[[modules-scripting-painless]] === Painless Scripting Language experimental[The Painless scripting language is new and is still marked as experimental. The syntax or API may be changed in the future in non-backwards compatible ways if required.] _Painless_ is a simple, secure scripting language available in Elasticsearch by default. It is designed specifically for use with Elasticsearch and can safely be used with `inline` and `stored` scripting, which is enabled by default. The Painless syntax is similar to http://groovy-lang.org/index.html[Groovy]. You can use Painless anywhere a script can be used in Elasticsearch. It is the default if you don't set the `lang` parameter but if you want to be explicit you can set the `lang` parameter to `painless`. [[painless-features]] [float] == Painless Features * Fast performance: https://benchmarks.elastic.co/index.html#search_qps_scripts[several times faster] than the alternatives. * Safety: Fine-grained whitelist with method call/field granularity. See <> for a complete list of available classes and methods. * Optional typing: Variables and parameters can use explicit types or the dynamic `def` type. * Syntax: Extends Java's syntax with a subset of Groovy for ease of use. See the <>. * Optimizations: Designed specifically for Elasticsearch scripting. [[painless-examples]] [float] == Painless Examples To illustrate how Painless works, let's load some hockey stats into an Elasticsearch index: [source,js] ---------------------------------------------------------------- PUT hockey/player/_bulk?refresh {"index":{"_id":1}} {"first":"johnny","last":"gaudreau","goals":[9,27,1],"assists":[17,46,0],"gp":[26,82,1],"born":"1993/08/13"} {"index":{"_id":2}} {"first":"sean","last":"monohan","goals":[7,54,26],"assists":[11,26,13],"gp":[26,82,82],"born":"1994/10/12"} {"index":{"_id":3}} {"first":"jiri","last":"hudler","goals":[5,34,36],"assists":[11,62,42],"gp":[24,80,79],"born":"1984/01/04"} {"index":{"_id":4}} {"first":"micheal","last":"frolik","goals":[4,6,15],"assists":[8,23,15],"gp":[26,82,82],"born":"1988/02/17"} {"index":{"_id":5}} {"first":"sam","last":"bennett","goals":[5,0,0],"assists":[8,1,0],"gp":[26,1,0],"born":"1996/06/20"} {"index":{"_id":6}} {"first":"dennis","last":"wideman","goals":[0,26,15],"assists":[11,30,24],"gp":[26,81,82],"born":"1983/03/20"} {"index":{"_id":7}} {"first":"david","last":"jones","goals":[7,19,5],"assists":[3,17,4],"gp":[26,45,34],"born":"1984/08/10"} {"index":{"_id":8}} {"first":"tj","last":"brodie","goals":[2,14,7],"assists":[8,42,30],"gp":[26,82,82],"born":"1990/06/07"} {"index":{"_id":39}} {"first":"mark","last":"giordano","goals":[6,30,15],"assists":[3,30,24],"gp":[26,60,63],"born":"1983/10/03"} {"index":{"_id":10}} {"first":"mikael","last":"backlund","goals":[3,15,13],"assists":[6,24,18],"gp":[26,82,82],"born":"1989/03/17"} {"index":{"_id":11}} {"first":"joe","last":"colborne","goals":[3,18,13],"assists":[6,20,24],"gp":[26,67,82],"born":"1990/01/30"} ---------------------------------------------------------------- // CONSOLE // TESTSETUP [float] === Accessing Doc Values from Painless Document values can be accessed from a `Map` named `doc`. For example, the following script calculates a player's total goals. This example uses a strongly typed `int` and a `for` loop. [source,js] ---------------------------------------------------------------- GET hockey/_search { "query": { "function_score": { "script_score": { "script": { "lang": "painless", "inline": "int total = 0; for (int i = 0; i < doc['goals'].length; ++i) { total += doc['goals'][i]; } return total;" } } } } } ---------------------------------------------------------------- // CONSOLE Alternatively, you could do the same thing using a script field instead of a function score: [source,js] ---------------------------------------------------------------- GET hockey/_search { "query": { "match_all": {} }, "script_fields": { "total_goals": { "script": { "lang": "painless", "inline": "int total = 0; for (int i = 0; i < doc['goals'].length; ++i) { total += doc['goals'][i]; } return total;" } } } } ---------------------------------------------------------------- // CONSOLE The following example uses a Painless script to sort the players by their combined first and last names. The names are accessed using `doc['first'].value` and `doc['last'].value`. [source,js] ---------------------------------------------------------------- GET hockey/_search { "query": { "match_all": {} }, "sort": { "_script": { "type": "string", "order": "asc", "script": { "lang": "painless", "inline": "doc['first.keyword'].value + ' ' + doc['last.keyword'].value" } } } } ---------------------------------------------------------------- // CONSOLE [float] === Updating Fields with Painless You can also easily update fields. You access the original source for a field as `ctx._source.`. First, let's look at the source data for a player by submitting the following request: [source,js] ---------------------------------------------------------------- GET hockey/_search { "stored_fields": [ "_id", "_source" ], "query": { "term": { "_id": 1 } } } ---------------------------------------------------------------- // CONSOLE To change player 1's last name to `hockey`, simply set `ctx._source.last` to the new value: [source,js] ---------------------------------------------------------------- POST hockey/player/1/_update { "script": { "lang": "painless", "inline": "ctx._source.last = params.last", "params": { "last": "hockey" } } } ---------------------------------------------------------------- // CONSOLE You can also add fields to a document. For example, this script adds a new field that contains the player's nickname, _hockey_. [source,js] ---------------------------------------------------------------- POST hockey/player/1/_update { "script": { "lang": "painless", "inline": "ctx._source.last = params.last; ctx._source.nick = params.nick", "params": { "last": "gaudreau", "nick": "hockey" } } } ---------------------------------------------------------------- // CONSOLE [float] [[modules-scripting-painless-dates]] === Dates Date fields are exposed as <>s so they support methods like <>, and <>. To get milliseconds since epoch call <>. For example, the following returns every hockey player's birth year: [source,js] ---------------------------------------------------------------- GET hockey/_search { "script_fields": { "birth_year": { "script": { "inline": "doc.born.value.year" } } } } ---------------------------------------------------------------- // CONSOLE [float] [[modules-scripting-painless-regex]] === Regular expressions NOTE: Regexes are disabled by default because they circumvent Painless's protection against long running and memory hungry scripts. To make matters worse even innocuous looking regexes can have staggering performance and stack depth behavior. They remain an amazing powerful tool but are too scary to enable by default. To enable them yourself set `script.painless.regex.enabled: true` in `elasticsearch.yml`. We'd like very much to have a safe alternative implementation that can be enabled by default so check this space for later developments! Painless's native support for regular expressions has syntax constructs: * `/pattern/`: Pattern literals create patterns. This is the only way to create a pattern in painless. The pattern inside the ++/++'s are just http://docs.oracle.com/javase/8/docs/api/java/util/regex/Pattern.html[Java regular expressions]. See <> for more. * `=~`: The find operator return a `boolean`, `true` if a subsequence of the text matches, `false` otherwise. * `==~`: The match operator returns a `boolean`, `true` if the text matches, `false` if it doesn't. Using the find operator (`=~`) you can update all hockey players with "b" in their last name: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "if (ctx._source.last =~ /b/) {ctx._source.last += \"matched\"} else {ctx.op = 'noop'}" } } ---------------------------------------------------------------- // CONSOLE Using the match operator (`==~`) you can update all the hockey players who's names start with a consonant and end with a vowel: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "if (ctx._source.last ==~ /[^aeiou].*[aeiou]/) {ctx._source.last += \"matched\"} else {ctx.op = 'noop'}" } } ---------------------------------------------------------------- // CONSOLE You can use the `Pattern.matcher` directly to get a `Matcher` instance and remove all of the vowels in all of their last names: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "ctx._source.last = /[aeiou]/.matcher(ctx._source.last).replaceAll('')" } } ---------------------------------------------------------------- // CONSOLE `Matcher.replaceAll` is just a call to Java's `Matcher`'s http://docs.oracle.com/javase/8/docs/api/java/util/regex/Matcher.html#replaceAll-java.lang.String-[replaceAll] method so it supports `$1` and `\1` for replacements: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "ctx._source.last = /n([aeiou])/.matcher(ctx._source.last).replaceAll('$1')" } } ---------------------------------------------------------------- // CONSOLE If you need more control over replacements you can call `replaceAll` on a `CharSequence` with a `Function` that builds the replacement. This does not support `$1` or `\1` to access replacements because you already have a reference to the matcher and can get them with `m.group(1)`. IMPORTANT: Calling `Matcher.find` inside of the function that builds the replacement is rude and will likely break the replacement process. This will make all of the vowels in the hockey player's last names upper case: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "ctx._source.last = ctx._source.last.replaceAll(/[aeiou]/, m -> m.group().toUpperCase(Locale.ROOT))" } } ---------------------------------------------------------------- // CONSOLE Or you can use the `CharSequence.replaceFirst` to make the first vowel in their last names upper case: [source,js] ---------------------------------------------------------------- POST hockey/player/_update_by_query { "script": { "lang": "painless", "inline": "ctx._source.last = ctx._source.last.replaceFirst(/[aeiou]/, m -> m.group().toUpperCase(Locale.ROOT))" } } ---------------------------------------------------------------- // CONSOLE Note: all of the `_update_by_query` examples above could really do with a `query` to limit the data that they pull back. While you *could* use a <> it wouldn't be as efficient as using any other query because script queries aren't able to use the inverted index to limit the documents that they have to check. [float] [[modules-scripting-painless-dispatch]] === How painless dispatches functions Painless uses receiver, name, and https://en.wikipedia.org/wiki/Arity[arity] to for method dispatch. For example, `s.foo(a, b)` is resolved by first getting the class of `s` and then looking up the method `foo` with two parameters. This is different from Groovy which uses the https://en.wikipedia.org/wiki/Multiple_dispatch[runtime types] of the parameters and Java which uses the compile time types of the parameters. The consequence of this that Painless doesn't support overloaded methods like Java, leading to some trouble when it whitelists classes from the Java standard library. For example, in Java and Groovy, `Matcher` has two methods: `group(int)` and `group(String)`. Painless can't whitelist both of them methods because they have the same name and the same number of parameters. So instead it has <> and <>. We have a few justifications for this different way of dispatching methods: 1. It makes operating on `def` types simpler and, presumably, faster. Using receiver, name, and arity means when Painless sees a call on a `def` objects it can dispatch the appropriate method without having to do expensive comparisons of the types of the parameters. The same is true for invocations with `def` typed parameters. 2. It keeps things consistent. It would be genuinely weird for Painless to behave like Groovy if any `def` typed parameters were involved and Java otherwise. It'd be slow for it to behave like Groovy all the time. 3. It keeps Painless maintainable. Adding the Java or Groovy like method dispatch *feels* like it'd add a ton of complexity which'd make maintenance and other improvements much more difficult.