Elasticsearch first query slow. Takes around 4seconds.

Elasticsearch first query slow Sorting in Elastic Search. Poorly written or expensive search queries. This was the case with my other queries as well. It's the exact same query, submitted via curl, and it happens consistently query after query. This is additional work that is required when the refresh interval is reduced. 1 million documents, each relatively small in size, spread across 200 or so indexes. elasticsearch. September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. I read I can make the first query faster using eager to preload my data (using "loading" : "eager", right?) but I Hi, search queries are slow when i do should match with multiple search terms and also for matching nested documents, basically it is taking 7-10 sec for first query and 5-6 sec later on due to elasticsearch cache, but In summary, the first query is always slow (like seconds). – Harry Wood. (139. I've been noticing slower than desired query performance on my Elasticsearch cluster, and am hoping for guidance. Aha! Now we’re down to the root cause: a spike in indexing must have saturated the CPU, making our query slow. For example, if the query was returning 4-6 ms in took normally, it would return 30 ms unexpectedly in between. Elasticsearch will get significant slower if you just add some big number as size, Hello! While investigating the performance of time range queries, I found some surprising things, and was wondering if anyone had insights to share as to what optimisations or heuristics happen behind the scenes that might explain (and perhaps ideas about the best way to build such queries). On this query it has to search on the fields title and body the string mercado on a given user_id, in this case 655. 1 Elasticsearch response time - strange values. Here is some data from Kibana, during a 15 min load test i did: I noticed that after posting update to even single document when I search on that index for this single document (query is not trivial but not especially complex either but it has nested element) there is a perceptible delay in getting result. optimize elasticsearch query using filter, query or mix of both. 2 to 8. 18 Slow index speed of Elasticsearch. I'm not sure how to speed this up more or what I'm doing wrong. I am trying to make make all my queries less than 100 ms. Search works but rather slow. When querying using alias A, the query speed increases from 7ms to 60ms compared to directly querying using a1. (Have a lot of data to migrate during upgrades. 0 Elasticsearch Slow terms aggregation. 2. However, it doesn't explain the slowness, as all components take at most a couple of milliseconods, whereas the query "took" more than 1 second: took" : 1254 Here's the query, which using applicationId for routing (it uses query_string rather than a typical must Elasticsearch first query is slow, rest of them are fast. Most Linux distributions use a sensible readahead value of 128KiB for a single plain device, however, when using software raid, LVM As time goes by, older indexes are moved from hot (fast) nodes to warm (slower) nodes to (even slower) cold nodes. types[estype], stats[], search_type[QUERY_THEN_FETCH], total_shards[6],, Slow logs show that Elasticsearch query was hitting six shards, which is just not possible as my index has just two primary shards with two replicas** and according to Elasticsearch documentation, for a search query ES will send a request to either a primary shard or So, above is saying the Elasticsearch cluster took 218ms to process the request. select * from table_name where 'field_name1' like 'a%' or 'field_name2' like 'a%' Wildcard searches are slow. Here is what one of these customers said: “We want to identify, understand, and troubleshoot any slow-running queries Some of the queries are taking long time to execute first time and on rerun response time reduces. To avoid queries that are too long to complete, Elasticsearch offers a timeout feature. 2. The search is simple and fast. Although this should not be something of significance you use the exact same query for your benchmark. Hot Network Questions The issue is the query is taking 9-10 seconds to run. 0 4 nodes with 64GB RAM (30GB heap) and 24 cores each Storage: RAID 10 spinning disks (ye Problem: We are expecting great performance from this hardware config, however a very slow indexing speed is observed. It This is the only supported way of deleting documents in latest versions of Elasticsearch. So this anomaly does not seem query specific. Is it ok or it can be faster? 1. I have read a lot in the forum about the cluster configuration, shards and so on, and this is finally my Cluster configuration: 1 Dedicated Master Node. As to how to change the thresholds, a command like this should be used: PUT /_settings { "index. 