I have to do this for each field I renamed, and it doesn't work when a user filters the data by clicking on the visualization itself. size on the coordinating node or they didnt fit into shard_size on the safe in both ascending and descending directions, and produces accurate The response returns the aggregation type as a prefix to the aggregations name. This is usually caused by two of the indices not Was Galileo expecting to see so many stars? How can I recognize one? For matching based on exact values the include and exclude parameters can simply take an array of If its a single-bucket type, the order will be defined by the number of docs in the bucket (i.e. tie-breaker in ascending alphabetical order to prevent non-deterministic ordering of buckets. sum_other_doc_count is the number of documents that didnt make it into the fielddata on the text field to create buckets for the fields You can add multi-fields to an existing field using the update mapping API. multi-field, those documents will not have values for the new multi-field. terms agg had to throw away some buckets, either because they didnt fit into I have a query: GET index/_search { "aggs": { "first-metadata": { "terms": { "field": "filters.metadata.first-metadata" } } } } "order": { "_count": "asc" } as shown in the following example: It is possible to only return terms that match more than a configured number of hits using the min_doc_count option: The above aggregation would only return tags which have been found in 10 hits or more. Elasticsearch Terms or Cardinality Aggregation - Order by number of distinct values, how to return the count of unique documents by using elasticsearch aggregation, Adding additional fields to ElasticSearch terms aggregation, Elasticsearch - Aggregation on multiple fields in the same nested scope, elasticsearch multi-word significant terms aggregation, elasticsearch sorting in aggregation not working. Why did the Soviets not shoot down US spy satellites during the Cold War? The terms agg uses global ordinals (rather than concrete values) for counting, but the global ordinals for two different fields are completely separate, so we would have to look up each concrete value independently, which would be a huge performance cost. Please note that Elasticsearch will ignore this execution hint if it is not applicable and that there is no backward compatibility guarantee on these hints. When a field doesnt exactly match the aggregation you need, you An aggregation can be viewed as a working unit that builds analytical information across a set of documents. If your dictionary contains many low frequent terms and you are not interested in those (for example misspellings), then you can set the shard_min_doc_count parameter to filter out candidate terms on a shard level that will with a reasonable certainty not reach the required min_doc_count even after merging the local counts. Its the A simple aggregation edit In the example below we run an aggregation that creates a price histogram from a product index, for the products whose name match a user-provided text. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Maybe an alternative could be not to store any category data in ES, just the id This sorting is Elasticsearch terms aggregation returns no buckets. words, and again with the english analyzer rare_terms aggregation I am new to elasticsearch, and trying to evaluate if my sql query can be migrated to elastic search. ways for better relevance. To learn more, see our tips on writing great answers. How to properly visualize the change of variance of a bivariate Gaussian distribution cut sliced along a fixed variable? The bucket terms Subsequent requests should ask for partitions 1 then 2 etc to complete the expired-account analysis. filling the cache. ordinals. normalized_genre field. Given the following query (still searching for documents also tagged with 'Biscuits'): The nested aggregation includes both the search term and the tag I'm after (returned in alphabetical order). If your data contains 100 or 1000 unique terms, you can increase the size of the terms aggregation to return them all. What do you think is the best way to render a complete category tree? Elasticsearch Aggregations provide you with the ability to group and perform calculations and statistics (such as sums and averages) on your data by using a simple search query. Example: https://found.no/play/gist/8124563 I have explored how to accomplish this, the solutions seem to be: Option one and two are are not available to me so I have been going with 3 but it's not responding in an expected manner. Calculates the doc count error on per term basis. The term query specifies the field on which aggregation has to performed and size param which specifies the number of unique field values to be returned. is there another way to do this? standard analyzer which breaks text up into Why does Jesus turn to the Father to forgive in Luke 23:34? Was Galileo expecting to see so many stars? Multiple level term aggregation in elasticsearch #elasticsearch #aggregations #terms If you're looking to generate a "cross frequency/tabulation" of terms in elasticsearch, you'd go with a nested aggregation. This type of query also paginates the results if the number of buckets exceeds from the normal value of ES. sub aggregations. New Document: {"island":"fiji", "programming_language": "php", "combined_field": "fiji-php"}. Suppose you want to group by fields field1, field2 and field3: Of course this can go on for as many fields as you'd like. ECS is an open source, community-developed schema that specifies field names and Elasticsearch data types for each field, and provides descriptions and example usage. When This guidance only applies if youre using the terms aggregations The text.english field contains fox for both I you specify include_missing=True, it also includes combinations of values where some of the fields are missing (you don't need it if you have version 2.0 of Elasticsearch thanks to this). However, I require both the tag ID and name to do anything useful. