jdbc:derby:;databaseName=metastore_db;create=true
jdbc:derby:memory:;databaseName=${metastoreLocation.getAbsolutePath};create=true
jdbc:mysql://192.168.175.160:3306/metastore?useSSL=false
Hive Metastore
Spark SQL uses a Hive metastore to manage the metadata of persistent relational entities (e.g. databases, tables, columns, partitions) in a relational database (for fast access).
A Hive metastore warehouse (aka spark-warehouse) is the directory where Spark SQL persists tables whereas a Hive metastore (aka metastore_db) is a relational database to manage the metadata of the persistent relational entities, e.g. databases, tables, columns, partitions.
By default, Spark SQL uses the embedded deployment mode of a Hive metastore with a Apache Derby database.
Important
|
The default embedded deployment mode is not recommended for production use due to limitation of only one active SparkSession at a time. Read Cloudera’s Configuring the Hive Metastore for CDH document that explains the available deployment modes of a Hive metastore. |
When SparkSession
is created with Hive support the external catalog (aka metastore) is HiveExternalCatalog. HiveExternalCatalog
uses spark.sql.warehouse.dir directory for the location of the databases and javax.jdo.option properties for the connection to the Hive metastore database.
Note
|
The metadata of relational entities is persisted in a metastore database over JDBC and DataNucleus AccessPlatform that uses javax.jdo.option properties. Read Hive Metastore Administration to learn how to manage a Hive Metastore. |
Name | Description |
---|---|
The JDBC connection URL of a Hive metastore database to use |
|
The JDBC driver of a Hive metastore database to use
|
|
The user name to use to connect to a Hive metastore database |
|
The password to use to connect to a Hive metastore database |
You can configure javax.jdo.option properties in hive-site.xml or using options with spark.hadoop prefix.
You can access the current connection properties for a Hive metastore in a Spark SQL application using the Spark internal classes.
scala> :type spark
org.apache.spark.sql.SparkSession
scala> spark.sharedState.externalCatalog
res1: org.apache.spark.sql.catalyst.catalog.ExternalCatalog = org.apache.spark.sql.hive.HiveExternalCatalog@79dd79eb
// Use `:paste -raw` to paste the following code
// This is to pass the private[spark] "gate"
// BEGIN
package org.apache.spark
import org.apache.spark.sql.SparkSession
object jacek {
def open(spark: SparkSession) = {
import org.apache.spark.sql.hive.HiveExternalCatalog
spark.sharedState.externalCatalog.asInstanceOf[HiveExternalCatalog].client
}
}
// END
import org.apache.spark.jacek
val hiveClient = jacek.open(spark)
scala> hiveClient.getConf("javax.jdo.option.ConnectionURL", "")
res2: String = jdbc:derby:;databaseName=metastore_db;create=true
The benefits of using an external Hive metastore:
-
Allow multiple Spark applications (sessions) to access it concurrently
-
Allow a single Spark application to use table statistics without running "ANALYZE TABLE" every execution
Note
|
As of Spark 2.2 (see SPARK-18112 Spark2.x does not support read data from Hive 2.x metastore) Spark SQL supports reading data from Hive 2.1.1 metastore. |
Caution
|
FIXME Describe hive-site.xml vs config method vs --conf with spark.hadoop prefix.
|
Spark SQL uses the Hive-specific configuration properties that further fine-tune the Hive integration, e.g. spark.sql.hive.metastore.version or spark.sql.hive.metastore.jars.
spark.sql.warehouse.dir
Configuration Property
spark.sql.warehouse.dir is a static configuration property that sets Hive’s hive.metastore.warehouse.dir
property, i.e. the location of default database for the Hive warehouse.
Tip
|
Refer to SharedState to learn about (the low-level details of) Spark SQL support for Apache Hive. See also the official Hive Metastore Administration document. |
Hive Metastore Deployment Modes
Configuring External Hive Metastore in Spark SQL
In order to use an external Hive metastore you should do the following:
-
Enable Hive support in SparkSession (that makes sure that the Hive classes are on CLASSPATH and sets spark.sql.catalogImplementation internal configuration property to
hive
) -
spark.sql.warehouse.dir required?
-
Define hive.metastore.warehouse.dir in hive-site.xml configuration resource
-
Check out warehousePath
-
Execute
./bin/run-example sql.hive.SparkHiveExample
to verify Hive configuration
When not configured by the hive-site.xml, SparkSession
automatically creates metastore_db
in the current directory and creates a directory configured by spark.sql.warehouse.dir, which defaults to the directory spark-warehouse
in the current directory that the Spark application is started.
Note
|
You may need to grant write privilege to the user who starts the Spark application. |
Hadoop Configuration Properties for Hive
Name | Description | ||
---|---|---|---|
The Thrift URI of a remote Hive metastore, i.e. one that is in a separate JVM process or on a remote node
|
|||
|
|||
Set to |
You may also want to use the following Hive configuration properties that (seem to) cause exceptions with an empty metastore database as of Hive 2.1.
-
datanucleus.schema.autoCreateAll
set totrue
spark.hadoop Configuration Properties
Caution
|
FIXME Describe the purpose of spark.hadoop.* properties
|
You can specify any of the Hadoop configuration properties, e.g. hive.metastore.warehouse.dir with spark.hadoop prefix.
$ spark-shell --conf spark.hadoop.hive.metastore.warehouse.dir=/tmp/hive-warehouse
...
scala> spark.sharedState
18/01/08 10:46:19 INFO SharedState: spark.sql.warehouse.dir is not set, but hive.metastore.warehouse.dir is set. Setting spark.sql.warehouse.dir to the value of hive.metastore.warehouse.dir ('/tmp/hive-warehouse').
18/01/08 10:46:19 INFO SharedState: Warehouse path is '/tmp/hive-warehouse'.
res1: org.apache.spark.sql.internal.SharedState = org.apache.spark.sql.internal.SharedState@5a69b3cf
hive-site.xml Configuration Resource
hive-site.xml
configures Hive clients (e.g. Spark SQL) with the Hive Metastore configuration.
hive-site.xml
is loaded when SharedState is created (which is…FIXME).
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/
(that is automatically added to the CLASSPATH of a Spark application).
Tip
|
You can use --driver-class-path or spark.driver.extraClassPath to point to the directory with configuration resources, e.g. hive-site.xml .
|
<configuration>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/tmp/hive-warehouse</value>
<description>Hive Metastore location</description>
</property>
</configuration>
Tip
|
Read Resources section in Hadoop’s Configuration javadoc to learn more about configuration resources. |
Tip
|
Use
Enable
|