Informatica PowerExchange for Hive (Version HotFix 1) User Guide

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1 Informatica PowerExchange for Hive (Version HotFix 1) User Guide

2 Informatica PowerExchange for Hive User Guide Version HotFix 1 June 2017 Copyright Informatica LLC 2012, 2017 This software and documentation are provided only under a separate license agreement containing restrictions on use and disclosure. No part of this document may be reproduced or transmitted in any form, by any means (electronic, photocopying, recording or otherwise) without prior consent of Informatica LLC. Informatica, the Informatica logo, PowerExchange, and Big Data Management are trademarks or registered trademarks of Informatica LLC in the United States and many jurisdictions throughout the world. A current list of Informatica trademarks is available on the web at Other company and product names may be trade names or trademarks of their respective owners. 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4 Table of Contents Preface Informatica Resources Informatica Network Informatica Knowledge Base Informatica Documentation Informatica Product Availability Matrixes Informatica Velocity Informatica Marketplace Informatica Global Customer Support Chapter 1: Introduction to PowerExchange for Hive PowerExchange for Hive Overview Hive Data Extraction Hive Data Load Chapter 2: PowerExchange for Hive Installation and Configuration Prerequisites Chapter 3: Hive Connections Hive Connections Overview Hive Connection Properties Creating a Hive Connection Chapter 4: Data Objects for Hive Data Objects for Hive Overview Relational Data Object Relational Data Object Properties Overview Properties Advanced Properties Relational Data Object Read Properties General Properties Ports Properties Query Properties Run-time Properties Sources Properties Advanced Properties Relational Data Object Write Properties General Properties Ports Properties Run-time Properties Table of Contents

5 Target Properties Advanced Properties Importing a Relational Data Object with a Hive Connection Troubleshooting the Relational Data Object Import Creating a Read or Write Transformation Chapter 5: Hive Mappings Hive Mappings Overview Hive Validation and Run-time Environments Hive Mapping Example Appendix A: Data Type Reference Data Type Reference Overview Hive Complex Data Types Hive Data Types and Transformation Data Types Index Table of Contents 5

6 Preface The Informatica PowerExchange for Hive User Guide provides information about how to use PowerExchange for Hive with Informatica Data Services and Informatica Data Explorer to access data in Hive and move that information to targets for analysis. The guide is written for database administrators and developers who are responsible for developing mappings that access data in Hive sources. This guide assumes that you have knowledge of Hive and Informatica. Informatica Resources Informatica Network Informatica Network hosts Informatica Global Customer Support, the Informatica Knowledge Base, and other product resources. To access Informatica Network, visit As a member, you can: Access all of your Informatica resources in one place. Search the Knowledge Base for product resources, including documentation, FAQs, and best practices. View product availability information. Review your support cases. Find your local Informatica User Group Network and collaborate with your peers. Informatica Knowledge Base Use the Informatica Knowledge Base to search Informatica Network for product resources such as documentation, how-to articles, best practices, and PAMs. To access the Knowledge Base, visit If you have questions, comments, or ideas about the Knowledge Base, contact the Informatica Knowledge Base team at KB_Feedback@informatica.com. Informatica Documentation To get the latest documentation for your product, browse the Informatica Knowledge Base at If you have questions, comments, or ideas about this documentation, contact the Informatica Documentation team through at infa_documentation@informatica.com. 6

7 Informatica Product Availability Matrixes Product Availability Matrixes (PAMs) indicate the versions of operating systems, databases, and other types of data sources and targets that a product release supports. If you are an Informatica Network member, you can access PAMs at Informatica Velocity Informatica Velocity is a collection of tips and best practices developed by Informatica Professional Services. Developed from the real-world experience of hundreds of data management projects, Informatica Velocity represents the collective knowledge of our consultants who have worked with organizations from around the world to plan, develop, deploy, and maintain successful data management solutions. If you are an Informatica Network member, you can access Informatica Velocity resources at If you have questions, comments, or ideas about Informatica Velocity, contact Informatica Professional Services at ips@informatica.com. Informatica Marketplace The Informatica Marketplace is a forum where you can find solutions that augment, extend, or enhance your Informatica implementations. By leveraging any of the hundreds of solutions from Informatica developers and partners, you can improve your productivity and speed up time to implementation on your projects. You can access Informatica Marketplace at Informatica Global Customer Support You can contact a Global Support Center by telephone or through Online Support on Informatica Network. To find your local Informatica Global Customer Support telephone number, visit the Informatica website at the following link: If you are an Informatica Network member, you can use Online Support at Preface 7