2xx OS Version linux 7 Problem Description Under a large amount of data, my first query was very slow, but every subsequent query was very fast? Steps to Reproduce Under a large Elasticsearch NEST search query too slow 3 How fast I can get results from Elastic Search with 1 billion documents 1 ElasticSearch poor query performance one 100K documents dataset 1 Elasticsearch slow performance for huge data So According to the above logic, Elasticsearch must query only two shards, then how come in my slow logs it's happening as six(6) shards, and this is causing doubts in my mind for the slowness of these queries. I know that the double wildcard is expensive as Ive tested using a single one, and the latency Elasticsearch first query is slow, rest of them are fast 1 elasticsearch query is giving results very slow on a simple query 2 Elasticsearch slow results with IN query and Scoring 0 optimize elasticsearch query using filter, query or mix of both 1 Elasticsearch query Elasticsearch first query is slow, rest of them are fast 1 elasticsearch query is giving results very slow on a simple query 1 How to improve search speed of a query in Elastic Search? Hot Network Questions How can point particles be Lorentz Contracted? Many things are happening during one ES query. Above that 30+ requests/sec, the performance plummets and response time increases to 50s. threshold. How to tune Elasticsearch to make it indexing fast? 1. To illustrate that, I performed a query for a single _id. Run iostat -x on these node to see what await and disk utilisation looks like. Poorly configured Elasticsearch clusters or indices. 3 How to speed up ElasticSearch indexing? 4 improve python elasticsearch performance. Related questions. Using Elasticsearch 1. 4 on centos We recently noticed that multi-index queries against our production Logshash database became very slow (5-10+ seconds). 5 to 5. elastic. It will be slow with any single "keyword"-type field and even with "_id" Elasticsearch first query is slow, rest of them are fast. Hot Network Questions Originally, there was an index a1. For a bit of context: we make heavy use of time-sorted indices and time Elasticsearch first query is slow, rest of them are fast. Poorly configured OpenSearch clusters or indices. First, check the took field returned by ElasticSearch. It is running fine. 0 In Elastic search why does the time taken varies? Load 7 more The refresh_interval changes how frequently ElasticSearch syncs data and makes it available for search. exists is so elasticsearch query has slow performance. Tagging Elastic Search Slow Query. That is, what are the top slow queries - how many times they occur, what is their avg query time and so on. 1 Elasticsearch queries slow performance. By specifying must_not it can reduce the number of returned records which can be a real hit. 1 When my query is "l" 6 million documents match the query and it takes 22 ms to run the query. The example That is because during the first query Elasticsearch pulls data into cache, so that subsequent queries are faster. May be the queries you running are not slow enough to log them. 12g and 16g of heap space. We noticed that a certain set of our customers started experiencing unacceptably slow page response times. Is this expected behaviour, or am I doing something wrong? I am searching about approx. Most of the times, we run the same type of query with a filter that's provided as part of the API call, so we have wrapped it into a method like this: var stopWatch = new Stopwatch(); // stopwatch added to investigate the issue How to use slow logs to detect and troubleshoot issues related to slow queries. ; Periodic background processes like snapshots or merging segments that consume cluster resources (CPU, Memory, disk) causing other search queries We have an ElasticSearch Index with around 150 GB of primary-data. NEST: Elasticsearch 5. Follow ElasticSearch - slow aggregations and impact on performance of First of all, we can see that without aggs, the time is only 21ms. strptime(hit. I looked at took values and noticed that after update the query takes 700+ ms where normally it would take just 40 ms. Load 7 more related questions Show fewer related questions I'm puzzled by this problem: I've set a logstash instance reading from mysql_slow_query and already have some analysis running (like avg query time and lock time per user etc), but the most important thing is still missing: the query ranking. slowlog. I have increased the vCPU from 1vCPU to 2vCPU (ElasticSearch server is running as a VM) and I can see certain decrease in the response time ("took" in elastic search). I have a text index whose highlights are very slow. By using the timeout feature, you can stop your query if it’s growing too long to finish. 3 How fast I can get results from Elastic Search with 1 billion documents. 8. How to improve search speed of a query in Elastic Search? 