Spark Connector for Apache Doris

Spark Doris Connector

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

License

Apache License, Version 2.0

QuickStart

1. 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/incubator-doris:build-env-ldb-toolchain-latest

2. the result of compile jar is like：spark-doris-connector-3.1_2.12-1.0.0-SNAPSHOT.jar

3. 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

4. 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

5. 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

6. 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');

   7. 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

8. 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：apache/doris#9486

9. 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.

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Links

• Doris official site - https://doris.apache.org
• Developer Mailing list - [email protected]. Mail to [email protected], follow the reply to subscribe the mail list.
• Slack channel - Join the Slack