Solr filter query performance. Modified 5 years, 5 months ago.

Solr filter query performance query. Number of responses received with partial results. What are my options? I have a problem with a search with special characters in solr. Like tokenizers, filters are also instances of TokenStream and thus are producers of tokens. q and have caching / commit tuned. But it did not make a huge difference in this case. We will be limiting updates to 150K The fq filter query parameter in a query to Solr search is used to filter out some documents from the search result without influencing the score of the returned documents. This is causing a performance hit. We recommend that useFilterForSortedQuery should be left as true. The most typical way Solr uses the filterCache is to cache results of each fq search parameter, though there are some other cases as well. – mcacorner. Solr supports several query parsers, offering search application designers great flexibility in controlling how queries are parsed. Since your query is simple, I would try it out. Any number of group commands (e. I want to find all documents that are shared to the group "foo" or the group "bar" or both. field, group. Registry The simplest form of Solr date is the keyword 'NOW' which refers to the current date and time. If the filter queries are optimized and efficiently written, they can help reduce the number of documents that need to be scored and ranked, leading Solr Query Performance on Large Number Of Dynamic Fields. Hot Network Questions Why the About Filters; Tokenizers; Filter Descriptions For simple queries like term or "match all" queries, group caching degrades performance. Can we have multiple FilterQuery in Solr? 2. Imagine that there are fq1, fq2 and fq3. Splitting them up with fq=name:a&fq=type:b caches them separately (see Apache Solr documentation) and could improve performance. Let’s see how to use those features. Registry The filter cache stores the results of any filter queries ("fq" parameters) that Solr is explicitly asked to execute. 1. I can map the value "I" to an integer and store the corresponding integers into solr and do filter query based on integers. Thanks for the performance tip as well! – STW. I'm trying to set up good queries for Solr Meter. I am taking about performance for my scenario. fq will not affect the score of the documents - it's used to filter down the amount of documents returned by the query, not change the score of the document for the given query. Can you add your initial problem much more in detail ? When searching I am using a filter query to remove duplicates: q=*:*&fq={!collapse field=Content} Solr facet query filtering. Complexity of query construction : Managing and maintaining multiple filter queries can become complex and error-prone, especially when dealing with complex filter logic and dependencies between Can be useful to measure and track number of search queries , response times etc. In fact this is a recommended approach for performance -- filters are very When a user runs a search in Solr, the search query is processed by a request handler. Commented Sep 16, 2014 at 12:59. 14). USA Solr Standard Query Parser does not support searching a field for empty/null value. g. Because Solr allocates a separate When you are running in SolrCloud mode these statistics would co-relate to the performance of an individual replica. Use Filter Query ‘fq’ Using Filter Query fq parameter in search is very useful to maximize the performance, it defines a query that can be used to restrict the superset of documents that can For simple filter queries, there is typically no noticeable difference in performance between using a string field or an integer field in Solr. Solr Filter Queries. Those are cached for performance and are NOT used in the relevancy ranking. At first sight, it appeared as a bizarre side-effect, even unrelated (we were thinking) to the just-enabled partial update feature: no indexing was happening behind, and slow queries had a very Filter cache only caches filter queries. This approach allows you to build a more targeted and efficient query by only fetching the results that match the search criteria, rather than fetching all products and then filtering them Get DocSet from cache or First filter query will create implementation of OpenBitSet or as AND of orignal query; So as a consequence performance will be dependent on first filter since for small query SortedIntSet is more efficient and for big BitSet is better. modelling your data slighly different may probably prove much easier to query. Improve Slow Solr Query Performance. fq=field1:foo&fq=field2:bar vs. (Each filter is executed and cached separately. How to cache filter query results in Solr? To cache filter query results in Solr, you can use Solr's filter cache feature. Despite their similar The average number of query terms is about 15. If you transform this query into a filter query it will give better performance most of the time because it will apply the filter on top of a query (that is a subset of your index and that Solr’s caches provide an essential way to improve query performance. Registry -c <name> – Name of the core or collection to create (required). But applying Column Filters (using JAVA API) leads to full table scans which slows the system down. you should instead use this filter at query time. 6 version and in one of my query I need to apply Query and filter Query for some requirement. I believe the documentation is indicating that scoring is only done on the Main Query, not on the Filter Query. 