73 lines
1.8 KiB
Plaintext
73 lines
1.8 KiB
Plaintext
[[sql_query_examples]]
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=== SQL
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{es} SQL is an X-Pack component that allows SQL-like queries to be executed in
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real-time against {es}. Whether using the REST interface, command-line or JDBC,
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any client can use SQL to search and aggregate data natively inside {es}. One
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can think of {es} SQL as a translator, one that understands both SQL and {es}
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and makes it easy to read and process data in real-time, at scale by leveraging
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{es} capabilities.
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In the following example we will search all the documents that has the field
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`house` equals to `stark`, log the result with the tabular view and then
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manipulate the result to obtain an object easy to navigate.
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[source,js]
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----
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'use strict'
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const { Client } = require('@elastic/elasticsearch')
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const client = new Client({
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cloud: { id: '<cloud-id>' },
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auth: { apiKey: 'base64EncodedKey' }
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})
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async function run () {
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await client.index({
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index: 'game-of-thrones',
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document: {
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character: 'Ned Stark',
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quote: 'Winter is coming.',
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house: 'stark'
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}
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})
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await client.index({
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index: 'game-of-thrones',
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document: {
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character: 'Arya Stark',
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quote: 'A girl is Arya Stark of Winterfell. And I\'m going home.',
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house: 'stark'
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}
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})
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await client.index({
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index: 'game-of-thrones',
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refresh: true,
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document: {
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character: 'Tyrion Lannister',
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quote: 'A Lannister always pays his debts.',
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house: 'lannister'
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}
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})
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const result = await client.sql.query({
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query: "SELECT * FROM \"game-of-thrones\" WHERE house='stark'"
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})
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console.log(result)
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const data = result.rows.map(row => {
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const obj = {}
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for (let i = 0; i < row.length; i++) {
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obj[result.columns[i].name] = row[i]
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}
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return obj
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})
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console.log(data)
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}
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run().catch(console.log)
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----
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