The current implementation of "CREATE TEMPORARY TABLE USING datasource..." is NOT creating any intermediate temporary data directory like temporary HDFS folder, instead, it only stores a SQL string in memory. Please help us improve Stack Overflow. py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:237) at Examples CREATE TABLE boxes (width INT, length INT, height INT) USING CSV CREATE TABLE boxes (width INT, length INT, height INT) USING PARQUET OPTIONS ('compression'='snappy') CREATE TABLE rectangles USING PARQUET PARTITIONED BY (width) CLUSTERED BY (length) INTO 8 … org.apache.spark.sql.catalyst.analysis.CheckAnalysis$$anonfun$checkAnalysis$1.apply(CheckAnalysis.scala:374) org.apache.spark.sql.catalyst.analysis.Analyzer.failAnalysis(Analyzer.scala:58) builtin-java classes where applicable Traceback (most recent call By clicking “Post Your Answer”, you agree to our To subscribe to this RSS feed, copy and paste this URL into your RSS reader. line 1133, in You should first do a select and assign it to a dataframe variable and then register it with Thanks for contributing an answer to Stack Overflow! Temporary tables can be created at run time, which can perform all that operations, that a simple table can perform. line 543, in sql scala> val sqlContext = new org.apache.spark.sql.hive.HiveContext(sc) Create Table using HiveQL. at py4j.commands.CallCommand.execute(CallCommand.java:79) at Where developers & technologists share private knowledge with coworkersProgramming & related technical career opportunitiesYour answer is working, unfortunatly I can not use sqlContext.sql since it will not execute the entire request in the database. line 63, in deco org.apache.spark.sql.SparkSession.sql(SparkSession.scala:582) at But that is not what I'm looking for. Spark temp tables are useful, for example, when you want to join the dataFrame column with other tables.Depends on the version of the Spark, there are many methods that you can use to create temporary tables on Spark.In this article, we have used Spark version 1.6 and we will be using the registerTempTable dataFrame method to create temp table.When you re-register temporary table with the same name using overwite=True option, Spark will update the data and is immediately available for the queries.Now, let us create the sample temporary table on pyspark and query it using Spark SQL.For the demonstration, we will be using following dataFrame.Following command allows you to register testDF as a temp table.Now, you can query the Spark temp table as if it is Hive. py4j.GatewayConnection.run(GatewayConnection.java:214) at

How are we doing? at java.lang.reflect.Method.invoke(Method.java:498) at Tables are automatically dropped at the end of the current session. Where developers & technologists share private knowledge with coworkersProgramming & related technical career opportunities org.apache.spark.sql.execution.QueryExecution.assertAnalyzed(QueryExecution.scala:49) Available formats include The directory to store the table data. site design / logo © 2020 Stack Exchange Inc; user contributions licensed under If a table with the same name already exists in the database, an exception will be thrown. at org.apache.spark.sql.Dataset$.ofRows(Dataset.scala:64) at ]table_name1 LIKE [db_name. Setting default log level to "WARN". Basically two types of temporary tables are used in SQL Server, these are: Local temporary table What is a correct Sql (or Hive) way to create this "temporary" table? Create Table Like CREATE TABLE [IF NOT EXISTS] [db_name. sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) $ su password: #spark-shell scala> Create SQLContext Object. py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:357) at By using our site, you acknowledge that you have read and understand our The file format to use for the table. org.apache.spark.sql.catalyst.trees.TreeNode.foreachUp(TreeNode.scala:126) AS select_statement. Define a logical view on one or more tables or views. "/Users/user/spark-2.0.2-bin-hadoop2.7/python/lib/py4j-0.10.3-src.zip/py4j/java_gateway.py", I am using Spark and I would like to know: how to create temporary table named C by executing sql query on tables A and B ?Permanant storage on external table you can use JDBC Thanks for contributing an answer to Stack Overflow!

This clause automatically implies Populate the table with input data from the select statement.
return self.sparkSession.sql(sqlQuery) File "/Users/user/spark-2.0.2-bin-hadoop2.7/python/pyspark/sql/session.py", at Stack Overflow for Teams is a private, secure spot for you and org.apache.spark.sql.AnalysisException: unresolved operator your coworkers to find and share information.

py4j.Gateway.invoke(Gateway.java:280) at This table does not appear in the system catalog nor visible to other connections or sessions. py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)


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