I am trying to read the data from RDS Postgres via PySpark 3.3 and AWS Glue 5.0 versions using the below command. df = ( self.config.spark_details.spark.read.format("jdbc") .option( "url", f"jdbc:postgresql://{self.postgres_host}:{self.postgres_port}/{self.postgres_database}", ) .option("driver", "org.postgresql.Driver") .option("user", self.postgres_username) .option("password", self.postgres_password) .option("query", query) .load() )…
This has been driving me a little crazy so any help is greatly appreciated I have a list of dataframes df_list with maybe around 500 small dataframes (I ingested csvs and wrote them as parquets, then I read each one…
I am having issues with a series of pipelines that build our data platform Spark databases hosted in Azure Synapse. The pipelines host dataflows which have 'recreate table' enabled. The dataflows extract data and are supposed to recreate the tables…
I am using EMR 7.0.0 version, which has python 3.9, spark 3.5.0, Hadoop 3.3.6 in AWS. I got the error: File "/usr/local/lib/python3.9/site-packages/pyspark/python/lib/pyspark.zip/pyspark/sql/readwriter.py", line 740, in csv File "/usr/local/lib/python3.9/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/java_gateway.py", line 1322, in __call__ File "/usr/local/lib/python3.9/site-packages/pyspark/python/lib/pyspark.zip/pyspark/errors/exceptions/captured.py", line 179, in deco File "/usr/local/lib/python3.9/site-packages/pyspark/python/lib/py4j-0.10.9.7-src.zip/py4j/protocol.py",…
I am composing these services in separate docker containers all on the same confluent network: broker: image: confluentinc/cp-server:7.4.0 hostname: broker container_name: broker depends_on: zookeeper: condition: service_healthy ports: - "9092:9092" - "9101:9101" environment: KAFKA_BROKER_ID: 1 KAFKA_ZOOKEEPER_CONNECT: 'zookeeper:2181' KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092…
I am working with a Docker setup for Hadoop and Spark using the following repository: docker-hadoop-spark. My Docker Compose YAML configuration is working correctly, and I am able to run the containers without issues. Here is the YAML configuration: version:…
I have successfully created a mariadb database connection using debezium and kafka When I tried to stream the topic using pyspark this is the output that I get ------------------------------------------- Batch: 0 ------------------------------------------- +------+--------------------------------------------------------------------------------------------------------------------------+ |key |value | +------+--------------------------------------------------------------------------------------------------------------------------+ ||MaxDoe1.4.2.Finalnmysqlmariadbbtruebasecampemployees mysql-bin.000032�r�ȯݭd |…
I am using pyspark to join two tables with 100k rows for each (so not skewed join). It takes longer than 30mins even an hour which I think something is wrong here. The code is just regular join a =…
I am trying to use Visual Studio Code for Spark development. My PySpark code all runs fine, but there is no code completion/hints. How can I add these features for VS Code? I have the Python and Pylance extensions installed.…
I have a Databricks DataFrame with Columns : tno,data_value Output of first Databricks run: tno, data_value 1,hdjsjsjnsns 2,dhjdjdjsnsn 3,jdjsjsjsjsjjs When I run again the same notebook after some time it should generate as: tno, data_value 4,hdjsjsjnsns 5,dhjdjdjsnsn 6,jdjsjsjsjsjjs Just like…