;
}
/**
* This method treats internal value as double mainly for ease of test.
*/
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
EqualToHavingSpec that = (EqualToHavingSpec) o;
if (aggregationName != null ? !aggregationName.equals(that.aggregationName) : that.aggregationName != null) {
return false;
}
if (value != null && that.value != null) {
return Double.compare(value.doubleValue(), that.value.doubleValue()) == 0;
}
if (value == null && that.value == null) {
return true;
}
return false;
}
@Override
public int hashCode()
{
int result = aggregationName != null ? aggregationName.hashCode() : 0;
result = 31 * result + (value != null ? value.hashCode() : 0);
return result;
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("EqualToHavingSpec");
sb.append("{aggregationName='").append(aggregationName).append('\'');
sb.append(", value=").append(value);
sb.append('}');
return sb.toString();
}
}

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@ -0,0 +1,90 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.metamx.druid.input.Row;
/**
* The ">" operator in a "having" clause. This is similar to SQL's "having aggregation > value",
* except that an aggregation in SQL is an expression instead of an aggregation name as in Druid.
*/
public class GreaterThanHavingSpec implements HavingSpec
{
private String aggregationName;
private Number value;
@JsonCreator
public GreaterThanHavingSpec(
@JsonProperty("aggregation") String aggName,
@JsonProperty("value") Number value
)
{
this.aggregationName = aggName;
this.value = value;
}
@JsonProperty("aggregation")
public String getAggregationName()
{
return aggregationName;
}
@JsonProperty("value")
public Number getValue()
{
return value;
}
@Override
public boolean eval(Row row)
{
float metricValue = row.getFloatMetric(aggregationName);
return Float.compare(metricValue, value.floatValue()) > 0;
}
/**
* This method treats internal value as double mainly for ease of test.
*/
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
GreaterThanHavingSpec that = (GreaterThanHavingSpec) o;
if (value != null && that.value != null) {
return Double.compare(value.doubleValue(), that.value.doubleValue()) == 0;
}
if (value == null && that.value == null) {
return true;
}
return false;
}
@Override
public int hashCode()
{
int result = aggregationName != null ? aggregationName.hashCode() : 0;
result = 31 * result + (value != null ? value.hashCode() : 0);
return result;
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("GreaterThanHavingSpec");
sb.append("{aggregationName='").append(aggregationName).append('\'');
sb.append(", value=").append(value);
sb.append('}');
return sb.toString();
}
}

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@ -0,0 +1,51 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import com.metamx.druid.input.Row;
/**
* A "having" clause that filters aggregated value. This is similar to SQL's "having"
* clause.
*/
@JsonTypeInfo(use = JsonTypeInfo.Id.NAME, property = "type", defaultImpl = AlwaysHavingSpec.class)
@JsonSubTypes(value = {
@JsonSubTypes.Type(name = "and", value = AndHavingSpec.class),
@JsonSubTypes.Type(name = "or", value = OrHavingSpec.class),
@JsonSubTypes.Type(name = "not", value = NotHavingSpec.class),
@JsonSubTypes.Type(name = "greaterThan", value = GreaterThanHavingSpec.class),
@JsonSubTypes.Type(name = "lessThan", value = LessThanHavingSpec.class),
@JsonSubTypes.Type(name = "equalTo", value = EqualToHavingSpec.class)
})
public interface HavingSpec
{
/**
* Evaluates if a given row satisfies the having spec.
*
* @param row A Row of data that may contain aggregated values
*
* @return true if the given row satisfies the having spec. False otherwise.
*
* @see Row
*/
public boolean eval(Row row);
// Atoms for easy combination, but for now they are mostly useful
// for testing.
/**
* A "having" spec that always evaluates to false
*/
public static final HavingSpec NEVER = new HavingSpec()
{
@Override
public boolean eval(Row row)
{
return false;
}
};
/**
* A "having" spec that always evaluates to true
*/
public static final HavingSpec ALWAYS = new AlwaysHavingSpec();
}

View File

@ -0,0 +1,89 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.metamx.druid.input.Row;
/**
* The "<" operator in a "having" clause. This is similar to SQL's "having aggregation < value",
* except that an aggregation in SQL is an expression instead of an aggregation name as in Druid.
*/
public class LessThanHavingSpec implements HavingSpec
{
private String aggregationName;
private Number value;
public LessThanHavingSpec
(
@JsonProperty("aggregation") String aggName,
@JsonProperty("value") Number value
)
{
this.aggregationName = aggName;
this.value = value;
}
@JsonProperty("aggregation")
public String getAggregationName()
{
return aggregationName;
}
@JsonProperty("value")
public Number getValue()
{
return value;
}
@Override
public boolean eval(Row row)
{
float metricValue = row.getFloatMetric(aggregationName);
return Float.compare(metricValue, value.floatValue()) < 0;
}
/**
* This method treats internal value as double mainly for ease of test.
*/
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
LessThanHavingSpec that = (LessThanHavingSpec) o;
if (value != null && that.value != null) {
return Double.compare(value.doubleValue(), that.value.doubleValue()) == 0;
}
if (value == null && that.value == null) {
return true;
}
return false;
}
@Override
public int hashCode()
{
int result = aggregationName != null ? aggregationName.hashCode() : 0;
result = 31 * result + (value != null ? value.hashCode() : 0);
return result;
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("LessThanHavingSpec");
sb.append("{aggregationName='").append(aggregationName).append('\'');
sb.append(", value=").append(value);
sb.append('}');
return sb.toString();
}
}

View File

@ -0,0 +1,66 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.metamx.druid.input.Row;
/**
* The logical "not" operator for the "having" clause.
*/
public class NotHavingSpec implements HavingSpec
{
private HavingSpec havingSpec;
@JsonCreator
public NotHavingSpec(@JsonProperty("havingSpec") HavingSpec havingSpec)
{
this.havingSpec = havingSpec;
}
@JsonProperty("havingSpec")
public HavingSpec getHavingSpec()
{
return havingSpec;
}
@Override
public boolean eval(Row row)
{
return !havingSpec.eval(row);
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("NotHavingSpec");
sb.append("{havingSpec=").append(havingSpec);
sb.append('}');
return sb.toString();
}
@Override
public boolean equals(Object o)
{
if (this == o) {
return true;
}
if (o == null || getClass() != o.getClass()) {
return false;
}
NotHavingSpec that = (NotHavingSpec) o;
if (havingSpec != null ? !havingSpec.equals(that.havingSpec) : that.havingSpec != null) {
return false;
}
return true;
}
@Override
public int hashCode()
{
return havingSpec != null ? havingSpec.hashCode() : 0;
}
}

View File

@ -0,0 +1,67 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.collect.ImmutableList;
import com.metamx.druid.input.Row;
import java.util.List;
/**
* The logical "or" operator for the "having" clause.
*/
public class OrHavingSpec implements HavingSpec
{
private List<HavingSpec> havingSpecs;
@JsonCreator
public OrHavingSpec(@JsonProperty("havingSpecs") List<HavingSpec> havingSpecs) {
this.havingSpecs = havingSpecs == null ? ImmutableList.<HavingSpec>of() : havingSpecs;
}
@JsonProperty("havingSpecs")
public List<HavingSpec> getHavingSpecs(){
return havingSpecs;
}
@Override
public boolean eval(Row row)
{
for(HavingSpec havingSpec: havingSpecs) {
if(havingSpec.eval(row)){
return true;
}
}
return false;
}
@Override
public boolean equals(Object o)
{
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
OrHavingSpec that = (OrHavingSpec) o;
if (havingSpecs != null ? !havingSpecs.equals(that.havingSpecs) : that.havingSpecs != null) return false;
return true;
}
@Override
public int hashCode()
{
return havingSpecs != null ? havingSpecs.hashCode() : 0;
}
@Override
public String toString()
{
final StringBuilder sb = new StringBuilder();
sb.append("OrHavingSpec");
sb.append("{havingSpecs=").append(havingSpecs);
sb.append('}');
return sb.toString();
}
}