8 C H A P T E R 1 Introduction to PowerExchange for Hive This chapter includes the following topics: PowerExchange for Hive Overview, 8 Hive Data Extraction, 9 Hive Data Load, 9 PowerExchange for Hive Overview Use PowerExchange for Hive to read data from a Hive source. Use PowerExchange for Hive with Big Data Management to write data to a Hive target. When you read data from Hive, you can run the mapping in the native environment. In the native environment, the DIS runs the mapping from the Developer tool. You can optionally run a mapping with a Hive source in the Hadoop environment when you have Big Data Management. You might run a mapping in the Hadoop environment to optimize performance when you need to process large amounts of data. When you write data to a Hive target, you run the mapping in the Hadoop environment. You can select the following engines in the Hadoop environment: Blaze engine Spark engine Hive engine When you run a mapping in the Hadoop environment, the Data Integration Service converts the mapping task to an execution plan based on the engine. It could be Hive execution plan, Blaze execution plan, or Spark execution plan. In the Hadoop environment, the Data Integration Service converts the mapping to an execution plan that is run on a Hadoop cluster. During mapping development, you validate a Hive mapping for the native environment or the Hadoop environment. You use a Hive connection to connect to Hive to read and write Hive data. You can also use a Hive connection to specify the Hive validation and run-time environments. For more information about configuring and running a mapping in the Hadoop environment, see the Big Data Management User Guide. 8

9 Hive Data Extraction Complete the following tasks to use PowerExchange for Hive to read data from Hive: 1. Create a Hive connection. 2. Import a relational data object. 3. Create a mapping and use the relational data object as a source to read data from Hive. Hive Data Load You can write to Hive only when you run mappings in the Hadoop environment. Use PowerExchange for Hive with Big Data Management to run mappings in the Hadoop environment. Complete the following tasks to use PowerExchange for Hive to write data to Hive: 1. Create a Hive connection. 2. Import a relational data object. 3. Create a mapping and use the relational data object as a target to write data to Hive. 4. Specify the respective Hadoop run-time environment for the mapping and run the mapping to write data to Hive. Hive Data Extraction 9

10 C H A P T E R 2 PowerExchange for Hive Installation and Configuration This chapter includes the following topic: Prerequisites, 10 Prerequisites PowerExchange for Hive requires services and environment variables to be available. Before you can access Hive, perform the following tasks: 1. Install and configure Informatica Data Services. 2. Install a Thrift server. 3. Start the Hive server as a Thrift service. 4. If you are using a remote metastore for the Hive run-time environment, start the Hive Metastore Service. For information about the Thrift server, see 5. On the Developer tool machine, verify that the Hadoop Distribution directory property is set in the developer.ini file. The default value of the property is -DINFA_HADOOP_DIST_DIR=hadoop\cloudera_cdh3u4 6. To use a Hive connection to run mappings on a Hadoop cluster, verify that the following properties are set on the Processes tab of the Data Integration Service page in the Administrator tool: Data Integration Service Hadoop Distribution directory Hadoop Distribution directory 7. For Blaze mode, when a mapping runs, the metadata is fetched from the Hive table and data is read from and written to the underlying HDFS directory. Therefore, Hadoop Impersonation user must have the SELECT privilege on Hive tables and required privilege for read or write on underlying HDFS directory. Column-level privileges are not considered for read and write operations for Hive tables. 10

11 C H A P T E R 3 Hive Connections This chapter includes the following topics: Hive Connections Overview, 11 Hive Connection Properties, 11 Creating a Hive Connection, 17 Hive Connections Overview After you configure PowerExchange for Hive, create a Hive connection. You can use the Hive connection to access Hive as a source or target or to run mappings on a Hadoop cluster. You can create a Hive connection using the Developer tool, Administrator tool, Analyst tool, or infacmd. Hive Connection Properties Use the Hive connection to access Hive data. A Hive connection is a database type connection. You can create and manage a Hive connection in the Administrator tool, Analyst tool, or the Developer tool. Hive connection properties are case sensitive unless otherwise noted. Note: The order of the connection properties might vary depending on the tool where you view them. 11

