Elasticsearch Match Query Multiple Values

Replace text values. I access the listings object based on purpose property value like rent or sale. _update_by_query does exactly what you'd expect: allows you to change the data in documents that match a given query. Then it will match each rating to its parent post, aggregating duplicate post where they exist. We advocate using the match query for (almost) all fields, as it does the right thing based on the mapping of the field being queried. ElasticSearch interpretes the query above like this:. The full text engine can be either Apache Lucene hosted with Jena on a single machine, or Elasticsearch for a large scale enterprise search application where the full text engine is potentially distributed across separate machines. Since this is a query, duplicate results won’t be filtered out. So, typing camera should match on [ "name", "description", "tags"] etc. There is support for geographic coordinates and IP addresses, among other things. Elasticsearch is pretty nifty in that searching for documents that contain an array item requires no additional work to if that document was flat. Multi match query. An Elasticsearch scroll functions like a cursor in a traditional database. When an index is specified as the sort order for a query, the query does not create a new index but rather uses the sort order in an existing table index. I was wondering if any of you had any ideas? Example Document. We also want to mount a volume: /usr/src/app/quotes. So far, I'm thinking about creating a VBA function to return a in-memory table containing the values (one in each row) and use in the query. x but you have to use a matching major version: For Elasticsearch 6. Untokenized fields are best added directly to queries, and not through the query parser. Elasticsearch is a popular open-source search and analytics engine for use cases such as log analytics, real-time application monitoring, and clickstream analysis. A match on query_id allowed us to retrieve the corresponding data values; i. When you create an index on Elasticsearch, you should not specify number_of_shards and number_of_replicas settings in your Elasticsearch API call. Elasticsearch note match_phrase will match the entire literal phrase "struggling serves"; match would have search for "struggling" or "serves". QueryContextInfo for the business. To solve this problem, doc values are introduced. What exactly does this mean, you may ask. This query will. Hi @olivermorris,. When a user searches for biking jacket , searching just the product_name field might not find any matches. …g values Currently the user can set an analyzer on e. Elasticsearch allows us to implement our scoring function, and we simplify it in a way that we define a field “Importance,” which is double value—in our case, greater than 1. A relevance score is Lucene's calculation of how well a document fits a given query; the higher the number, the more relevant Lucene thinks the document is to the query. ElasticSearch fuzzy query can be used in scenarios when the user searches with mistyped keywords or misspellings. when you put a term in quotes on google; multi_match - Multi-field match. When you create an index on Elasticsearch, you should not specify number_of_shards and number_of_replicas settings in your Elasticsearch API call. One option is to create an index type for both products and materials, but the big drawback of this is that we will need multiple queries to find products with their materials. Use the plus and minus icons to the right to add/remove metrics or group by clauses. In the below example offer is a field of type nested. I tried a stripped down version of your query and it seemed to work. Elasticsearch is pretty much rad at clustering. Elasticsearch has an HTTP query interface. QueryContextInfo for the business. For example, if we have 500 documents and have 5 nodes cluster of Elasticsearch, we can split 100 documents in each of the 5 shards. Re: Query matching value from Field 1 to Field 2 containing multiple values You don't need to hard code them, you can use strings in place of them and build your query string on the fly. The Lucene library and tools like Elasticsearch excel at lightning fast retrieval of matching documents for a given query. My purpose is to search for a value across multiple fields and return the count of these values and the distinct value. Improving Relevance and Elasticsearch Query Patterns by Greg Ichneumon Brown on March 15, 2017 The WordPress. Query Creation from Method Name. Some metrics and group by clauses haves options, click the option text to expand the row to view and edit metric or group by options. Parameters • scroll_id – The scroll ID • scroll – Specify how long a consistent view of the index should be maintained for scrolled search. I tried a stripped down version of your query and it seemed to work. The search query selects this document because it has one tag that matches the query — any tag that starts with "imp", but at the aggregation phase, Elasticsearch takes all unique tags in. Now,under the configure tab you can see list of all the fields of the selected document. I really need the fuzzy search but keep the quality of multi_match with cross_fields type. should: The clause (query) should appear in the matching document. What we actually want is a search for the phrase "small mammals". The course focuses on functionality relevant to utilize the capabilities of Elasticsearch as a developer. rangeQuery("price"). A boost value between 0 and 1. In our case, we could filter Categories for which. In this new Refcard, we include code and examples for using Elasticsearch to enable full-text search and Neo4j to power graph-aided search. Defaults to the index. a numeric query, but explicitely setting an analyzer only make sense for input text. Conversely, a term query for “foo” will match analyzed strings “foo bar” and “foo baz”. class: MatchAllQueryBuilder A query that matches on all documents. However, if we want to query a non-full text field for multiple values, we resort to the terms query, which then requires having to explain why we use the match query instead of the term query for single values. Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. termsQuery(param, values); boolQueryBuilder. ElasticPress 1. Introduction. If the corpse had used standard procedure and rotten, it might become distorted, Personal Loans With Bad Credit And On Ssi because of this the "reception of the life powers" would certainly perish as well as the life after loss of life will be in danger of the individual who died. First important to notice is that the query above does a full text search and is not filter query. But I want to do the same thing with match_phrase - i. Can you tell please if it is ok with the following code (I use elasticsearch Java API) query = QueryBuilders. When there are no mandatory clauses, at least one of the optional clauses in a query must match for the full query to match. This query matches all items in the content store, but only returns the first 5 items. min_score: If this is given, all the result documents that have a score lower than this value are rejected. You can apply this technique if you have a user facing UI and if you can access the webanalytics that tracks the user-interaction with…. The rangeQuery() matches documents where a field's value is within a certain range: QueryBuilder matchDocumentsWithinRange = QueryBuilders. NO can be useful for cases where a property is not required to be searchable, but needed for projection. It supports real-time search autocompletion, returning results while the user types their search query. We advocate using the match query for (almost) all fields, as it does the right thing based on the mapping of the field being queried. This list often creates odd side effects with matching. The command you must run to install different version of the client is:. Elasticsearch returns 211 results (L10) for this query each with a _score value of 0. An Elasticsearch query can retrieve large numbers of documents from a single search request. Elasticsearch query examples with Golang I've heard of Elasticsearch quite a while ago but started using around 6-7 months ago. max_expansions specifies the maximum number of terms that the fuzzy query expands to. The Elasticsearch Query DSL is a powerful and simple way to express queries in Elasticsearch using JSON. How to combine elasticsearch queries. 1 (Mapping change, requires reindex) ElasticPress 1. clauses Leaf query clauses is looking for a value in a field, such as the match, term or range queries. Finds documents which match any field and combines the _score from each field. query (Required) Text, number, boolean value or date you wish to find in the provided. The classes accept any keyword arguments, the dsl then takes all arguments passed to the constructor and serializes them as top-level keys in the resulting dictionary (and thus the resulting json being sent to elasticsearch). Has Child Filter / Has Child Query: Filter/query on child fields, returns the parent object. Elasticsearch is a distributed NoSQL document store search-engine and column-oriented database, whose fast (near real-time) reads and powerful aggregation engine make it an excellent choice as an 'analytics database' for R&D, production-use or both. Elasticsearch is pretty much rad at clustering. This means that the filtered query can be used to wrap just a filter, so that it can be used wherever a query is expected. Also, wildcard will allow stuff like `struggl*. Preferably something like using the terms query, but to match all values in the list. However, if we want to query a non-full text field for multiple values, we resort to the terms query, which then requires having to explain why we use the match query instead of the term query for single values. A clause may be optional, mandatory, or prohibited. Use the NoWordBreaker property to specify whether to match with the whole property value. ElasticSearch is schema-less, and uses JSON instead of XML. Elasticsearch query examples with Golang I've heard of Elasticsearch quite a while ago but started using around 6-7 months ago. In this tutorial, we'll walk through setting up a full-text search application using Docker, Elasticsearch, Node. REGEXP FILTER 24. Multiple Indices. { "openapi": "3. put it all in Base and query from there with data-sources. ingredients:"apples and oranges"~4 would match all of them, including the last one. Also, wildcard will allow stuff like `struggl*. In contrast, Solr does not support this feature. The match query should be the standard query that you reach for whenever you want to query for a full-text or exact value in almost any field. Nested sorting example. Lots of document filters, query filters, the index itself is highly configurable and the ability to sort on multiple parameters is great. RANGE FILTER 23. This is a powerful feature to implement access permissions to documents based on user attributes stored. Elasticsearch note match_phrase will match the entire literal phrase "struggling