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Subject [GitHub] [ignite] nizhikov commented on a change in pull request #6963: IGNITE-9732: [Spark] Add joins to Spark Dataframe examples
Date Sat, 19 Oct 2019 06:19:58 GMT
nizhikov commented on a change in pull request #6963: IGNITE-9732: [Spark] Add joins to Spark
Dataframe examples
URL: https://github.com/apache/ignite/pull/6963#discussion_r336724417
 
 

 ##########
 File path: examples/src/main/spark/org/apache/ignite/examples/spark/IgniteDataFrameJoinExample.scala
 ##########
 @@ -0,0 +1,176 @@
+/*
+ * 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.{Integer => JInt, Long => JLong, String => JString}
+
+import org.apache.ignite.cache.query.SqlFieldsQuery
+import org.apache.ignite.configuration.CacheConfiguration
+import org.apache.ignite.spark.IgniteDataFrameSettings._
+import org.apache.ignite.{Ignite, Ignition}
+import org.apache.log4j.{Level, Logger}
+import org.apache.spark.sql.SparkSession
+
+/**
+  * Example application demonstrates the join operations between two dataframes or Spark
tables with data saved in Ignite caches.
+  */
+object IgniteDataFrameJoinExample extends App {
+    /**
+      * Ignite config file.
+      */
+    private val CONFIG = "examples/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("IgniteDataFrameJoinExample")
+            .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.
+
+        sparkDSLJoinExample
+        nativeSparkSqlJoinExample
+    }
+
+    /**
+      * Examples of usage Ignite DataFrame implementation.
+      * Selecting data throw Spark DSL.
+      *
+      * @param spark SparkSession.
+      */
+    def sparkDSLJoinExample(implicit spark: SparkSession): Unit = {
+        println("Querying using Spark DSL.")
+        println
+
+        val persons = spark.read
+          .format(FORMAT_IGNITE)
+          .option(OPTION_TABLE, "person")
+          .option(OPTION_CONFIG_FILE, CONFIG)
+          .load()
+
+        persons.printSchema()
+        persons.show()
+
+        val cities = spark.read
+          .format(FORMAT_IGNITE)
+          .option(OPTION_TABLE, "city")
+          .option(OPTION_CONFIG_FILE, CONFIG)
+          .load()
+
+        persons.printSchema()
+        persons.show()
+
+        val joinResult = persons.join(cities, persons("city_id") === cities("id"))
+          .select(persons("name").as("person"), persons("age"), cities("name").as("city"),
cities("country"))
+
+        joinResult.explain(true)
+        joinResult.printSchema()
+        joinResult.show()
+    }
+
+    /**
+      * Examples of usage Ignite DataFrame implementation.
+      * Registration of Ignite DataFrame for following usage.
+      * Selecting data by Spark SQL query.
+      *
+      * @param spark SparkSession.
+      */
+    def nativeSparkSqlJoinExample(implicit spark: SparkSession): Unit = {
+        println("Querying using Spark SQL.")
+        println
+
+        val persons = spark.read
+          .format(FORMAT_IGNITE)
+          .option(OPTION_TABLE, "person")
+          .option(OPTION_CONFIG_FILE, CONFIG)
+          .load()
+
+        persons.printSchema()
+        persons.show()
+
+        val cities = spark.read
+          .format(FORMAT_IGNITE)
+          .option(OPTION_TABLE, "city")
+          .option(OPTION_CONFIG_FILE, CONFIG)
+          .load()
+
+        persons.printSchema()
+        persons.show()
+
+        // Registering DataFrame as Spark view.
+        persons.createOrReplaceTempView("person")
+        cities.createOrReplaceTempView("city")
+
+        // Selecting data from Ignite throw Spark SQL Engine.
+        val joinResult = spark.sql("SELECT person.name AS person, age, city.name AS city,
country FROM person JOIN city ON person.city_id = city.id")
+
+        joinResult.explain(true)
+        joinResult.printSchema()
+        joinResult.show()
+    }
+
+    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, country VARCHAR) WITH
\"template=replicated\"")).getAll
+
+        cache.query(new SqlFieldsQuery(
+            "CREATE TABLE person (id LONG, name VARCHAR, age INT, 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.
 
 Review comment:
   Whitespace missed.

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