![]() ![]() ![]() To follow along, just copy the HTTP connection string for your Elasticsearch deployment from the "Overview" page in the Compose administrative web console, supplying the username and password appropriate for your instance. There are some other more advanced usage defaults, but now that we know the basic ones, we'll use the "q" parameter - the query string queries shortcut - for some search examples. Expanded terms will include those from stemming and fuzzy matches, for example. Multiple query terms will be "OR"d together by default, unless you indicate that they make up a phrase by encapsulating them in double-quotes. ![]() If multiple fields are specified for search, then bool is automatically applied.The _all field is generated in the background when your document is indexed unless you've explicitly disabled it via the index metadata. The _all field is a special field that is constructed by concatenating the values of all the other fields in your document so it's got all the terms found elsewhere, making it ideal for full text searching. If no field is specified in the query, then the _all field is searched automatically.Let's run through some basic default settings so we know where we stand when we construct a query using the query string query type: We're going to start by exploring just the query and its syntax since that's the bare bones needed for query string queries, though you'll see that it's chock full of features just on its own. Using the "q" parameter for search is equivalent to the "query" option in JSON-formatted query string queries (which we'll get into more details on later in the article when we look at the setting options). This is a shortcut way of accessing query string queries. If you look at the Elasticsearch documentation for the Search APIs "Search" page, you'll notice all the examples there use the "q" parameter for search. Let's take a closer look at this query type to understand what it can do for us by searching against the IMDB Top 250 Films, which we have loaded into our Elasticsearch instance an index called "top_films" with a document type named "film". Generally, query string queries, and their cousins ( simple query string queries), will be most effective when used in development or QA testing, or when made available to power users who know the syntax like the back of their hand. However, if you just need to do a quick-and-dirty full text search that has some power behind it, then using the "q" parameter in search (the query string query shortcut) is the way to go. Note that the request body format for querying is the recommended approach from Elasticsearch since it is considered robust and provides extensive functionality. Because of this, query string queries use a different syntax than the standard request body we've covered in previous articles, such as Elasticsearch Query-Time Strategies and Techniques for Relevance: Part I and Part II. Search LiteĮlasticsearch: The Definitive Guide explains that the query string query type uses what they call "Search Lite", where all the query parameters are passed in the query string. In this article, we'll take a closer look at why query string queries are special and how you can make use of them. In Elasticsearch, query string queries are their own breed of query - loads of functionality for full text search rolled into one sweet little package. In other words, the final result is the cartesian product between the parent and nested documents.Using Query String Queries in Elasticsearch elasticsearch Free 30 Day Trial Because each parent document can have more than one nested documents, the nested document that matches is flattened. This example finds the nested document ( projects) with a field value ( name) that satisfies the predicate (contains security). POST employees_nested/_bulk?refresh Example 1: Unnesting a nested collection See a problem? Submit issues or edit this page on GitHub. Standalone Elasticsearch Plugin Install. ![]()
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