5, although if there's a slam dunk solution in 4. • Query performance inversely proportional to matches (doc frequency) 3. To summarise this, Index of 5000 will be filtered to 500 and then 50 (5000>500>50). For instance, searching for "a*" will form a large OR clause (technically a SpanOr with many terms) for all of the terms in your index for the indicated field that start with the single letter 'a'. Example. fq=(field1:foo) AND (field2:bar) Obviously the first method is more readable and manageable, but I'm sending long queries (suboptimal, but there are The fq parameter defines a query that can be used to restrict the superset of documents that can be returned, without influencing score. This assumes that the field type in question is a string field (or at least a field with a KeywordTokenizer) as the matching happens on the token level (and if you have a analyzed field, it might be split into separate tokens and won't match the regex). Adding a filter expressed as a query to a Solr request is a easy How to Contribute to Solr Documentation; Performance Statistics Reference. timeouts UPDATE. The only spatial types which stand to benefit from this technique are LatLonPointSpatialField and One simple solution is to edit schema. A “soft commit” achieves near-realtime Configuring cache is the most important step in order to maximize the performance. Caches are cleared after To speed up multiple filter queries in Apache Solr, there are a few strategies you can use. Follow Solr query (q) or filter query (fq) 2. 34. TokenFilterFactory interface. 2013-04-29 Comments. Lucene Query Parser. For example, let's assume your maxBooleanClauses equals 4. In addition to that we got the possibility to set filter query cost. Solr query data which matches 2 or more keywords. which have null content. I know that HBase is optimized for fast reads when we know the ROW-KEY but I want to query based on different column values. ; I selected the SolrCloud Monitoring App used to monitor the same Solr cluster. However, using a range query is preferred to prevent inconsitent behaviors when using wildcard within negative subqueries. <maxBooleanClauses>4096</maxBooleanClauses> If for some reason you don't want to increase maxBooleanClauses, you can join groups of terms to a single clause to generate a single query with fewer clauses. Consider using Solr's query time join feature to optimize queries that involve multiple query clauses with "or" operators. field in query. Query performance is impacted ~15% on the Solr server. So we will have 2-3 fields with docValues – Bikas Katwal. , group. Paging with SQL suffers the same performance penalty of paging in Solr queries using start and rows where the distributed query must over-fetch OFFSET + LIMIT documents from each shard and then sort the Solr: Improving Queries Performance. xml From the day Solr 3. Locate the section and ensure that the filterCache tag is uncommented and set to true: See here: enter link description here Parameter cache=false Setting the cache parameter to false we tell Solr not to cache current query results. Ask Question Asked 7 years, 5 months ago. The document sets from each filter query are cached independently. 'NOW' can be used either if no explicit date or date math is specified, or it can be used if date math is specified without an explicit date. Improving Solr Search Query / Filter. SolrException: Too many values for UnInvertedField faceting on field CONTENT. I want to search one keyword under particular search criteria so I'm putting my keyword as 'q' in Solr Query and applying search criteria as 'fq'. Use filter Filter Query can be very useful for speeding up complex queries since the queries specified with fq are cached independently from the main query. Viewed 1k times 2 I'm currently struggling to get decent performance on a ~18M documents core with NRT indexing from a date range query, in Solr 4. timeouts. How do I completely disable the use of all other caches except the filter cache in solr. Tuning (CPU) Queries • Divide and Discover how to optimize Solr performance for large-scale applications in 2025. We are using Solr on Windows with multiple collections. Setting useFilterForSortedQuery in these scenarios can give performance improvement as Solr would use a filter to satisfy the search and cache the results. The q parameter takes your query and execute against the index. Use filter queries to quickly filter logs by Stat (also called aggregation or analytic) facets are useful for displaying information derived from query results, in addition to those results themselves. 