Yuxiang Wei created SPARK-48689:
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Summary: Reading lengthy JSON results in a corrupted record.
Key: SPARK-48689
URL: https://issues.apache.org/jira/browse/SPARK-48689
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 3.5.1
Environment: Ubuntu 22.04, Python 3.11, and OpenJDK 22
Reporter: Yuxiang Wei
When reading a data frame from a JSON file including a very long string, spark
will incorrectly make it a corrupted record even though the format is correct.
Here is a minimal example with PySpark:
{{import json}}
{{import tempfile}}
{{{}from pyspark.sql import SparkSession{}}}{{{}# Create a Spark session{}}}
{{spark = SparkSession.builder \}}
{{ .appName("PySpark JSON Example") \}}
{{{} .getOrCreate(){}}}{{{}# Define the JSON content{}}}
{{data = {}}
{{ "text": "a" * 100000000}}
{{{}}{}}}{{{}# Create a temporary file{}}}
{{with tempfile.NamedTemporaryFile(delete=False, suffix=".json", mode="w") as
tmp_file:}}
{{ # Write the JSON content to the temporary file}}
{{ tmp_file.write(json.dumps(data) + "\n")}}
{{ tmp_file_path = tmp_file.name}}{{ # Load the JSON file into a PySpark
DataFrame}}
{{ df = spark.read.json(tmp_file_path)}}{{ # Print the schema}}
{{ print(df)}}
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