View File

@ -17,13 +17,14 @@
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package com.metamx.druid.query.group.limit;
package com.metamx.druid.query.group.orderby;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.base.Function;
import com.google.common.base.Preconditions;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Ordering;
import com.google.common.primitives.Longs;
@ -35,6 +36,8 @@ import com.metamx.druid.aggregation.post.PostAggregator;
import com.metamx.druid.input.Row;
import com.metamx.druid.query.dimension.DimensionSpec;
import javax.annotation.Nullable;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
@ -55,7 +58,7 @@ public class DefaultLimitSpec implements LimitSpec
this.columns = (columns == null) ? ImmutableList.<OrderByColumnSpec>of() : columns;
this.limit = (limit == null) ? Integer.MAX_VALUE : limit;
Preconditions.checkState(limit > 0, "limit[%s] must be >0", limit);
Preconditions.checkArgument(this.limit > 0, "limit[%s] must be >0", limit);
}
@JsonProperty
@ -75,20 +78,22 @@ public class DefaultLimitSpec implements LimitSpec
List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs
)
{
// Materialize the Comparator first for fast-fail error checking.
final Comparator<Row> comparator = makeComparator(dimensions, aggs, postAggs);
if (columns.isEmpty()) {
return new LimitingFn(limit);
}
return new Function<Sequence<Row>, Sequence<Row>>()
{
@Override
public Sequence<Row> apply(Sequence<Row> input)
{
return Sequences.limit(Sequences.sort(input, comparator), limit);
}
};
// Materialize the Comparator first for fast-fail error checking.
final Ordering<Row> ordering = makeComparator(dimensions, aggs, postAggs);
if (limit == Integer.MAX_VALUE) {
return new SortingFn(ordering);
}
else {
return new TopNFunction(ordering, limit);
}
}
private Comparator<Row> makeComparator(
private Ordering<Row> makeComparator(
List<DimensionSpec> dimensions, List<AggregatorFactory> aggs, List<PostAggregator> postAggs
)
{
@ -174,4 +179,57 @@ public class DefaultLimitSpec implements LimitSpec
", limit=" + limit +
'}';
}
private static class LimitingFn implements Function<Sequence<Row>, Sequence<Row>>
{
private int limit;
public LimitingFn(int limit)
{
this.limit = limit;
}
@Override
public Sequence<Row> apply(
@Nullable Sequence<Row> input
)
{
return Sequences.limit(input, limit);
}
}
private static class SortingFn implements Function<Sequence<Row>, Sequence<Row>>
{
private final Ordering<Row> ordering;
public SortingFn(Ordering<Row> ordering) {this.ordering = ordering;}
@Override
public Sequence<Row> apply(@Nullable Sequence<Row> input)
{
return Sequences.sort(input, ordering);
}
}
private static class TopNFunction implements Function<Sequence<Row>, Sequence<Row>>
{
private final TopNSorter<Row> sorter;
private final int limit;
public TopNFunction(Ordering<Row> ordering, int limit)
{
this.limit = limit;
this.sorter = new TopNSorter<Row>(ordering);
}
@Override
public Sequence<Row> apply(
@Nullable Sequence<Row> input
)
{
final ArrayList<Row> materializedList = Sequences.toList(input, Lists.<Row>newArrayList());
return Sequences.simple(sorter.toTopN(materializedList, limit));
}
}
}

View File

@ -17,7 +17,7 @@
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package com.metamx.druid.query.group.limit;
package com.metamx.druid.query.group.orderby;
import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;

View File

@ -1,4 +1,4 @@
package com.metamx.druid.query.group.limit;
package com.metamx.druid.query.group.orderby;
import com.google.common.base.Function;
import com.google.common.base.Functions;

View File

@ -1,12 +1,17 @@
package com.metamx.druid.query.group.limit;
package com.metamx.druid.query.group.orderby;
import com.fasterxml.jackson.annotation.JsonCreator;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.google.common.base.Function;
import com.google.common.base.Preconditions;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Lists;
import com.metamx.common.IAE;
import com.metamx.common.ISE;
import javax.annotation.Nullable;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
/**
@ -52,6 +57,46 @@ public class OrderByColumnSpec
}
}
public static OrderByColumnSpec asc(String dimension)
{
return new OrderByColumnSpec(dimension, Direction.ASCENDING);
}
public static List<OrderByColumnSpec> ascending(String... dimension)
{
return Lists.transform(
Arrays.asList(dimension),
new Function<String, OrderByColumnSpec>()
{
@Override
public OrderByColumnSpec apply(@Nullable String input)
{
return asc(input);
}
}
);
}
public static OrderByColumnSpec desc(String dimension)
{
return new OrderByColumnSpec(dimension, Direction.DESCENDING);
}
public static List<OrderByColumnSpec> descending(String... dimension)
{
return Lists.transform(
Arrays.asList(dimension),
new Function<String, OrderByColumnSpec>()
{
@Override
public OrderByColumnSpec apply(@Nullable String input)
{
return desc(input);
}
}
);
}
public OrderByColumnSpec(
String dimension,
Direction direction

View File

@ -0,0 +1,43 @@
package com.metamx.druid.query.group.orderby;
import com.google.common.collect.MinMaxPriorityQueue;
import java.util.Iterator;
/**
* Utility class that supports iterating a priority queue in sorted order.
*/
class OrderedPriorityQueueItems<T> implements Iterable<T>
{
private MinMaxPriorityQueue<T> rows;
public OrderedPriorityQueueItems(MinMaxPriorityQueue<T> rows)
{
this.rows = rows;
}
@Override
public Iterator<T> iterator()
{
return new Iterator<T>() {
@Override
public boolean hasNext()
{
return !rows.isEmpty();
}
@Override
public T next()
{
return rows.poll();
}
@Override
public void remove()
{
throw new UnsupportedOperationException("Can't remove any item from an intermediary heap for orderBy/limit");
}
};
}
}

View File

@ -0,0 +1,40 @@
package com.metamx.druid.query.group.orderby;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.MinMaxPriorityQueue;
import com.google.common.collect.Ordering;
/**
* A utility class that sorts a list of comparable items in the given order, and keeps only the
* top N sorted items.
*/
public class TopNSorter<T>
{
private Ordering<T> ordering;
/**
* Constructs a sorter that will sort items with given ordering.
* @param ordering the order that this sorter instance will use for sorting
*/
public TopNSorter(Ordering<T> ordering)
{
this.ordering = ordering;
}
/**
* Sorts a list of rows and retain the top n items
* @param items the collections of items to be sorted
* @param n the number of items to be retained
* @return Top n items that are sorted in the order specified when this instance is constructed.
*/
public Iterable<T> toTopN(Iterable<T> items, int n)
{
if(n <= 0) {
return ImmutableList.of();
}
MinMaxPriorityQueue<T> queue = MinMaxPriorityQueue.orderedBy(ordering).maximumSize(n).create(items);
return new OrderedPriorityQueueItems<T>(queue);
}
}

View File

@ -0,0 +1,121 @@
/*
* Druid - a distributed column store.
* Copyright (C) 2012 Metamarkets Group Inc.
*
* This program is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* as published by the Free Software Foundation; either version 2
* of the License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
*/
package com.metamx.druid.client.selector;
import com.fasterxml.jackson.dataformat.smile.SmileFactory;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.util.concurrent.SettableFuture;
import com.metamx.druid.Druids;
import com.metamx.druid.client.DataSegment;
import com.metamx.druid.client.DirectDruidClient;
import com.metamx.druid.jackson.DefaultObjectMapper;
import com.metamx.druid.query.ReflectionQueryToolChestWarehouse;
import com.metamx.druid.query.timeboundary.TimeBoundaryQuery;
import com.metamx.druid.shard.NoneShardSpec;
import com.metamx.http.client.HttpClient;
import com.metamx.http.client.Request;
import com.metamx.http.client.RequestBuilder;
import junit.framework.Assert;
import org.easymock.EasyMock;
import org.jboss.netty.handler.codec.http.HttpMethod;
import org.joda.time.DateTime;
import org.joda.time.Interval;
import org.junit.Before;
import org.junit.Test;
import java.net.URL;
/**
*/
public class ServerSelectorTest
{
private HttpClient httpClient;
@Before
public void setUp() throws Exception
{
httpClient = EasyMock.createMock(HttpClient.class);
}
@Test
public void testPick() throws Exception
{
RequestBuilder requestBuilder = new RequestBuilder(httpClient, HttpMethod.POST, new URL("http://foo.com"));
EasyMock.expect(httpClient.post(EasyMock.<URL>anyObject())).andReturn(requestBuilder).atLeastOnce();
EasyMock.expect(httpClient.go(EasyMock.<Request>anyObject())).andReturn(SettableFuture.create()).atLeastOnce();
EasyMock.replay(httpClient);
final ServerSelector serverSelector = new ServerSelector(
new DataSegment(
"test",
new Interval("2013-01-01/2013-01-02"),
new DateTime("2013-01-01").toString(),
Maps.<String, Object>newHashMap(),
Lists.<String>newArrayList(),
Lists.<String>newArrayList(),
new NoneShardSpec(),
0,
0L
)
);
DirectDruidClient client1 = new DirectDruidClient(
new ReflectionQueryToolChestWarehouse(),
new DefaultObjectMapper(new SmileFactory()),
httpClient,
"foo"
);
DirectDruidClient client2 = new DirectDruidClient(
new ReflectionQueryToolChestWarehouse(),
new DefaultObjectMapper(new SmileFactory()),
httpClient,
"foo2"
);
QueryableDruidServer queryableDruidServer1 = new QueryableDruidServer(
null,
client1
);
serverSelector.addServer(queryableDruidServer1);
QueryableDruidServer queryableDruidServer2 = new QueryableDruidServer(
null,
client2
);
serverSelector.addServer(queryableDruidServer2);
TimeBoundaryQuery query = Druids.newTimeBoundaryQueryBuilder().dataSource("test").build();
client1.run(query);
client1.run(query);
client1.run(query);
Assert.assertTrue(client1.getNumOpenConnections() == 3);
client2.run(query);
client2.run(query);
Assert.assertTrue(client2.getNumOpenConnections() == 2);
Assert.assertTrue(serverSelector.pick() == queryableDruidServer2);
EasyMock.verify(httpClient);
}
}

