Aload commented on issue #6102:
URL: https://github.com/apache/hudi/issues/6102#issuecomment-1189706574
> Can you provide the configuration for spark read? I would like to know if
it is due to the use of read optimization.
` System.setProperty("HADOOP_USER_NAME", "hdfs")
val session: SparkSession = SparkSession.builder()
.appName(this.getClass.getName)
.master("local[*]")
.config("spark.yarn.queue", "root.users.hdfs")
.config("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.config("spark.kryoserializer.buffer.max", "512m")
.enableHiveSupport()
.getOrCreate()
session.sparkContext.setLogLevel("ERROR")
private val sourceDf: DataFrame = session
.read
.format("hudi")
//
.option(DataSourceReadOptions.REALTIME_MERGE.key(),REALTIME_SKIP_MERGE_OPT_VAL)
//
.option(DataSourceReadOptions.QUERY_TYPE.key(),QUERY_TYPE_SNAPSHOT_OPT_VAL)
.load("/hoodie/data/ods/ods_equipment_data")
sourceDf.show(1000)
// sourceDf.createTempView("tmp_water")
println(sourceDf.count())
`
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