PySpark Parse JSON from String Column | TEXT File

In this PySpark article I will explain how to parse or read a JSON string from a TEXT/CSV file and convert it into DataFrame columns using Python examples, In order to do this, I will be using the PySpark SQL function from_json(). 1. Read JSON String from a TEXT file…

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Spark Read Json From Amazon S3

Using Spark SQL spark.read.json("path") you can read a JSON file from Amazon S3 bucket, HDFS, Local file system, and many other file systems supported by Spark. Similarly using write.json("path") method of DataFrame you can save or write DataFrame in JSON format to Amazon S3 bucket. In this tutorial, you will…

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PySpark Read JSON file into DataFrame

PySpark SQL provides read.json("path") to read a single line or multiline (multiple lines) JSON file into PySpark DataFrame and write.json("path") to save or write to JSON file, In this tutorial, you will learn how to read a single file, multiple files, all files from a directory into DataFrame and writing DataFrame back to JSON…

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How to Load JSON file into Snowflake table

In this article, you will learn how to load the JSON file from the local file system into the Snowflake table and from Amazon S3 into the Snowflake table. Related: Unload Snowflake table into JSON file Loading JSON file into Snowflake table Loading a JSON data file to the Snowflake…

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Spark Read JSON from multiline

Spark JSON data source API provides the multiline option to read records from multiple lines. By default, spark considers every record in a JSON file as a fully qualified record in a single line hence, we need to use the multiline option to process JSON from multiple lines. Using multiline…

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Spark Read JSON from a CSV file

In this Spark article, you will learn how to parse or read a JSON string from a CSV file into DataFrame or from JSON String column using Scala examples. Assume you have a CSV file with a JSON string in one of the column and you want to parse it…

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Spark Parse JSON from String Column | Text File

In this Spark article, you will learn how to parse or read a JSON string from a TEXT/CSV file and convert it into multiple DataFrame columns using Scala examples. Assume you have a text file with a JSON data or a CSV file with a JSON string in a column,…

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Spark Convert Parquet file to JSON

In this Spark article, you will learn how to convert Parquet file to JSON file format with Scala example, In order to convert first, we will read a Parquet file into DataFrame and write it in a JSON file. What is Apache Parquet Apache Parquet is a columnar file format that…

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Spark Convert Avro file to JSON

In this Spark article, you will learn how to convert Avro file to JSON file format with Scala example, In order to convert first, we will read an Avro file into DataFrame and write it in a JSON file. What is Apache Avro Apache Avro is an open-source, row-based, data serialization…

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Spark read JSON with or without schema

By default Spark SQL infer schema while reading JSON file, but, we can ignore this and read a JSON with schema (user-defined) using spark.read.schema("schema") method. What is Spark Schema Spark Schema defines the structure of the data (column name, datatype, nested columns, nullable e.t.c), and when it specified while reading…

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