View File

@ -0,0 +1,227 @@
package com.metamx.druid.query.group.having;
import com.fasterxml.jackson.databind.ObjectMapper;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.Lists;
import com.metamx.druid.input.MapBasedInputRow;
import com.metamx.druid.input.Row;
import com.metamx.druid.jackson.DefaultObjectMapper;
import org.junit.Test;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import java.util.Map;
import java.util.concurrent.atomic.AtomicInteger;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
public class HavingSpecTest
{
private static final Row ROW = new MapBasedInputRow(0, new ArrayList<String>(), ImmutableMap.of("metric", (Object)Float.valueOf(10)));
@Test
public void testHavingClauseSerde() throws Exception {
List<HavingSpec> havings = Arrays.asList(
new GreaterThanHavingSpec("agg", Double.valueOf(1.3)),
new OrHavingSpec(
Arrays.asList(
new LessThanHavingSpec("lessAgg", Long.valueOf(1L)),
new NotHavingSpec(new EqualToHavingSpec("equalAgg", Double.valueOf(2)))
)
)
);
HavingSpec andHavingSpec = new AndHavingSpec(havings);
Map<String, Object> notMap = ImmutableMap.<String, Object>of(
"type", "not",
"havingSpec", ImmutableMap.of("type", "equalTo", "aggregation", "equalAgg", "value", 2.0)
);
Map<String, Object> lessMap = ImmutableMap.<String, Object>of(
"type", "lessThan",
"aggregation", "lessAgg",
"value", 1
);
Map<String, Object> greaterMap = ImmutableMap.<String, Object>of(
"type", "greaterThan",
"aggregation", "agg",
"value", 1.3
);
Map<String, Object> orMap = ImmutableMap.<String, Object>of(
"type", "or",
"havingSpecs", ImmutableList.of(lessMap, notMap)
);
Map<String, Object> payloadMap = ImmutableMap.<String, Object>of(
"type", "and",
"havingSpecs", ImmutableList.of(greaterMap, orMap)
);
ObjectMapper mapper = new DefaultObjectMapper();
assertEquals(andHavingSpec, mapper.convertValue(payloadMap, AndHavingSpec.class));
}
@Test
public void testGreaterThanHavingSpec() {
GreaterThanHavingSpec spec = new GreaterThanHavingSpec("metric", 10.003);
assertFalse(spec.eval(ROW));
spec = new GreaterThanHavingSpec("metric", 10);
assertFalse(spec.eval(ROW));
spec = new GreaterThanHavingSpec("metric", 9);
assertTrue(spec.eval(ROW));
}
private MapBasedInputRow makeRow(long ts, String dim, int value)
{
List<String> dimensions = Lists.newArrayList(dim);
Map<String, Object> metrics = ImmutableMap.of("metric", (Object) Float.valueOf(value));
return new MapBasedInputRow(ts, dimensions, metrics);
}
@Test
public void testLessThanHavingSpec() {
LessThanHavingSpec spec = new LessThanHavingSpec("metric", 10);
assertFalse(spec.eval(ROW));
spec = new LessThanHavingSpec("metric", 11);
assertTrue(spec.eval(ROW));
spec = new LessThanHavingSpec("metric", 9);
assertFalse(spec.eval(ROW));
}
@Test
public void testEqualHavingSpec() {
EqualToHavingSpec spec = new EqualToHavingSpec("metric", 10);
assertTrue(spec.eval(ROW));
spec = new EqualToHavingSpec("metric", 9);
assertFalse(spec.eval(ROW));
spec = new EqualToHavingSpec("metric", 11);
assertFalse(spec.eval(ROW));
}
private static class CountingHavingSpec implements HavingSpec {
private final AtomicInteger counter;
private final boolean value;
private CountingHavingSpec(AtomicInteger counter, boolean value)
{
this.counter = counter;
this.value = value;
}
@Override
public boolean eval(Row row)
{
counter.incrementAndGet();
return value;
}
}
@Test
public void testAndHavingSpecShouldSupportShortcutEvaluation () {
AtomicInteger counter = new AtomicInteger(0);
AndHavingSpec spec = new AndHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, false)
));
spec.eval(ROW);
assertEquals(2, counter.get());
}
@Test
public void testAndHavingSpec () {
AtomicInteger counter = new AtomicInteger(0);
AndHavingSpec spec = new AndHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true)
));
spec.eval(ROW);
assertEquals(4, counter.get());
counter.set(0);
spec = new AndHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true)
));
spec.eval(ROW);
assertEquals(1, counter.get());
}
@Test
public void testOrHavingSpecSupportsShortcutEvaluation() {
AtomicInteger counter = new AtomicInteger(0);
OrHavingSpec spec = new OrHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, true),
new CountingHavingSpec(counter, false)
));
spec.eval(ROW);
assertEquals(1, counter.get());
}
@Test
public void testOrHavingSpec () {
AtomicInteger counter = new AtomicInteger(0);
OrHavingSpec spec = new OrHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, false)
));
spec.eval(ROW);
assertEquals(4, counter.get());
counter.set(0);
spec = new OrHavingSpec(ImmutableList.of(
(HavingSpec)new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, false),
new CountingHavingSpec(counter, true)
));
spec.eval(ROW);
assertEquals(4, counter.get());
}
@Test
public void testNotHavingSepc() {
NotHavingSpec spec = new NotHavingSpec(HavingSpec.NEVER);
assertTrue(spec.eval(ROW));
spec = new NotHavingSpec(HavingSpec.ALWAYS);
assertFalse(spec.eval(ROW));
}
}

View File

@ -0,0 +1,79 @@
package com.metamx.druid.query.group.orderby;
import com.google.common.base.Splitter;
import com.google.common.collect.Lists;
import com.google.common.collect.Ordering;
import org.junit.Assert;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.List;
import java.util.Random;
@RunWith(Parameterized.class)
public class TopNSorterTest
{
private static final long SEED = 2L;
private static final Ordering<String> ASC = Ordering.natural();
private static final Ordering<String> DESC = Ordering.natural().reverse();
private static final List<String> EMPTY = Collections.EMPTY_LIST;
private static final List<String> SINGLE = Lists.newArrayList("a");
private static final List<String> RAW_ASC = Lists.newArrayList(Splitter.fixedLength(1).split("abcdefghijk"));
private static final List<String> RAW_DESC = Lists.newArrayList(Splitter.fixedLength(1).split("kjihgfedcba"));
private Ordering<String> ordering;
private List<String> rawInput;
private int limit;
@Parameterized.Parameters
public static Collection<Object[]> makeTestData(){
Object[][] data = new Object[][] {
{ ASC, RAW_ASC, RAW_ASC.size() - 2},
{ ASC, RAW_ASC, RAW_ASC.size()},
{ ASC, RAW_ASC, RAW_ASC.size() + 2},
{ ASC, RAW_ASC, 0},
{ ASC, SINGLE, 0},
{ ASC, SINGLE, 1},
{ ASC, SINGLE, 2},
{ ASC, SINGLE, 3},
{ ASC, EMPTY, 0},
{ ASC, EMPTY, 1},
{ DESC, RAW_DESC, RAW_DESC.size() - 2},
{ DESC, RAW_DESC, RAW_DESC.size()},
{ DESC, RAW_DESC, RAW_DESC.size() + 2},
{ DESC, RAW_DESC, 0},
{ DESC, RAW_DESC, 0},
{ DESC, SINGLE, 1},
{ DESC, SINGLE, 2},
{ DESC, SINGLE, 3},
{ DESC, EMPTY, 0},
{ DESC, EMPTY, 1},
};
return Arrays.asList(data);
}
public TopNSorterTest(Ordering<String> ordering, List<String> rawInput, int limit){
this.ordering = ordering;
this.rawInput = rawInput;
this.limit = limit;
}
@Test
public void testOrderByWithLimit()
{
List<String> expected = rawInput.subList(0, Math.min(limit, rawInput.size()));
List<String> inputs = Lists.newArrayList(rawInput);
Collections.shuffle(inputs, new Random(2));
Iterable<String> result = new TopNSorter<String>(ordering).toTopN(inputs, limit);
Assert.assertEquals(expected, Lists.newArrayList(result));
}
}

