Similarly, you can also use theoption("query","sql query"), thequeryoption allows you to specify a custom SQL query to fetch data. This is useful when you need to read a subset of the table, join multiple tables
from pyspark.sql import SparkSession spark = SparkSession.builder \ .config("spark.jars.packages", "com.google.cloud.spark:spark-bigquery-with-dependencies_2.12:0.42.1") \ .getOrCreate() df = spark.read.format("bigquery") \ .load("dataset.table")...
# Import necessary libraries from pyspark.sql import SparkSession from azure.storage.filedatalake import DataLakeFileClient import requests import io import zipfile # Initialize Spark session spark = SparkSession.builder.appName("API to ADLS Gen2").getOrCreate() # API URL (replace with ...