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* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
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/**
* <h2>Monitoring framework</h2>
*
* This package contains classes to allow the monitoring of a stream of
* documents with a set of queries.
*
* To use, instantiate a {@link org.apache.lucene.monitor.Monitor} object,
* register queries with it via
* {@link org.apache.lucene.monitor.Monitor#register(org.apache.lucene.monitor.MonitorQuery...)},
* and then match documents against it either individually via
* {@link org.apache.lucene.monitor.Monitor#match(org.apache.lucene.document.Document, org.apache.lucene.monitor.MatcherFactory)}
* or in batches via
* {@link org.apache.lucene.monitor.Monitor#match(org.apache.lucene.document.Document[], org.apache.lucene.monitor.MatcherFactory)}
*
* <h3>Matcher types</h3>
*
* A number of matcher types are included:
* <ul>
* <li>{@link org.apache.lucene.monitor.QueryMatch#SIMPLE_MATCHER} &mdash; just returns the set of query ids that a Document has matched</li>
* <li>{@link org.apache.lucene.monitor.ScoringMatch#matchWithSimilarity(org.apache.lucene.search.similarities.Similarity)}
* &mdash; returns the set of matching queries, with the score that each one records against a Document</li>
* <li>{@link org.apache.lucene.monitor.ExplainingMatch#MATCHER &mdash; similar to ScoringMatch, but include the full Explanation}</li>
* <li>{@link org.apache.lucene.monitor.HighlightsMatch#MATCHER &mdash; return the matching queries along with the matching terms for each query}</li>
* </ul>
*
* Matchers can be wrapped in {@link org.apache.lucene.monitor.PartitionMatcher} or {@link org.apache.lucene.monitor.ParallelMatcher} to increase
* performance in low-concurrency systems.
*
* <h3>Pre-filtering of queries</h3>
*
* Monitoring is done efficiently by extracting minimal sets of terms from queries, and using these
* to build a query index. When a document is passed to
* {@link org.apache.lucene.monitor.Monitor#match(org.apache.lucene.document.Document, org.apache.lucene.monitor.MatcherFactory)},
* it is converted into a small index, and the terms dictionary from that index is then used to build
* a disjunction query to run against the query index. Queries that match this disjunction are then run
* against the document. In this way, the Monitor can avoid running queries that have no chance of
* matching. The process of extracting terms and building document disjunctions is handled by a
* {@link org.apache.lucene.monitor.Presearcher}
*
* In addition, extra per-field filtering can be specified by passing a set of keyword fields to
* filter on. When queries are registered with the monitor, field-value pairs can be added as
* optional metadata for each query, and these can then be used to restrict which queries a
* document is checked against. For example, you can specify a language that each query should
* apply to, and documents containing a value in their language field would only be checked against
* queries that have that same value in their language metadata. Note that when matching documents
* in batches, all documents in the batch must have the same values in their filter fields.
*
* Query analysis uses the {@link org.apache.lucene.search.QueryVisitor} API to extract terms, which will work
* for all basic term-based queries shipped with Lucene. The analyzer builds a representation of the query
* called a {@link org.apache.lucene.monitor.QueryTree}, and then selects a minimal set of terms, one of which
* must be present in a document for that document to match. Individual terms are weighted using a
* {@link org.apache.lucene.monitor.TermWeightor}, which allows some selectivity when building the term set.
* For example, given a conjunction of terms (a boolean query with several MUST clauses, or a phrase, span or interval
* query), we need only extract one term. The TermWeightor can be configured in a number of ways; by default
* it will weight longer terms more highly.
*
* For query sets that contain many conjunctions, it can be useful to extract and index different
* minimal term combinations. For example, a phrase query on 'the quick brown fox' could index
* both 'quick' and 'brown', and avoid being run against documents that contain only one of these
* terms. The {@link org.apache.lucene.monitor.MultipassTermFilteredPresearcher} allows this sort
* of indexing, taking a minimum term weight so that very common terms such as 'the' can be avoided.
*
* Custom Query implementations that are based on term matching, and that implement
* {@link org.apache.lucene.search.Query#visit(org.apache.lucene.search.QueryVisitor)} will work with no
* extra configuration; for more complicated custom queries, you can register a
* {@link org.apache.lucene.monitor.CustomQueryHandler} with the presearcher. Included in this package
* is a {@link org.apache.lucene.monitor.RegexpQueryHandler}, which gives an example of a different method
* of indexing automaton-based queries by extracting fixed substrings from a regular expression, and then
* using ngram filtering to build the document disjunction.
*
* <h3>Persistent query sets</h3>
*
* By default, {@link org.apache.lucene.monitor.Monitor} instances are ephemeral, storing their query
* indexes in memory. To make a persistent monitor, build a {@link org.apache.lucene.monitor.MonitorConfiguration}
* object and call {@link org.apache.lucene.monitor.MonitorConfiguration#setIndexPath(java.nio.file.Path, org.apache.lucene.monitor.MonitorQuerySerializer)}
* to tell the Monitor to store its query index on disk. All queries registered with this Monitor will
* need to have a string representation that is also stored, and can be re-parsed by the associated
* {@link org.apache.lucene.monitor.MonitorQuerySerializer} when the index is loaded by a new Monitor
* instance.
*/
package org.apache.lucene.monitor;