Pyspark read from azure blob storage

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Sure! Here is an HTML formatted answer explaining how to read data from Azure Blob storage using PySpark, along with some examples:

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Reading Data from Azure Blob Storage using PySpark

PySpark provides the ability to read data from various data sources, including Azure Blob storage. Here is an example of how to read data from Azure Blob storage using PySpark: 


from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .appName("Read from Azure Blob Storage") \
    .config("fs.azure.account.key..blob.core.windows.net", "") \
    .getOrCreate()

# Read data from Azure Blob storage
data = spark.read.format("csv") \
    .option("header", "true") \
    .option("inferSchema", "true") \
    .load("wasbs://@.blob.core.windows.net/")

# Perform operations on the data
# ...

# Show the data
data.show()

Let’s break down the code and explain each part in detail:

  1. Import the required libraries and create a SparkSession:
    2. 
from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .appName("Read from Azure Blob Storage") \
    .config("fs.azure.account.key..blob.core.windows.net", "") \
    .getOrCreate()

    Make sure to replace “” with your Azure Blob storage account name and “” with your storage account access key.

  2. Read data from Azure Blob storage:
    3. 
data = spark.read.format("csv") \
    .option("header", "true") \
    .option("inferSchema", "true") \
    .load("wasbs://@.blob.core.windows.net/")

    In this example, we are reading data from a CSV file. You can change the format to match your data source. Also, replace “” with the name of your container within Azure Blob storage and “” with the path to your file within the container.

    You can add additional options specific to the data source, such as delimiter, encoding, etc.

  3. Perform operations on the data

    4. Once you have read the data into a DataFrame (in this case, named “data”), you can apply various operations and transformations to the data as per your requirements.

  4. Show the data
    5. 
data.show()

    Finally, you can use the “show()” method on the DataFrame to display a preview of the data.

That’s it! You have successfully read data from Azure Blob storage using PySpark.

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