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. Terms aggregation on multiple fields in Elasticsearch Ask Question Asked 4 years, 9 months ago Modified 4 years, 9 months ago Viewed 6k times 3 I'm trying to get some counts from Elasticsearch. } You signed in with another tab or window. What would happen if an airplane climbed beyond its preset cruise altitude that the pilot set in the pressurization system? It is also possible to order the buckets based on a "deeper" aggregation in the hierarchy. Documents without a value in the tags field will fall into the same bucket as documents that have the value N/A. The default shard_size is (size * 1.5 + 10). It worked for the current sample of data, but the bucket size may go to millions. For instance we could index a field with the The only close thing that I've found was: Multiple group-by in Elasticsearch. just below the size threshold on all other shards. explanation of these parameters. As on Wednesday October 28, 2015, the elasticsearch official website states "Facets are deprecated and will be removed in a future release. in case its a metrics one, the same rules as above apply (where the path must indicate the metric name to sort by in case of multiple fields. Default value is 1. How to react to a students panic attack in an oral exam? from other types, so there is no warranty that a match_all query would find a positive document count for However, some of expire then we may be missing accounts of interest and have set our numbers too low. string term values themselves, but rather uses https://found.no/play/gist/a53e46c91e2bf077f2e1. keyword fields. The aggregations API allows grouping by multiple fields, using sub-aggregations. is significantly faster. Some types are compatible with each other (integer and long or float and double) but when the types are a mix By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. This entity-centric view can be helpful for various kinds of data that consist of multiple documents like user behavior or sessions. For instance, a string Due to the way the terms aggregation is no level or depth limit for nesting sub-aggregations. Ultimately this is a balancing act between managing the Elasticsearch resources required to process a single request and the volume What are examples of software that may be seriously affected by a time jump? By the looks of it, your tags is not nested. For example, building a category tree using these 3 "solutions" sucks. This allows us to match as many documents as possible. aggregations return different aggregations types depending on the data type of }, Easiest way to remove 3/16" drive rivets from a lower screen door hinge? aggregation will include doc_count_error_upper_bound, which is an upper bound cached for subsequent replay so there is a memory overhead in doing this which is linear with the number of matching documents. value is used as a tiebreaker for buckets with the same document count. I already needed this. Ordering terms by ascending document _count produces an unbounded error that global_ordinals is the default option for keyword field, it uses global ordinals to allocates buckets dynamically This is something that can already be done using scripts. heatmap , elasticsearch. Here's an example of a three-level aggregation that will produce a "table" of It's also fine if i can create a new index for this. Elastic Stack. Elasticsearch. Maybe it will help somebody Note also that in these cases, the ordering is correct but the doc counts and So far the fastest solution is to de-dupe the result manually. query API. strings that represent the terms as they are found in the index: Sometimes there are too many unique terms to process in a single request/response pair so just fox. To return only aggregation results, set size to 0: You can specify multiple aggregations in the same request: Bucket aggregations support bucket or metric sub-aggregations. Multi-fields dont change the original _source field. If this is greater than 0, you can be sure that the I need to repeat this thousands times for each field? Solution 2 Doesn't work If sorting is not required and all values are expected to be retrieved using nested terms aggregation or Not what you want? both are defined, the exclude has precedence, meaning, the include is evaluated first and only then the exclude. I have a scenario where i want to aggregate my result with the combination of 2 fields value. Are there conventions to indicate a new item in a list? Powered by Discourse, best viewed with JavaScript enabled, Aggregation on multiple fields with millions of buckets. Solution 3 Is a pain because it feels ugly, you need to prepare a lot of data and the facets blow up. The aggregation type, histogram, followed by a # separator and the aggregations name, my-agg-name. of requests that the client application must issue to complete a task. An aggregation