156 lines
4.7 KiB
Plaintext
156 lines
4.7 KiB
Plaintext
[[shard-request-cache]]
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=== Shard request cache
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When a search request is run against an index or against many indices, each
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involved shard executes the search locally and returns its local results to
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the _coordinating node_, which combines these shard-level results into a
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``global'' result set.
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The shard-level request cache module caches the local results on each shard.
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This allows frequently used (and potentially heavy) search requests to return
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results almost instantly. The requests cache is a very good fit for the logging
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use case, where only the most recent index is being actively updated --
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results from older indices will be served directly from the cache.
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[IMPORTANT]
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===================================
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By default, the requests cache will only cache the results of search requests
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where `size=0`, so it will not cache `hits`,
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but it will cache `hits.total`, <<search-aggregations,aggregations>>, and
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<<search-suggesters,suggestions>>.
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Most queries that use `now` (see <<date-math>>) cannot be cached.
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===================================
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[float]
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==== Cache invalidation
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The cache is smart -- it keeps the same _near real-time_ promise as uncached
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search.
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Cached results are invalidated automatically whenever the shard refreshes, but
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only if the data in the shard has actually changed. In other words, you will
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always get the same results from the cache as you would for an uncached search
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request.
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The longer the refresh interval, the longer that cached entries will remain
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valid. If the cache is full, the least recently used cache keys will be
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evicted.
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The cache can be expired manually with the <<indices-clearcache,`clear-cache` API>>:
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[source,js]
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------------------------
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POST /kimchy,elasticsearch/_cache/clear?request=true
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------------------------
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// CONSOLE
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// TEST[s/^/PUT kimchy\nPUT elasticsearch\n/]
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[float]
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==== Enabling and disabling caching
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The cache is enabled by default, but can be disabled when creating a new
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index as follows:
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[source,js]
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-----------------------------
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PUT /my_index?include_type_name=true
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{
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"settings": {
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"index.requests.cache.enable": false
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}
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}
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-----------------------------
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// CONSOLE
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It can also be enabled or disabled dynamically on an existing index with the
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<<indices-update-settings,`update-settings`>> API:
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[source,js]
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-----------------------------
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PUT /my_index/_settings
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{ "index.requests.cache.enable": true }
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-----------------------------
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// CONSOLE
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// TEST[continued]
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[float]
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==== Enabling and disabling caching per request
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The `request_cache` query-string parameter can be used to enable or disable
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caching on a *per-request* basis. If set, it overrides the index-level setting:
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[source,js]
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-----------------------------
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GET /my_index/_search?request_cache=true
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{
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"size": 0,
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"aggs": {
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"popular_colors": {
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"terms": {
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"field": "colors"
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}
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}
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}
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}
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-----------------------------
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// CONSOLE
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// TEST[continued]
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IMPORTANT: If your query uses a script whose result is not deterministic (e.g.
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it uses a random function or references the current time) you should set the
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`request_cache` flag to `false` to disable caching for that request.
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Requests where `size` is greater than 0 will not be cached even if the request cache is
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enabled in the index settings. To cache these requests you will need to use the
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query-string parameter detailed here.
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[float]
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==== Cache key
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The whole JSON body is used as the cache key. This means that if the JSON
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changes -- for instance if keys are output in a different order -- then the
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cache key will not be recognised.
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TIP: Most JSON libraries support a _canonical_ mode which ensures that JSON
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keys are always emitted in the same order. This canonical mode can be used in
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the application to ensure that a request is always serialized in the same way.
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[float]
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==== Cache settings
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The cache is managed at the node level, and has a default maximum size of `1%`
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of the heap. This can be changed in the `config/elasticsearch.yml` file with:
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[source,yaml]
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--------------------------------
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indices.requests.cache.size: 2%
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--------------------------------
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Also, you can use the +indices.requests.cache.expire+ setting to specify a TTL
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for cached results, but there should be no reason to do so. Remember that
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stale results are automatically invalidated when the index is refreshed. This
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setting is provided for completeness' sake only.
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[float]
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==== Monitoring cache usage
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The size of the cache (in bytes) and the number of evictions can be viewed
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by index, with the <<indices-stats,`indices-stats`>> API:
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[source,js]
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------------------------
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GET /_stats/request_cache?human
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------------------------
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// CONSOLE
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or by node with the <<cluster-nodes-stats,`nodes-stats`>> API:
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[source,js]
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------------------------
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GET /_nodes/stats/indices/request_cache?human
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------------------------
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// CONSOLE
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