启动spark-shell

spark-shell \
> --jars /opt/software/hudi-spark3.1-bundle_2.12-0.12.0.jar \
> --conf 'spark.serializer=org.apache.spark.serializer.KryoSerializer'\
>   --conf 'spark.sql.extensions=org.apache.spark.sql.hudi.HoodieSparkSessionExtension'

2

hudi内置数据生成器,生成10条json数据

scala> :paste
// Entering paste mode (ctrl-D to finish)

import org.apache.hudi.QuickstartUtils._
import scala.collection.JavaConversions._
import org.apache.spark.sql.SaveMode._
import org.apache.hudi.DataSourceReadOptions._
import org.apache.hudi.DataSourceWriteOptions._
import org.apache.hudi.config.HoodieWriteConfig._
import org.apache.hudi.common.model.HoodieRecord

val tableName="hudi_trips_cow"
val basePath ="file:///tmp/hudi_trips_cow"
val dataGen = new DataGenerator

val inserts=convertToStringList(dataGen.generateInserts(10))

3加载到DF,写入hudi，实现简单etl处理

scala> :paste
// Entering paste mode (ctrl-D to finish)

val df = spark.read.json(spark.sparkContext.parallelize(inserts, 2))
df.write.format("hudi").
  options(getQuickstartWriteConfigs).
  option(PRECOMBINE_FIELD_OPT_KEY, "ts").
  option(RECORDKEY_FIELD_OPT_KEY, "uuid").
  option(PARTITIONPATH_FIELD_OPT_KEY, "partitionpath").
  option(TABLE_NAME, tableName).
  mode(Overwrite).
  save(basePath)

4读取存储数据及注册临时表

scala> :paste
// Entering paste mode (ctrl-D to finish)

val tripsSnapshotDF = spark.read.format("hudi").load(basePath + "/*/*/*/*")
tripsSnapshotDF.createOrReplaceTempView("hudi_trips_snapshot")
spark.sql("select fare, begin_lon, begin_lat, ts from  hudi_trips_snapshot where fare > 20.0").show()