I am new to Pyspark and trying to flatten JSON file using Pyspark but not getting desired output. Here is my JSON file :- { "events": [ { "event_name": "start", "event_properties": ["property1", "property2", "property3"], "entities": ["entityI", "entityII", "entityIII"], "event_timestamp": "2022-05-01…
I need to flatten JSON file so that I can get output in table format.Ihavetried but not getting the output that I want This is my JSON file :- { "records": [ { "name": "A", "last_name": "B", "special_values": [ {…
I configure the apache spark in visual studio code environment. The confiugration of settigs.json is like below, "python.defaultInterpreterPath": "C:\Anaconda3\python.exe", "terminal.integrated.env.windows": { "PYTHONPATH": "C:/spark-3.4.1-bin-hadoop3/python;C:/spark-3.4.1-bin-hadoop3/python/pyspark;C:/spark-3.4.1-bin-hadoop3/python/lib/py4j-0.10.9.7-src.zip;C:/spark-3.4.1-bin-hadoop3/python/lib/pyspark.zip" }, "python.autoComplete.extraPaths": [ "C:\spark-3.4.1-bin-hadoop3\python", "C:\spark-3.4.1-bin-hadoop3\python\pyspark", "C:\spark-3.4.1-bin-hadoop3\python\lib\py4j-0.10.9.7-src.zip", "C:\spark-3.4.1-bin-hadoop3\python\lib\pyspark.zip" ], "python.analysis.extraPaths": [ "C:\spark-3.4.1-bin-hadoop3\python", "C:\spark-3.4.1-bin-hadoop3\python\pyspark", "C:\spark-3.4.1-bin-hadoop3\python\lib\py4j-0.10.9.7-src.zip", "C:\spark-3.4.1-bin-hadoop3\python\lib\pyspark.zip" ] But I…
I am trying to add a new column called timestamp in AWS Glue. My upstream data keys have capital letters. However, after adding the column timestamp, the keys of the remaining columns got lowercased. Experiment 1: Transform - SQL Query…
I have this tableConfig.json inside a ADLS container based location . It has table specific details. { "tableName":"employee", "databaseName": "dbo", "location" : "/mnt/clean/demo", "colsList" : ["emp_id","emp_name","emp_city"] } Now I want to read that tableConfig.json in azure databricks python notebooks. and…
I can't manage to read a JSON file in Python with pyspark because it has multiple records with each variable on a different line. Exemple : { "id" : "id001", "name" : "NAME001", "firstname" : "FIRSTNAME001" } { "id" :…
I am trying to create a emr-serverless application through the EmrServerlessCreateApplicationOperator but I keep facing the error botocore.exceptions.NoRegionError: You must specify a region. I am passing the region like below: create_app = EmrServerlessCreateApplicationOperator( task_id="create_spark_app", job_type="SPARK", release_label="emr-6.6.0", config={"aws_access_key_id":args["aws_access_key_id"], "aws_secret_access_key": args["aws_secret_access_key"], "aws_session_token":…
Using emr-5.33.1 and python3.7.16. Goal is to add petastorm==0.12.1 into EMR. These are the steps to install it in EMR (worked until now) Add all required dependencies of petastorm and itself into s3 folder copy paste all libraries from s3…
I have a view in databricks and in one column the content is a json, example: [{"ECID":100017056,"FIRST_NAME":"Ioannis","LAST_NAME":"CHATZIZYRLIS","TITLE":"Mr","GENDER":"M","DATE_OF_BIRTH":"1995-04-14","PLACE_OF_BIRTH":"Greece","COUNTRY_OF_BIRTH":"GR","NATIONALITY":"GR","RESIDENCE":"GR","ADDRESS":[{"TYPE":1,"STREET_1":"Gizi 6","CITY":"Agios Doe","POSTAL_CODE":"111 34","COUNTRY":"GR","MOBILE":"0000000","EMAIL":" "}]}] I want to retrieve the content of that column so that I can post it to an api. I…
Using PySpark 2.4.7 My goal is to write PySpark DataFrame into specific number of parquet files into AWS S3. Say I want to write PySpark DataFrame into 10 parquet files. This is my approach df.repartition(10).write.mode("append").partitionBy(partition_cols).saveAsTable(<db.table>) This writes 10 parquet files…