| /* |
| * 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 KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| package org.apache.ignite.examples.spark |
| |
| import java.lang.{Long ⇒ JLong, String ⇒ JString} |
| |
| import org.apache.ignite.cache.query.SqlFieldsQuery |
| import org.apache.ignite.configuration.CacheConfiguration |
| import org.apache.ignite.{Ignite, Ignition} |
| import org.apache.log4j.{Level, Logger} |
| import org.apache.spark.sql.SparkSession |
| import org.apache.spark.sql.functions._ |
| import org.apache.ignite.spark.IgniteDataFrameSettings._ |
| |
| /** |
| * Example application showing use-cases for Ignite implementation of Spark DataFrame API. |
| */ |
| object IgniteDataFrameExample extends App { |
| /** |
| * Ignite config file. |
| */ |
| private val CONFIG = "config/example-ignite.xml" |
| |
| /** |
| * Test cache name. |
| */ |
| private val CACHE_NAME = "testCache" |
| |
| //Starting Ignite server node. |
| val ignite = setupServerAndData |
| |
| closeAfter(ignite) { ignite ⇒ |
| //Creating spark session. |
| implicit val spark = SparkSession.builder() |
| .appName("Spark Ignite data sources example") |
| .master("local") |
| .config("spark.executor.instances", "2") |
| .getOrCreate() |
| |
| // Adjust the logger to exclude the logs of no interest. |
| Logger.getRootLogger.setLevel(Level.ERROR) |
| Logger.getLogger("org.apache.ignite").setLevel(Level.INFO) |
| |
| // Executing examples. |
| |
| sparkDSLExample |
| |
| nativeSparkSqlExample |
| } |
| |
| /** |
| * Examples of usage Ignite DataFrame implementation. |
| * Selecting data throw Spark DSL. |
| * |
| * @param spark SparkSession. |
| */ |
| def sparkDSLExample(implicit spark: SparkSession): Unit = { |
| println("Querying using Spark DSL.") |
| println |
| |
| val igniteDF = spark.read |
| .format(FORMAT_IGNITE) //Data source type. |
| .option(OPTION_TABLE, "person") //Table to read. |
| .option(OPTION_CONFIG_FILE, CONFIG) //Ignite config. |
| .load() |
| .filter(col("id") >= 2) //Filter clause. |
| .filter(col("name") like "%M%") //Another filter clause. |
| |
| println("Data frame schema:") |
| |
| igniteDF.printSchema() //Printing query schema to console. |
| |
| println("Data frame content:") |
| |
| igniteDF.show() //Printing query results to console. |
| } |
| |
| /** |
| * Examples of usage Ignite DataFrame implementation. |
| * Registration of Ignite DataFrame for following usage. |
| * Selecting data by Spark SQL query. |
| * |
| * @param spark SparkSession. |
| */ |
| def nativeSparkSqlExample(implicit spark: SparkSession): Unit = { |
| println("Querying using Spark SQL.") |
| println |
| |
| val df = spark.read |
| .format(FORMAT_IGNITE) //Data source type. |
| .option(OPTION_TABLE, "person") //Table to read. |
| .option(OPTION_CONFIG_FILE, CONFIG) //Ignite config. |
| .load() |
| |
| //Registering DataFrame as Spark view. |
| df.createOrReplaceTempView("person") |
| |
| //Selecting data from Ignite throw Spark SQL Engine. |
| val igniteDF = spark.sql("SELECT * FROM person WHERE id >= 2 AND name = 'Mary Major'") |
| |
| println("Result schema:") |
| |
| igniteDF.printSchema() //Printing query schema to console. |
| |
| println("Result content:") |
| |
| igniteDF.show() //Printing query results to console. |
| } |
| |
| def setupServerAndData: Ignite = { |
| //Starting Ignite. |
| val ignite = Ignition.start(CONFIG) |
| |
| //Creating first test cache. |
| val ccfg = new CacheConfiguration[JLong, JString](CACHE_NAME).setSqlSchema("PUBLIC") |
| |
| val cache = ignite.getOrCreateCache(ccfg) |
| |
| //Creating SQL tables. |
| cache.query(new SqlFieldsQuery( |
| "CREATE TABLE city (id LONG PRIMARY KEY, name VARCHAR) WITH \"template=replicated\"")).getAll |
| |
| cache.query(new SqlFieldsQuery( |
| "CREATE TABLE person (id LONG, name VARCHAR, city_id LONG, PRIMARY KEY (id, city_id)) " + |
| "WITH \"backups=1, affinityKey=city_id\"")).getAll |
| |
| cache.query(new SqlFieldsQuery("CREATE INDEX on Person (city_id)")).getAll |
| |
| //Inserting some data to tables. |
| var qry = new SqlFieldsQuery("INSERT INTO city (id, name) VALUES (?, ?)") |
| |
| cache.query(qry.setArgs(1L.asInstanceOf[JLong], "Forest Hill")).getAll |
| cache.query(qry.setArgs(2L.asInstanceOf[JLong], "Denver")).getAll |
| cache.query(qry.setArgs(3L.asInstanceOf[JLong], "St. Petersburg")).getAll |
| |
| qry = new SqlFieldsQuery("INSERT INTO person (id, name, city_id) values (?, ?, ?)") |
| |
| cache.query(qry.setArgs(1L.asInstanceOf[JLong], "John Doe", 3L.asInstanceOf[JLong])).getAll |
| cache.query(qry.setArgs(2L.asInstanceOf[JLong], "Jane Roe", 2L.asInstanceOf[JLong])).getAll |
| cache.query(qry.setArgs(3L.asInstanceOf[JLong], "Mary Major", 1L.asInstanceOf[JLong])).getAll |
| cache.query(qry.setArgs(4L.asInstanceOf[JLong], "Richard Miles", 2L.asInstanceOf[JLong])).getAll |
| |
| ignite |
| } |
| } |