1. Elasticsearch: Search Performance of index with large documents (PDF,doc,txt) is slow. Therefore the result for this query will be min. The core reason for the slowness of some date range queries in ElasticSearch seems to be related to the caching behavior of the nodes. 0. What does "first-visit" actually mean in Monte Carlo First Visit Edit 2: With 30 shards, the index is more performant but still takes over a second to return data on the first query. Faster phrase queries with index_phrases: The text field has an index_phrases option that indexes 2-shingles and is automatically leveraged by query parsers to run phrase queries that don’t have Your query searches for one spcific document ID but queries all shards. This index has 5 shards. Hot Network Questions A potential way to make Taylor Series converge even faster This tends to be very slow and IMHO not suitable for Elasticsearch warm nodes. Mapping identifiers as keywords turned out to be even slower, however I've also ran a test where I eliminated all the functions, reran all the queries and keyword identifiers were outperforming numeric identifiers. Issue: When, most of the time, I am new to elastic search and I am struggling with date range query. My queries use exact matching on all terms, except for a single wildcard term match. I made two index mappings by score script with cosine similarity and by ANN algorithm to evaluate which is better for our task, then inserted To mention that this changes from one slave to another. The default aws opensearch dashboard is useless for me, so I created a simple dashboard which works well most of the time, but then become extremely slow. More details about slow log here. 0 In Elastic search why does the time taken varies? Hello I'm trying to get a new ES cluster tuned properly to actually put into production, and I'm running into some performance issues. I have Elasticsearch first query is slow, rest of them are fast. Disk latencies will add up and cause a slow-down compared to the SSD platform. We are not looking for immediate solutions (even if we can dream), but clues we can explore to understand the issue and resolve it. Upto a 30 requests/sec input query frequency, the response time stays less than 1s. Let’s call Node 1. Without terms it takes around 700ms. So I Bear in mind that the first query to Elasticsearch from NEST will be much slower because the client caches a lot of delegates, compiled expressions and json serialization properties on this first call. The first slow query is on Tue, 19 Jul 2022 14:38 Update by query is very slow in elastic search. I am using ElasticSearch just for fast searches performance on large datasets. Slow index speed of Elasticsearch. In the first you used for terms, in the second you used one term and one terms. To pinpoint slow Elasticsearch queries, you can use the slow log, which Under a large amount of data, my first query was very slow, but every subsequent query was very fast? Elasticsearch will make full use of the operating system cache. ini [mysqld] section, A) log_queries_not_using_indexes=OFF B) long_query_time=1 C) slow_query_log_file=slow-query. 7M docs, 60 ms. elasticsearch query is giving results very slow on a While continuously firing queries on elastic search, I noted that sometimes the took field in the response would suddenly spike. index. All es record count is about 0. 2 - #2 by Amos66 Specifically the replies by Amos66. Nest for ElasticSearch is unusably slow. Why does each page of Talmud end with the first word of the next page? If our end users end up too long for a query to return results due to Elasticsearch query performance issues, it can often lead to frustration. Elastic Search sort query. Elastic search, experiencing very low search speed. 0. Ideally, you should have at least two search aliases: Elasticsearch first query is slow, rest of them are fast. I've attached a specific query below. - You can change the settings to 1ms and see if that helps. Thresholds can be set for both the query phase of the execution, By default Elasticsearch will log the first 1000 characters of the _source in the slowlog. The problem basically is "first time query operations are pretty slow". 1 ElasticSearch Query time - how to decrease the response time. You first need to modify the mapping like this: Search can cause a lot of randomized read I/O. 4 Elasticsearch first query is slow, rest of them are fast. While testing, I noticed that when running the same query multiple times, I had alternating fast (~50 ms), and slow (2-3 s) results. 1. We push Elasticsearch to its limit, and we recently started querying more data for some of our core pages. 0 Range in elasticsearch not really working. Let’s call Node 2 & Node 3. 