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -181,7 +181,7 @@ public class DbConnector
dataSource.setPassword(config.getDatabasePassword());
dataSource.setUrl(config.getDatabaseConnectURI());
if (config.isValidationQuery()) {
if (config.useValidationQuery()) {
dataSource.setValidationQuery(config.getValidationQuery());
dataSource.setTestOnBorrow(true);
}

View File

@ -44,7 +44,7 @@ public abstract class DbConnectorConfig
@JsonProperty("useValidationQuery")
@Config("druid.database.validation")
public boolean isValidationQuery() {
public boolean useValidationQuery() {
return false;
}

View File

@ -9,7 +9,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -29,7 +29,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -74,9 +74,9 @@ public class ColumnDescriptor
return parts;
}
public int numBytes()
public long numBytes()
{
int retVal = 0;
long retVal = 0;
for (ColumnPartSerde part : parts) {
retVal += part.numBytes();

View File

@ -38,7 +38,7 @@ import java.nio.channels.WritableByteChannel;
})
public interface ColumnPartSerde
{
public int numBytes();
public long numBytes();
public void write(WritableByteChannel channel) throws IOException;
public ColumnPartSerde read(ByteBuffer buffer, ColumnBuilder builder);
}

View File

@ -61,7 +61,7 @@ public class ComplexColumnPartSerde implements ColumnPartSerde
}
@Override
public int numBytes()
public long numBytes()
{
return column.getSerializedSize();
}

View File

@ -54,7 +54,7 @@ public class DictionaryEncodedColumnPartSerde implements ColumnPartSerde
private final GenericIndexed<ImmutableConciseSet> bitmaps;
private final ImmutableRTree spatialIndex;
private final int size;
private final long size;
public DictionaryEncodedColumnPartSerde(
GenericIndexed<String> dictionary,
@ -70,7 +70,7 @@ public class DictionaryEncodedColumnPartSerde implements ColumnPartSerde
this.bitmaps = bitmaps;
this.spatialIndex = spatialIndex;
int size = dictionary.getSerializedSize();
long size = dictionary.getSerializedSize();
if (singleValCol != null && multiValCol == null) {
size += singleValCol.getSerializedSize();
} else if (singleValCol == null && multiValCol != null) {
@ -103,7 +103,7 @@ public class DictionaryEncodedColumnPartSerde implements ColumnPartSerde
}
@Override
public int numBytes()
public long numBytes()
{
return 1 + size;
}

View File

@ -58,7 +58,7 @@ public class FloatGenericColumnPartSerde implements ColumnPartSerde
}
@Override
public int numBytes()
public long numBytes()
{
return compressedFloats.getSerializedSize();
}

View File

@ -58,7 +58,7 @@ public class LongGenericColumnPartSerde implements ColumnPartSerde
}
@Override
public int numBytes()
public long numBytes()
{
return compressedLongs.getSerializedSize();
}

View File

@ -150,7 +150,7 @@ public class CompressedFloatsIndexedSupplier implements Supplier<IndexedFloats>
};
}
public int getSerializedSize()
public long getSerializedSize()
{
return baseFloatBuffers.getSerializedSize() + 1 + 4 + 4;
}

View File

@ -161,7 +161,7 @@ public class CompressedLongsIndexedSupplier implements Supplier<IndexedLongs>
};
}
public int getSerializedSize()
public long getSerializedSize()
{
return baseLongBuffers.getSerializedSize() + 1 + 4 + 4;
}

View File

@ -663,7 +663,7 @@ public class IndexIO
GenericIndexed<String> cols = GenericIndexed.fromIterable(columns, GenericIndexed.stringStrategy);
final int numBytes = cols.getSerializedSize() + dims9.getSerializedSize() + 16;
final long numBytes = cols.getSerializedSize() + dims9.getSerializedSize() + 16;
final SmooshedWriter writer = v9Smoosher.addWithSmooshedWriter("index.drd", numBytes);
cols.writeToChannel(writer);
dims9.writeToChannel(writer);

View File

@ -207,7 +207,7 @@ public class GenericIndexed<T> implements Indexed<T>
return -(minIndex + 1);
}
public int getSerializedSize()
public long getSerializedSize()
{
return theBuffer.remaining() + 2 + 4 + 4;
}

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>
@ -120,12 +120,6 @@
<outputFile>
${project.build.directory}/${project.artifactId}-${project.version}-selfcontained.jar
</outputFile>
<relocations>
<relocation>
<pattern>org.codehaus.jackson</pattern>
<shadedPattern>druid.org.codehaus.jackson</shadedPattern>
</relocation>
</relocations>
</configuration>
</execution>
</executions>

View File

@ -504,7 +504,6 @@ public class DeterminePartitionsJob implements Jobby
public static class DeterminePartitionsDimSelectionReducer extends DeterminePartitionsDimSelectionBaseReducer
{
private static final double SHARD_COMBINE_THRESHOLD = 0.25;
private static final double SHARD_OVERSIZE_THRESHOLD = 1.5;
private static final int HIGH_CARDINALITY_THRESHOLD = 3000000;
@Override
@ -672,7 +671,7 @@ public class DeterminePartitionsJob implements Jobby
// Make sure none of these shards are oversized
boolean oversized = false;
for(final DimPartition partition : dimPartitions.partitions) {
if(partition.rows > config.getTargetPartitionSize() * SHARD_OVERSIZE_THRESHOLD) {
if(partition.rows > config.getMaxPartitionSize()) {
log.info("Dimension[%s] has an oversized shard: %s", dimPartitions.dim, partition.shardSpec);
oversized = true;
}

View File

@ -236,7 +236,7 @@ public class HadoopDruidIndexerConfig
this.partitionsSpec = partitionsSpec;
} else {
// Backwards compatibility
this.partitionsSpec = new PartitionsSpec(partitionDimension, targetPartitionSize, false);
this.partitionsSpec = new PartitionsSpec(partitionDimension, targetPartitionSize, null, false);
}
if(granularitySpec != null) {
@ -431,6 +431,11 @@ public class HadoopDruidIndexerConfig
return partitionsSpec.getTargetPartitionSize();
}
public long getMaxPartitionSize()
{
return partitionsSpec.getMaxPartitionSize();
}
public boolean isUpdaterJobSpecSet()
{
return (updaterJobSpec != null);

View File

@ -102,8 +102,6 @@ public class HadoopDruidIndexerJob implements Jobby
}
}
publishedSegments = IndexGeneratorJob.getPublishedSegments(config);
if (!config.isLeaveIntermediate()) {
if (failedMessage == null || config.isCleanupOnFailure()) {
Path workingPath = config.makeIntermediatePath();
@ -121,6 +119,8 @@ public class HadoopDruidIndexerJob implements Jobby
throw new ISE(failedMessage);
}
publishedSegments = IndexGeneratorJob.getPublishedSegments(config);
return true;
}

View File

@ -8,22 +8,30 @@ import javax.annotation.Nullable;
public class PartitionsSpec
{
private static final double DEFAULT_OVERSIZE_THRESHOLD = 1.5;
@Nullable
private final String partitionDimension;
private final long targetPartitionSize;
private final long maxPartitionSize;
private final boolean assumeGrouped;
@JsonCreator
public PartitionsSpec(
@JsonProperty("partitionDimension") @Nullable String partitionDimension,
@JsonProperty("targetPartitionSize") @Nullable Long targetPartitionSize,
@JsonProperty("maxPartitionSize") @Nullable Long maxPartitionSize,
@JsonProperty("assumeGrouped") @Nullable Boolean assumeGrouped
)
{
this.partitionDimension = partitionDimension;
this.targetPartitionSize = targetPartitionSize == null ? -1 : targetPartitionSize;
this.maxPartitionSize = maxPartitionSize == null
? (long) (this.targetPartitionSize * DEFAULT_OVERSIZE_THRESHOLD)
: maxPartitionSize;
this.assumeGrouped = assumeGrouped == null ? false : assumeGrouped;
}
@ -46,6 +54,12 @@ public class PartitionsSpec
return targetPartitionSize;
}
@JsonProperty
public long getMaxPartitionSize()
{
return maxPartitionSize;
}
@JsonProperty
public boolean isAssumeGrouped()
{

