I am trying to write a Spark dataframe to Kudu DB, but I do not know the Kudu master. The cluster I am using is a Cloudera cluster.
How do I find Kudu master in the cluster?
I am trying to write a Spark dataframe to Kudu DB, but I do not know the Kudu master. The cluster I am using is a Cloudera cluster.
How do I find Kudu master in the cluster?
Here is a very basic example using Cloudera Manager Java client (https://cloudera.github.io/cm_api/docs/java-client-swagger/)
package cloudera.kudu_example;
import java.io.IOException;
import com.cloudera.api.swagger.HostsResourceApi;
import com.cloudera.api.swagger.ServicesResourceApi;
import com.cloudera.api.swagger.client.ApiClient;
import com.cloudera.api.swagger.client.ApiException;
import com.cloudera.api.swagger.client.Configuration;
import com.cloudera.api.swagger.model.ApiHost;
import com.cloudera.api.swagger.model.ApiRole;
import com.cloudera.api.swagger.model.ApiRoleList;
public class App {
public static void main( String[] args ) throws IOException {
ApiClient cmClient = Configuration.getDefaultApiClient();
cmClient.setBasePath(args[0]);
cmClient.setUsername(args[1]);
cmClient.setPassword(args[2]);
cmClient.setVerifyingSsl(false);
HostsResourceApi hostsApiInstance = new HostsResourceApi();
ServicesResourceApi servicesApiInstance = new ServicesResourceApi();
try {
ApiRoleList apiRoles = servicesApiInstance.readRoles("Cluster 1", "KUDU-1");
for(ApiRole role : apiRoles.getItems()) {
if(role.getType().equalsIgnoreCase("KUDU_MASTER")) {
ApiHost host = hostsApiInstance.readHost(role.getHostRef().getHostId(), "full");
System.out.printf("Kudu master runs at %s. IP: %s, status %s", host.getHostname(), host.getIpAddress(), host.getEntityStatus());
}
}
} catch (ApiException e) {
System.err.println("Exception when calling ClustersResourceApi#readClusters");
e.printStackTrace();
}
}
}
Here is python example using Python client v3 (https://cloudera.github.io/cm_api/docs/python-client-swagger/):
#!/usr/local/bin/python
import cm_client
# Configure HTTP basic authorization: basic
#configuration = cm_client.Configuration()
cm_client.configuration.username = 'admin'
cm_client.configuration.password = 'admin'
# Create an instance of the API class
api_client = cm_client.ApiClient("http://your-cdh-cluster-cm-host:7180/api/v30")
# create an instance of the ServicesResourceApi class
service_api_instance = cm_client.ServicesResourceApi(api_client)
# create an instance of the HostsResourceApi class
host_api_instance = cm_client.HostsResourceApi(api_client)
# find KUDU_MASTER roles in the CDH cluster
cluster_roles = service_api_instance.read_roles("Cluster 1", "KUDU-1")
for role in cluster_roles.items:
if role.type == "KUDU_MASTER":
role_host = host_api_instance.read_host(role.host_ref.host_id, view="full")
print("Kudu master is located on %s\n" % role_host.hostname)
I know this is not a best way but it is one quick way to do. Let us assume we already have a kudu table with you(In case even if you don't create a test/temporary table through impala ), just do a describe formatted to that table. You will be getting bunch of details including kudu master details(host name), where port will be 8051. I believe once you know the host and port details you can explore many for your spark dataframe.
Temp table syntax:
CREATE TABLE kudu_no_partition_by_clause ( id bigint PRIMARY KEY, s STRING, b BOOLEAN ) STORED AS KUDU;
Syntax for describe: Describe formatted table_name;
FYR:
Kudu web administration details: https://kudu.apache.org/releases/0.6.0/docs/administration.html
Kudu with spark examples: https://kudu.apache.org/docs/developing.html
Cheers!!