How can Pyspark/SQL be used in Azure Databricks to handle HTML content/TEXT?

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Pyspark/SQL can be used in Azure Databricks to handle HTML content/TEXT by following these steps:

1. Read the HTML content into a string: html_file = open('filename.html', 'r') html_content = html_file.read()
2. Convert the HTML content into plain text using BeautifulSoup library: from bs4 import BeautifulSoup soup = BeautifulSoup(html_content, 'html.parser') plain_text = soup.get_text()
3. Load the plain text data into a PySpark DataFrame: from pyspark.sql.types import StructType, StructField, StringType schema = StructType([StructField("content", StringType())]) df = spark.createDataFrame([(plain_text,)], schema=schema)
4. Apply PySpark/SQL functions to manipulate the text data as needed, for example: from pyspark.sql.functions import length, trim, regexp_replace df = df.withColumn("num_words", length(trim(regexp_replace("content", "[^A-Za-z0-9 ]+", ""))).alias("num_words"))
5. Save the processed data to a file or database as needed.