serves"; match would have search for "struggling" or "serves". The match query is the go-to queryâ€"the first query that you should reach for whenever you need to query any field. Faceted search, or faceted navigation, is a way of browsing and searching for items in a set of data by applying filters on various properties (facets) of the items in the collection. Then it will match each rating to its parent post, aggregating duplicate post where they exist. you’re using the query_string query that we discussed in chapter 4, someone could introduce description:elasticsearch, even if the default searched field is some-thing else. This post is meant as a cheat-sheet entry point into ElasticSearch APIs. What's new in Elasticsearch 5. Supports Multiple Platforms: Lets you use the best search engine for the job or mix-and-match them to handle a wide range of applications. This tutorial is an in depth explanation on how to write queries in Kibana - at the search bar at the top - or in Elasticsearch - using the Query String Query. However I also need to be able to search with must with two values. How To: Select multiple values using the Select By Attributes tool Summary. Brian Sawyer, chief developer of the plug-in, presents this plug-in at the Boston Elasticsearch meetup. Learn how to use term level queries with the Query DSL in Elasticsearch. By Jon Rangel, MongoDB Consulting Engineer. Please note that this course is intended for developers who want to interact with an Elasticsearch cluster in one way or another and not system administrators looking to maintain an Elasticsearch cluster in production. Monitoring Elasticsearch. In Elasticsearch, query string queries are their own breed of query - loads of functionality for full text search rolled into one sweet little package. Query and filter context; Match All Query; Full text queries. An Elasticsearch scroll functions like a cursor in a traditional database. FieldName, value2)); But now I have a list of values. Elasticsearch provides the ability to subdivide the index into multiple pieces called shards. The article discusses fuzzy search in Elasticsearch done by means of a fuzzy matching query, which returns a list of results based on likely relevance even though search argument words and spellings may not exactly match. Otherwise we might analyze e. Build a Search Engine with Node. This is an example how to perform multi-select faceting in ElasticSearch. I'm not trying to answer, but I am trying to clarify the question: If one field must match multiple values, then you can simply search for any one of the values, since they're equal - unless your multiple values are subsets of the one field, in which case it's quite a bit more tricky. In this example: if there are 1 or 2 clauses both are required, if there are 3-9 clauses all but 25% are required, and if there are more than 9 clauses, all but three are required. The match query analyzes any provided text before performing a search. value2) AND (facet2. TERMS FILTER 27. Out of these cookies, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. To override that default value in order to retrieve more or fewer hits, we can add a size parameter to the search request body. operator: or, and: If the query string contains multiple search terms, whether all terms need to match (and) or only one term needs to match (or) for a document to be. Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. should: The clause (query) should appear in the matching document. In this article, we'll take a closer look at why query string queries are special and how you can make use of them. We also want to mount a volume: /usr/src/app/quotes. But what if variations co-occur? "Jesus Alfonso Lopez Diaz" v. The configuration had to match a brand name to a value representing its position on the search results page and another value representing the number of products to display. Elasticsearch is periodically queried and the data is passed to the rule type, which determines when a match is found. YES (the element gets indexed and is searchable). Pagination is supported using the from and size fields in the query. TYPE FILTER. See a simple search query to get all data from document. The Update By Query object¶. Build a Search Engine with Node. By structuring the query as a JSON object you can be very explicit and can dictate exactly what ElasticSeach will return. Please note that this course is intended for developers who want to interact with an Elasticsearch cluster in one way or another and not system administrators looking to maintain an Elasticsearch cluster in production. I tried a stripped down version of your query and it seemed to work. It is open-source and built in Java, which means you can run ElasticSearch on any. The Lucene library and tools like Elasticsearch excel at lightning fast retrieval of matching documents for a given query. An easy way to configure and create an Elasticsearch index. Search can be executed either using a simple, Lucene-based query string or using an extensive JSON-based search query DSL. 23 Useful Elasticsearch Example Queries Basic Match Query. The value elasticsearch is a variable which refers to the elasticsearch service inside our docker-compose. This article is especially focusing on newcomers and anyone new wants to learn or thinking of using ES in their. You can usually work around these restrictions by tokenizing the query string yourself and constructing a compound query involving a prefix query or filter on the last query term and some other sort of match query on the remainder of the query string. 