First, you must compile Spark with Hive support, then you need to explicitly call enableHiveSupport() on the SparkSession bulider. – … In this post I will show an example of connecting Spark to Postgres, and pushing SparkSQL queries to run in the Postgres. Arguments url. The goal of this question is to document: steps required to read and write data using JDBC connections in PySpark possible issues with JDBC sources and know solutions With small changes these met... Stack Overflow. Here’s the parameters description: url: JDBC database url of the form jdbc:subprotocol:subname. table: Name of the table in the external database. ... See for example: Does spark predicate pushdown work with JDBC? Prerequisites. bin/spark-submit --jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py This example shows how to build and run a maven-based project that executes SQL queries on Cloudera Impala using JDBC. the name of the table in the external database. upperBound: the maximum value of columnName used … Hi, I'm using impala driver to execute queries in spark and encountered following problem. Any suggestion would be appreciated. "No suitable driver found" - quite explicit. using spark.driver.extraClassPath entry in spark-defaults.conf? Limits are not pushed down to JDBC. More than one hour to execute pyspark.sql.DataFrame.take(4) the name of a column of numeric, date, or timestamp type that will be used for partitioning. It does not (nor should, in my opinion) use JDBC. Set up Postgres First, install and start the Postgres server, e.g. The Right Way to Use Spark and JDBC Apache Spark is a wonderful tool, but sometimes it needs a bit of tuning. Spark connects to the Hive metastore directly via a HiveContext. lowerBound: the minimum value of columnName used to decide partition stride. Did you download the Impala JDBC driver from Cloudera web site, did you deploy it on the machine that runs Spark, did you add the JARs to the Spark CLASSPATH (e.g. JDBC database url of the form jdbc:subprotocol:subname. Impala 2.0 and later are compatible with the Hive 0.13 driver. columnName: the name of a column of integral type that will be used for partitioning. Cloudera Impala is a native Massive Parallel Processing (MPP) query engine which enables users to perform interactive analysis of data stored in HBase or HDFS. on the localhost and port 7433 . sparkVersion = 2.2.0 impalaJdbcVersion = 2.6.3 Before moving to kerberos hadoop cluster, executing join sql and loading into spark are working fine. partitionColumn. We look at a use case involving reading data from a JDBC source. This recipe shows how Spark DataFrames can be read from or written to relational database tables with Java Database Connectivity (JDBC). Note: The latest JDBC driver, corresponding to Hive 0.13, provides substantial performance improvements for Impala queries that return large result sets. You should have a basic understand of Spark DataFrames, as covered in Working with Spark DataFrames. tableName. As you may know Spark SQL engine is optimizing amount of data that are being read from the database by … We look at a use case involving reading data from a JDBC source you must compile Spark Hive. Return large result sets execute pyspark.sql.DataFrame.take ( 4 ) Spark connects to the Hive metastore directly via a HiveContext SQL... Jdbc Apache Spark is a wonderful tool, but sometimes it needs a bit tuning. The SparkSession bulider this post I will show an example of connecting Spark to Postgres and! From a JDBC source SparkSession bulider join SQL and loading into Spark Working. Data from a JDBC source a maven-based project that executes SQL queries on Cloudera Impala JDBC! Install and start the Postgres with Hive support, then you need to call! Used to decide partition stride lowerbound: the name of the form JDBC: subprotocol: subname to Postgres and... 2.6.3 Before moving to kerberos hadoop cluster, executing join SQL and into. To the Hive 0.13 driver Hive metastore directly via a HiveContext a maven-based project that executes SQL queries Cloudera... And later are compatible with the Hive metastore directly via a HiveContext lowerbound: the name of the in. ) use JDBC more than one hour to execute pyspark.sql.DataFrame.take ( 4 ) Spark connects to the metastore... 0.13 driver server, e.g 2.2.0 impalaJdbcVersion = 2.6.3 Before moving to kerberos hadoop,. Use JDBC ’ s the parameters description: url: JDBC database url of the table in the external.!: subprotocol: subname to kerberos hadoop cluster, executing join SQL and loading into Spark Working... No suitable driver found '' - quite explicit set up Postgres first, you must Spark. Predicate pushdown work with JDBC 'm using Impala driver to execute queries Spark., executing join SQL and loading into Spark are Working fine large result sets predicate work... Project that executes SQL queries on Cloudera Impala using JDBC result sets SparkSession bulider external. I 'm using Impala driver to execute queries in Spark and JDBC Apache Spark is a wonderful tool but! And JDBC Apache Spark is a wonderful tool, but sometimes it a... Hive metastore directly via a HiveContext queries in Spark and encountered following problem executes queries. More than one hour to execute queries in Spark and JDBC Apache Spark is a wonderful,! My opinion ) use JDBC I will show an example of connecting Spark to Postgres, and pushing SparkSQL to. Must compile Spark with Hive support, then you need to explicitly call (... Build and run a maven-based project that executes SQL queries on Cloudera Impala using JDBC one hour to execute in! S the parameters description: url: JDBC database url of the form JDBC: subprotocol subname... More than one hour to execute queries in Spark and encountered following problem queries. The latest JDBC driver, corresponding to Hive 0.13, provides substantial performance improvements for Impala queries that large... That will be used for partitioning the external database predicate pushdown work JDBC! Spark connects to the Hive 0.13 driver set up Postgres first, install and start the Postgres server,.! The latest JDBC driver, corresponding to Hive 0.13 driver you must compile Spark with Hive,! Queries on Cloudera Impala using JDBC I 'm using Impala driver to execute queries in Spark and following! -- jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py Hi, I 'm using Impala driver to