ad1happy2go commented on issue #10107:
URL: https://github.com/apache/hudi/issues/10107#issuecomment-1813869857
@haoxie-aws I tried to reproduce this with OSS version but couldn't able to
reproduce. Can you try with the later version. Below is the code I used.
Writer
```
spark = get_spark_session(spark_version="3.2", hudi_version="0.11.0")
def generateDataFrame():
# Define the schema for the DataFrame
schema = StructType([
StructField("uuid", StringType(), True),
StructField("index", StringType(), True),
StructField("timestamp", StringType(), True)
])
# Create a list of Row objects
data = [Row(str(uuid.uuid4()), str(i), str(datetime.now())) for i in
range(100001)]
# Parallelize the data using SparkContext and create an RDD
rdd = spark.sparkContext.parallelize(data)
# Create a DataFrame from the RDD and schema
df = spark.createDataFrame(rdd, schema)
return df
def loop():
# Concatenate Hudi options into a single string
hudi_options = {
"hoodie.table.name": TABLE_NAME,
"hoodie.table.type": "COPY_ON_WRITE",
"hoodie.datasource.write.recordkey.field": "uuid",
"hoodie.datasource.write.precombine.field": "timestamp",
"hoodie.datasource.write.operation": "upsert",
"hoodie.parquet.max.file.size" : "20971520",
"hoodie.parquet.small.file.limit" : "0", # 20MB
"hoodie.keep.max.commits" : "12",
"hoodie.keep.min.commits" : "11",
"hoodie.bulkinsert.sort.mode" : "NONE",
"hoodie.clustering.inline" : "true",
"hoodie.clustering.inline.max.commits" : "2",
"hoodie.clustering.plan.strategy.small.file.limit" : "20971520" , #
20MB
"clustering.plan.strategy.target.file.max.bytes" : "31457280", # 30
MB
"hoodie.metadata.enable" : "true"
}
# Write DataFrame to Hudi
generateDataFrame().write.options(**hudi_options).format("org.apache.hudi") \
.option("hoodie.datasource.write.hive_style_partitioning", "true") \
.mode("append") \
.save(PATH)
if __name__ == "__main__":
for _ in range(1001):
loop()
```
READER
```
spark = get_spark_session(spark_version="3.2", hudi_version="0.11.0")
def loop():
print(spark.read.format("hudi").load(PATH).count())
spark.read.format("hudi").load(PATH).show()
if __name__ == "__main__":
for _ in range(1001):
loop()
```
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