Amazon GlueとClickHouseおよびSparkの統合

import com.amazonaws.services.glue.GlueContext
import com.amazonaws.services.glue.util.GlueArgParser
import com.amazonaws.services.glue.util.Job
import com.clickhouseScala.Native.NativeSparkRead.spark
import org.apache.spark.sql.SparkSession

import scala.collection.JavaConverters._
import org.apache.spark.sql.types._
import org.apache.spark.sql.functions._

object ClickHouseGlueExample {
  def main(sysArgs: Array[String]) {
    val args = GlueArgParser.getResolvedOptions(sysArgs, Seq("JOB_NAME").toArray)

    val sparkSession: SparkSession = SparkSession.builder
      .config("spark.sql.catalog.clickhouse", "com.clickhouse.spark.ClickHouseCatalog")
      .config("spark.sql.catalog.clickhouse.host", "<your-clickhouse-host>")
      .config("spark.sql.catalog.clickhouse.protocol", "https")
      .config("spark.sql.catalog.clickhouse.http_port", "<your-clickhouse-port>")
      .config("spark.sql.catalog.clickhouse.user", "default")
      .config("spark.sql.catalog.clickhouse.password", "<your-password>")
      .config("spark.sql.catalog.clickhouse.database", "default")
      // for ClickHouse cloud
      .config("spark.sql.catalog.clickhouse.option.ssl", "true")
      .config("spark.sql.catalog.clickhouse.option.ssl_mode", "NONE")
      .getOrCreate

    val glueContext = new GlueContext(sparkSession.sparkContext)
    Job.init(args("JOB_NAME"), glueContext, args.asJava)
    import sparkSession.implicits._

    val url = "s3://{path_to_cell_tower_data}/cell_towers.csv.gz"

    val schema = StructType(Seq(
      StructField("radio", StringType, nullable = false),
      StructField("mcc", IntegerType, nullable = false),
      StructField("net", IntegerType, nullable = false),
      StructField("area", IntegerType, nullable = false),
      StructField("cell", LongType, nullable = false),
      StructField("unit", IntegerType, nullable = false),
      StructField("lon", DoubleType, nullable = false),
      StructField("lat", DoubleType, nullable = false),
      StructField("range", IntegerType, nullable = false),
      StructField("samples", IntegerType, nullable = false),
      StructField("changeable", IntegerType, nullable = false),
      StructField("created", TimestampType, nullable = false),
      StructField("updated", TimestampType, nullable = false),
      StructField("averageSignal", IntegerType, nullable = false)
    ))

    val df = sparkSession.read
      .option("header", "true")
      .schema(schema)
      .csv(url)

    // Write to ClickHouse
    df.writeTo("clickhouse.default.cell_towers").append()


    // Read from ClickHouse
    val dfRead = spark.sql("select * from clickhouse.default.cell_towers")
    Job.commit()
  }
}

import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job
from pyspark.sql import Row


## @params: [JOB_NAME]
args = getResolvedOptions(sys.argv, ['JOB_NAME'])

sc = SparkContext()
glueContext = GlueContext(sc)
logger = glueContext.get_logger()
spark = glueContext.spark_session
job = Job(glueContext)
job.init(args['JOB_NAME'], args)

spark.conf.set("spark.sql.catalog.clickhouse", "com.clickhouse.spark.ClickHouseCatalog")
spark.conf.set("spark.sql.catalog.clickhouse.host", "<your-clickhouse-host>")
spark.conf.set("spark.sql.catalog.clickhouse.protocol", "https")
spark.conf.set("spark.sql.catalog.clickhouse.http_port", "<your-clickhouse-port>")
spark.conf.set("spark.sql.catalog.clickhouse.user", "default")
spark.conf.set("spark.sql.catalog.clickhouse.password", "<your-password>")
spark.conf.set("spark.sql.catalog.clickhouse.database", "default")
spark.conf.set("spark.clickhouse.write.format", "json")
spark.conf.set("spark.clickhouse.read.format", "arrow")

# for ClickHouse cloud
spark.conf.set("spark.sql.catalog.clickhouse.option.ssl", "true")
spark.conf.set("spark.sql.catalog.clickhouse.option.ssl_mode", "NONE")


# Create DataFrame
data = [Row(id=11, name="John"), Row(id=12, name="Doe")]
df = spark.createDataFrame(data)


# Write DataFrame to ClickHouse
df.writeTo("clickhouse.default.example_table").append()


# Read DataFrame from ClickHouse
df_read = spark.sql("select * from clickhouse.default.example_table")
logger.info(str(df.take(10)))

job.commit()