[DOCS] Add token graph concept docs (#53339)
Adds conceptual docs for token graphs. These docs cover: * How a token graph is constructed from a token stream * How synonyms and multi-position tokens impact token graphs * How token graphs are used during search * Why some token filters produce invalid token graphs Also makes the following supporting changes: * Adds anchors to the 'Anatomy of an Analyzer' docs for cross-linking * Adds several SVGs for token graph diagrams
This commit is contained in:
James Rodewig
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@ -10,6 +10,7 @@ blocks into analyzers suitable for different languages and types of text.
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Elasticsearch also exposes the individual building blocks so that they can be
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combined to define new <<analysis-custom-analyzer,`custom`>> analyzers.
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[[analyzer-anatomy-character-filters]]
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==== Character filters
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A _character filter_ receives the original text as a stream of characters and
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@ -21,6 +22,7 @@ elements like `<b>` from the stream.
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An analyzer may have *zero or more* <<analysis-charfilters,character filters>>,
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which are applied in order.
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[[analyzer-anatomy-tokenizer]]
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==== Tokenizer
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A _tokenizer_ receives a stream of characters, breaks it up into individual
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@ -35,6 +37,7 @@ the term represents.
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An analyzer must have *exactly one* <<analysis-tokenizers,tokenizer>>.
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[[analyzer-anatomy-token-filters]]
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==== Token filters
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A _token filter_ receives the token stream and may add, remove, or change
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@ -8,6 +8,8 @@ This section explains the fundamental concepts of text analysis in {es}.
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* <<analyzer-anatomy>>
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* <<analysis-index-search-time>>
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* <<token-graphs>>
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include::anatomy.asciidoc[]
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include::index-search-time.asciidoc[]
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include::index-search-time.asciidoc[]
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include::token-graphs.asciidoc[]
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@ -0,0 +1,104 @@
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[[token-graphs]]
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=== Token graphs
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When a <<analyzer-anatomy-tokenizer,tokenizer>> converts a text into a stream of
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tokens, it also records the following:
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* The `position` of each token in the stream
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* The `positionLength`, the number of positions that a token spans
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Using these, you can create a
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https://en.wikipedia.org/wiki/Directed_acyclic_graph[directed acyclic graph],
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called a _token graph_, for a stream. In a token graph, each position represents
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a node. Each token represents an edge or arc, pointing to the next position.
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image::images/analysis/token-graph-qbf-ex.svg[align="center"]
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[[token-graphs-synonyms]]
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==== Synonyms
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Some <<analyzer-anatomy-token-filters,token filters>> can add new tokens, like
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synonyms, to an existing token stream. These synonyms often span the same
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positions as existing tokens.
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In the following graph, `quick` and its synonym `fast` both have a position of
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`0`. They span the same positions.
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image::images/analysis/token-graph-qbf-synonym-ex.svg[align="center"]
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[[token-graphs-multi-position-tokens]]
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==== Multi-position tokens
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Some token filters can add tokens that span multiple positions. These can
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include tokens for multi-word synonyms, such as using "atm" as a synonym for
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"automatic teller machine."
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However, only some token filters, known as _graph token filters_, accurately
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record the `positionLength` for multi-position tokens. This filters include:
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* <<analysis-synonym-graph-tokenfilter,`synonym_graph`>>
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* <<analysis-word-delimiter-graph-tokenfilter,`word_delimiter_graph`>>
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In the following graph, `domain name system` and its synonym, `dns`, both have a
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position of `0`. However, `dns` has a `positionLength` of `3`. Other tokens in
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the graph have a default `positionLength` of `1`.
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image::images/analysis/token-graph-dns-synonym-ex.svg[align="center"]
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[[token-graphs-token-graphs-search]]
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===== Using token graphs for search
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<<analysis-index-search-time,Indexing>> ignores the `positionLength` attribute
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and does not support token graphs containing multi-position tokens.
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However, queries, such as the <<query-dsl-match-query,`match`>> or
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<<query-dsl-match-query-phrase,`match_phrase`>> query, can use these graphs to
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generate multiple sub-queries from a single query string.
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.*Example*
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[%collapsible]
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====
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A user runs a search for the following phrase using the `match_phrase` query:
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`domain name system is fragile`
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During <<analysis-index-search-time,search analysis>>, `dns`, a synonym for
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`domain name system`, is added to the query string's token stream. The `dns`
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token has a `positionLength` of `3`.
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image::images/analysis/token-graph-dns-synonym-ex.svg[align="center"]
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The `match_phrase` query uses this graph to generate sub-queries for the
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following phrases:
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[source,text]
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------
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dns is fragile
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domain name system is fragile
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------
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This means the query matches documents containing either `dns is fragile` _or_
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`domain name system is fragile`.
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====
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[[token-graphs-invalid-token-graphs]]
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===== Invalid token graphs
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The following token filters can add tokens that span multiple positions but
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only record a default `positionLength` of `1`:
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* <<analysis-synonym-tokenfilter,`synonym`>>
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* <<analysis-word-delimiter-tokenfilter,`word_delimiter`>>
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This means these filters will produce invalid token graphs for streams
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containing such tokens.
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In the following graph, `dns` is a multi-position synonym for `domain name
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system`. However, `dns` has the default `positionLength` value of `1`, resulting
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in an invalid graph.
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image::images/analysis/token-graph-dns-invalid-ex.svg[align="center"]
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Avoid using invalid token graphs for search. Invalid graphs can cause unexpected
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search results.
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@ -8,8 +8,8 @@ The `synonym_graph` token filter allows to easily handle synonyms,
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including multi-word synonyms correctly during the analysis process.
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In order to properly handle multi-word synonyms this token filter
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creates a "graph token stream" during processing. For more information
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on this topic and its various complexities, please read the
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creates a <<token-graphs,graph token stream>> during processing. For more
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information on this topic and its various complexities, please read the
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http://blog.mikemccandless.com/2012/04/lucenes-tokenstreams-are-actually.html[Lucene's TokenStreams are actually graphs] blog post.
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["NOTE",id="synonym-graph-index-note"]
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@ -440,8 +440,8 @@ that span multiple positions when any of the following parameters are `true`:
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However, only the `word_delimiter_graph` filter assigns multi-position tokens a
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`positionLength` attribute, which indicates the number of positions a token
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spans. This ensures the `word_delimiter_graph` filter always produces valid token
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https://en.wikipedia.org/wiki/Directed_acyclic_graph[graphs].
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spans. This ensures the `word_delimiter_graph` filter always produces valid
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<<token-graphs,token graphs>>.
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The `word_delimiter` filter does not assign multi-position tokens a
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`positionLength` attribute. This means it produces invalid graphs for streams
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Reference in New Issue