0 elasticsearch-py search queries substantially MongoDB Slow Query Log Analysis with Logstash, Elasticsearch, and Kibana - esaddk/docker-elk-mongo. I have total around 40000 records in the index. Fixing Solr Slow Queries. However, if your search alias spans all indexes (located on warm and hot nodes alike) then the query performance can be as bad as your slowest warm node. Step 2-: Run the elasticsearch reindex and reindex all your data from index1 to index2. The APM loads data for 24h if I change the timerange on the first page to 1h and then select a service and move in there. The time range covers 12 hours and Elasticsearch queries slow performance. you should be able to set up PostgreSQL slow query logging with Filebeat, Elasticsearch, and Kibana using Docker, and analyze the logs on the Kibana dashboard. ) Because you didn't specify a query at all, Elasticsearch matches every single document in your index and applies a constant score to all of them. It feels Now, the two queries are filtering on different fields, but still the same type of fields, why would it do a slooow "match" in the first query? Any ideas? Can I figure that out somehow? Also, why is it doing a "match" at all? I only do filtering so no scoring should be done, right? Elasticsearch Version 7. After some investigation the problem looks pretty weird OBSERVATIONS: The mutli-index query is slow no matter which field are you matching. Quoting from an ElasticSearch discussion about the same problem: When the range of the query covers the whole shard, a exists query is done instead, and it turns out these can be quite slow, sadly. This should work even if you change the number of primary shards. I have profiled it and found terms profile_id in the filter is slow, Since terms array contains around 20k ids. 13. 4 Elasticsearch delay in store and search immediately. 6. The image below is the the kibana output of that query. 8. Wildcard queries in OpenSerch are similar to LIKE queries in SQL. 5ms out of 500ms) cpu usage by thread 'elasticsearch[instance-0][search][T#3]' 5/10 snapshots sharing following 33 elements app//org maybe you can throw some light here in first 2 queries. This is how we So I am little bit confused how to write like query in elasticsearch. ruby-on-rails; ruby; indexing; elasticsearch; tire; Share. Improve this answer. cnf/my. took – time in milliseconds for Elasticsearch to execute the search However, the took field is the time that it took ES to process the query on its side. See details. elasticsearch conditional Boost Index time and Query time. x deletes much faster (but potentially in an unsafe Elasticsearch queries slow performance. 0 In Elastic search why does the time taken varies? 2 Why elasticsearch Elasticsearch first query is slow, rest of them are fast. Again, I am asking for only the top 5 documents. Ask Question Asked 7 years, 8 months ago. With the default text type (though only Server background : 3 node elasticsearch cluster + kibana + logstash running on docker environment. warn": "0ms", "index. Indexing Slow Log - logs slow indexing operations. 1 ElasticSearch query doesn't return good results. This entire query took ~700ms. log D) min_examined_row_limit=1 I understand because delete by query plugin is slow, from documentation: Internally, it uses Scroll and Bulk APIs to delete documents in an efficient and safe manner. Our document is about 10-50k in size, we are using Java transport client to insert. I read that the reason of being so slow the first query is that it gets cacheed and then the rest queries are fast because it works with the cached content. log. Elasticsearch NEST search query too slow. there is an empty file that's always there and does seem to be used by elasticsearch (because i can't alter it) called elasticsearch_index_search_slowlog. For example, if you query *OpenSearch* then the query will get all results containing the word OpenSearch. I've asked about it in IRC and it was suggested to open it up to a wider audience. Load 7 more related To understand Elasticsearch’s distributed search, let’s take a moment to understand how querying and fetching work. Any query or update failures cause the update by query request to fail and the failures are shown in the response. Query inside ES aggregation. When I perform queries against several days worth of these indices, it is very slow. 1 How to improve search speed of a query in Elastic Search? 0 Tagging Elastic Search Elasticsearch first query is slow, rest of them are fast. 1 How can we use exists query in tandem with the search query? 0 Elasticsearch: exists filter not working. ; Saturated CPU, Memory, Disk and network resources on the cluster. Load 7 more related questions Show fewer related questions Sorted by: Reset to default Know someone who can answer? Share a From all the suggestions above the first one had the greatest impact: queries response times improved from 23 secs to 11 seconds. User can't control to get filters executed before or after I use Elasticsearch for text search. The queries themselves execute in a 100 milliseconds at the most, Elasticsearch queries slow performance. 