0", "title": "National Data. An analyzer, which the query parser uses, is designed to convert human-entered text to terms. Only documents matching this query will be visible for the role that the DLS is defined for. Parameters • scroll_id – The scroll ID • scroll – Specify how long a consistent view of the index should be maintained for scrolled search. Notes about Elasticsearch. But, usually a query includes criteria that the records must match. Hi, I am very new to elastic searchI am trying to search 1 field with multiple values that are stored in a listI am using a loop but it is not returning any valuesany help pls?. Multi match query. to(100) Providing a field name – e. For example, I have a field which can have multiple value: { "areaId" : [12, 45, 86, 92, 10] } If I want to index documents whose "areaId" field contains 92, or Elasticsearch Users. Introduction. A query can be sorted on multiple fields in ascending or descending order. In this article, we will briefly discuss how Elasticsearch works internally and explain the basic query APIs. In a previous post we saw how to use Elasticsearch to search for our dream job among the ones posted on hacker news. The default search type is query_then_fetch. QueryContextInfo for the business. 2 fixes ALL backwards compatibility issues with Elasticsearch 2. Note that if each datapoint of your query results have multiple value fields like max, min, mean, etc. Elasticsearch provides many other types of queries, such as geo queries, script queries and compound queries. Comparing an ElasticSearch document to a MongoDB one, both can have different structures, but the one in ElasticSearch needs to have the same types for common fields. I want to begin to discuss patterns that I’ve found useful when managing Solr/Elasticsearch. By default, wildcards terms in a query string are not analyzed. Can you tell please if it is ok with the following code (I use elasticsearch Java API) query = QueryBuilders. FieldName, value2)); But now I have a list of values. What is the query language of ElasticSearch ? ElasticSearch uses the Apache Lucene query language, which is called. This blogpost will walk you through a demo that shows how you can use Elasticsearch to build a self-learning search engine. Compound query clauses Compound query clauses wrap other leaf or compound queries and are used to combine multiple queries in a logical fashion (such as the bool or dis_max query), or to alter their behaviour (such as the constant_score query). I access the listings object based on purpose property value like rent or sale. Therefore we will store the material within the product. Property values that are specified in the query are matched against individual terms that are stored in the full-text index. For frequent queries and operational analytics, we use Amazon Elasticsearch Service (Amazon ES) and Kibana for real-time visualization. multiple-display. For instance, what if we want to allow users to filter by multiple directors? In such cases, we'd still want buckets for the other directors, even though there are no documents with them in the director field that match the current query. I am able to access the objects for rent and sale individually. Getting Started ». FULL TEXT SEARCH - Elasticsearch performs linguistic searches against documents and returns the documents that matches the search condition. So once we convert documents into vectors by BERT and store them into Elasticsearch, we can search similar documents with Elasticsearch and BERT. Term aggregation will work for you. YES (the element gets indexed and is searchable). This component connects to a Elasticsearch server to retrieve data and load it into a table. Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. NET program. Replace number, Date/Time. Having said that, I've never found Solr's query syntax wanting, and I've always been able to easily write a custom SearchComponent if needed (more on. The match query analyzes any provided text before performing a search. But since we use a precision step of 16 bits, there can still be op to 2^16=65536 values on the edges. REGEXP FILTER 24. Query multi value field, to match all values passed in. But, usually a query includes criteria that the records must match. This type of query is not optimised for large dataset and may result in. When you create an index on Elasticsearch, you should not specify number_of_shards and number_of_replicas settings in your Elasticsearch API call. In Elasticsearch, query string queries are their own breed of query - loads of functionality for full text search rolled into one sweet little package. These prefix terms help querying fewer terms at search time, which makes search faster: queries typically try to use these terms that match multiple terms and just need to match exact values on the edge of the range. So ElasticSearch has the terms query, which lets me supply multiple values and return a ist of documents where field X matches any of those values. Your instructor. There are several tools external to Relativity that you can use to monitor and manage a Data Grid cluster. Having said that, I've never found Solr's query syntax wanting, and I've always been able to easily write a custom SearchComponent if needed (more on. The primary motivation for this was the support for types being dropped from elasticsearch itself in 7. termsQuery(param, values); boolQueryBuilder. Combining multiple clauses with and, or and not logic becomes more subtle. Compound query clauses Compound query clauses