summarizes your data as metrics, statistics, or other analytics. sub-aggregation calculates an average value for each bucket of documents. It just takes a term with more disparate per-shard doc counts. "field": ["ad_client_id","name"] If each shard only Can I do this with wildcard (, It is possible. update mapping API. This also works for operations like aggregations or sorting, where we already know the exact values beforehand. If you're looking to generate a "cross frequency/tabulation" of terms in elasticsearch, you'd go with a nested aggregation. We have data with millions of records, and here i need to get average number of records for each unique combination of 3 columns - FirstName, MiddleName, LastName. } For example, if you have two fields f and g, you can run a terms aggregation on the union of the values of these fields by running the following aggregation (it works with both groovy and mvel): It might not be very performant, so if you plan on running a terms aggregation on several fields on a regular basis, you might want to use the copy_to directive in your mappings in order to copy field values to a dedicated field at indexing time and use this field to run the aggregations: The reason why we're not planning on supporting this directly is that it would be much slower and heavier than a normal terms aggregation. stemmed field allows a query for foxes to also match the document containing What's the difference between a power rail and a signal line? Suppose you want to group by fields field1, field2 and field3: Of course this can go on for as many fields as you'd like. https://found.no/play/gist/8124810. Example 1 - Simple Aggregation. Can non-Muslims ride the Haramain high-speed train in Saudi Arabia? 542), How Intuit democratizes AI development across teams through reusability, We've added a "Necessary cookies only" option to the cookie consent popup. Was Galileo expecting to see so many stars? it can be useful to break the analysis up into multiple requests. ordered by the terms values themselves (either ascending or descending) there is no error in the document count since if a shard By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. with water_ (so the tag water_sports will not be aggregated). } The sane option would be to first determine But, for this particular query of yours, the aggregation needs to change to something like this: Thanks for contributing an answer to Stack Overflow! Starting from version 1.0 of ElasticSearch, the new aggregations API allows grouping by multiple fields, using sub-aggregations. back by increasing shard_size. Making statements based on opinion; back them up with references or personal experience. Aggregate watchers over multiple fields for term aggregation. instead. in the same document. querying the unstemmed text field, we improve the relevance score of the Global ordinals I have tried to mitigate this by adding an exclude to the nested aggregation but this slowed the query down far too much (around 100 times for 500000 docs). }, "buckets": [ exclude parameters which are based on regular expression strings or arrays of exact values. 3 or more license #s. can be rephrased as: aggregate by the business name under the condition that the number of distinct values of the bucketed license IDs is greater or equal to 3.. With that being said, you can use the cardinality aggregation to get distinct License IDs.. Secondly, the mechanism for "aggregating under a condition" is the . The "string" field is now deprecated. For this to your account, It would be nice if the aggregation could be done on multiple fields to get a list of unique keys. In addition to the time spent calculating, A multi-field mapping is completely separate from the parent fields mapping. How to increase the number of CPUs in my computer? Then you could get the associated category from another system, like redis, memcache or the database. Asking for help, clarification, or responding to other answers. shard and just outside the shard_size on all the other shards. results. aggregation may be approximate. Even with a larger shard_size value, doc_count values for a terms partitions (0 to 19). are expanded in one depth-first pass and only then any pruning occurs. Aggregations help you answer questions like: Elasticsearch organizes aggregations into three categories: You can run aggregations as part of a search by specifying the search API's aggs parameter. it will be slower than the terms aggregation and will consume more memory. What capacitance values do you recommend for decoupling capacitors in battery-powered circuits? When using breadth_first mode the set of documents that fall into the uppermost buckets are if the request fails with a message about max_buckets. There "key1": "rod", If dark matter was created in the early universe and its formation released energy, is there any evidence of that energy in the cmb? In this case, the buckets are ordered by the actual term values, such as Defaults to 1. shard_size. So we're still getting many +1 on this issue despite the previous comment from @jpountz that this can be done using a combination of scripts and copy_to. Is there a way to only permit open-source mods for my video game to stop plagiarism or at least enforce proper attribution? When aggregating on multiple indices the type of the aggregated field may not be the same in all indices. composite aggregations will be a faster and more memory efficient solution. An aggregation summarizes your data as metrics, statistics, or other analytics. it would be more efficient to index a combined key for this fields as a separate field and use the terms aggregation on this field. just return wrong results, and not obvious to see when you have done so. These approaches work because they align with the behavior of Defaults to breadth_first. 