TranHuyTiep commented on issue #8340:
URL: https://github.com/apache/hudi/issues/8340#issuecomment-1492861891
> can you provide a simple reproduce step, like `code` or `sql`
Here is my code
`# -*- coding: utf-8 -*-
from pyspark.conf import SparkConf
from pyspark.sql import SparkSession
if __name__ == '__main__':
print("_____________Run______________")
spark_conf = SparkConf()
spark_conf.set("spark.jars.packages",
"org.apache.hudi:hudi-spark3.2-bundle_2.12:0.13.0,org.apache.spark:spark-avro_2.12:3.3.1")
spark_conf.set("spark.serializer",
"org.apache.spark.serializer.KryoSerializer")
spark_conf.set("spark.sql.hive.convertMetastoreParquet", "false")
spark_conf.set("spark.rdd.compress", "true")
sparkSession = (SparkSession
.builder
.appName('read_hudi')
.config(conf=spark_conf)
.getOrCreate())
file_path = "hdfs://hdfs_host:9000/data/dwd/trans_event"
# READ HUDI
df_load = sparkSession.read.format("org.apache.hudi").load(
file_path, inferSchema=True,
header=True
)
# READ
df_load.createOrReplaceTempView("trans_event")
query_e34_trans_raw = """
SELECT transaction_data.profile_id FROM trans_event limit 10
"""
df_load_profile_trans = sparkSession.sql(sqlQuery=query_e34_trans_raw)
df_load_profile_trans.printSchema()
df_load_profile_trans.show(10)
sparkSession.stop()
print("_____________End______________")
`
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