Pointing HiveServer2 to MiniMRCluster for Hive Testing - jdbc

Question

I've been wanting to do Hive integration testing for some of the code that I've been developing. The two major requirements of the testing framework that I need:
It needs to work with a Cloudera version of Hive and Hadoop
(preferably, 2.0.0-cdh4.7.0)
It needs to be all local. Meaning, the Hadoop cluster and Hive
server should start on the beginning of the test, run a few queries,
and teardown after the test is over.
So I broke this problem down into three parts:
Getting code for the HiveServer2 part (I decided to use a JDBC
connector over a Thrift service client)
Getting code for building an in-memory MapReduce cluster (I decided to use MiniMRCluster for this)
Setting up both (1) and (2) above to work with each other.
I was able to get (1) out of the way by looking at many resources. Some of these that were very useful are:
Cloudera Hadoop Google User Group
Hive JDBC Client Wiki
For (2), I followed this excellent post in StackOverflow:
Integration Testing Hive Jobs
So far, so good. At this point of time, my pom.xml in my Maven project, on including both above functionalities, looks something like this:
<repositories>
<repository>
<id>cloudera</id>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>commons-io</groupId>
<artifactId>commons-io</artifactId>
<version>2.1</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
</dependency>
<!-- START: dependencies for getting MiniMRCluster to work -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-auth</artifactId>
<version>2.0.0-cdh4.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-test</artifactId>
<version>2.0.0-mr1-cdh4.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.0.0-cdh4.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-hdfs</artifactId>
<version>2.0.0-cdh4.7.0</version>
<classifier>tests</classifier>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.0.0-cdh4.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.0.0-cdh4.7.0</version>
<classifier>tests</classifier>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>2.0.0-mr1-cdh4.7.0</version>
</dependency>
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-core</artifactId>
<version>2.0.0-mr1-cdh4.7.0</version>
<classifier>tests</classifier>
</dependency>
<!-- END: dependencies for getting MiniMRCluster to work -->
<!-- START: dependencies for getting Hive JDBC to work -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-builtins</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-cli</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-metastore</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-serde</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-common</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>${hive.version}</version>
</dependency>
<dependency>
<groupId>org.apache.thrift</groupId>
<artifactId>libfb303</artifactId>
<version>0.9.1</version>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.15</version>
</dependency>
<dependency>
<groupId>org.antlr</groupId>
<artifactId>antlr-runtime</artifactId>
<version>3.5.1</version>
</dependency>
<dependency>
<groupId>org.apache.derby</groupId>
<artifactId>derby</artifactId>
<version>10.10.1.1</version>
</dependency>
<dependency>
<groupId>javax.jdo</groupId>
<artifactId>jdo2-api</artifactId>
<version>2.3-ec</version>
</dependency>
<dependency>
<groupId>jpox</groupId>
<artifactId>jpox</artifactId>
<version>1.1.9-1</version>
</dependency>
<dependency>
<groupId>jpox</groupId>
<artifactId>jpox-rdbms</artifactId>
<version>1.2.0-beta-5</version>
</dependency>
<!-- END: dependencies for getting Hive JDBC to work -->
</dependencies>
Now I'm on step (3). I tried running the following code:
#Test
public void testHiveMiniDFSClusterIntegration() throws IOException, SQLException {
Configuration conf = new Configuration();
/* Build MiniDFSCluster */
MiniDFSCluster miniDFS = new MiniDFSCluster.Builder(conf).build();
/* Build MiniMR Cluster */
System.setProperty("hadoop.log.dir", "/Users/nishantkelkar/IdeaProjects/" +
"nkelkar-incubator/hive-test/target/hive/logs");
int numTaskTrackers = 1;
int numTaskTrackerDirectories = 1;
String[] racks = null;
String[] hosts = null;
MiniMRCluster miniMR = new MiniMRCluster(numTaskTrackers, miniDFS.getFileSystem().getUri().toString(),
numTaskTrackerDirectories, racks, hosts, new JobConf(conf));
System.setProperty("mapred.job.tracker", miniMR.createJobConf(
new JobConf(conf)).get("mapred.job.tracker"));
try {
String driverName = "org.apache.hive.jdbc.HiveDriver";
Class.forName(driverName);
} catch (ClassNotFoundException e) {
e.printStackTrace();
System.exit(1);
}
Connection hiveConnection = DriverManager.getConnection(
"jdbc:hive2:///", "", "");
Statement stm = hiveConnection.createStatement();
// now create test tables and query them
stm.execute("set hive.support.concurrency = false");
stm.execute("drop table if exists test");
stm.execute("create table if not exists test(a int, b int) row format delimited fields terminated by ' '");
stm.execute("create table dual as select 1 as one from test");
stm.execute("insert into table test select stack(1,4,5) AS (a,b) from dual");
stm.execute("select * from test");
}
My hope was that (3) would be solved by the following line of code from the above method:
Connection hiveConnection = DriverManager.getConnection(
"jdbc:hive2:///", "", "");
However, I'm getting the following error:
java.sql.SQLException: Error while processing statement: FAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask
at org.apache.hive.jdbc.Utils.verifySuccess(Utils.java:161)
at org.apache.hive.jdbc.Utils.verifySuccessWithInfo(Utils.java:150)
at org.apache.hive.jdbc.HiveStatement.execute(HiveStatement.java:207)
at com.ask.nkelkar.hive.HiveUnitTest.testHiveMiniDFSClusterIntegration(HiveUnitTest.java:54)
Can anyone please let me know what I need to do in addition/what I'm doing wrong to get this to work?
P.S. I looked at HiveRunner and hive_test projects as options, but I wasn't able to get these to work with Cloudera versions of Hadoop.

Answer 1

Your test is failing at the first create table statement. Hive is unhelpfully suppressing the following error message:
file:/user/hive/warehouse/test is not a directory or unable to create one
Hive is attempting to use the default warehouse directory /user/hive/warehouse which doesn't exist on your filesystem. You could create the directory, but for testing you'll likely want to override the default value. For example:
import static org.apache.hadoop.hive.conf.HiveConf.ConfVars;
...
System.setProperty(ConfVars.METASTOREWAREHOUSE.toString(), "/Users/nishantkelkar/IdeaProjects/" +
"nkelkar-incubator/hive-test/target/hive/warehouse");