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Pete MacKinnon revised this gist
Dec 20, 2017 . 1 changed file with 13 additions and 2 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -16,7 +16,12 @@ # limitations under the License. # import sys import pyspark from pyspark.sql import SparkSession from pyspark.sql import SQLContext mongo_jars = ["/root/spark2.2/mongo-spark-connector_2.11-2.2.1.jar","/root/spark2.2/mongo-java-driver-3.5.0.jar"] spark = SparkSession \ .builder \ @@ -25,12 +30,18 @@ .config("spark.mongodb.output.uri", "mongodb://127.0.0.1/test.coll") \ .getOrCreate() # get the SparkContext singleton from the JVM (not the pyspark API) context = spark._jvm.org.apache.spark.SparkContext.getOrCreate() # get the MutableURLClassLoader from the JVM loader = spark._jvm.Thread.currentThread().getContextClassLoader() # load jars for our driver AND executors url = spark._jvm.java.net.URL("file:"+mongo_jars[0]) loader.addURL(url) context.addJar(mongo_jars[0]) url = spark._jvm.java.net.URL("file:"+mongo_jars[1]) loader.addURL(url) context.addJar(mongo_jars[1]) urls = loader.getURLs() for p in urls: print(p) -
Pete MacKinnon revised this gist
Dec 5, 2017 . 1 changed file with 0 additions and 2 deletions.There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -16,9 +16,7 @@ # limitations under the License. # from pyspark.sql import SparkSession spark = SparkSession \ .builder \ -
Pete MacKinnon created this gist
Dec 5, 2017 .There are no files selected for viewing
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters. Learn more about bidirectional Unicode charactersOriginal file line number Diff line number Diff line change @@ -0,0 +1,58 @@ from __future__ import print_function # # 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. # import pyspark from pyspark.sql import SparkSession from pyspark.sql import SQLContext spark = SparkSession \ .builder \ .appName("PySpark dynamic jar loading example") \ .config("spark.mongodb.input.uri", "mongodb://127.0.0.1/test.coll") \ .config("spark.mongodb.output.uri", "mongodb://127.0.0.1/test.coll") \ .getOrCreate() # get the MutableURLClassLoader from the JVM loader = spark._jvm.Thread.currentThread().getContextClassLoader() url = spark._jvm.java.net.URL("file:/root/spark2.2/mongo-spark-connector_2.11-2.2.1.jar") loader.addURL(url) url = spark._jvm.java.net.URL("file:/root/spark2.2/mongo-java-driver-3.5.0.jar") loader.addURL(url) urls = loader.getURLs() for p in urls: print(p) logger = spark._jvm.org.apache.log4j logger.LogManager.getRootLogger().setLevel(logger.Level.FATAL) # Save some data characters = spark.createDataFrame([("Bilbo Baggins", 50), ("Gandalf", 1000), ("Thorin", 195), ("Balin", 178), ("Kili", 77), ("Dwalin", 169), ("Oin", 167), ("Gloin", 158), ("Fili", 82), ("Bombur", None)], ["name", "age"]) characters.write.format("com.mongodb.spark.sql").mode("overwrite").save() # print the schema print("Schema:") characters.printSchema() # read from MongoDB collection df = spark.read.format("com.mongodb.spark.sql").load() # SQL df.registerTempTable("temp") centenarians = spark.sql("SELECT name, age FROM temp WHERE age >= 100") print("Centenarians:") centenarians.show()