2}sum(user_ranking,editor_ranking) undefined field text -> Would be the case for the field not being defined in the schema. Now I have to do an important premise, when you use the AND operator in a Solr filter query is like to select the intersection between two groups of documents. Tuning (CPU) Queries • Warm those caches – Run expensive queries at the very last – Solr 4. How to Contribute to Solr Documentation; Performance Statistics Reference. For eg. common. Providing a default value will improve performance, and prevent this sort of confusing situation. In addition to a count of errors, mean, 1 minute, 5 minute, and 15 minute rates are also available. Unlike tokenizers, filters also consume tokens from a TokenStream. If found, the filter will be used as the source of document ids, Apache Solr Filter Queries: Integer or String Fields? Published: 26 November 2024. Standard Query Parser Response. So, I can query for: description:Kohler AND productType:Toilet Or I can In the scenario you've described, the recommended approach would be to build the query predicate in the caller method and pass it as an argument to the Solr method (Approach 2). Solr query (q) or filter query (fq) 2. The reason why you'd want to separate these - in addition to the filtering part - is that the cache for The last filter in the above example is a stemmer filter that uses the Porter stemming algorithm. One approach is to optimize your index by using appropriate field types and Follow these five recommendations to optimize your solrconfig. that will execute a query against a remote Solr collection to get back a set of join keys that will be used The impact of filter query performance on Solr search response time can be significant, as filters are used to narrow down the results of a search query before they are ranked and scored by Solr. 10 (CDH 5. You need to transform this query yourself into bar OR (*:* -foo) Regular expressions in Solr is provided by searching with q=field:/regex/. This will find records that have same yearMonthDay_s field value returned by the initial search, and will return records for all Let’s consider an example where you want to use a Solr join query to filter movies by directors that have won an Oscar. xml, or overridden by query-time values in the request. The Solr SQL Module brings the power of SQL querying to Solr by seamlessly combining SQL with Solr’s full-text search capabilities. All of the following sample queries work with Solr’s “bin/solr -e There are (many) tools to do the HTTP requests to Solr, but be sure to use a query profile and sets of queries that actually represent how you're using Solr, otherwise you're just hitting the query cache each single time, or you have data that doesn't represent the actual data in your dataset - which will give you completely irrelevant response Solr 4. Lucene Query Now I want to find all documents that are shared to at least one of a list of given groups. In this situation the filter needs to be negated (exluding documents having any value in the field) so that the query remains valid. The total number of terms is usually more relevant than the field being multivalued. SOLR performance tuning. Any subsequent queries with the same fq paramters will hit the cache and the results will be returned faster. We see the CPU flat lines to 100% on the leader node for several hours, then the server starts to throw OutOfMemory errors, 'PERFORMANCE WARNING: Overlapping onDeckSearchers' starts appearing in the logs, the leaders enter recovery mode, the filter cache and query cache warmup times hit around 60 seconds (normally less than 2 secs), the leader I'm using Solr 3. The example below computes the average price (and other statistics) and would allow a user to gauge whether the The class attribute names a factory class that will instantiate a filter object as needed. Commented Jul 27 Is there any performance or other difference between providing several filter queries as separate fq parameters versus providing a single one with all constraints joined with AND?. 1, and I'm running the query through the admin interface, without checking dismax or any other option. Solr filter query including NOT and OR. solr filter query on document value. * ph. strField type is better from a performance point of view? solr; latency; Share. Follow edited Jul 8, 2019 at 12:11. The only difference between a filter query and a plain-old query (besides memory and caching issues, which you might want to also think about) is that a filter query doesn't affect the relevancy scores at all. The hashDocSet is an optimization specified in the solrconfig. Solr *:* and 2 Filter queries VS. If the user selects filter by country(eg. */ query is slowish; combined with AND query is slow too; Setting either one of those query parts as filter doesn't work, the performance is still bad! Is there a way to instruct solr to perform a search for the second query on the results of the first (to improve When you are running in SolrCloud mode these statistics would co-relate to the performance of an individual replica. You typically want all fq params to be used as graph Pre-Filters on your knn queries, but when