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  • Data Engineering Integration 10.5.2
  • All Products

Table of Contents

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  1. Preface
  2. Part 1: Hadoop Integration
  3. Part 2: Databricks Integration
  4. Appendix A: Connections Reference

Integration Guide

Integration Guide

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Configure *-site.xml Files for MapR

Configure *-site.xml Files for MapR

The Hadoop administrator needs to configure *-site.xml file properties and restart impacted services before the Informatica administrator imports cluster information into the domain.

capacity-scheduler.xml

Configure the following properties in the capacity-scheduler.xml file:
yarn.scheduler.capacity.<queue path>.disable_preemption
Disables preemption for the Capacity Scheduler. The Blaze engine does not support preemption. If YARN preemption is enabled for the cluster, you need to disable it for the queue allocated to the Blaze engine.
Set to TRUE for queue allocated to the Blaze engine.

core.site.xml

Configure the following properties in the core-site.xml file:
fs.s3.enableServerSideEncryption
Enables server side encryption for S3 buckets. Required for SSE and SSE-KMS encryption.
Set to: TRUE
fs.s3a.access.key
The ID for the Blaze and Spark engines to connect to the Amazon S3 file system.
Set to your access key.
fs.s3a.secret.key
The password for the Blaze and Spark engines to connect to the Amazon S3 file system
Set to your access ID.
fs.s3a.server-side-encryption-algorithm
The server-side encryption algorithm for S3. Required for SSE and SSE-KMS encryption. Set to the encryption algorithm used.
hadoop.proxyuser.<proxy user>.groups
Defines the groups that the proxy user account can impersonate. On a secure cluster the <proxy user> is the Service Principal Name that corresponds to the cluster keytab file. On a non-secure cluster, the <proxy user> is the system user that runs the Informatica daemon.
Set to group names of impersonation users separated by commas. If less security is preferred, use the wildcard " * " to allow impersonation from any group.
After you make changes to proxyuser properties, restart the credential service and other cluster services that use core-site configuration values.
hadoop.proxyuser.<proxy user>.hosts
Defines the host machines that a user account can impersonate. On a secure cluster the <proxy user> is the Service Principal Name that corresponds to the cluster keytab file. On a non-secure cluster, the <proxy user> is the system user that runs the Informatica daemon.
Set to a single host name or IP address, or set to a comma-separated list. If less security is preferred, use the wildcard " * " to allow impersonation from any host.
After you make changes to proxyuser properties, restart the credential service and other cluster services that use core-site configuration values.
hadoop.proxyuser.hive.hosts
Comma-separated list of hosts that you want to allow the Hive user to impersonate on a non-secure cluster.
When
hive.server2.enable.doAs
 is false, append a comma-separated list of Informatica server host names or IP address where the Data Integration Service is running. If less security is preferred, use the wildcard " * " to allow impersonation from any host.
After you make changes to this property, restart the cluster services that use core-site configuration values.
hadoop.proxyuser.yarn.groups
Comma-separated list of groups that you want to allow the YARN user to impersonate on a non-secure cluster.
Set to group names of impersonation users separated by commas. If less security is preferred, use the wildcard " * " to allow impersonation from any group.
After you make changes to proxyuser properties, restart the credential service and other cluster services that use core-site configuration values.
hadoop.proxyuser.yarn.hosts
Comma-separated list of hosts that you want to allow the YARN user to impersonate on a non-secure cluster.
Set to a single host name or IP address, or set to a comma-separated list. If less security is preferred, use the wildcard " * " to allow impersonation from any host.
After you make changes to proxyuser properties, restart the credential service and other cluster services that use core-site configuration values.
io.compression.codecs
Enables compression on temporary staging tables.
Set to a comma-separated list of compression codec classes on the cluster.
hadoop.security.auth_to_local
Translates the principal names from the Active Directory and MIT realm into local names within the Hadoop cluster. Based on the Hadoop cluster used, you can set multiple rules.
Set to: RULE:[1:$1@$0](^.*@YOUR.REALM)s/^(.*)@YOUR.REALM\.COM$/$1/g
Set to: RULE:[2:$1@$0](^.*@YOUR.REALM\.$)s/^(.*)@YOUR.REALM\.COM$/$1/g

fair-scheduler.xml

Configure the following properties in the fair-scheduler.xml file:
allowPreemptionFrom
Enables preemption for the Fair Scheduler. The Blaze engine does not support preemption. If YARN preemption is enabled for the cluster, you need to disable it for the queue allocated to the Blaze engine.
Set to FALSE for the queue allocated to the Blaze engine.
For example: 
<queue name="Blaze">
    <weight>1.0</weight>
    <allowPreemptionFrom>false</allowPreemptionFrom>
    <schedulingPolicy>fsp</schedulingPolicy>
    <aclSubmitApps>*</aclSubmitApps>
    <aclAdministerApps>*</aclAdministerApps>
</queue>

hbase-site.xml

Configure the following properties in the hbase-site.xml file:
zookeeper.znode.parent
Identifies HBase master and region servers.
Set to the relative path to the znode directory of HBase.

hive-site.xml

Configure the following properties in the hive-site.xml file:
hive.cluster.delegation.token.store.class
The token store implementation. Required for HiveServer2 high availability and load balancing.
Set to: org.apache.hadoop.hive.thrift.DBTokenStore
hive.compactor.initiator.on
Runs the initiator and cleaner threads on metastore instance. Required for an Update Strategy transformation in a mapping that writes to a Hive target.
Set to: TRUE
hive.compactor.worker.threads
The number of worker threads to run in a metastore instance. Required for an Update Strategy transformation in a mapping that writes to a Hive target.
Set to: 1
hive.enforce.bucketing
Enables dynamic bucketing while loading to Hive. Required for an Update Strategy transformation in a mapping that writes to a Hive target.
Set to: TRUE
hive.exec.dynamic.partition
Enables dynamic partitioned tables for Hive tables. Applicable for Hive versions 0.9 and earlier.
Set to: TRUE
hive.exec.dynamic.partition.mode
Allows all partitions to be dynamic. Required for the Update Strategy transformation in a mapping that writes to a Hive target. Also required if you use Sqoop and define a DDL query to create or replace a partitioned Hive target at run time.
Set to: nonstrict
hive.support.concurrency
Enables table locking in Hive. Required for an Update Strategy transformation in a mapping that writes to a Hive target.
Set to: TRUE
hive.server2.support.dynamic.service.discovery
Enables HiveServer2 dynamic service discovery. Required for HiveServer2 high availability.
Set to: TRUE
hive.server2.zookeeper.namespace
The value of the ZooKeeper namespace in the JDBC connection string. Required for HiveServer2 high availability.
Set to:
jdbc:hive2://<zookeeper_ensemble>/default;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2
hive.txn.manager
Turns on transaction support. Required for an Update Strategy transformation in a mapping that writes to a Hive target.
Set to: org.apache.hadoop.hive.ql.lockmgr.DbTxnManager
hive.zookeeper.quorum
Comma-separated list of ZooKeeper server host:ports in a cluster. The value of the ZooKeeper ensemble in the JDBC connection string. Required for HiveServer2 high availability.
Set to:
jdbc:hive2://<zookeeper_ensemble>/default;serviceDiscoveryMode=zooKeeper;

mapred-site.xml

Configure the following properties in the mapred-site.xml file:
mapreduce.framework.name
The run-time framework to run MapReduce jobs. Values can be local, classic, or yarn. Required for Sqoop.
Set to: yarn
mapreduce.jobhistory.address
Location of the MapReduce JobHistory Server. The default port is 10020. Required for Sqoop.
Set to: <MapReduce JobHistory Server>:<port>
yarn.app.mapreduce.am.staging-dir
The HDFS staging directory used while submitting jobs.
Set to the staging directory path.

yarn-site.xml

Configure the following properties in the yarn-site.xml file:
yarn.application.classpath
Required for dynamic resource allocation.
Add spark_shuffle.jar to the class path. The .jar file must contain the class "org.apache.spark.network.yarn.YarnShuffleService."
yarn.nodemanager.resource.memory-mb
The maximum RAM available for each container. Set the maximum memory on the cluster to increase resource memory available to the Blaze engine.
Set to 16 GB if value is less than 16 GB.
yarn.nodemanager.resource.cpu-vcores
The number of virtual cores for each container. Required for Blaze engine resource allocation.
Set to 10 if the value is less than 10.
yarn.scheduler.minimum-allocation-mb
The minimum RAM available for each container. Required for Blaze engine resource allocation.
Set to 6 GB if the value is less than 6 GB.
yarn.nodemanager.vmem-check-enabled
Disables virtual memory limits for containers. Required for the Blaze and Spark engines.
Set to: false
yarn.nodemanager.aux-services
Required for dynamic resource allocation for the Spark engine.
Add an entry for "spark_shuffle."
yarn.nodemanager.aux-services.spark_shuffle.class
Required for dynamic resource allocation for the Spark engine.
Set to: org.apache.spark.network.yarn.YarnShuffleService
yarn.resourcemanager.scheduler.class
Defines the YARN scheduler that the Data Integration Service uses to assign resources.
Set to: org.apache.hadoop.yarn.server.resourcemanager.scheduler
yarn.node-labels.enabled
Enables node labeling.
Set to: TRUE
yarn.node-labels.fs-store.root-dir
The HDFS location to update node label dynamically.
Set to: <hdfs://[Node name]:[Port]/[Path to store]/[Node labels]/>
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