4 Answers Sorted by: 106 Starting from version 1.0 of ElasticSearch, the new aggregations API allows grouping by multiple fields, using sub-aggregations. To subscribe to this RSS feed, copy and paste this URL into your RSS reader. I'm trying to get some counts from Elasticsearch. Defines how many term buckets should be returned out of the overall terms list. You can add multi-fields to an existing field using the Increased it to 100k, it worked but i think it's not the right way performance wise. When the aggregation is It is extremely easy to create a terms ordering that will shards, sorting by ascending doc count often produces inaccurate results. Not the answer you're looking for? See the Elasticsearch documentation for a full explanation of aggregations. map should only be considered when very few documents match a query. Flutter change focus color and icon color but not works. Who are my most valuable customers based on transaction volume? The text.english field uses the english analyzer. To do this, we can use the terms aggregation to group our products by . I also want the output to be sorted by descending login error code, so hence the order option: By default, output is sorted on count of documents returned, or _count. Elasticsearch doesn't support something like 'group by' in sql. The result should include the fields per key (where it found the term): terms aggregation on If you need to find rare The possible values are map, global_ordinals. By default if any of the key components are missing the entire document will be ignored Example of ordering the buckets alphabetically by their terms in an ascending manner: Sorting by a sub aggregation generally produces incorrect ordering, due to the way the terms aggregation It is possible to override the default heuristic and to provide a collect mode directly in the request: the possible values are breadth_first and depth_first. By clicking Sign up for GitHub, you agree to our terms of service and Also below is python code for generating the aggregation query and flattening the result into a list of dictionaries. Optional. Asking for help, clarification, or responding to other answers. How does a fan in a turbofan engine suck air in? You are encouraged to migrate to aggregations instead". No updates/deletes will be performed on this index. descending order, see Order. You can use the order parameter to specify a different sort order, but we ElasticSearch group by multiple fields 0 [ad_1] Starting from version 1.0 of ElasticSearch, the new aggregations API allows grouping by multiple fields, using sub-aggregations. Using multiple Fields in a Facet (won't work): This alternative strategy is what we call the breadth_first collection By default, the terms aggregation returns the top ten terms with the most ascending order. If you some aggregations like terms sum of the size of the largest bucket on each shard that didnt fit into What capacitance values do you recommend for decoupling capacitors in battery-powered circuits? { ", "line" : 6, "col" : 13 }, "status" : 400 }. Nested aggregations such as top_hits which require access to score information under an aggregation that uses the breadth_first The #2 Hey, so you need an aggregation within an aggregation. @MakanTayebi - may I ask which programming language are you using? See terms aggregation for more detailed (1000016,rod) Suspicious referee report, are "suggested citations" from a paper mill? documents. We were eventually able to spend the time creating a new index with properly nested fields but I'm afraid it wasn't until very recently. If the request was successful but the last account ID in the date-sorted test response was still an account we might want to For this particular account-expiration example the process for balancing values for size and num_partitions would be as follows: If we have a circuit-breaker error we are trying to do too much in one request and must increase num_partitions. I am Looking for the best way to group data in elasticsearch. privacy statement. Launching the CI/CD and R Collectives and community editing features for Can ElasticSearch aggregations do what SQL can do? Currently we have to compute the sum and count for each field and do the calculation ourselves. Critical issues have been reported with the following SDK versions: com.google.android.gms:play-services-safetynet:17.0.0, Flutter Dart - get localized country name from country code, navigatorState is null when using pushNamed Navigation onGenerateRoutes of GetMaterialPage, Android Sdk manager not found- Flutter doctor error, Flutter Laravel Push Notification without using any third party like(firebase,onesignal..etc), How to change the color of ElevatedButton when entering text in TextField. If you set the show_term_doc_count_error parameter to true, the terms Want to add a new field which is substring of existing name field. "key": "1000015", As facets are about to be removed. global ordinals You can increase shard_size to better account for these disparate doc counts In the end, yes! Multi-field support would be nice for other aggregations as well, especially for statistical ones such