12 The following table describes Hive connection properties: Property Name ID Location Type Connection Modes The name of the connection. The name is not case sensitive and must be unique within the domain. You can change this property after you create the connection. The name cannot exceed 128 characters, contain spaces, or contain the following special characters: ~ `! $ % ^ & * ( ) - + = { [ } ] \ : ; " ' <, >.? / String that the Data Integration Service uses to identify the connection. The ID is not case sensitive. It must be 255 characters or less and must be unique in the domain. You cannot change this property after you create the connection. Default value is the connection name. The description of the connection. The description cannot exceed 4000 characters. The domain where you want to create the connection. Not valid for the Analyst tool. The connection type. Select Hive. Hive connection mode. Select at least one of the following options: - Access Hive as a source or target. Select this option if you want to use Hive as a source or a target. - Use Hive to run mappings on a Hadoop cluster. Select this option if you want to use the Hive driver to run mappings in the Hadoop cluster. 12 Chapter 3: Hive Connections

13 Property User Name Common Attributes to Both the Modes: Environment SQL User name of the user that the Data Integration Service impersonates to run mappings on a Hadoop cluster. The user name depends on the JDBC connection string that you specify in the Metadata Connection String or Data Access Connection String for the native environment. If the Hadoop cluster runs Hortonworks HDP, you must provide a user name. If you use Tez to run mappings, you must provide the user account for the Data Integration Service. If you do not use Tez to run mappings, you can use an impersonation user account. If the Hadoop cluster uses Kerberos authentication, the principal name for the JDBC connection string and the user name must be the same. Otherwise, the user name depends on the behavior of the JDBC driver. With Hive JDBC driver, you can specify a user name in many ways and the user name can become a part of the JDBC URL. If the Hadoop cluster does not use Kerberos authentication, the user name depends on the behavior of the JDBC driver. If you do not specify a user name, the Hadoop cluster authenticates jobs based on the following criteria: - The Hadoop cluster does not use Kerberos authentication. It authenticates jobs based on the operating system profile user name of the machine that runs the Data Integration Service. - The Hadoop cluster uses Kerberos authentication. It authenticates jobs based on the SPN of the Data Integration Service. SQL commands to set the Hadoop environment. In native environment type, the Data Integration Service executes the environment SQL each time it creates a connection to a Hive metastore. If you use the Hive connection to run profiles on a Hadoop cluster, the Data Integration Service executes the environment SQL at the beginning of each Hive session. The following rules and guidelines apply to the usage of environment SQL in both connection modes: - Use the environment SQL to specify Hive queries. - Use the environment SQL to set the classpath for Hive user-defined functions and then use environment SQL or PreSQL to specify the Hive user-defined functions. You cannot use PreSQL in the data object properties to specify the classpath. The path must be the fully qualified path to the JAR files used for user-defined functions. Set the parameter hive.aux.jars.path with all the entries in infapdo.aux.jars.path and the path to the JAR files for user-defined functions. - You can use environment SQL to define Hadoop or Hive parameters that you want to use in the PreSQL commands or in custom queries. - If you use multiple values for the Environment SQL property, ensure that there is no space between the values. The following sample text shows two values that can be used for the Environment SQL: set hive.execution.engine='tez';set hive.exec.dynamic.partition.mode='nonstrict'; If you use the Hive connection to run profiles on a Hadoop cluster, the Data Integration service executes only the environment SQL of the Hive connection. If the Hive sources and targets are on different clusters, the Data Integration Service does not execute the different environment SQL commands for the connections of the Hive source or target. Hive Connection Properties 13

