aresa7796 opened a new issue #3533:
URL: https://github.com/apache/hudi/issues/3533
Hi, guys
How to use MOR Table to Merge small file?
**Environment Description**
* Hudi version : 0.8.0
* Spark version : 3.1.2
* Hive version : 3.1.2
* Hadoop version : 3.1.2
* Storage (HDFS/S3/GCS..) : FS
* Running on Docker? (yes/no) : no
**My code**
```
object HudiExample {
def main(args: Array[String]): Unit = {
val config = ConfigFactory.load()
val conf = new SparkConf()
.setMaster("local[*]")
.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")
.set("spark.kryoserializer.buffer.max","512m")
.setAppName("hudi-batch")
val spark =
SparkSession.builder().enableHiveSupport().config(conf).getOrCreate()
spark.sparkContext.setLogLevel("error")
val data =
Seq("""{"timestamp":1628752653,"column1":"123","column2":"234"}""","""{"timestamp":1628752654,"column1":"2","column2":"2","type":
1}""")
import spark.implicits._
val ds = spark.createDataset(data)
var df = spark.read.json(ds)
df = df.selectExpr("uuid() as _track_id","*")
df.write
.format("org.apache.hudi")
.options(getQuickstartWriteConfigs)
.option(DataSourceWriteOptions.TABLE_TYPE_OPT_KEY,DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
.option(DataSourceWriteOptions.STORAGE_TYPE_OPT_KEY,DataSourceWriteOptions.MOR_STORAGE_TYPE_OPT_VAL)
.option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "timestamp")
.option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "_track_id")
.option(HoodieIndexConfig.BLOOM_INDEX_UPDATE_PARTITION_PATH, "true")
.option(HoodieCompactionConfig.PARQUET_SMALL_FILE_LIMIT_BYTES,
104857600)
.option("hoodie.parquet.max.file.size", 134217728)
.option(HoodieIndexConfig.INDEX_TYPE_PROP,
HoodieIndex.IndexType.GLOBAL_BLOOM.name())
.option("hoodie.table.name", "hudi_example")
.mode(SaveMode.Append)
.save("/opt/hudi_example")
}
}
```
I executed this code many times,and multiple small files will be generated.
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