users "drill down" on Facets, you want the fq parameters you add to be I strongly recommend an alternative solution where possible, i. Can not create an additional field , and you filter on that ? Depending on the number of addresses you may exceed the max boolean queries supported. xml to define efficient field types and consider the use of docValues for fields that are frequently used for sorting or faceting. Share. A stemmer is basically a set of mapping rules that maps the various forms of a word back to the base, or stem, word from which they derive. If you are not using the “select” handler then the path needs to be changed appropriately. PorterStemFilterFactory. (To learn about tuning cache sizes and making sure a filter cache actually exists, It's mainly based on the default (tutorial) config files for Solr 4. setRows(500); //setRows will set the required batch, you I clicked on the Split Screen button to bring another Sematext Cloud App side by side with the current dashboard. int lastResult=0; //this is for processing the future batch String query = "id:[ lastResult TO *]"; // just considering id for the sake of simplicity SolrQuery solrQuery = new SolrQuery(query). /update. It also describes the syntax and features supported by the main query parsers included with Solr and describes some other parsers that may be useful Some of these meters may be missing or empty for any number of valid reasons. Subsequent queries using the same parameter filter query result in cache hits and rapid returns of results. 9+ only (soon to be released) 9. , fq=(cat1:val1 OR cat2:val2 OR (cat3:(val3 AND val4))) or whatever. Currently I'm building a query like this: sharedTo:"foo" OR sharedTo:"bar" For each group I just add a new OR query part. This parameter can also be used as a filter query (fq) attribute, which tell Solr not to cache filter query results. E. When it's time to use them to limit the number of results returned by a query, this is done using set intersections. q is what you're expected to use for your query, where scoring of each document's relevancy will be done. The first query returns after some 20 seconds (QTime 20000 in the result) while the second one takes only 80 msec (QTime 80). errors UPDATE. Higher performance comes by configuring Solr cache, auto warming, using streaming expressions, and allocating memory. If the requested sort does not include a score, then the filterCache will be checked for a filter matching the query. When i try to search in sol The big caveat is that Solr only checks to see if the top level query is a pure negative query! So this means that a query like bar OR (-foo) is not changed since the pure negative query is in a sub-clause of the top level query. This is also referred to as frange, as seen in the examples below. Performance of such a query might not be very good. The response time for "OR" query is around 1-2seconds(the "AND" query is just about 30ms-40ms ). Also, filters don't influence the score of your documents. You could bring other Apps, for example a You can use the frange query parser to retrieve documents that match a range of values returned by a function: fq={!frange l=10}field(counter,min) The FunctionRangeQParser extends the QParserPlugin and creates a range query over a function. errors: Number of errors encountered by handler. Solr filter on facets. 4 was released its users got a nice feature which allows if the results of a filter query or query should be placed in cache. The fq parameter defines a query that can be used to restrict the superset of documents that can be returned, without influencing score. Filters are cacheable, thus faster. trieInt or solr. If the filters are often identical, a filter cache will speed up things greatly - otherwise the initial query will usually take the most time, with any subsequent queries being sped up because of OS disk caches You might also have to give Solr more memory to work with, so that it can keep Default parameter values are specified in solrconfig. 07 have added a terms query (or terms filter) to more efficiently match many terms in a single field. Is there a way by which we can ask solr to filter the terms before doing intersect to the to_field in Join parser? Our query has a fixed pattern and only has 5 or 6 filter queries (fqs) (no query search term, facets or sorting). This section explains how to specify the query parser to be used. Let's explore whether to index a field in Apache Solr as a string or integer for optimal filter query performance. Am I correct? this is why Solr uses sorted int[] whenever the number of In terms of a performance gain, would it help if we were to have more general fq first (thus limiting the document search space) and then a more special fq? Solr filter-query vs main-query. Result sets, filters and document fields are all cached so that subsequent, Several query parsers share supported query parameters. For more information, Erick Erickson has written a blog post about join performance titled Solr and Joins. Any advise or approach is appreciated. This cache is used for filters for unordered sets of all