View File

@ -24,6 +24,7 @@ import com.google.common.base.Throwables;
import com.google.common.collect.Lists;
import com.metamx.druid.indexer.granularity.UniformGranularitySpec;
import com.metamx.druid.indexer.partitions.PartitionsSpec;
import com.metamx.druid.indexer.updater.DbUpdaterJobSpec;
import com.metamx.druid.jackson.DefaultObjectMapper;
import org.joda.time.Interval;
@ -39,8 +40,8 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
"{"
cfg = jsonReadWriteRead(
"{"
+ " \"granularitySpec\":{"
+ " \"type\":\"uniform\","
+ " \"gran\":\"hour\","
@ -74,7 +75,7 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
cfg = jsonReadWriteRead(
"{"
+ "\"segmentGranularity\":\"day\","
+ "\"intervals\":[\"2012-02-01/P1D\"]"
@ -137,7 +138,7 @@ public class HadoopDruidIndexerConfigTest
public void testInvalidGranularityCombination() {
boolean thrown = false;
try {
final HadoopDruidIndexerConfig cfg = jsonMapper.readValue(
final HadoopDruidIndexerConfig cfg = jsonReadWriteRead(
"{"
+ "\"segmentGranularity\":\"day\","
+ "\"intervals\":[\"2012-02-01/P1D\"],"
@ -161,7 +162,7 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
cfg = jsonReadWriteRead(
"{}",
HadoopDruidIndexerConfig.class
);
@ -183,7 +184,7 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
cfg = jsonReadWriteRead(
"{"
+ "\"partitionsSpec\":{"
+ " \"targetPartitionSize\":100"
@ -221,7 +222,7 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
cfg = jsonReadWriteRead(
"{"
+ "\"partitionsSpec\":{"
+ " \"targetPartitionSize\":100,"
@ -248,6 +249,12 @@ public class HadoopDruidIndexerConfigTest
100
);
Assert.assertEquals(
"getMaxPartitionSize",
partitionsSpec.getMaxPartitionSize(),
150
);
Assert.assertEquals(
"getPartitionDimension",
partitionsSpec.getPartitionDimension(),
@ -260,7 +267,7 @@ public class HadoopDruidIndexerConfigTest
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonMapper.readValue(
cfg = jsonReadWriteRead(
"{"
+ "\"targetPartitionSize\":100,"
+ "\"partitionDimension\":\"foo\""
@ -285,6 +292,58 @@ public class HadoopDruidIndexerConfigTest
100
);
Assert.assertEquals(
"getMaxPartitionSize",
partitionsSpec.getMaxPartitionSize(),
150
);
Assert.assertEquals(
"getPartitionDimension",
partitionsSpec.getPartitionDimension(),
"foo"
);
}
@Test
public void testPartitionsSpecMaxPartitionSize() {
final HadoopDruidIndexerConfig cfg;
try {
cfg = jsonReadWriteRead(
"{"
+ "\"partitionsSpec\":{"
+ " \"targetPartitionSize\":100,"
+ " \"maxPartitionSize\":200,"
+ " \"partitionDimension\":\"foo\""
+ " }"
+ "}",
HadoopDruidIndexerConfig.class
);
} catch(Exception e) {
throw Throwables.propagate(e);
}
final PartitionsSpec partitionsSpec = cfg.getPartitionsSpec();
Assert.assertEquals(
"isDeterminingPartitions",
partitionsSpec.isDeterminingPartitions(),
true
);
Assert.assertEquals(
"getTargetPartitionSize",
partitionsSpec.getTargetPartitionSize(),
100
);
Assert.assertEquals(
"getMaxPartitionSize",
partitionsSpec.getMaxPartitionSize(),
200
);
Assert.assertEquals(
"getPartitionDimension",
partitionsSpec.getPartitionDimension(),
@ -296,7 +355,7 @@ public class HadoopDruidIndexerConfigTest
public void testInvalidPartitionsCombination() {
boolean thrown = false;
try {
final HadoopDruidIndexerConfig cfg = jsonMapper.readValue(
final HadoopDruidIndexerConfig cfg = jsonReadWriteRead(
"{"
+ "\"targetPartitionSize\":100,"
+ "\"partitionsSpec\":{"
@ -311,4 +370,40 @@ public class HadoopDruidIndexerConfigTest
Assert.assertTrue("Exception thrown", thrown);
}
@Test
public void testDbUpdaterJobSpec() throws Exception
{
final HadoopDruidIndexerConfig cfg;
cfg = jsonReadWriteRead(
"{"
+ "\"updaterJobSpec\":{\n"
+ " \"type\" : \"db\",\n"
+ " \"connectURI\" : \"jdbc:mysql://localhost/druid\",\n"
+ " \"user\" : \"rofl\",\n"
+ " \"password\" : \"p4ssw0rd\",\n"
+ " \"segmentTable\" : \"segments\"\n"
+ " }"
+ "}",
HadoopDruidIndexerConfig.class
);
final DbUpdaterJobSpec spec = (DbUpdaterJobSpec) cfg.getUpdaterJobSpec();
Assert.assertEquals("segments", spec.getSegmentTable());
Assert.assertEquals("jdbc:mysql://localhost/druid", spec.getDatabaseConnectURI());
Assert.assertEquals("rofl", spec.getDatabaseUser());
Assert.assertEquals("p4ssw0rd", spec.getDatabasePassword());
Assert.assertEquals(false, spec.useValidationQuery());
}
private <T> T jsonReadWriteRead(String s, Class<T> klass)
{
try {
return jsonMapper.readValue(jsonMapper.writeValueAsBytes(jsonMapper.readValue(s, klass)), klass);
}
catch (Exception e) {
throw Throwables.propagate(e);
}
}
}

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -25,6 +25,7 @@ import com.google.common.base.Joiner;
import com.google.common.base.Optional;
import com.google.common.base.Preconditions;
import com.google.common.base.Predicate;
import com.google.common.base.Stopwatch;
import com.google.common.base.Throwables;
import com.google.common.collect.Lists;
import com.google.common.collect.MinMaxPriorityQueue;
@ -230,6 +231,13 @@ public class RemoteTaskRunner implements TaskRunner, TaskLogProvider
return null;
}
public boolean isWorkerRunningTask(String workerHost, String taskId)
{
ZkWorker zkWorker = zkWorkers.get(workerHost);
return (zkWorker != null && zkWorker.getRunningTasks().contains(taskId));
}
/**
* A task will be run only if there is no current knowledge in the RemoteTaskRunner of the task.
*
@ -350,6 +358,7 @@ public class RemoteTaskRunner implements TaskRunner, TaskLogProvider
/**
* Adds a task to the pending queue
*
* @param taskRunnerWorkItem
*/
private void addPendingTask(final TaskRunnerWorkItem taskRunnerWorkItem)
@ -489,25 +498,36 @@ public class RemoteTaskRunner implements TaskRunner, TaskLogProvider
throw new ISE("Length of raw bytes for task too large[%,d > %,d]", rawBytes.length, config.getMaxNumBytes());
}
cf.create()
.withMode(CreateMode.EPHEMERAL)
.forPath(
JOINER.join(
config.getIndexerTaskPath(),
theWorker.getHost(),
task.getId()
),
rawBytes
);
String taskPath = JOINER.join(config.getIndexerTaskPath(), theWorker.getHost(), task.getId());
if (cf.checkExists().forPath(taskPath) == null) {
cf.create()
.withMode(CreateMode.EPHEMERAL)
.forPath(
taskPath, rawBytes
);
}
runningTasks.put(task.getId(), pendingTasks.remove(task.getId()));
log.info("Task %s switched from pending to running", task.getId());
// Syncing state with Zookeeper - don't assign new tasks until the task we just assigned is actually running
// on a worker - this avoids overflowing a worker with tasks
Stopwatch timeoutStopwatch = new Stopwatch();
timeoutStopwatch.start();
synchronized (statusLock) {
while (findWorkerRunningTask(task.getId()) == null) {
while (!isWorkerRunningTask(theWorker.getHost(), task.getId())) {
statusLock.wait(config.getTaskAssignmentTimeoutDuration().getMillis());
if (timeoutStopwatch.elapsedMillis() >= config.getTaskAssignmentTimeoutDuration().getMillis()) {
log.error(
"Something went wrong! %s never ran task %s after %s!",
theWorker.getHost(),
task.getId(),
config.getTaskAssignmentTimeoutDuration()
);
retryTask(runningTasks.get(task.getId()), theWorker.getHost());
break;
}
}
}
}
@ -687,7 +707,7 @@ public class RemoteTaskRunner implements TaskRunner, TaskLogProvider
);
if (workerQueue.isEmpty()) {
log.info("Worker nodes %s do not have capacity to run any more tasks!", zkWorkers.values());
log.debug("Worker nodes %s do not have capacity to run any more tasks!", zkWorkers.values());
return null;
}

