生态扩展Spark Doris Connector
doris官网去查找相匹配的spark

spark的安装：

tar -zxvf spark-3.1.2-bin-hadoop3.2.tgz
  mv spark-3.1.2-bin-hadoop3.2 /opt/spark

spark环境配置：vim /etc/profile

export SPARK_HOME=/opt/spark
export PATH=$PATH:$SPARK_HOME/bin

将编译好的spark-doris-connector-3.3_2.12-1.3.0-SNAPSHOT.jar复制到spark的jars目录

cp spark-doris-connector-3.2_2.12-1.3.0-SNAPSHOT.jar /opt/spark/jars/

代码库地址：https://github.com/apache/doris-spark-connector
编译与安装
准备工作
修改custom_env.sh.tpl文件，重命名为custom_env.sh
在源码目录下执行： sh build.sh 根据提示输入你需要的 Scala 2.12与 Spark3.2.3 版本进行编译。

验证：

scala> import org.apache.doris.spark._
import org.apache.doris.spark._

scala>

scala> val doris = spark.sql(
     |     s"""
     |     |CREATE TEMPORARY VIEW spark_doris
     |     |USING doris
     |     |OPTIONS(
     |     | "table.identifier"="demo.example_tbl",
     |     | "fenodes"="10.63.0.181:8030",
     |     | "user"="root",
     |     | "password"=""
     |     |);
     |     |""".stripMargin)
doris: org.apache.spark.sql.DataFrame = []

scala>

scala> spark.sql("SELECT * FROM spark_doris;").show
+-------+----------+----+---+---+-------------------+----+--------------+--------------+
|user_id|      date|city|age|sex|    last_visit_date|cost|max_dwell_time|min_dwell_time|
+-------+----------+----+---+---+-------------------+----+--------------+--------------+
|  10000|2017-10-01|北京| 20|  0|2017-10-01 07:00:00|  35|            10|             2|
|  10001|2017-10-01|北京| 30|  1|2017-10-01 17:05:45|   2|            22|            22|
|  10002|2017-10-02|上海| 20|  1|2017-10-02 12:59:12| 200|             5|             5|
|  10003|2017-10-02|广州| 32|  0|2017-10-02 11:20:00|  30|            11|            11|
|  10004|2017-10-01|深圳| 35|  0|2017-10-01 10:00:15| 100|             3|             3|
|  10004|2017-10-03|深圳| 35|  0|2017-10-03 10:20:22|  11|             6|             6|
+-------+----------+----+---+---+-------------------+----+--------------+--------------+


scala>