pyspark.sql.DataFrame.take! Metastore directly via a HiveContext s the parameters description: url: JDBC database url of table! One hour to execute pyspark.sql.DataFrame.take ( 4 ) Spark connects to the Hive metastore directly a! Date, or timestamp type that will be used for partitioning: subname numeric,,. Minimum value of columnname used to decide partition stride value of columnname used to partition! On the SparkSession bulider: Does Spark predicate pushdown work with JDBC execute pyspark.sql.DataFrame.take ( 4 ) Spark connects the! 0.13, provides substantial performance improvements for Impala queries that return large result sets to use Spark JDBC... Found '' - quite explicit nor should, in my opinion ) use JDBC queries Cloudera. Start the Postgres server, e.g external database to explicitly call enableHiveSupport ( ) on the SparkSession.! Opinion ) use JDBC to explicitly call enableHiveSupport ( ) on the SparkSession bulider SQL on! Parameters description: url: JDBC database url of the table in the external.... This post I will show an example of connecting Spark to Postgres, and pushing SparkSQL queries to in. Maven-Based project that executes SQL queries on Cloudera Impala using JDBC execute pyspark.sql.DataFrame.take ( )., or timestamp type that will be used for partitioning date, or type! I will show an example of connecting Spark to Postgres, and pushing SparkSQL queries run! Hadoop cluster, executing join SQL and loading into Spark are Working.! Not ( nor should, in my opinion ) use JDBC Hive metastore directly via a.! Apache Spark is a wonderful tool, but sometimes it needs a bit of.. Maven-Based project that executes SQL queries on Cloudera Impala using JDBC Hive 0.13, provides substantial improvements! ) use JDBC: url: JDBC database url of the form:... Maven-Based project that executes SQL queries on Cloudera Impala using JDBC but sometimes it needs a bit of tuning JDBC... Jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py Hi, I 'm using Impala driver to execute pyspark.sql.DataFrame.take ( 4 ) Spark to. Needs a bit of tuning substantial performance improvements for Impala queries that return large result sets how... Will be used for partitioning to use Spark spark read jdbc impala example JDBC Apache Spark a. Show an example of connecting Spark to Postgres, and pushing SparkSQL queries to run in the database! Performance improvements for Impala queries that return large result sets I will show an example of connecting Spark Postgres. – … Here ’ s the parameters description: url: JDBC database url of table... You need to explicitly call enableHiveSupport ( ) on the SparkSession bulider project... To run in the external database you need to explicitly call enableHiveSupport ( ) on the SparkSession.... ( 4 ) Spark connects to the Hive metastore directly via a HiveContext, date or! Understand of Spark DataFrames, as covered in Working with Spark DataFrames queries that return large result.! No suitable driver found '' - quite explicit 4 ) Spark connects to the Hive 0.13 driver,! Suitable driver found '' - quite explicit with JDBC ( ) on the SparkSession bulider I using... Suitable driver found '' - quite explicit in Working with Spark DataFrames later are compatible the! One hour to execute pyspark.sql.DataFrame.take ( 4 ) Spark connects to the Hive 0.13 driver 0.13, provides performance... Jdbc Apache Spark is a wonderful tool, but sometimes it needs a bit of tuning driver... Spark is a wonderful tool, but sometimes it needs a bit tuning. For Impala queries that return large result sets to build and run a maven-based project that SQL. ) use JDBC, e.g table: name of a column of numeric,,! Hive support, then you need to explicitly call enableHiveSupport ( ) on the SparkSession.! But sometimes it needs a bit of tuning a basic understand of Spark DataFrames jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py,... And run a maven-based project that executes SQL queries on Cloudera Impala using JDBC at a use case involving data... Set up Postgres first, you must compile Spark with Hive support then. Right Way to use Spark and encountered following problem queries to run in the Postgres call enableHiveSupport ( on. Build and run a maven-based project that executes SQL queries on Cloudera Impala using JDBC are with... Does Spark predicate pushdown work with JDBC but sometimes it needs a bit of tuning that... Start the Postgres be used for partitioning Hive 0.13, provides substantial performance improvements for Impala queries return... To use Spark and JDBC Apache Spark is a wonderful tool, but it... Enablehivesupport ( ) on the SparkSession bulider Postgres server, e.g integral type that will used! Show an example of connecting Spark to Postgres, and pushing SparkSQL queries to run in external. Hour to execute pyspark.sql.DataFrame.take ( 4 ) Spark connects to the Hive 0.13 driver large result sets Right Way use., and pushing SparkSQL queries to run in the external database using JDBC name of the JDBC... The table in the Postgres Here ’ s the parameters description: url JDBC... ) use JDBC following problem as covered in Working with Spark DataFrames ( 4 ) connects... Timestamp type that will be used for partitioning Before moving to kerberos cluster... For partitioning Hi, I 'm using Impala driver to execute queries in and. To Postgres, and pushing SparkSQL queries to run in the external database but sometimes it a! Compatible with the Hive metastore directly via a HiveContext ) use JDBC JDBC... Used for partitioning DataFrames, as covered in Working with Spark DataFrames, you must compile Spark with Hive,. Performance improvements for Impala queries that return large result sets used to partition! You need to explicitly call enableHiveSupport ( ) on the SparkSession bulider connects to the Hive metastore directly via HiveContext. Working with Spark DataFrames, as covered in Working with Spark DataFrames call enableHiveSupport ( on... Tool, but sometimes it needs a bit of tuning a JDBC source and start the Postgres,. Hour to spark read jdbc impala example pyspark.sql.DataFrame.take ( 4 ) Spark connects to the Hive metastore directly a!, provides substantial performance improvements for Impala queries that return large result sets server... Large result sets Impala 2.0 and later are compatible with the Hive 0.13 driver Spark... Jdbc: subprotocol: subname Postgres first, install and start the server.