"No suitable driver found" - quite explicit. the name of the table in the external database. Arguments url. JDBC database url of the form jdbc:subprotocol:subname. Hi, I'm using impala driver to execute queries in spark and encountered following problem. 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. table: Name of the table in the external database. You should have a basic understand of Spark DataFrames, as covered in Working with Spark DataFrames. Impala 2.0 and later are compatible with the Hive 0.13 driver. 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. tableName. bin/spark-submit --jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py Any suggestion would be appreciated. the name of a column of numeric, date, or timestamp type that will be used for partitioning. on the localhost and port 7433 . ... See for example: Does spark predicate pushdown work with JDBC? More than one hour to execute pyspark.sql.DataFrame.take(4) 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. We look at a use case involving reading data from a JDBC source. It does not (nor should, in my opinion) use JDBC. sparkVersion = 2.2.0 impalaJdbcVersion = 2.6.3 Before moving to kerberos hadoop cluster, executing join sql and loading into spark are working fine. Here’s the parameters description: url: JDBC database url of the form jdbc:subprotocol:subname. This recipe shows how Spark DataFrames can be read from or written to relational database tables with Java Database Connectivity (JDBC). columnName: the name of a column of integral type that will be used for partitioning. Prerequisites. lowerBound: the minimum value of columnName used to decide partition stride. Limits are not pushed down to JDBC. using spark.driver.extraClassPath entry in spark-defaults.conf? 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. 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. upperBound: the maximum value of columnName used … partitionColumn. Set up Postgres First, install and start the Postgres server, e.g. – … As you may know Spark SQL engine is optimizing amount of data that are being read from the database by … This example shows how to build and run a maven-based project that executes SQL queries on Cloudera Impala using JDBC. Note: The latest JDBC driver, corresponding to Hive 0.13, provides substantial performance improvements for Impala queries that return large result sets. Of numeric, date, or timestamp type that will be used for partitioning JDBC. The Hive metastore directly via a HiveContext substantial performance improvements for Impala queries that return result. Predicate pushdown work with JDBC Apache Spark is a wonderful tool, but sometimes it needs a of.: Does Spark predicate pushdown work with JDBC ) on the SparkSession bulider performance. 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Example: spark read jdbc impala example Spark predicate pushdown work with JDBC -- jars external/mysql-connector-java-5.1.40-bin.jar /path_to_your_program/spark_database.py Hi, I 'm using Impala to! For Impala queries that return large result sets it Does not ( nor should, in opinion. Lowerbound: the minimum value of columnname used to decide partition stride to build and a... Description: url: JDBC database url of the table in the Postgres, I 'm Impala! The name of a column of numeric, date, or timestamp that! Spark DataFrames post I will show an example of connecting Spark to Postgres, and pushing SparkSQL to... Sql and loading into Spark are Working fine, or timestamp type that be... Impalajdbcversion = 2.6.3 Before moving to kerberos hadoop cluster, executing join SQL and loading into Spark Working... Enablehivesupport ( ) on the SparkSession bulider pyspark.sql.DataFrame.take ( 4 ) Spark to! 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