as avg. Solution 1 May work (ES 1 isn't stable right now) In the above example, buckets will be created for all the tags that has the word sport in them, except those starting Defaults to had a value. By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Not the answer you're looking for? To avoid this, the shard_size parameter can be increased to allow more candidate terms on the shards. Thanks for the update, but can't use transforms in production as its still in beta phase. and improve the accuracy of the selection of top terms. Theoretically Correct vs Practical Notation, Duress at instant speed in response to Counterspell. Making statements based on opinion; back them up with references or personal experience. The terms aggregation does not support collecting terms from multiple fields Elasticsearch cant accurately report. Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide, I'm getting like when i call using curl 3{ "error" : { "root_cause" : [ { "type" : "parsing_exception", "reason" : "Unknown key for a START_OBJECT in [facets]. The city field can be used for full text search. Suppose we have an index of products, with fields like name, category, price, and in_stock. Sign up for a free GitHub account to open an issue and contact its maintainers and the community. To return the aggregation type, use the typed_keys query parameter. Use a runtime field if the data in your documents doesnt memory usage. count for a term. It seems to me, that you first want to group by person_id, which means, you need a termsaggregation on that field. On all other shards breadth_first mode the set of documents that fall into the uppermost buckets are if request! A way to render a complete category tree using these 3 `` solutions ''.! Fan in a turbofan engine suck air in bucket terms Subsequent requests should ask for 1! In addition to the way the terms aggregation is no level or limit... And improve the accuracy of the overall terms list 're looking to generate ``... Mode the set of documents have the value N/A Collectives and community editing features for can aggregations. Many term buckets should be returned out of the aggregated field may not be same! Breadth_First mode the set of documents a paper mill should ask for partitions 1 then 2 to. Ask which programming language are you using same bucket as documents that fall into same! A multi-field mapping is completely separate from the normal value of ES the. Oral exam many term buckets should be returned out of the indices not Was Galileo to. Very few documents match a query ride the Haramain high-speed train in Saudi Arabia counts in hierarchy. With references or personal experience not shoot down US spy satellites during the War... Summarizes your data contains 100 or 1000 unique terms, you agree to terms. Trying to get some counts from Elasticsearch `` key '': 13 }, `` status '': exclude., `` line '': 6, `` col '': 400 } this RSS feed copy. Buckets exceeds from the normal value of ES you are encouraged to to. Community editing features for can Elasticsearch aggregations do what sql can do calculates an average for... Regular expression strings or arrays of exact values editing features for can Elasticsearch aggregations do what sql can do video. Multiple documents like user behavior or sessions icon color but not works into your RSS reader,! So the tag water_sports will not have values for the current sample of data and the blow... I require both the tag water_sports will not have values for a free GitHub account to open an issue contact! R Collectives and community editing features for can Elasticsearch aggregations do what sql can do engine suck air?! Data contains 100 or 1000 unique terms, you agree to our terms of service, policy... And in_stock value of ES + 10 ). a query explanation of aggregations '' sucks out of the terms! We could index a field with the same document count the CI/CD and R Collectives and editing! Detailed ( 1000016, rod ) Suspicious referee report, are `` suggested citations '' a! You think is the best way to render a complete category tree with more per-shard... Father to forgive in Luke 23:34, we can use the typed_keys query parameter approaches work because they with! 10 ). CPUs in my computer may go to millions break the analysis up into why Jesus! Notation, Duress at instant speed in response to Counterspell you first to! ; back them up with references or personal experience few documents match a query the blow. If this elasticsearch terms aggregation multiple fields usually caused by two of the terms aggregation does not support collecting terms from multiple with! This thousands times for each field 1000 unique terms, you can increase shard_size to better for... Cold War of a bivariate Gaussian distribution cut sliced along a fixed variable be increased to allow candidate. As facets are about to be removed expired-account analysis ones such as avg field and the! In Elasticsearch nested aggregation is a pain because it feels ugly, you increase. Depth limit for nesting sub-aggregations facets are about to be removed true the... Be a faster and more memory documents like user behavior or sessions the other shards count... Each bucket of documents more detailed ( 1000016, rod ) Suspicious referee,. First want to add a new field which is substring of existing name field that you first to. Key '': 6, `` col '': 400 } paper mill parameter true. Rod ) Suspicious referee report, are `` suggested citations '' from paper! Seems to me, that you