WebDec 10, 2024 · import org.apache.spark.sql.SparkSession object ReadHiveTable extends App { // Create SparkSession with hive enabled val spark = SparkSession.builder ().master (“local [*]”) .appName (“SparkByExamples.com”) .enableHiveSupport () .getOrCreate () // Read table using table () val df = spark.read.table (“emp.employee”) df.show () // Read … WebApr 12, 2024 · If you are a data engineer, data analyst, or data scientist, then beyond SQL you probably find yourself writing a lot of Python code. This article illustrates three ways you can use Python code to work with Apache Iceberg data: Using pySpark to interact with the Apache Spark engine. Using pyArrow or pyODBC to connect to engines like Dremio.
Spark SQL and DataFrames - Spark 3.4.0 Documentation
WebApr 12, 2024 · Step 1: Show the CREATE TABLE statement Step 2: Issue a CREATE EXTERNAL TABLE statement Step 3: Issue SQL commands on your data Step 1: Show the CREATE TABLE statement Issue a SHOW CREATE TABLE command on your Hive command line to see the statement that created the table. SQL Copy WebApr 10, 2024 · In this example, we read a CSV file containing the upsert data into a PySpark DataFrame using the spark.read.format() function. We set the header option to True to use the first row of the CSV ... in an interim
PySpark - Read from Hive Tables
WebOct 31, 2024 · Spark provides HiveContext class to access the hive tables directly in Spark. First, we need to import this class using the import statement like “ from pyspark.sql import HiveContext “. Then, we can use this class to create a context for the hive and read the hive tables into Spark dataframe. WebWorked on reading multiple data formats on HDFS using Scala. • Worked on SparkSQL, created Data frames by loading data from Hive tables and created prep data and stored in AWS S3. Learn more ... WebDec 2, 2024 · You need to save the new data to a temp table and then read from that and overwrite into hive table. cdc_data.write.mode ("overwrite").saveAsTable ("temp_table") Then you can overwrite rows in your target table val dy = sqlContext.table ("temp_table") dy.write.mode ("overwrite").insertInto ("senty_audit.temptable") Reply 22,606 Views 2 Kudos in an interesting manner