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Load datasource in to dataframe, using Spark DataSource API
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| os.environ['SPARK_CLASSPATH'] = "/path/to/driver/postgresql-9.3-1103.jdbc41.jar" | |
| from pyspark import SparkContext | |
| from pyspark.sql import SQLContext, Row | |
| sc = SparkContext("local[*]", '<JOBNAME>') | |
| sqlctx = SQLContext(sc) | |
| df = sqlctx.load( | |
| source="jdbc", | |
| url="jdbc:postgresql://<HOST>/<DATABASE>?user=<USERNAME>&password=<PASSWORD>", | |
| dbtable="<SCHEMA>.<TABLENAME>") |
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