我正在尝试使用HiveContext从Spark获取Hive的数据库或表详细信息。但我无法指向现有的Hive数据库，如下所示：火花版本：2.2.0蜂巢版本 ： 2.3.0
在Spark Shell中使用以下脚本连接到现有的Hive服务器(下面使用的127.0.0.1是我的机器IP地址(：
scala> val hc = new org.apache.spark.sql.hive.HiveContext(sc)
warning: there was one deprecation warning; re-run with -deprecation for details
hc: org.apache.spark.sql.hive.HiveContext = org.apache.spark.sql.hive.HiveContext@6dde913e
scala> hc.setConf("hive.metastore.uris","thrift://127.0.0.1:9083")
scala> val df = hc.sql("show databases")
df: org.apache.spark.sql.DataFrame = [databaseName: string]
scala> df.show
+------------+
|databaseName|
+------------+
| default|
+------------+
scala> val dfTables = hc.sql("show tables");
dfTables: org.apache.spark.sql.DataFrame = [database: string, tableName: string ... 1 more field]
scala> dfTables.show
+--------+---------+-----------+
|database|tableName|isTemporary|
+--------+---------+-----------+
+--------+---------+-----------+
如上所示，我无法获得现有的 Hive 数据库和表可用。HiveContext 指向新数据库(默认(，并且没有可用的表。下面列出了我的蜂巢数据库：
hive> show databases;
OK
default
mydbbackup
Time taken: 7.593 seconds, Fetched: 2 row(s)
hive> use mydbbackup;
OK
Time taken: 0.021 seconds
hive> show tables;
OK
customers
customerspart
customerspart1
Time taken: 0.194 seconds, Fetched: 3 row(s)
hive>
以下是我的蜂巢网站.xml：
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:derby:;databaseName=/home/hduser/apache-hive-2.3.0-bin/metastore_db;create=true</value>
<description>
JDBC connect string for a JDBC metastore.
To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.
For example, jdbc:postgresql://myhost/db?ssl=true for postgres database.
</description>
</property>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
<description>location of default database for the warehouse</description>
</property>
<property>
<name>hive.metastore.uris</name>
<value/>
<description>Thrift URI for the remote metastore. Used by metastore client to connect to remote metastore.</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>org.apache.derby.jdbc.EmbeddedDriver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.PersistenceManagerFactoryClass</name>
<value>org.datanucleus.api.jdo.JDOPersistenceManagerFactory</value>
<description>class implementing the jdo persistence</description>
</property>
</configuration>
以下是我的火花会议目录：
total 40
drwxr-xr-x 2 root root 4096 Nov 12 20:22 ./
drwxr-xr-x 12 root root 4096 Nov 9 22:57 ../
-rw-r--r-- 1 root root 996 Nov 9 22:57 docker.properties.template
-rw-r--r-- 1 root root 1105 Nov 9 22:57 fairscheduler.xml.template
-rw-r--r-- 1 root root 2025 Nov 9 22:57 log4j.properties.template
-rw-r--r-- 1 root root 7313 Nov 9 22:57 metrics.properties.template
-rw-r--r-- 1 root root 865 Nov 9 22:57 slaves.template
-rw-r--r-- 1 root root 1292 Nov 9 22:57 spark-defaults.conf.template
-rwxr-xr-x 1 root root 3699 Nov 9 22:57 spark-env.sh.template*
我是否需要修改任何内容以指向现有 Hive 服务器而不是创建新的。请帮助我。
启动火花壳，如下所示：
./spark-shell --driver-java-options
"-Dhive.metastore.uris=thrift://localhost:9083"
这将为您提供所需的结果：
import org.apache.spark.sql.hive.HiveContext
val hc = new HiveContext(sc(
导入hc.implicits._
val df = hc.sql("show databases"(
东风秀
在 hive-site 中.xml使用属性：
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://<<hostname>>:<<port>>/hive?createDatabaseIfNotExist=true</value>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>username</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>password</value>
</property>
然后，在重试后将 hive-site.xml 放入 spark 安装的 conf 文件夹中