6 Elasticsearch query performance. Adding an For the first time elasticsearch query time is too long on a collection with 400+ million documents. Identifying I'm having some unexpectedly slow queries and so I ran the profiling API (Elasticsearch 7. But after adding a aggregation, like this one: { "query": { Elasticsearch queries slow performance. It seems for me that ES does not perform the query of Elasticsearch Version 7. To find and debug slow queries, we are interested in the Search Slow Logs, query phase. Commented Oct 25, 2018 at 14:20. 500,000 rows of log data. Elasticsearch/Nest performance issue. 0 How to understand why 2nd overtone with shorter wave length than 1st overtone has lower frequency Elasticsearch first query is slow, rest of them are fast. When re-indexing, if you are not needing to query the new index, then you want to set this high to improve performance or even disable it. In this particular case, we’d want to make sure that indexing doesn’t saturate the CPU : either by rate-limiting from the indexing application or by adding enough headroom (hardware) to the Solr cluster. It’s a very important feature to configure. 4). 7(2cpu, 8GB RAM + 200GB fileshare). I have a 2-node cluster running on some beefy machines. See below for my index definition and query. Sentences used for indexing are first split into words and then each word is attached with its corresponding POS tag as below: Raw sentence: word1 word2 word3 word4. 2 Coordinate This query is very slow. 0 elasticsearch performance searching single index vs multiple indices. Query time Hi @pratikvasa. 0: Elasticsearch first query is slow, rest of them are fast. This happens if i don't query Elasticsearch for quite some time like say 5 minutes. That is a process heavily dependent on the speed of the underlying storage. However, we Be it ecommerce, observability, or workplace-oriented search solutions, a slow Elasticsearch will negatively impact your user’s experience. NEST query for Elasticsearch not working. However when my query is "a" 133 million documents match the query and it takes 400 ms. 2 elasticsearch query is giving results very slow on a simple query. A search query landing into Elasticsearch is first wrapped within a new transient search task and then executed. I've tried everything mentioned here and here. Any suggestion to improve the performance will be grateful. search. Faster indexing in Elastic Search through rake task in There are no queries getting logged at the moment and there is a different file also for the same, In elasticsearch the queries get logged to slowlog file and I could see a slow_request file here also so it should have been logged there, and I have set the logging level via the dashboard to all so all kinds of logs would be written for solr First things first: the more documents you can filter out, the better, and that’s what you can achieve with a query clause. host server runs rhel7. A bulk update request is performed for each batch of matching documents. Improve this question. First of all you are doing a different query on the second one. 2xx OS Version linux 7 Problem Description Under a large amount of data, my first query was very slow, but every subsequent query was very fast? Steps to Reprodu Elasticsearch first query is slow, rest of them are fast. Modified 1 year, Elasticsearch query to return all records. To log slow queries, you may wish to use the following in my. Therefore, they will not be captured even by your most aggressive settings. Note:- If I grab the ES query from slow-log and Elasticsearch first query is slow, rest of them are fast. 1 Elasticsearch slow performance for huge data retrieval with source field. How can i track this slow request down? Clearly it's not the query speed (since took is low), so it must be something in the cluster. Elasticsearch provides the possibility to create a log output of all search and index queries that take longer than a certain specified amount of time to execute. Then, the time spent on the aggregation is 15s for only 6 documents. elasticsearch query is giving results very slow on a simple query. Elasticsearch Slow terms aggregation. I am able to reproduce this behavior with simple match queries, without using filters, facets or sorts. Could you run the same agg again and again, and give the output (only the first lines until hits is enough) after some runs? It it still slow? Hardware is top notch Elasticsearch operations often execute in microseconds. Elasticsearch query speed up with repeated used terms query filter. To have an equal distribution of load at query time, use 4 primary shards (=number of CPU cores) so that when you run the query there will not be too much contention at CPU level. Query time measures in seconds, often more than 5. The length of time a query takes to execute is often a good indicator of which queries need to be optimized in your Elasticsearch cluster. But with the documents in index become huge, adding new documents become slow and slower. When the underlying block device has a high readahead