根据官方文档的说法,要把hive-site.xml,core-site.xml,hdfs-site.xml拷贝到spark的conf目录下,保证mysql已经启动

java

 public class Demo {
private static SparkSession session = SparkSession.builder().appName("demo").enableHiveSupport()
.config("spark.sql.warehouse.dir", "/user/hive/warehouse").getOrCreate(); public static void main(String[] args) {
session.sql("drop table if exists students_info");
session.sql("create table if not exists students_info(name string,age int) "
+ "row format delimited fields terminated by '\t' \r\n"); // 将数据导入学生信息表
session.sql(
"load data local inpath '/opt/module/spark-test/data/student_infos.txt' into table default.students_info"); session.sql("drop table if exists students_score");
session.sql("create table if not exists students_score(name string,score int) \r\n"
+ "row format delimited fields terminated by '\t' \r\n"); // 将数据导入学生成绩表
session.sql(
"load data local inpath '/opt/module/spark-test/data/student_scores.txt' into table default.students_score"); // 查询
Dataset<Row> dataset = session.sql(
"select s1.name,s1.age,s2.score from students_info s1 join students_score s2 on s1.name=s2.name where s2.score>80"); // 将dataset中的数据保存到hive中
session.sql("drop table if exists students_result");
dataset.write().saveAsTable("students_result"); // 将hive中的表转成dataset,查看数据是否成功保存
Dataset<Row> table = session.table("students_result");
table.show(); session.stop(); }
}

scala

 object Demo {
def main(args: Array[String]): Unit = {
val session = SparkSession.builder().appName("demo").enableHiveSupport().config("spark.sql.warehouse.dir", "/user/hive/warehouse").getOrCreate() session.sql("drop table if exists students_info")
session.sql("create table if not exists students_info(name string,age int) \r\n row format delimited fields terminated by '\t'") session.sql("load data local inpath '/opt/module/spark-test/data/student_infos.txt' into table default.students_info") session.sql("drop table if exists students_score")
session.sql("create table if not exists students_score(name string,score int) \r\n row format delimited fields terminated by '\t'") session.sql("load data local inpath '/opt/module/spark-test/data/student_scores.txt' into table default.students_score") //保存到hive中
session.sql("drop table if exists students_result")
session.sql("select s1.name,s1.age,s2.score from students_info s1 join students_score s2 on s1.name=s2.name where s2.score >90").write.saveAsTable("students_result") //检查数据是否保存
val df = session.table("students_result")
df.show() session.stop()
}
}

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