| <!-- |
| ▄▄▄ ██▓███ ▄▄▄ ▄████▄ ██░ ██ ▓█████ ██▓ ▄████ ███▄ █ ██▓▄▄▄█████▓▓█████ |
| ▒████▄ ▓██░ ██▒▒████▄ ▒██▀ ▀█ ▓██░ ██▒▓█ ▀ ▓██▒ ██▒ ▀█▒ ██ ▀█ █ ▓██▒▓ ██▒ ▓▒▓█ ▀ |
| ▒██ ▀█▄ ▓██░ ██▓▒▒██ ▀█▄ ▒▓█ ▄ ▒██▀▀██░▒███ ▒██▒▒██░▄▄▄░▓██ ▀█ ██▒▒██▒▒ ▓██░ ▒░▒███ |
| ░██▄▄▄▄██ ▒██▄█▓▒ ▒░██▄▄▄▄██ ▒▓▓▄ ▄██▒░▓█ ░██ ▒▓█ ▄ ░██░░▓█ ██▓▓██▒ ▐▌██▒░██░░ ▓██▓ ░ ▒▓█ ▄ |
| ▓█ ▓██▒▒██▒ ░ ░ ▓█ ▓██▒▒ ▓███▀ ░░▓█▒░██▓░▒████▒ ░██░░▒▓███▀▒▒██░ ▓██░░██░ ▒██▒ ░ ░▒████▒ |
| ▒▒ ▓▒█░▒▓▒░ ░ ░ ▒▒ ▓▒█░░ ░▒ ▒ ░ ▒ ░░▒░▒░░ ▒░ ░ ░▓ ░▒ ▒ ░ ▒░ ▒ ▒ ░▓ ▒ ░░ ░░ ▒░ ░ |
| ▒ ▒▒ ░░▒ ░ ▒ ▒▒ ░ ░ ▒ ▒ ░▒░ ░ ░ ░ ░ ▒ ░ ░ ░ ░ ░░ ░ ▒░ ▒ ░ ░ ░ ░ ░ |
| ░ ▒ ░░ ░ ▒ ░ ░ ░░ ░ ░ ▒ ░░ ░ ░ ░ ░ ░ ▒ ░ ░ ░ |
| ░ ░ ░ ░░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ ░ |
| --> |
| |
| <!-- |
| Licensed to the Apache Software Foundation (ASF) under one |
| or more contributor license agreements. See the NOTICE file |
| distributed with this work for additional information |
| regarding copyright ownership. The ASF licenses this file |
| to you under the Apache License, Version 2.0 (the |
| "License"); you may not use this file except in compliance |
| with the License. You may obtain a copy of the License at |
| |
| http://www.apache.org/licenses/LICENSE-2.0 |
| |
| Unless required by applicable law or agreed to in writing, |
| software distributed under the License is distributed on an |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| KIND, either express or implied. See the License for the |
| specific language governing permissions and limitations |
| under the License. |
| --> |
| |
| <!DOCTYPE html> |
| <html> |
| <head> |
| <link rel="canonical" href="https://ignite.apache.org/use-cases/spark/sql-queries.html" /> |
| <meta charset="utf-8"> |
| <meta name="viewport" content="width=device-width, initial-scale=1.0"> |
| <title>Fast Apache Spark SQL Queries - Apache Ignite</title> |
| <link media="all" rel="stylesheet" href="/css/all.css?v=1514336027"> |
| <link href="https://netdna.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.css" rel="stylesheet"> |
| <link media="all" rel="stylesheet" href="/css/syntaxhighlighter.css"> |
| <link href='https://fonts.googleapis.com/css?family=Open+Sans:400,300,300italic,400italic,600,600italic,700,700italic,800,800italic' rel='stylesheet' type='text/css'> |
| |
| <!--#include virtual="/includes/sh.html" --> |
| </head> |
| <body> |
| <div id="wrapper"> |
| <!--#include virtual="/includes/header.html" --> |
| |
| <main id="main" role="main" class="container"> |
| <section id="spark-sqlqueries" class="page-section"> |
| <h1 class="first">Accelerate Apache Spark SQL Queries</h1> |
| <div class="col-sm-12 col-md-12 col-xs-12" style="padding:0 0 10px 0;"> |
| <div class="col-sm-6 col-md-6 col-xs-12" style="padding-left:0; padding-right:0"> |
| <p> |
| Running SQL queries using <code>IgniteRDD</code> is orders of magnitude faster than running SQL |
| queries using Spark native RDDs or Data Frame APIs. |
| </p> |
| <div class="page-heading">In-Memory Indexes</div> |
| <p> |
| Spark does not support SQL indexes, resulting in slow SQL queries due to full scans across |
| the whole data set. Such full-scan queries in spark can take minutes and introduce significant |
| wait times, especially when running many queries within the same Spark application. |
| <p> |
| Apache Ignite, on the other hand, supports SQL with <span style="white-space: nowrap;"><code>in-memory indexing</code>.</span> |
| Because of advanced in-memory indexing capabilities, IgniteRDD executes SQL |
| queries 100s of times faster than Spark native RDDs or Data Frames. |
| </p> |
| </div> |
| |
| <div class="col-sm-6 col-md-6 col-xs-12" style="padding-right:0"> |
| <img class="img-responsive" src="/images/spark_integration.png" width="440px" style="float:right;"/> |
| </div> |
| </div> |
| <div class="page-heading">On-Heap and Off-Heap Memory</div> |
| <p> |
| Ignite allows storing data in <i>on-heap</i> as well as <i>off-heap</i> memory. |
| If data is cached in off-heap memory, query indexes will be stored off-heap as well and |
| will not introduce any additional JVM Garbage Collection (GC) overhead. |
| </p> |
| <p> |
| <a href="https://apacheignite-fs.readme.io/docs/ignitecontext-igniterdd#section-running-sql-queries-against-ignite-cache" target="docs"> |
| <b>Run SQL Queries against Ignite Cache <i class="fa fa-angle-double-right"></i></b> |
| </a> |
| </p> |
| </section> |
| </main> |
| |
| <!--#include virtual="/includes/footer.html" --> |
| </div> |
| <!--#include virtual="/includes/scripts.html" --> |
| </body> |
| </html> |