documents However, it has been benchmarked as four times faster than the English Snowball stemmer, so can provide a performance enhancement. solr search query with boolean parameter. Other parameters: l, The lower bound Filter Queries uses Filter Cache and should be set accordingly for better performance of subsequent the filter queries. This cache is used for filters for unordered sets of all documents The most typical way Solr uses the filterCache is to cache results of each fq search parameter, though there are some other cases as well. A large number of terms are often useful for things like access control lists or security filters. See Searching for a detailed discussion of the fq parameter. . ase. Say I'm trying to query a bunch of documents that have categories and I want to limit the queries to a specified category (as I understand it this would just be using the fq parameter (filter query). Why is this? And as side note: facet. (I facet on brand and the facet is set to ignore the filter query tagged X, so I need to use a filter query. e. Thus, concerning the previous examples: use a single fq containing two mandatory clauses if those clauses appear together often, and use two separate fq parameters if they are relatively independent. single field_a:"A" query is super fast; single field_b:/. I have to implement this in Solr 3. Solr can avoid recalculating the query results for things like this if you use them frequently. Overview. It's all about the difference between lucene filters and queries. ) The most typical way Solr uses the filterCache is to cache results of each fq search parameter, though there are some other cases as well. Since each query will need to be different, I'm assuming a very long list of queries will be necessary, as well as a filter queries text file. An optimization that attempts to use a filter to satisfy a search. Here's how you can enable and configure filter caching in Solr: Open the Solr configuration file (solrconfig. Filter query example: fq={!frange l=0 u=2. This will contain useful debugging info, including the original query string, the parsed query string, and explain info for each document in the <result> block. I edited my question to include my solrconfig. Solr facet. It may not be useful for your precise use case, but many do find them useful. Written by Ilaria Petreti, Information Retrieval/Machine Learning Engineer at Sease. It can be very useful for speeding up complex queries, since the queries specified with fq are cached independently of the main query. Filter cache is used by SolrIndexSearcher for filters. In that user need to select the filter values and also he can search for a particular keyword. Filter query do support function queries with FunctionRangeQParserPlugin. Performance is sensitive to the number of unique terms that are associated with a pattern. When a later query uses the same filter, there’s a cache hit, and filter results are returned The problem is that query performance not so well, as you can imagine. splitting up field queries (I was already using field queries everywhere it was possible, but I was combining them in one fq for each query fq=name:a AND type:b. The document will soar to 80,000,000, however, the performance should keep in 500ms-1s query. I know the usefulness of the Filter Query. In addition to a count of timeout events, mean, 1 minute, 5 minute, and 15 minute rates are also available. lucene memory growth due to sorting AND hitting all elements in index. When a user runs a search in Solr, the search query is processed by a request handler. However, it has been benchmarked as four times faster than the English Snowball stemmer, so can provide a performance enhancement. Modified 6 years, 4 months ago. Check the Cache statistics on the admin page for the hit ratio, if you see a low hit ratio means the cache is not being used. Ask Question Asked 6 years, 4 months ago. fq=id:(1 OR 2 OR 3) When you are running in SolrCloud mode these statistics would co-relate to the performance of an individual replica. addFilterQuery performs with only AND operator and involves on setQuery results. 3. Modified 7 years, 5 months ago. You can reduce the average response time from seconds to milliseconds. The size for the documentCache should always be greater than max So, you can certainly build up a query, e. e. handlerStart UPDATE. xml settings and avoid the most-common Solr search performance issues: 1. See Defining index field types. Query optimization: Solr may not optimize the execution of multiple filter queries efficiently, leading to suboptimal query performance and results. totalTime. In some particular cases i'm able to do filtering based on different fields, but sometimes (like 30-40% of all queries) i'm still end up with this large id filter. I see a lot of evictions in these caches as its size is zero. I need to define multiple Filter Queries in my query but with OR operation. So the first time I send a query a score will be generated, the second time I run a query the new score generated should be based on the 500 documents of the previous query, or in other words Solr should consider only these 500 docs as the whole index. Follow Filter query on a Solr spatial field is returning all documents with a non-null value. FilterQuery is able to take advantage of the FilterCache, which would be a huge performance boost in comparison to your queries. I am reading the excellent Solr in Action book, and in chapter 7 about querying, it first states that filter queries (e. The sum of all request processing times since the Solr process was started in nanoseconds. Modified 5 years, 5 months ago. There have been many questions over the years about The nodes function wraps the search function and operates over its results. Let's say you have a query like: Solr poor performance on date range query. This is configurable for several types of missing values; see the The <metrics> <missingValues> Element section below. Joining multiple parameters in a Solr filter query. For example, in English the words "hugs", "hugging" and "hugged" are all forms of the stem word "hug". Tuning (CPU) Queries • Use PostFilters for very expensive filters (cache=false, cost > 100) 5. Using solr facets as filters. Is there any way to handle it in Solr? Stores filters built by Solr in response to filters added to queries Document Cache Stores the requested document fields when showing query results Here is a little bit more information on Document Cache. xml that enables an int hash representation for filters (docSets) when the number of items in the set is less than maxSize. So I wanted to know if it is better to store the field as solr. I'm looking for suggestions the most Solr congruent approach to experiment with: tuning to improve the two-query solution performance, or investigating a kind of custom Solr post-filter ( I read Yonik's 2/2012 blog post ). My document has a field "title" and sometimes it can be like "Titanic - 1999" (it has the character "-"). Grouping Examples. Note: although this filter produces correct token graphs, it cannot consume an input token By default, the response from the standard query parser contains one <result> block, which is unnamed. when using a filter on one of this fields in a query on multiple types, we add a non-present condition in the filter, so fq=category:fiction becomes fq=category:fiction (*:* AND -category:*) By this way, all other types (like Person) will pass through this filter, and the filter stands quite atomic and often used - so caching is still useful. solr. Depending on application data and workflow it could be really useful to cache “n” most common queries/filters/documents and avoid doing setQuery performs with by default OR operator(if you are not mention any operator [AND / NOT etc] between the multiple field query) and it search for results in whole database. Note: although this filter produces correct token graphs, it cannot consume an input token How to Contribute to Solr Documentation; Performance Statistics Reference. Also Use the simplest and best fit Solr types to fulfill the required type for your query. Joining Multiple Shard Collections. The filter cache — Stores the filters built by Solr in response to filters added to queries. xml and increase the maxBooleanClauses. I was wondering if there is a performance improvement for having the parameter be an integer instead of a string or something as is usually the You can use Filter Query over normal Query wherever possible. func, group. 1 Query 1 Solr supports several query parsers, offering search application designers great flexibility in controlling how queries are parsed. Filter queries text file: format:Book format:Electronic format:Microfilm ~100 more filters From the solr logs I also see apparent filter queries printed Key Performance Tuning Strategies. method=fc makes the queries run 'forever' and eventually fail with org. 0 I'll eventually be able to move to that. In this case the yearMonthDay_s is mapped back to the yearMonthDay_s field in the same index. Monitor and analyze your Solr server's performance using tools like Solr's The last filter in the above example is a stemmer filter that uses the Porter stemming algorithm. This defaults to the same name as the core or collection. Viewed 2k times 0 . *sear. -d <confdir> – The configuration directory, useful in the SolrCloud mode. Arguments: None. No, I find that filter queries tend to work faster because they limit the result set that can be returned, which makes the sorting easier. When a later query uses the same filter, there’s a cache hit, and filter results are returned quickly from the QUERY. If you know the filter query (be it spatial or not) is fairly unique and not likely to get a cache hit then specify cache="false" as a local-param as seen in the following example. – Michael Dillon Commented Nov 18, 2011 at 5:56 A normal query can perform the exact same function, but it has a very complex scoring system to determine "relevance". Also, it would be good if you know about documents for Solr performance turning and post them here. Because Solr allocates a separate cache for filter queries, the strategic use of filter queries can improve search performance. This will contain The filter caching features in Solr allow for precise control over how filter queries are handled in order to maximize performance. Consult the documentation for the application server you are using (ie: Tomcat, Resin, Jetty, etc Metric name Description; QUERY. Solr - multiple facet. Then you can use filter queries like this. Apache Solr is a full text search engine that is built on Apache Lucene. For use cases involving range queries or sorting, numeric fields (like integers) may offer better performance. Fine tuning to a correct value would help improve the performance significantly. Here is my solr config snippet. totalTime UPDATE. If you search for velvet pants with a filter parameter like fq=category:apparel, Solr will build a filter for that category and add it to its cache. For example, narrowing results by country, language, product type, etc. For example your query can look like this. Use Solr's schema. How is it possible that the additional date range filter query By default, Solr will cache the query in the filter cache. Commented May 23, use the following filter query: -fieldName:[-90,-180 TO 90,180] (the coordinates outside this range are still invalid) Share. Specifically, imagine we have two collections with the following fields: Erick Erickson has also written a blog post about join performance titled Solr and Joins. query for query, without filter. I would like to query this data, based on any column qualifier value, as fast as possible. Thanks, solr; Share. /select. Use filter queries to cache common searches and avoid using expensive operations like wildcard searches at the beginning of a term. Filter Cache. In what order filter applied in Solr and ways to control this? 2. This is with I spent hours trying to filter out values with a relevance score of 0. the different values for color are few, so Lucene/Solr only needs to cache the results of twenty different queries). Metric name Description; QUERY. Hot Network Questions Query performance got much worse after setting all the fields as stored. If the debug parameter is used, then an additional <lst> block will be returned, using the name "debug". A request handler is a Solr plug-in that defines the logic to be used when Solr processes a request. The walk parameter maps a field from the search results to a field in the index. You can quickly test if there are any optimizations that take place by swapping the The most typical way Solr uses the filterCache is to cache results of each fq search parameter, though there are some other cases as well. 10 and Heliosearch . So again, lets try to take only the first part of the wrong query: (currentcompany:((ACME OR HDFC But SOLR gives 15383 results, simply ignores the effect of third query: Query: +((name:john) (-(name:{* TO *}))) //This is the query I was used. Community Over Code NA 2024 Apache Lucene/Solr Birds Of A Feather What you should do is to first create a SolrQuery shown below and set the number of documents you want to fetch in a batch. Sharding and Replication: To obtain maximum query performance, Solr stores several different pieces of information using in-memory caches. /update This cache is used for filters for unordered sets of all documents that match a query. Set the autoSoftCommit feature to 2 minutes. Parameter cache=false I created a user interface for search operation. 0. handlerStart: Epoch time when the handler was registered. QUERY. Use Solr's Distributed Search feature to distribute the query workload across multiple Solr nodes, which can improve performance for "or" queries. Solr sorting, precisionStep and memory usage. Now I would like my final filter query to be : fq=fq1 AND fq2 OR fq3. apache. query, etc. Ask Question Asked 5 years, 5 months ago. Recently, I was looking into performance where the query had leading wildcards. Note: although this filter produces correct token graphs, it cannot consume an input token You have some fq parameters that are re-used on many requests (even when you don’t use search dense vector fields) that you wish to be used as Pre-Filters when you do search dense vector fields. Learn about hardware considerations, JVM settings, indexing strategies, sharding, replication, query optimization, and advanced techniques. -n <configName> – The configuration name. You can also use the cost option to control the order in which non-cached filter queries are evaluated. Collections are having multiple stored and indexed fields with appx 200k documents. Query Performance: Queries should be crafted carefully. Multiple Filter Queries(fq) in SOLR. xml. This allows you to order less expensive non-cached filters before expensive non-cached filters. The following sections describe Solr’s common query parameters, which are supported by the search request handlers. To disable result caching, set the cache=false parameter. -p <port> – Port of a local Solr instance to send the create command to; by default the script tries to detect the port by looking for For a filter query in Solr, I need to include all documents not of a certain type, plus any documents of that type which have a value in a certain field. analysis. 