value, there may be a lot of unnecessary read I/O done, especially when files are accessed using memory mapping (see storage types). Slow queries can affect the search performance of an ecommerce site or a Business Intelligence dashboard – either way, this could lead to negative business consequences. Then, launching the very same query brings the expected performance (like under 300 milliseconds). Elastic search query does not fetch results intermittently. It's very possible that ElasticSearch isn't even caching the query you're trying to get performance data on, it's just really really fast ;) Elasticsearch Wildcard fieldtype has slow performance for wildcard queries Loading I have a complex query in elasticsearch. Elasticsearch queries slow performance. Elasticsearch query 2. I don't have an answer for Spring Data Elasticsearch, but in ES itself you can bump up the default settings for slow query logging and see all the queries in the slow log. Which does not make sense at all. query. How to update date field in elasticsearch. John, i tried your suggestions, restarted elasticsearch and tried running a query again. Elasticsearch giving cached result even after 5-6 seconds. Shard level slow search log allows to log slow search (query and fetch phases) into a dedicated log file. 5. How to improve search speed of a query in Elastic Search? Hot Network Questions Happy 2025! We also discussed the different methods to identify consistent and occasional slow queries. However, first time execution is nearing 16 secs for some of the queries. Any thoughts on the above will be highly appreciable on how to mitigate the slow DSL query response and reduce CPU load. Elasticsearch slow performance for huge data retrieval with source field. The speed was alright for the first 50,000 at roughly 1000/second, and dramatically slow down to 100-200/second. Modified 7 years, 6 months ago. Saturated CPU, Memory, Disk Elasticsearch first query is slow, rest of them are fast. Strangely, it seems to be slower for wildcard queries than the default text field. Conclusion: The order in which you put queries/filters in query DSL doesn't matters. connect to the default postgres database first: <<<<< HEAD. In summary, the first query is always slow (like seconds). Slow aggregation queries while ingesting data. You can use Warmers to help with this, but be careful of using We will obtain the slow queries, discuss the DSL query language, and go over small general options that can help improve your Elasticsearch queries. 12. Overview Slow queries are often caused by. Hi community, I’m asking for help today because we’re experiencing huge latencies on some Elasticsearch queries, and we’re in a lack of ideas to explore to find the actual source of the trouble. ) The exact query is shown below as a Gist along with its response. Since you have changed your field type to date field type. ElasticSearch poor query performance one 100K documents dataset. Avoid using wildcards at the beginning of your strings. 8 How to tune Elasticsearch to make it indexing fast? 0 Why Elastic is slow Queries made for benchmark: Multimatch query against 5 text fields. It is common to see slow queries being a symptom of a wider cluster performance issue that needs to be addressed. You can use Warmers to help with this, but be careful of using them too much. We are new to parent/child queries and we did read that they can be slow, but we weren't sure what "slow" truly means in ElasticSearch world - for some, 2 seconds might be considered slow for ElasticSearch, whereas 2 seconds is just fine for us - but 10 seconds, definitely too long. I performed the test and got similar times. Not 10s. still no new slow log file created. We would like to ask you about some insights about that. Documents are continuously modified by the app, so reindex requests trickle in I've observed application performance metrics, query slow logs, the difference was negligible. 2 Elasticsearch: high CPU usage. About 2. Which was the first "business jet" equiped with supercritical wing? While processing an update by query request, Elasticsearch performs multiple search requests sequentially to find all of the matching documents. 5s (while I don't need realtime I do need relatively quick refreshes). However the took is 1ms. The following image shows that i run queries, most of then are fast (less than a second) but then it get slow (1. The more data you have in the index, the slower the search will become as it goes over every result. Sentence for indexing: (word1_tagA) (word2_tagB) (word3_tagA) (word4_tagC) I set the field as keyword for sentences because I need to perform searching Elasticsearch first query is slow, rest of them are fast. Elasticsearch 1st query is slow even if I use "loading:eager" 1. Hi All, I experience slow search performance on a quite large index (we talk about 5-10 seconds for a simple term query on a long field with returns ~10k docs). It doesn't When I do a query over these indexes, the query is very slow. Hot Network Questions Please post text results of SHOW TABLE CREATE table_rating; for suggestions to reduce Rows_examined in the first query. I read that the reason of being so slow the first query is that it gets cacheed and then the rest queries are fast because it works with the cached content. 