is combining multiple queries,such as the bool. By default no nested_filter is active. In Elasticsearch, query string queries are their own breed of query - loads of functionality for full text search rolled into one sweet little package. The default search type is query_then_fetch. In order to sort by relevance, we need to represent relevance as a value. Elasticsearch uses lucene query syntax, so the same variable would, in this case, be formatted as ("host1" OR "host2" OR "host3"). or logical values. Bad scoring due to different maxDocs of IDF. 1 fixes mapping backwards compatibility issues with Elasticsearch 2. return documents where field X contains a case insensitive match for a term with spaces. Defaults to 1. The Update By Query object enables the use of the _update_by_query endpoint to perform an update on documents that match a search query. Results will return with a score, sorted by that score; entries with both words would have a higher score than an entry with only one of them. The Elasticsearch query editor allows you to select multiple metrics and group by multiple terms or filters. Developers can start building custom, supercharged queries without learning a whole new query language. Lots of different ways to implement your search algorithm: using search rules or a raw search. Elasticsearch. These can be used on their own. Elasticsearch allows us to implement our scoring function, and we simplify it in a way that we define a field “Importance,” which is double value—in our case, greater than 1. Selecting multiple values from the same facet will result in an OR filter between each of the values: (facet1. The CData Drivers support querying multiple indices, but for both the REST and SQL endpoints (as opposed to only the SQL endpoint). Documents Update By Query with Elasticsearch Rafal Kuć on March 21, 2016 February 7, 2019 SIDE NOTE : We run Elasticsearch and ELK trainings , which may be of interest to you and your teammates. The match query is a good default search query to start with when looking to implement full-text search with Elasticsearch. net is a forum dedicated to Microsoft Access, if you want to ask any Access related questions or help other members out, please join our community , the registration is free and takes only one minute. The array could be any length, so I'm not sure if I have to loop through it and add an or filter for each value or if I can pass in the string array to. The DSL has two types of clauses: Leaf clauses: check for particular value in a field (e. Can you tell please if it is ok with the following code (I use elasticsearch Java API) query = QueryBuilders. The match query analyzes any provided text before performing a search. Hi @olivermorris,. Lookup query/match for multiple columns to return multiple values. Multiple conditional specifications can be separated by spaces, each one only being valid for numbers greater than the one before it. First important to notice is that the query above does a full text search and is not filter query. All the data in Elasticsearch is internally stored in Apache Lucene as an inverted index. Note, that this method returns a collection of payloads, because of possibility of using multiple search rules in one query. Such a query might just sort records into a particular order or pick out a few of a table's fields for display. floats in scientific notation like `1. Multiple replacements or translations in Power BI and Power Query A common task when cleaning data is to perform multiple replacements at once. For frequent queries and operational analytics, we use Amazon Elasticsearch Service (Amazon ES) and Kibana for real-time visualization. A relevance score is Lucene's calculation of how well a document fits a given query; the higher the number, the more relevant Lucene thinks the document is to the query. The only formats currently supported are regex values and wildcard. Term level queries in Elasticsearch are used for exact matching of values. This matters because non-injective lookups may map different keys to the same value, which must be accounted for during aggregation, lest query results contain two result values that should have been aggregated into one. 4 and later services offer a number of plugins. Elasticsearch executes complex queries with tremendous speed. You can query multiple Elasticsearch indices in one search operation. Select the document for which you want to build the query. when you put a term in quotes on google; multi_match - Multi-field match. Elasticsearch NXQL Limitations. Painless is a simple, secure scripting language for inline and stored scripts. You’ll see in this example that I don’t like to vacation anywhere that is too hot, and I want to only vacation somewhere that is awesome and that where the name. Query(q => q. The array could be any length, so I'm not sure if I have to loop through it and add an or filter for each value or if I can pass in the string array to. Elasticsearch in Action teaches you how to write applications that deliver professional quality search. This implies to me that after the source has been analyzed and indexed, ES loses knowledge of the multiple values and knows only of tokens and their word positions. Find distinct values, not distinct counts in elasticsearch. Elasticsearch query DSL is fairly not the simplest thing to use, but once you know how to use it it can be very powerful tool. To override that default value in order to retrieve more or fewer hits, we can add a size parameter to the search request body. What exactly does this