14 Properties to Access Hive as Source or Target The following table describes the connection properties that you configure to access Hive as a source or target: Property Metadata Connection String Bypass Hive JDBC Server Observe Fine Grained SQL Authorization Data Access Connection String The JDBC connection URI used to access the metadata from the Hadoop server. You can use PowerExchange for Hive to communicate with a HiveServer service or HiveServer2 service. To connect to HiveServer, specify the connection string in the following format: jdbc:hive2://<hostname>:<port>/<db> Where - <hostname> is name or IP address of the machine on which HiveServer2 runs. - <port> is the port number on which HiveServer2 listens. - <db> is the database name to which you want to connect. If you do not provide the database name, the Data Integration Service uses the default database details. To connect to HiveServer 2, use the connection string format that Apache Hive implements for that specific Hadoop Distribution. For more information about Apache Hive connection string formats, see the Apache Hive documentation. If the Hadoop cluster uses SSL or TLS authentication, you must add ssl=true to the JDBC connection URI. For example: jdbc:hive2://<hostname>:<port>/<db>;ssl=true If you use self-signed certificate for SSL or TLS authentication, ensure that the certificate file is available on the client machine and the Data Integration Service machine. For more information, see the Informatica Big Data Management Installation and Upgrade Guide. JDBC driver mode. Select the check box to use the embedded JDBC driver mode. To use the JDBC embedded mode, perform the following tasks: - Verify that Hive client and Informatica services are installed on the same machine. - Configure the Hive connection properties to run mappings on a Hadoop cluster. If you choose the non-embedded mode, you must configure the Data Access Connection String. Informatica recommends that you use the JDBC embedded mode. When you select the option to observe fine-grained SQL authentication in a Hive source, the mapping observes row and column-level restrictions on data access. If you do not select the option, the Blaze runtime engine ignores the restrictions, and results include restricted data. The connection string to access data from the Hadoop data store. To connect to HiveServer, specify the non-embedded JDBC mode connection string in the following format: jdbc:hive2://<hostname>:<port>/<db> Where - <hostname> is name or IP address of the machine on which HiveServer2 runs. - <port> is the port number on which HiveServer2 listens. - <db> is the database to which you want to connect. If you do not provide the database name, the Data Integration Service uses the default database details. To connect to HiveServer 2, use the connection string format that Apache Hive implements for the specific Hadoop Distribution. For more information about Apache Hive connection string formats, see the Apache Hive documentation. If the Hadoop cluster uses SSL or TLS authentication, you must add ssl=true to the JDBC connection URI. For example: jdbc:hive2://<hostname>:<port>/<db>;ssl=true If you use self-signed certificate for SSL or TLS authentication, ensure that the certificate file is available on the client machine and the Data Integration Service machine. For more information, see the Informatica Big Data Management Installation and Upgrade Guide. 14 Chapter 3: Hive Connections

15 Properties to Run Mappings on a Hadoop Cluster The following table describes the Hive connection properties that you configure when you want to use the Hive connection to run Informatica mappings on a Hadoop cluster: Property Database Name Default FS URI JobTracker/Yarn Resource Manager URI Hive Warehouse Directory on HDFS Namespace for tables. Use the name default for tables that do not have a specified database name. The URI to access the default Hadoop Distributed File System. Use the following connection URI: hdfs://<node name>:<port> Where - <node name> is the host name or IP address of the NameNode. - <port> is the port on which the NameNode listens for remote procedure calls (RPC). If the Hadoop cluster runs MapR, use the following URI to access the MapR File system: maprfs:///. The service within Hadoop that submits the MapReduce tasks to specific nodes in the cluster. Use the following format: <hostname>:<port> Where - <hostname> is the host name or IP address of the JobTracker or Yarn resource manager. - <port> is the port on which the JobTracker or Yarn resource manager listens for remote procedure calls (RPC). If the cluster uses MapR with YARN, use the value specified in the yarn.resourcemanager.address property in yarn-site.xml. You can find yarnsite.xml in the following directory on the NameNode of the cluster: /opt/mapr/ hadoop/hadoop-2.5.1/etc/hadoop. MapR with MapReduce 1 supports a highly available JobTracker. If you are using MapR distribution, define the JobTracker URI in the following format: maprfs:/// The absolute HDFS file path of the default database for the warehouse that is local to the cluster. For example, the following file path specifies a local warehouse: /user/hive/warehouse For Cloudera CDH, if the Metastore Execution Mode is remote, then the file path must match the file path specified by the Hive Metastore Service on the Hadoop cluster. For MapR, use the value specified for the hive.metastore.warehouse.dir property in hive-site.xml. You can find hive-site.xml in the following directory on the node that runs HiveServer2: /opt/mapr/hive/hive-0.13/conf. Hive Connection Properties 15