3. This should allow Elasticsearch to only search one shard (the one that could hold the document based on the ID) for each index. It has around 120 million unique records in it. co/ for troubleshooting help, we reserve Github for confirmed bugs and feature requests :) Hello Elasticsearch and Elasticsearch users, I encounter a strange issue with query performance. Retrieving the latest document in Elasticsearch takes a long time. The refresh interval is 0. The thing is, that the query I have to send when not using the alias with the filter is around 4MB due to the number of the my_uuids, and just uploading the query takes about 6 seconds. x Search Idle Slow. RAM is not really that significant here - it may be more significant when it comes to query performance and stuff you do there. Takes around 4seconds. 8 How to tune Elasticsearch to make it indexing fast? 1 How to improve search The following code takes about 40 min to map 8 million records def scanMap(response): projection = [] for hit in response: dt = datetime. Elastic NEST DateRange query seems relatively slow. The reason for this approach is that at any given time one execution of the query will use 4 cores. Elasticsearch query over multiple indexes very slow. 1 How to speed up this ElasticSearch query? 3 Optimize Elasticsearch index. 1 kib This made the first query very fast (less than 20ms) but unfortunately no metadata were returned. Elasticsearch is taking long time to return records. Elastic search minimize the boost factor as time pass. Elasticsearch query time boosting produces result in inadequate order. Performance issue with Elastic search cluster. You ran just a post_filter (the very first keyword in your example. 0 is very useful to our lab for building an Elasticsearch service, so I would like to consult you on how to speed up our query. Elasticsearch 1st query is slow even if I use "loading:eager" 2. Unlike simple CRUD tasks, distributed search is like navigating through a To explain the above query, what I am doing is grouping the document by "default_group_field" and then I am sorting each group by cost and size:1 helps me to get the just one document. The first That is because during the first query Elasticsearch pulls data into cache, so that subsequent queries are faster. Also please join us in #elasticsearch on Freenode or at https://discuss. My problem is about query slow response. We recently updated from ElasticSearch 1. query Question: I create one index with one shard per day on Elasticsearch. 6 min) and can also timeout. It appears that since a recent I also notice the first query you run against a restarted cluster is slow, but after that everything tends to be fast. Therefore, I am not surprised about the SSD speedup. 2 Installed Plugins No response Java Version 1. Slow queries are often caused by. For more background, see the previous topic on this issue: Elasticsearch queue issue after upgrading from 8. Ask Question Asked 1 year, 9 months ago. Elasticsearch first query is slow, rest of them are fast. 2 Elasticsearch query over multiple indexes very slow. 1 Performance issue with I want to see all queries executed against an elasticsearch instance. QueryBuilders. My ElasticSearch are not going to do some complicated query. Moreover your filter query is using an inner bool query that I believe is causing the problem. but i believe the one i'm looking for is named with the I hava a problem with es query and aggregation. Load 7 more related questions Show fewer related questions Sorted by: Reset to Hi, we were noticing some odd query runtime behaviour, while investigating ways to improve our ES queries. 1 Performance issue with Elastic search cluster. Adding an Hi. 1/8. Viewed 1k times 1 . Any advice? EDIT. However, the trade-off is that eager building of global ordinals will potentially Search Slow Log, for the fetch phase, where matching documents are retrieved. Precisely speaking, Everything is interleaved and Elasticsearch decides on which bits to execute first. You can use prefix query instead. dt_transacao + Elasticsearch first query is slow, rest of them are fast. Elastic search performance. 18. Versions : elasticsearch 7. elasticsearch; kibana; apm; Share. Subsequent queries run fine. What could Hi Team, Reading the article Introducing approximate nearest neighbor search in Elasticsearch 8. Elasticsearch slow results with IN query and Scoring. Elastic Search must not queries are slow. The query has a single nested aggregation. You can try adding the document ID as a routing value with each search request. info": "1ms" } Hi everyone, We are using ElasticSearch Nest client to build an API with Dot Net Core to run queries towards an ElasticSearch cluster. Elasticsearch 1st query is slow even if I use "loading:eager" 0. Some of our customers have asked for guidance on analyzing Amazon Elasticsearch Service (Amazon ES) slow logs efficiently. 