mean, you may ask. elasticsearch wildcard multiple words (2) To answer your second problem: It cannot be set to fuzzy search. Queries decide not only whether to include a document, but also how relevant that document is. To replace text values. It supports real-time search autocompletion, returning results while the user types their search query. ElasticSearch is probably the key element in our ELK stack, it acts the part of o a database, where we store the log entries and send our queries for retrieving the logs that match our searches. This matters because non-injective lookups may map different keys to the same value, which must be accounted for during aggregation, lest query results contain two result values that should have been aggregated into one. Of course, you can have all fields defined as dynamic fields and create them on the fly, but you still need at least some degree of index configuration. How To: Select multiple values using the Select By Attributes tool Summary. x over a year ago, we got a new scripting language, Painless. So many choices!. All gists Back to GitHub. MindMajix is the leader in delivering online courses training for wide-range of IT software courses like Tibco, Oracle, IBM, SAP,Tableau, Qlikview, Server. Since you’ll be using one query at a time you can use pretty print. Searching for documents with arrays of objects using Elasticsearch Originally posted on ixa. The first signal is that of an exact match to the user query. a numeric query, but explicitely setting an analyzer only make sense for input text. A query that wraps a filter and simply returns a constant score equal to the query boost for every document in the filter. This API helps us to update multiple documents without changing the source. Using the above example, I'd have a string array of division IDs and need to match on any of them. Sort Order with Matching Values. you’re using the query_string query that we discussed in chapter 4, someone could introduce description:elasticsearch, even if the default searched field is some-thing else. I tried a stripped down version of your query and it seemed to work. The cross_fields query does not support fuzzy searching. Full-text search queries and performs linguistic searches against documents. es_host is the address of an Elasticsearch cluster where ElastAlert will store data about its state, queries run, alerts, and errors. Select the document for which you want to build the query. The query language used is acutally the Lucene query language, since Lucene is used inside of Elasticsearch to index data. What's new in Elasticsearch 5. The fiddly bit with top children is that elasticsearch doesn’t know ahead of time how many documents it will lose when the aggregation happens. A fully configurable mapping for each model. Also, wildcard will allow stuff like `struggl*. If you are using multiple versions of Elasticsearch, you need to use multiple versions of the client. Solr doesn't have an equivalent, last I checked. The Update By Query object¶. Painless is a simple, secure scripting language for inline and stored scripts. Elasticsearch provides a full Query DSL which is based on JSON and is responsible for defining queries. Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Searching with Query DSL: Full Text Queries Published on November 12, 2016 by Bo Andersen Now that we have taken a look at how to search with query strings, I will now show you how to perform searches by defining queries within the request body in JSON. The match query analyzes any provided text before performing a search. 1 fixes mapping backwards compatibility issues with Elasticsearch 2. explain: This returns information on how the TD/IF score is calculated for a particular document. Now,under the configure tab you can see list of all the fields of the selected document. value2) AND (facet2. query (Required) Text, number, boolean value or date you wish to find in the provided. This practical guide not only shows you how to search, analyze, and explore data with Elasticsearch, but also helps you deal with the complexities of human language. Results will return with a score, sorted by that score; entries with both words would have a higher score than an entry with only one of them. In this tutorial, we'll walk through setting up a full-text search application using Docker, Elasticsearch, Node. The way the multi_match query is executed internally depends on the type parameter, which can be set to: (default) Finds documents which match any field, but uses the _score from the best field. This tutorial shows some simple ways to use Multi Match Query and several types of them. Query DSL - Elasticsearch Tutorial. 23 Useful Elasticsearch Example Queries Basic Match Query. Some metrics and group by clauses haves options, click the option text to expand the row to view and edit metric or group by options. Find distinct values, not distinct counts in elasticsearch. a numeric query, but explicitely setting an analyzer only make sense for input text. The query supports the full range of the Elasticsearch query DSL, and you can also use user attributes to make the query dynamic. You can use Elasticsearch for small or large applications with billions of documents. Lots of document filters, query filters, the index itself is highly configurable and the ability to sort on multiple parameters is great. Match query is one of the basic and most prominent queries in elasticsearch and is used to search both analyzed and not_analyzed fields. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: