commit	ad5d62ff9faf4e8f4694cb8832f9b51a3d4bf301	[log] [tgz]
author	Chuang Li <64473732+CodeCooker17@users.noreply.github.com>	Fri Sep 15 17:59:04 2023 +0800
committer	GitHub <noreply@github.com>	Fri Sep 15 17:59:04 2023 +0800
tree	78923dd6fd90938835b49a96c8cafb794035902d
parent	d46d5dfd6a5673dd71e9615f3872e41a8e4229a8 [diff]

tree: 78923dd6fd90938835b49a96c8cafb794035902d

README.md

Spark Connector for Apache Doris

Spark Doris Connector

More information about compilation and usage, please visit Spark Doris Connector

License

QuickStart

download and compile Spark Doris Connector from https://github.com/apache/doris-spark-connector, we suggest compile Spark Doris Connector by Doris offfcial image。

$ docker pull apache/doris:build-env-ldb-toolchain-latest

the result of compile jar is like：spark-doris-connector-3.1_2.12-1.0.0-SNAPSHOT.jar
download spark for https://spark.apache.org/downloads.html .if in china there have a good choice of tencent link https://mirrors.cloud.tencent.com/apache/spark/spark-3.1.2/

#download
wget https://mirrors.cloud.tencent.com/apache/spark/spark-3.1.2/spark-3.1.2-bin-hadoop3.2.tgz
#decompression
tar -xzvf spark-3.1.2-bin-hadoop3.2.tgz

config Spark environment

vim /etc/profile
export SPARK_HOME=/your_parh/spark-3.1.2-bin-hadoop3.2
export PATH=$PATH:$SPARK_HOME/bin
source /etc/profile

copy spark-doris-connector-3.1_2.12-1.0.0-SNAPSHOT.jar to spark jars directory。

cp /your_path/spark-doris-connector/target/spark-doris-connector-3.1_2.12-1.0.0-SNAPSHOT.jar  $SPARK_HOME/jars

created doris database and table。

create database mongo_doris;
use mongo_doris;
CREATE TABLE data_sync_test_simple
 (
         _id VARCHAR(32) DEFAULT '',
         id VARCHAR(32) DEFAULT '',
         user_name VARCHAR(32) DEFAULT '',
         member_list VARCHAR(32) DEFAULT ''
 )
 DUPLICATE KEY(_id)
 DISTRIBUTED BY HASH(_id) BUCKETS 10
 PROPERTIES("replication_num" = "1");
INSERT INTO data_sync_test_simple VALUES ('1','1','alex','123');

Input this coed in spark-shell.

import org.apache.doris.spark._
val dorisSparkRDD = sc.dorisRDD(
  tableIdentifier = Some("mongo_doris.data_sync_test"),
  cfg = Some(Map(
    "doris.fenodes" -> "127.0.0.1:8030",
    "doris.request.auth.user" -> "root",
    "doris.request.auth.password" -> ""
  ))
)
dorisSparkRDD.collect()

mongo_doris:doris database name
data_sync_test:doris table mame.
doris.fenodes:doris FE IP:http_port
doris.request.auth.user:doris user name.
doris.request.auth.password:doris password

if Spark is Cluster model,upload Jar to HDFS，add doris-spark-connector jar HDFS URL in spark.yarn.jars.

spark.yarn.jars=hdfs:///spark-jars/doris-spark-connector-3.1.2-2.12-1.0.0.jar

Link：https://github.com/apache/doris/discussions/9486

in pyspark,input this code in pyspark shell command.

dorisSparkDF = spark.read.format("doris")
.option("doris.table.identifier", "mongo_doris.data_sync_test")
.option("doris.fenodes", "127.0.0.1:8030")
.option("user", "root")
.option("password", "")
.load()
# show 5 lines data 
dorisSparkDF.show(5)

Report issues or submit pull request

If you find any bugs, feel free to file a GitHub issue or fix it by submitting a pull request.

Contact Us

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