Ramakrishna created SPARK-51360:
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Summary: Spark counts the total no of records twice in forEachBatch
Key: SPARK-51360
URL: https://issues.apache.org/jira/browse/SPARK-51360
Project: Spark
Issue Type: Bug
Components: PySpark, SQL
Affects Versions: 3.5.1
Reporter: Ramakrishna
The data in Partition 0 was executed twice.
Here is the reproduction code; the issue occurs every time.
It appears that the string starting with "0cool" is printed twice.
{code:java}
from pyspark.sql import SparkSession
spark = SparkSession.builder \
.appName("llm hard negs records") \
.master(f"local[8]") \
.getOrCreate()
def process_partition(index, partition):
results = []
s = 0
for _ in partition:
row = {"Result": "cool"}
results.append(row)
s += 1
print(str(index) + "cool" + str(s))
return results
data = list(range(2000))
results_rdd =
spark.sparkContext.parallelize(data).repartition(8).mapPartitionsWithIndex(process_partition)
results_df = results_rdd.toDF(["Query"])
output_path = "/tmp/bc_inputs6"
results_df.write.json(output_path, mode="overwrite")
{code}
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