1-2 dynamic fields will be used for filter query and 1(price) field will be used for range faceting and range based filter queries. I call this local param in both the query ("q=") and the filter query ("fq="). Is this a bug of Solr or am I doing wrong in query? Merging two query results is an additional solution but I do not want to do extra code implementation if I could do it with a simple query. It also describes the syntax and features supported by the main query parsers included with Solr and describes some other parsers that may be useful Solr’s caches provide an essential way to improve query performance. I tried setting the size of the document and query result cache to zero but still it is not getting disabled. The document cache — Stores the document fields requested when showing query results. xml and schema. I ended up accomplishing this with a workaround that assigns the query function to a local param. fq=title:"Solr in Action") have the benefit that they are often reusable between searches and that their results can be cached independently. It is case sensitive in Solr, but the Lucid query parser will permit it to be in any case. For example, stat facets can be used to provide context to users on an e-commerce site looking for memory. This cache is used for filters for unordered sets of all documents Solr probably doesn't implement negated searches of the index, but filters a preexisting set instead, and probably wouldn't implement *:* as a default if nothing else were specified. Similarly if you are using the “sql” handler or “export” handler , the realtime handler “get”, or any other handler similar statistics can be found for that The following filter query returns zero results (using *:* as query):-startDate:[* TO *] OR startDate:[* TO NOW/DAY+1DAY] and so perform very poorly. Solr caches the results of all queries and filter queries by default. q=author:shakespeare this will match the documents which has 'shakespeare' in the 'author' field. Filter factory classes must implement the org. This should also increase query speed. Factory class: solr. For improved performance, use Solr filter query (fq) parameters instead of q parameters whenever possible. Whenever you have a query like this which uses AND, it is a good idea to consider changing it to use a filter query fq= because that can be faster. Then you can use filter queries (can use multiple filter queries) to filter the results. From my own experience with Solr performance tuning You might also get better query performance by moving them to separate fqs, so that the result of the last fq can be cached separately (i. Each group of related metrics with Solr caches the results of all queries and filter queries by default. Introduction. xml) in a text editor. In these cases, missing values of any type will be returned as null by default so empty values won’t impact averages or histograms. Queries with fq parameters are cached. Indexing Performance: Optimizing document indexing can significantly improve performance. I tried this: fq=(-type_id:(A) OR content:(['' TO *])) But it is excluding documents of type_id B, C, etc. By default, the response from the standard query parser contains one <result> block, which is unnamed. Improve this answer. I couldn't find any straight forward way to do this. The sum of all request processing times since the Solr process was started. Caches can store documents, filters used in queries, and results from previous queries. Solr has the ability to specify if a filter is cached, specify the order filters are evaluated, and specify post filtering. ) may be specified in a single request. The results from filter queries are stored in a cache. The defType This blog post explores whether to index a field in Apache Solr as a string or integer for optimal filter query performance. Improve this question. The big performance gains are when you know when to use fq (filter query) vs. The filter cache allows you to control over how Our query has a fixed pattern and only has 5 or 6 filter queries (fqs) (no query search term, facets or sorting). We passed from an average query time of 10 milliseconds to 500 milliseconds. Our target : promote 50%, that is, at most 500ms-1s per query. It goes on to describe the process of executing a query and that the filter is executed against the index to There can be cases where the same query is requested many times, but with different sort field / ordering. Follow solr filter query range. P99 read latency has to be within 150ms. Use replication to provide fault tolerance and improve query performance. 2. On analysis found that, Solr is scanning all the terms from the from_field irrespective of the q filter mentioned and then tries to do intersect with the to_field terms. ) I would like to make matches on the brand field score higher than matches on body field in the filter query. fq is best for non-"text search" fields with a limited list of values (like make, model, type, category, color) Improve Slow Solr Query Performance. bmuvj kikxi muiilb wlkup vcjtcr nffnpv gvami tse uzyjv avqifm