org.apache.solr.client.solrj.io.stream

类 FacetStream

java.lang.Object

org.apache.solr.client.solrj.io.stream.TupleStream

org.apache.solr.client.solrj.io.stream.FacetStream

所有已实现的接口:

Closeable, Serializable, AutoCloseable, Expressible, ParallelMetricsRollup, MapSerializable, MapWriter, NavigableObject

public class FacetStream
extends TupleStream
implements Expressible, ParallelMetricsRollup

The FacetStream abstracts the output from the JSON facet API as a Stream of Tuples. This provides an alternative to the RollupStream which uses Map/Reduce to perform aggregations.

从以下版本开始:

6.0.0

另请参阅:

序列化表格

嵌套类概要

从类继承的嵌套类/接口 org.apache.solr.client.solrj.io.stream.TupleStream

TupleStream.IgnoreException

从接口继承的嵌套类/接口 org.apache.solr.common.MapWriter

MapWriter.EntryWriter

字段概要

字段

限定符和类型	字段和说明
protected SolrClientCache	cache
protected CloudSolrClient	cloudSolrClient
protected StreamContext	context
protected TupleStream	parallelizedStream

构造器概要

构造器

构造器和说明
FacetStream(StreamExpression expression, StreamFactory factory)
FacetStream(String zkHost, String collection, SolrParams params, Bucket[] buckets, Metric[] metrics, FieldComparator[] bucketSorts, int bucketSizeLimit)

方法概要

限定符和类型	方法和说明
List<TupleStream>	children()
void	close()
Bucket[]	getBuckets()
int	getBucketSizeLimit()
String	getCollection()
int	getCost()
int	getOffset()
int	getOverfetch()
protected Map<String,String>	getRollupSelectFields(Metric[] rollupMetrics) The projection of dimensions and metrics from the rollup stream.
int	getRows()
TupleStream	getSortedRollupStream(ParallelListStream plist, Metric[] rollupMetrics) Get the rollup for the parallelized streams that is sorted based on the original (non-parallel) sort order.
StreamComparator	getStreamSort()
void	open()
TupleStream[]	parallelize(List<String> partitions) Given a list of collections, return an array of TupleStream for each partition.
Tuple	read()
void	setStreamContext(StreamContext context)
Explanation	toExplanation(StreamFactory factory) Returns an explanation about the stream object
StreamExpressionParameter	toExpression(StreamFactory factory)

从类继承的方法 org.apache.solr.client.solrj.io.stream.TupleStream

getShards, getShards, getStreamNodeId, writeMap

从类继承的方法 java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

从接口继承的方法 org.apache.solr.client.solrj.io.stream.ParallelMetricsRollup

getRollupMetrics, openParallelStream

从接口继承的方法 org.apache.solr.common.MapWriter

jsonStr, toMap

从接口继承的方法 org.apache.solr.common.NavigableObject

_forEachEntry, _forEachEntry, _forEachEntry, _get, _get, _getStr, _getStr, _size

字段详细资料

cache

protected transient SolrClientCache cache

cloudSolrClient

protected transient CloudSolrClient cloudSolrClient

parallelizedStream

protected transient TupleStream parallelizedStream

context

protected transient StreamContext context

构造器详细资料

FacetStream

public FacetStream(String zkHost,
                   String collection,
                   SolrParams params,
                   Bucket[] buckets,
                   Metric[] metrics,
                   FieldComparator[] bucketSorts,
                   int bucketSizeLimit)
            throws IOException

抛出:

IOException

FacetStream

public FacetStream(StreamExpression expression,
                   StreamFactory factory)
            throws IOException

抛出:

IOException

方法详细资料

getBucketSizeLimit

public int getBucketSizeLimit()

getRows

public int getRows()

getOffset

public int getOffset()

getOverfetch

public int getOverfetch()

getBuckets

public Bucket[] getBuckets()

getCollection

public String getCollection()

toExpression

public StreamExpressionParameter toExpression(StreamFactory factory)
                                       throws IOException

指定者:

toExpression 在接口中 Expressible

抛出:

IOException

toExplanation

public Explanation toExplanation(StreamFactory factory)
                          throws IOException

从接口复制的说明: Expressible

Returns an explanation about the stream object

指定者:

toExplanation 在接口中 Expressible

指定者:

toExplanation 在类中 TupleStream

参数:

factory - Stream factory for this, contains information about the function name

返回:

Explanation about this stream object containing explanations of any child stream objects

抛出:

IOException - throw on any error

setStreamContext

public void setStreamContext(StreamContext context)

指定者:

setStreamContext 在类中 TupleStream

children

public List<TupleStream> children()

指定者:

children 在类中 TupleStream

open

public void open()
          throws IOException

指定者:

open 在类中 TupleStream

抛出:

IOException

close

public void close()
           throws IOException

指定者:

close 在接口中 Closeable

指定者:

close 在接口中 AutoCloseable

指定者:

close 在类中 TupleStream

抛出:

IOException

read

public Tuple read()
           throws IOException

指定者:

read 在类中 TupleStream

抛出:

IOException

getCost

public int getCost()

覆盖:

getCost 在类中 TupleStream

getStreamSort

public StreamComparator getStreamSort()

指定者:

getStreamSort 在类中 TupleStream

parallelize

public TupleStream[] parallelize(List<String> partitions)
                          throws IOException

从接口复制的说明: ParallelMetricsRollup

Given a list of collections, return an array of TupleStream for each partition.

指定者:

parallelize 在接口中 ParallelMetricsRollup

参数:

partitions - A list of collections to parallelize metrics computation across.

返回:

An array of TupleStream for each partition requested.

抛出:

IOException - if an error occurs while constructing the underlying TupleStream for a partition.

getSortedRollupStream

public TupleStream getSortedRollupStream(ParallelListStream plist,
                                         Metric[] rollupMetrics)
                                  throws IOException

从接口复制的说明: ParallelMetricsRollup

Get the rollup for the parallelized streams that is sorted based on the original (non-parallel) sort order.

指定者:

getSortedRollupStream 在接口中 ParallelMetricsRollup

参数:

plist - A parallel list stream to fetch metrics from each partition concurrently

rollupMetrics - An array of metrics to rollup

返回:

A rollup over parallelized streams that provide metrics; this is typically a SortStream.

抛出:

IOException - if an error occurs while reading from the sorted stream

getRollupSelectFields

protected Map<String,String> getRollupSelectFields(Metric[] rollupMetrics)

The projection of dimensions and metrics from the rollup stream.

参数:

rollupMetrics - The metrics being rolled up.

返回:

A mapping of fields produced by the rollup stream to their output name.