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Spark on Hive & Hive on Spark，傻傻分不清楚
Spark on hive
Hive on Spark
Configuration of Hive is done by placing your hive-site.xml, core-site.xml (for security configuration), and hdfs-site.xml (for HDFS configuration) file in conf/.发车
一、Hive开启MetaStore服务
<1>修改 hive/conf/hive-site.xml 新增如下配置
<?xml version="1.0"?><?xml-stylesheet type="text/xsl" href="configuration.xsl"?><configuration> <property> <name>hive.metastore.warehouse.dir</name> <value>/user/hive/warehouse</value> </property> <property> <name>hive.metastore.local</name> <value>false</value> </property> <property> <name>hive.metastore.uris</name> <value>thrift://node01:9083</value> </property> </configuration><2>后台启动 Hive MetaStore服务
nohup /export/servers/hive/bin/hive --service metastore 2>&1 >> /var/log.log &hive-site.xml 元数据仓库的位置等信息core-site.xml 安全相关的配置hdfs-site.xml HDFS 相关的配置cp /export/servers/hive-1.1.0-cdh5.14.0/conf/hive-site.xml /export/servers/spark/confcp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/core-site.xml /export/servers/spark/confcp /export/servers/hadoop-2.6.0-cdh5.14.0/etc/hadoop/hdfs-site.xml /export/servers/spark/conf飙车
使用SparkSQL操作Hive表
import org.apache.spark.sql.SparkSession
object HiveSupport { def main(args: Array[String]): Unit = { //创建sparkSession val spark = SparkSession .builder() .appName("HiveSupport") .master("local[*]") .config("spark.sql.warehouse.dir", "hdfs://node01:8020/user/hive/warehouse") .config("hive.metastore.uris", "thrift://node01:9083") .enableHiveSupport()//开启hive语法的支持 .getOrCreate()
// 设置日志级别 spark.sparkContext.setLogLevel("WARN")
//查看有哪些表 spark.sql("show tables").show()
//创建表 spark.sql("CREATE TABLE person (id int, name string, age int) row format delimited fields terminated by ' '")
//加载数据,数据为当前SparkDemo项目目录下的person.txt(和src平级) spark.sql("LOAD DATA LOCAL INPATH 'in/person.txt' INTO TABLE person")
//查询数据 spark.sql("select * from person ").show()
spark.stop() }}hive (default)> show tables;OKtab_namestudenttechertecher2Time taken: 0.738 seconds, Fetched: 3 row(s)hive (default)>文章不错？点个【在看】吧！ 👇