View File

@ -28,7 +28,6 @@ import com.google.common.util.concurrent.Futures;
import com.google.common.util.concurrent.ListenableFuture;
import com.google.common.util.concurrent.ListeningExecutorService;
import com.google.common.util.concurrent.MoreExecutors;
import com.metamx.common.guava.FunctionalIterable;
import com.metamx.common.lifecycle.LifecycleStop;
import com.metamx.druid.Query;
import com.metamx.druid.merger.common.TaskStatus;
@ -51,20 +50,19 @@ import java.util.Set;
import java.util.concurrent.Callable;
import java.util.concurrent.ConcurrentSkipListSet;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.ThreadPoolExecutor;
/**
* Runs tasks in a JVM thread using an ExecutorService.
*/
public class ExecutorServiceTaskRunner implements TaskRunner, QuerySegmentWalker
public class ThreadPoolTaskRunner implements TaskRunner, QuerySegmentWalker
{
private final TaskToolboxFactory toolboxFactory;
private final ListeningExecutorService exec;
private final Set<TaskRunnerWorkItem> runningItems = new ConcurrentSkipListSet<TaskRunnerWorkItem>();
private static final EmittingLogger log = new EmittingLogger(ExecutorServiceTaskRunner.class);
private static final EmittingLogger log = new EmittingLogger(ThreadPoolTaskRunner.class);
public ExecutorServiceTaskRunner(
public ThreadPoolTaskRunner(
TaskToolboxFactory toolboxFactory,
ExecutorService exec
)

View File

@ -59,7 +59,7 @@ import com.metamx.druid.merger.common.config.TaskConfig;
import com.metamx.druid.merger.common.index.EventReceiverFirehoseFactory;
import com.metamx.druid.merger.common.index.ChatHandlerProvider;
import com.metamx.druid.merger.common.index.StaticS3FirehoseFactory;
import com.metamx.druid.merger.coordinator.ExecutorServiceTaskRunner;
import com.metamx.druid.merger.coordinator.ThreadPoolTaskRunner;
import com.metamx.druid.merger.worker.config.ChatHandlerProviderConfig;
import com.metamx.druid.merger.worker.config.WorkerConfig;
import com.metamx.druid.utils.PropUtils;
@ -118,7 +118,7 @@ public class ExecutorNode extends BaseServerNode<ExecutorNode>
private ServiceAnnouncer serviceAnnouncer = null;
private ServiceProvider coordinatorServiceProvider = null;
private Server server = null;
private ExecutorServiceTaskRunner taskRunner = null;
private ThreadPoolTaskRunner taskRunner = null;
private ExecutorLifecycle executorLifecycle = null;
private ChatHandlerProvider chatHandlerProvider = null;
@ -247,7 +247,7 @@ public class ExecutorNode extends BaseServerNode<ExecutorNode>
executorLifecycle.join();
}
public ExecutorServiceTaskRunner getTaskRunner()
public ThreadPoolTaskRunner getTaskRunner()
{
return taskRunner;
}
@ -414,7 +414,7 @@ public class ExecutorNode extends BaseServerNode<ExecutorNode>
{
if (taskRunner == null) {
this.taskRunner = lifecycle.addManagedInstance(
new ExecutorServiceTaskRunner(
new ThreadPoolTaskRunner(
taskToolboxFactory,
Executors.newSingleThreadExecutor(
new ThreadFactoryBuilder()

View File

@ -291,7 +291,7 @@ public class RemoteTaskRunnerTest
new PathChildrenCache(cf, String.format("%s/worker1", tasksPath), true),
cf,
workerCuratorCoordinator,
new ExecutorServiceTaskRunner(
new ThreadPoolTaskRunner(
new TaskToolboxFactory(
new TaskConfig()
{

View File

@ -162,7 +162,7 @@ public class TaskLifecycleTest
new DefaultObjectMapper()
);
tr = new ExecutorServiceTaskRunner(
tr = new ThreadPoolTaskRunner(
tb,
Executors.newSingleThreadExecutor()
);

12
pom.xml
View File

@ -23,7 +23,7 @@
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<packaging>pom</packaging>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
<name>druid</name>
<description>druid</description>
<scm>
@ -214,16 +214,6 @@
<artifactId>jackson-jaxrs-json-provider</artifactId>
<version>2.1.4</version>
</dependency>
<dependency>
<groupId>org.codehaus.jackson</groupId>
<artifactId>jackson-core-asl</artifactId>
<version>1.9.11</version>
</dependency>
<dependency>
<groupId>org.codehaus.jackson</groupId>
<artifactId>jackson-mapper-asl</artifactId>
<version>1.9.11</version>
</dependency>
<dependency>
<groupId>javax.inject</groupId>
<artifactId>javax.inject</artifactId>

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -28,7 +28,7 @@
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>

View File

@ -20,6 +20,7 @@
package com.metamx.druid.coordination;
import com.google.common.base.Function;
import com.google.common.base.Predicates;
import com.google.common.collect.Ordering;
import com.metamx.common.ISE;
import com.metamx.common.guava.FunctionalIterable;
@ -257,6 +258,9 @@ public class ServerManager implements QuerySegmentWalker
);
}
}
)
.filter(
Predicates.<QueryRunner<T>>notNull()
);
return new FinalizeResultsQueryRunner<T>(toolChest.mergeResults(factory.mergeRunners(exec, adapters)), toolChest);

View File

@ -69,7 +69,7 @@ public class TestHelper
assertResult(failMsg, expectedNext, next);
assertResult(
String.format("%sSecond iterator bad, multiple calls to iterator() should be safe", failMsg),
String.format("%s: Second iterator bad, multiple calls to iterator() should be safe", failMsg),
expectedNext,
next2
);
@ -77,20 +77,20 @@ public class TestHelper
if (resultsIter.hasNext()) {
Assert.fail(
String.format("%sExpected resultsIter to be exhausted, next element was %s", failMsg, resultsIter.next())
String.format("%s: Expected resultsIter to be exhausted, next element was %s", failMsg, resultsIter.next())
);
}
if (resultsIter2.hasNext()) {
Assert.fail(
String.format("%sExpected resultsIter2 to be exhausted, next element was %s", failMsg, resultsIter.next())
String.format("%s: Expected resultsIter2 to be exhausted, next element was %s", failMsg, resultsIter.next())
);
}
if (expectedResultsIter.hasNext()) {
Assert.fail(
String.format(
"%sExpected expectedResultsIter to be exhausted, next element was %s", failMsg, expectedResultsIter.next()
"%s: Expected expectedResultsIter to be exhausted, next element was %s", failMsg, expectedResultsIter.next()
)
);
}
@ -109,7 +109,7 @@ public class TestHelper
Assert.assertEquals(failMsg, expectedNext, next);
Assert.assertEquals(
String.format("%sSecond iterator bad, multiple calls to iterator() should be safe", failMsg),
String.format("%s: Second iterator bad, multiple calls to iterator() should be safe", failMsg),
expectedNext,
next2
);
@ -117,20 +117,20 @@ public class TestHelper
if (resultsIter.hasNext()) {
Assert.fail(
String.format("%sExpected resultsIter to be exhausted, next element was %s", failMsg, resultsIter.next())
String.format("%s: Expected resultsIter to be exhausted, next element was %s", failMsg, resultsIter.next())
);
}
if (resultsIter2.hasNext()) {
Assert.fail(
String.format("%sExpected resultsIter2 to be exhausted, next element was %s", failMsg, resultsIter.next())
String.format("%s: Expected resultsIter2 to be exhausted, next element was %s", failMsg, resultsIter.next())
);
}
if (expectedResultsIter.hasNext()) {
Assert.fail(
String.format(
"%sExpected expectedResultsIter to be exhausted, next element was %s", failMsg, expectedResultsIter.next()
"%s: Expected expectedResultsIter to be exhausted, next element was %s", failMsg, expectedResultsIter.next()
)
);
}