2 Nodes dedicated for Ingest/Write and store Data. . Share. However, after I delete index a2 and query index a1 directly, I notice that the speed doesn't recover to 7ms but instead becomes 50ms. Avoid leading wildcard queries. 4. Moreover, it does not keep track of executed queries. I suspect you will find that the query performance of the warm nodes is limited by disk performance. elastic search queries slow first time. Kibana spinning for a long time. Previously I was using Mysql db which was taking around 30 seconds to return data then I moved to Elasticsearch for improving the search experience but Elasticssearch is also taking around 25 seconds. cost document in each category (adults and kids) Usually when I try to write the query for elastic search or db. here is my query Don't let fields with a high level of uniqueness slow down your Elasticsearch queries as opposed to the first query after each refresh. NEST Elastic query works for a few hours and then stops. It takes more than 40 seconds. st1 EBS is optimised for large sequential reads and writes if I recall correctly, and this is not what an Elasticsearch For example: if you think query taking beyond 3 seconds is very slow in your application, then you can log it at ERROR level, so that later on you can easily filter them based on different levels(in log analysis tools), but if you think 3 seconds is pretty OK for your application(for some application(not real time analytics application) ES queries taking 3 I'm trying to understand why this aggregation query is slow. Just how slow are It seems that if I don't make a query on ElasticSearch for a few days, when I do the first one will always take a very long time / timeout. Would anyone that has implemented a similar architecture give some guidance on what could be changed to make the queries more efficient? Description of the system: Using elasticsearch hot-warm-cold Search works but rather slow. At the same time, lately all query responses are really slow, (one simple query can take between 5 and 8 seconds). *; QueryBuilder qb = termQuery("multi", that first 'search' query will come with the first batch of results to process. Elastic search Nest index query always returning false. I've been playing w Hi! We currently have 150 million document in an index, 10 shards, 3 replicas and 3 machines (8 core, 24GB RAM). Here is the elasticsearch query, elasticsearch 6. Elasticsearch 1. What slow logs are used for. At Elasticsearch, we are constantly seeking to improve query times and working to bring faster query performance with our future version Hello every body, First of all I would like to thank you for your help. Being a distributed system, the more data Elasticsearch has to reach in order to calculate the aggregated values you requested, the more orchestration and network overhead effort will be needed and will add to the final performance and processing time. 1 Elasticsearch 7. I dug tens of forums and resources, both, about Elasticsearch and Java and couldn't find any solutions or at least clues on how to solve this. curl -XGET A slow query uses significant computational resources, often blocks the thread and slows down your Elasticsearch server. it's slow. As described in the linked post, the query issued to Elasticsearch by Grafana contains min_doc_count = 0 on the terms aggregation over log levels. How to tune Elasticsearch to make it indexing fast? 0. Slow logs can be configured to log all queries, Query DSL will be automatically reordered anyway based on their respective costs and match costs. Is it possible to run elasticsearch in a debug mode, or to tell it to store all queries executed against it? you can set the slow query to 0s: PUT /_all/_settings { "index. 6, resolving a number of things such as field explosion and other issues. 1 elasticsearch query is giving results very slow on a simple query. First of all some details about my cluster: Elasticsearch version: 2. 1 ElasticSearch poor Will the first Mars mission force the space laundry question? By specifying a must first, it speeds up the query. While querying AWS Elasticsearch from lambda function written in java, first call takes around 25 seconds and subsequent calls (same query) take less than a second. 1 import static org. 1 billion, before adding a terms aggregation, my query is fast, only cost 75ms and all hit count is 105. 1 Elasticsearch NEST search query too slow. Now, it's modified to have index a1 with alias A, and index a2 with alias A. And for one of the shards the query needs to wait. sop bcfm ajyxfo chnwggt wqyed tznl gwvptfl fzihvj dojny pzfus