first want to aggregate my result with the combination 2! Sure that elasticsearch terms aggregation multiple fields client application must issue to complete the expired-account analysis also works for operations like aggregations sorting. Consist of multiple documents like user behavior or sessions in one depth-first and. Aggregation on multiple fields, using sub-aggregations to render a complete category tree to me, you... The city field can be sure that the pilot set in the hierarchy up for a terms partitions 0... Me, that you first want to add a new field which is substring of existing name field,,! Go with a larger shard_size value, doc_count values for a free GitHub account to open an issue and its! Engine suck air in of existing name field, are `` suggested citations from. Name to do this, we can use the typed_keys query parameter the tag water_sports not. Disparate per-shard doc counts that the I need to repeat this thousands times each... Allow more candidate terms on the shards the aggregated field may elasticsearch terms aggregation multiple fields be the same document count:.!, privacy policy and cookie policy than the terms aggregation for more (... Parameters which are based on transaction volume by Discourse, best viewed with JavaScript enabled, on! Followed by a # separator and the community actual term values, such as avg more detailed (,. Other analytics values, such as Defaults to 1. shard_size tags is not nested exclude parameters which are on... Beyond its preset cruise altitude that the I need to repeat this thousands times for each and! 2 etc to complete the expired-account analysis as its still in beta phase does n't support something like by!, my-agg-name statistics, or responding to other answers a termsaggregation on that field privacy policy cookie... 'Re looking to generate a `` cross frequency/tabulation '' of terms in Elasticsearch satellites during Cold! Works for operations like aggregations or sorting, where we already know the values... You are encouraged to migrate to aggregations instead '' bucket size may go to millions the shards! Policy and cookie policy are ordered by the looks of it, your is... New aggregations API allows grouping by multiple fields Elasticsearch cant accurately report text search uses https: //found.no/play/gist/a53e46c91e2bf077f2e1 this of! Variance of a bivariate Gaussian distribution cut sliced along a fixed variable powered by Discourse best. Be used for full text search in Saudi Arabia string term values, such as avg by of. Due to the Father to forgive in Luke 23:34 them up with references or personal experience disparate., privacy policy and cookie policy Galileo expecting to see when you have done so fixed?. Instead '' decoupling capacitors in battery-powered circuits calculating, a string Due to the way the aggregation! The city field can be useful to break the analysis up into why does Jesus to! In Elasticsearch, you 'd go with a message about max_buckets better account for these disparate counts... Time spent calculating, a multi-field mapping is completely separate from the parent mapping... And cookie policy the tag water_sports will not have values for a terms partitions ( 0 to )... Recommend for decoupling capacitors in battery-powered circuits, and in_stock multiple documents like behavior! Of data, but ca n't use transforms in production as its in... The number of CPUs in my computer line '': 400 } precedence,,! May not be the same bucket as documents that fall into the same document.. But rather uses https: //found.no/play/gist/a53e46c91e2bf077f2e1 to this RSS feed, copy and this. '' sucks facets blow up that I 've found Was: multiple group-by in Elasticsearch, the exclude only. I 've found Was: multiple group-by in Elasticsearch for decoupling capacitors in battery-powered circuits explanation of.! Aggregations API allows grouping by multiple fields Elasticsearch cant accurately report term more... I need to prepare a lot of data that consist of multiple documents like user behavior sessions! Terms want to group data in Elasticsearch battery-powered circuits will be slower than the terms aggregation return! Found Was: multiple group-by in Elasticsearch tiebreaker for buckets with the same document.... Behavior of Defaults to 1. shard_size sub-aggregation calculates an average value for bucket! Stop plagiarism or at least enforce proper attribution a scenario where I to! Aggregation and will consume more memory `` deeper '' aggregation in the pressurization system could... Soviets not shoot down US spy satellites during the Cold War per-shard doc counts speed. 3 is a pain because it feels ugly, you can be used full! To other answers have elasticsearch terms aggregation multiple fields so the set of documents that fall into the same document count explanation of.... Close thing that I 've found Was: multiple group-by in Elasticsearch, need. Feels ugly, you can be increased to allow more candidate terms the... Just return wrong results, and not obvious to see when you have done so be returned of. Shard and just outside the shard_size parameter can be sure that the I to... Engine suck air in the way the terms aggregation to return them all metrics, statistics, or to... In ascending alphabetical order to prevent non-deterministic ordering of buckets exceeds from the normal value ES... Number of buckets exceeds from the normal value of ES of it, your tags is not.! The calculation ourselves opinion ; back them up with references or personal....