View File

@ -22,9 +22,11 @@ package com.metamx.druid.query.group;
import com.google.common.base.Function;
import com.google.common.base.Preconditions;
import com.google.common.base.Supplier;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.Iterables;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Ordering;
import com.metamx.common.guava.Sequence;
import com.metamx.common.guava.Sequences;
import com.metamx.druid.PeriodGranularity;
@ -41,7 +43,12 @@ import com.metamx.druid.query.QueryRunner;
import com.metamx.druid.query.QueryRunnerTestHelper;
import com.metamx.druid.query.dimension.DefaultDimensionSpec;
import com.metamx.druid.query.dimension.DimensionSpec;
import com.metamx.druid.query.group.limit.OrderByColumnSpec;
import com.metamx.druid.query.group.having.EqualToHavingSpec;
import com.metamx.druid.query.group.having.GreaterThanHavingSpec;
import com.metamx.druid.query.group.having.OrHavingSpec;
import com.metamx.druid.query.group.orderby.DefaultLimitSpec;
import com.metamx.druid.query.group.orderby.LimitSpec;
import com.metamx.druid.query.group.orderby.OrderByColumnSpec;
import com.metamx.druid.query.segment.MultipleIntervalSegmentSpec;
import org.joda.time.DateTime;
import org.joda.time.DateTimeZone;
@ -56,6 +63,7 @@ import java.io.IOException;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.Collection;
import java.util.Comparator;
import java.util.List;
import java.util.Map;
@ -69,28 +77,30 @@ public class GroupByQueryRunnerTest
public static Collection<?> constructorFeeder() throws IOException
{
final GroupByQueryRunnerFactory factory = new GroupByQueryRunnerFactory(
new GroupByQueryEngine(
new GroupByQueryEngineConfig()
{
@Override
public int getMaxIntermediateRows()
{
return 10000;
}
},
new StupidPool<ByteBuffer>(
new Supplier<ByteBuffer>()
{
@Override
public ByteBuffer get()
{
return ByteBuffer.allocate(1024 * 1024);
}
}
)
),
new GroupByQueryRunnerFactoryConfig(){}
);
new GroupByQueryEngine(
new GroupByQueryEngineConfig()
{
@Override
public int getMaxIntermediateRows()
{
return 10000;
}
},
new StupidPool<ByteBuffer>(
new Supplier<ByteBuffer>()
{
@Override
public ByteBuffer get()
{
return ByteBuffer.allocate(1024 * 1024);
}
}
)
),
new GroupByQueryRunnerFactoryConfig()
{
}
);
return Lists.newArrayList(
Iterables.transform(
@ -106,13 +116,15 @@ public class GroupByQueryRunnerTest
);
}
public GroupByQueryRunnerTest(GroupByQueryRunnerFactory factory, QueryRunner runner) {
public GroupByQueryRunnerTest(GroupByQueryRunnerFactory factory, QueryRunner runner)
{
this.factory = factory;
this.runner = runner;
}
@Test
public void testGroupBy() {
public void testGroupBy()
{
GroupByQuery query = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
@ -127,35 +139,36 @@ public class GroupByQueryRunnerTest
.setGranularity(QueryRunnerTestHelper.dayGran)
.build();
List<Row> expectedResults = Arrays.asList(
createExpectedRow("2011-04-01", "alias", "automotive", "rows", 1L, "idx", 135L),
createExpectedRow("2011-04-01", "alias", "business", "rows", 1L, "idx", 118L),
createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 1L, "idx", 158L),
createExpectedRow("2011-04-01", "alias", "health", "rows", 1L, "idx", 120L),
createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2870L),
createExpectedRow("2011-04-01", "alias", "news", "rows", 1L, "idx", 121L),
createExpectedRow("2011-04-01", "alias", "premium", "rows", 3L, "idx", 2900L),
createExpectedRow("2011-04-01", "alias", "technology", "rows", 1L, "idx", 78L),
createExpectedRow("2011-04-01", "alias", "travel", "rows", 1L, "idx", 119L),
List<Row> expectedResults = Arrays.asList(
createExpectedRow("2011-04-01", "alias", "automotive", "rows", 1L, "idx", 135L),
createExpectedRow("2011-04-01", "alias", "business", "rows", 1L, "idx", 118L),
createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 1L, "idx", 158L),
createExpectedRow("2011-04-01", "alias", "health", "rows", 1L, "idx", 120L),
createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 3L, "idx", 2870L),
createExpectedRow("2011-04-01", "alias", "news", "rows", 1L, "idx", 121L),
createExpectedRow("2011-04-01", "alias", "premium", "rows", 3L, "idx", 2900L),
createExpectedRow("2011-04-01", "alias", "technology", "rows", 1L, "idx", 78L),
createExpectedRow("2011-04-01", "alias", "travel", "rows", 1L, "idx", 119L),
createExpectedRow("2011-04-02", "alias", "automotive", "rows", 1L, "idx", 147L),
createExpectedRow("2011-04-02", "alias", "business", "rows", 1L, "idx", 112L),
createExpectedRow("2011-04-02", "alias", "entertainment", "rows", 1L, "idx", 166L),
createExpectedRow("2011-04-02", "alias", "health", "rows", 1L, "idx", 113L),
createExpectedRow("2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2447L),
createExpectedRow("2011-04-02", "alias", "news", "rows", 1L, "idx", 114L),
createExpectedRow("2011-04-02", "alias", "premium", "rows", 3L, "idx", 2505L),
createExpectedRow("2011-04-02", "alias", "technology", "rows", 1L, "idx", 97L),
createExpectedRow("2011-04-02", "alias", "travel", "rows", 1L, "idx", 126L)
);
createExpectedRow("2011-04-02", "alias", "automotive", "rows", 1L, "idx", 147L),
createExpectedRow("2011-04-02", "alias", "business", "rows", 1L, "idx", 112L),
createExpectedRow("2011-04-02", "alias", "entertainment", "rows", 1L, "idx", 166L),
createExpectedRow("2011-04-02", "alias", "health", "rows", 1L, "idx", 113L),
createExpectedRow("2011-04-02", "alias", "mezzanine", "rows", 3L, "idx", 2447L),
createExpectedRow("2011-04-02", "alias", "news", "rows", 1L, "idx", 114L),
createExpectedRow("2011-04-02", "alias", "premium", "rows", 3L, "idx", 2505L),
createExpectedRow("2011-04-02", "alias", "technology", "rows", 1L, "idx", 97L),
createExpectedRow("2011-04-02", "alias", "travel", "rows", 1L, "idx", 126L)
);
Iterable<Row> results = Sequences.toList(runner.run(query), Lists.<Row>newArrayList());
Iterable<Row> results = Sequences.toList(runner.run(query), Lists.<Row>newArrayList());
TestHelper.assertExpectedObjects(expectedResults, results, "");
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
@Test
public void testGroupByWithTimeZone() {
public void testGroupByWithTimeZone()
{
DateTimeZone tz = DateTimeZone.forID("America/Los_Angeles");
GroupByQuery query = GroupByQuery.builder()
@ -187,38 +200,39 @@ public class GroupByQueryRunnerTest
)
.build();
List<Row> expectedResults = Arrays.asList(
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "automotive", "rows", 1L, "idx", 135L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "business", "rows", 1L, "idx", 118L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "entertainment", "rows", 1L, "idx", 158L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "health", "rows", 1L, "idx", 120L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "mezzanine", "rows", 3L, "idx", 2870L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "news", "rows", 1L, "idx", 121L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "premium", "rows", 3L, "idx", 2900L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "technology", "rows", 1L, "idx", 78L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "travel", "rows", 1L, "idx", 119L),
List<Row> expectedResults = Arrays.asList(
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "automotive", "rows", 1L, "idx", 135L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "business", "rows", 1L, "idx", 118L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "entertainment", "rows", 1L, "idx", 158L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "health", "rows", 1L, "idx", 120L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "mezzanine", "rows", 3L, "idx", 2870L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "news", "rows", 1L, "idx", 121L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "premium", "rows", 3L, "idx", 2900L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "technology", "rows", 1L, "idx", 78L),
createExpectedRow(new DateTime("2011-03-31", tz), "alias", "travel", "rows", 1L, "idx", 119L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "automotive", "rows", 1L, "idx", 147L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "business", "rows", 1L, "idx", 112L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "entertainment", "rows", 1L, "idx", 166L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "health", "rows", 1L, "idx", 113L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "mezzanine", "rows", 3L, "idx", 2447L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "news", "rows", 1L, "idx", 114L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "premium", "rows", 3L, "idx", 2505L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "technology", "rows", 1L, "idx", 97L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "travel", "rows", 1L, "idx", 126L)
);
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "automotive", "rows", 1L, "idx", 147L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "business", "rows", 1L, "idx", 112L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "entertainment", "rows", 1L, "idx", 166L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "health", "rows", 1L, "idx", 113L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "mezzanine", "rows", 3L, "idx", 2447L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "news", "rows", 1L, "idx", 114L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "premium", "rows", 3L, "idx", 2505L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "technology", "rows", 1L, "idx", 97L),
createExpectedRow(new DateTime("2011-04-01", tz), "alias", "travel", "rows", 1L, "idx", 126L)
);
Iterable<Row> results = Sequences.toList(
runner.run(query),
Lists.<Row>newArrayList()
);
Iterable<Row> results = Sequences.toList(
runner.run(query),
Lists.<Row>newArrayList()
);
TestHelper.assertExpectedObjects(expectedResults, results, "");
TestHelper.assertExpectedObjects(expectedResults, results, "");
}
@Test
public void testMergeResults() {
public void testMergeResults()
{
GroupByQuery.Builder builder = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
@ -282,7 +296,170 @@ public class GroupByQueryRunnerTest
TestHelper.assertExpectedObjects(allGranExpectedResults, runner.run(allGranQuery), "direct");
TestHelper.assertExpectedObjects(allGranExpectedResults, mergedRunner.run(allGranQuery), "merged");
}
@Test
public void testMergeResultsWithLimit()
{
for (int limit = 1; limit < 20; ++limit) {
doTestMergeResultsWithValidLimit(limit);
}
}
private void doTestMergeResultsWithValidLimit(final int limit)
{
GroupByQuery.Builder builder = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
.setInterval("2011-04-02/2011-04-04")
.setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias")))
.setAggregatorSpecs(
Arrays.<AggregatorFactory>asList(
QueryRunnerTestHelper.rowsCount,
new LongSumAggregatorFactory("idx", "index")
)
)
.setGranularity(new PeriodGranularity(new Period("P1M"), null, null))
.setLimit(Integer.valueOf(limit));
final GroupByQuery fullQuery = builder.build();
List<Row> expectedResults = Arrays.asList(
createExpectedRow("2011-04-01", "alias", "automotive", "rows", 2L, "idx", 269L),
createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L),
createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 2L, "idx", 319L),
createExpectedRow("2011-04-01", "alias", "health", "rows", 2L, "idx", 216L),
createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L),
createExpectedRow("2011-04-01", "alias", "news", "rows", 2L, "idx", 221L),
createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L),
createExpectedRow("2011-04-01", "alias", "technology", "rows", 2L, "idx", 177L),
createExpectedRow("2011-04-01", "alias", "travel", "rows", 2L, "idx", 243L)
);
QueryRunner<Row> mergeRunner = new GroupByQueryQueryToolChest().mergeResults(runner);
TestHelper.assertExpectedObjects(
Iterables.limit(expectedResults, limit), mergeRunner.run(fullQuery), String.format("limit: %d", limit)
);
}
@Test(expected = IllegalArgumentException.class)
public void testMergeResultsWithNegativeLimit()
{
GroupByQuery.Builder builder = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
.setInterval("2011-04-02/2011-04-04")
.setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias")))
.setAggregatorSpecs(
Arrays.<AggregatorFactory>asList(
QueryRunnerTestHelper.rowsCount,
new LongSumAggregatorFactory("idx", "index")
)
)
.setGranularity(new PeriodGranularity(new Period("P1M"), null, null))
.setLimit(Integer.valueOf(-1));
builder.build();
}
@Test
public void testMergeResultsWithOrderBy()
{
LimitSpec[] orderBySpecs = new LimitSpec[]{
new DefaultLimitSpec(OrderByColumnSpec.ascending("idx"), null),
new DefaultLimitSpec(OrderByColumnSpec.ascending("rows", "idx"), null),
new DefaultLimitSpec(OrderByColumnSpec.descending("idx"), null),
new DefaultLimitSpec(OrderByColumnSpec.descending("rows", "idx"), null),
};
final Comparator<Row> idxComparator =
new Comparator<Row>()
{
@Override
public int compare(Row o1, Row o2)
{
return Float.compare(o1.getFloatMetric("idx"), o2.getFloatMetric("idx"));
}
};
Comparator<Row> rowsIdxComparator =
new Comparator<Row>()
{
@Override
public int compare(Row o1, Row o2)
{
int value = Float.compare(o1.getFloatMetric("rows"), o2.getFloatMetric("rows"));
if (value != 0) {
return value;
}
return idxComparator.compare(o1, o2);
}
};
List<Row> allResults = Arrays.asList(
createExpectedRow("2011-04-01", "alias", "automotive", "rows", 2L, "idx", 269L),
createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L),
createExpectedRow("2011-04-01", "alias", "entertainment", "rows", 2L, "idx", 319L),
createExpectedRow("2011-04-01", "alias", "health", "rows", 2L, "idx", 216L),
createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L),
createExpectedRow("2011-04-01", "alias", "news", "rows", 2L, "idx", 221L),
createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L),
createExpectedRow("2011-04-01", "alias", "technology", "rows", 2L, "idx", 177L),
createExpectedRow("2011-04-01", "alias", "travel", "rows", 2L, "idx", 243L)
);
List<List<Row>> expectedResults = Lists.newArrayList(
Ordering.from(idxComparator).sortedCopy(allResults),
Ordering.from(rowsIdxComparator).sortedCopy(allResults),
Ordering.from(idxComparator).reverse().sortedCopy(allResults),
Ordering.from(rowsIdxComparator).reverse().sortedCopy(allResults)
);
for (int i = 0; i < orderBySpecs.length; ++i) {
doTestMergeResultsWithOrderBy(orderBySpecs[i], expectedResults.get(i));
}
}
private void doTestMergeResultsWithOrderBy(LimitSpec orderBySpec, List<Row> expectedResults)
{
GroupByQuery.Builder builder = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
.setInterval("2011-04-02/2011-04-04")
.setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias")))
.setAggregatorSpecs(
Arrays.<AggregatorFactory>asList(
QueryRunnerTestHelper.rowsCount,
new LongSumAggregatorFactory("idx", "index")
)
)
.setGranularity(new PeriodGranularity(new Period("P1M"), null, null))
.setLimitSpec(orderBySpec);
final GroupByQuery fullQuery = builder.build();
QueryRunner mergedRunner = new GroupByQueryQueryToolChest().mergeResults(
new QueryRunner<Row>()
{
@Override
public Sequence run(Query<Row> query)
{
// simulate two daily segments
final Query query1 = query.withQuerySegmentSpec(
new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-02/2011-04-03")))
);
final Query query2 = query.withQuerySegmentSpec(
new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-03/2011-04-04")))
);
return Sequences.concat(runner.run(query1), runner.run(query2));
}
}
);
TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(fullQuery), "merged");
}
@Test
@ -403,6 +580,59 @@ public class GroupByQueryRunnerTest
);
}
@Test
public void testHavingSpec()
{
List<Row> expectedResults = Arrays.asList(
createExpectedRow("2011-04-01", "alias", "business", "rows", 2L, "idx", 217L),
createExpectedRow("2011-04-01", "alias", "mezzanine", "rows", 6L, "idx", 4420L),
createExpectedRow("2011-04-01", "alias", "premium", "rows", 6L, "idx", 4416L)
);
GroupByQuery.Builder builder = GroupByQuery
.builder()
.setDataSource(QueryRunnerTestHelper.dataSource)
.setInterval("2011-04-02/2011-04-04")
.setDimensions(Lists.<DimensionSpec>newArrayList(new DefaultDimensionSpec("quality", "alias")))
.setAggregatorSpecs(
Arrays.<AggregatorFactory>asList(
QueryRunnerTestHelper.rowsCount,
new LongSumAggregatorFactory("idx", "index")
)
)
.setGranularity(new PeriodGranularity(new Period("P1M"), null, null))
.setHavingSpec(
new OrHavingSpec(
ImmutableList.of(
new GreaterThanHavingSpec("rows", 2L),
new EqualToHavingSpec("idx", 217L)
)
)
);
final GroupByQuery fullQuery = builder.build();
QueryRunner mergedRunner = new GroupByQueryQueryToolChest().mergeResults(
new QueryRunner<Row>()
{
@Override
public Sequence run(Query<Row> query)
{
// simulate two daily segments
final Query query1 = query.withQuerySegmentSpec(
new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-02/2011-04-03")))
);
final Query query2 = query.withQuerySegmentSpec(
new MultipleIntervalSegmentSpec(Lists.newArrayList(new Interval("2011-04-03/2011-04-04")))
);
return Sequences.concat(runner.run(query1), runner.run(query2));
}
}
);
TestHelper.assertExpectedObjects(expectedResults, mergedRunner.run(fullQuery), "merged");
}
private Row createExpectedRow(final String timestamp, Object... vals)
{
return createExpectedRow(new DateTime(timestamp), vals);
@ -413,10 +643,10 @@ public class GroupByQueryRunnerTest
Preconditions.checkArgument(vals.length % 2 == 0);
Map<String, Object> theVals = Maps.newHashMap();
for (int i = 0; i < vals.length; i+=2) {
theVals.put(vals[i].toString(), vals[i+1]);
for (int i = 0; i < vals.length; i += 2) {
theVals.put(vals[i].toString(), vals[i + 1]);
}
return new MapBasedRow(timestamp, theVals);
return new MapBasedRow(new DateTime(timestamp), theVals);
}
}

View File

@ -24,11 +24,11 @@
<artifactId>druid-services</artifactId>
<name>druid-services</name>
<description>druid-services</description>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
<parent>
<groupId>com.metamx</groupId>
<artifactId>druid</artifactId>
<version>0.4.9-SNAPSHOT</version>
<version>0.4.15-SNAPSHOT</version>
</parent>
<dependencies>