16 Property Advanced Hive/Hadoop Properties Temporary Table Compression Codec Codec Class Name Metastore Execution Mode Metastore Database URI Configures or overrides Hive or Hadoop cluster properties in hive-site.xml on the machine on which the Data Integration Service runs. You can specify multiple properties. Select Edit to specify the name and value for the property. The property appears in the following format: <property1>=<value> Where - <property1> is a Hive or Hadoop property in hive-site.xml. - <value> is the value of the Hive or Hadoop property. When you specify multiple properties, &: appears as the property separator. The maximum length for the format is 1 MB. If you enter a required property for a Hive connection, it overrides the property that you configure in the Advanced Hive/Hadoop Properties. The Data Integration Service adds or sets these properties for each map-reduce job. You can verify these properties in the JobConf of each mapper and reducer job. Access the JobConf of each job from the Jobtracker URL under each map-reduce job. The Data Integration Service writes messages for these properties to the Data Integration Service logs. The Data Integration Service must have the log tracing level set to log each row or have the log tracing level set to verbose initialization tracing. For example, specify the following properties to control and limit the number of reducers to run a mapping job: mapred.reduce.tasks=2&:hive.exec.reducers.max=10 Hadoop compression library for a compression codec class name. Codec class name that enables data compression and improves performance on temporary staging tables. Controls whether to connect to a remote metastore or a local metastore. By default, local is selected. For a local metastore, you must specify the Metastore Database URI, Driver, Username, and Password. For a remote metastore, you must specify only the Remote Metastore URI. The JDBC connection URI used to access the data store in a local metastore setup. Use the following connection URI: jdbc:<datastore type>://<node name>:<port>/<database name> where - <node name> is the host name or IP address of the data store. - <data store type> is the type of the data store. - <port> is the port on which the data store listens for remote procedure calls (RPC). - <database name> is the name of the database. For example, the following URI specifies a local metastore that uses MySQL as a data store: jdbc:mysql://hostname23:3306/metastore For MapR, use the value specified for the javax.jdo.option.connectionurl property in hive-site.xml. You can find hive-site.xml in the following directory on the node where HiveServer 2 runs: /opt/mapr/hive/hive-0.13/conf. 16 Chapter 3: Hive Connections

17 Property Metastore Database Driver Metastore Database Username Metastore Database Password Remote Metastore URI Driver class name for the JDBC data store. For example, the following class name specifies a MySQL driver: com.mysql.jdbc.driver For MapR, use the value specified for the javax.jdo.option.connectiondrivername property in hive-site.xml. You can find hive-site.xml in the following directory on the node where HiveServer 2 runs: /opt/mapr/hive/hive-0.13/conf. The metastore database user name. For MapR, use the value specified for the javax.jdo.option.connectionusername property in hive-site.xml. You can find hive-site.xml in the following directory on the node where HiveServer 2 runs: /opt/mapr/hive/hive-0.13/conf. The password for the metastore user name. For MapR, use the value specified for the javax.jdo.option.connectionpassword property in hive-site.xml. You can find hive-site.xml in the following directory on the node where HiveServer 2 runs: /opt/mapr/hive/hive-0.13/conf. The metastore URI used to access metadata in a remote metastore setup. For a remote metastore, you must specify the Thrift server details. Use the following connection URI: thrift://<hostname>:<port> Where - <hostname> is name or IP address of the Thrift metastore server. - <port> is the port on which the Thrift server is listening. For MapR, use the value specified for the hive.metastore.uris property in hivesite.xml. You can find hive-site.xml in the following directory on the node where HiveServer 2 runs: /opt/mapr/hive/hive-0.13/conf. Creating a Hive Connection You must create a Hive connection to access Hive as a source or to run mappings on a Hadoop cluster. Use the following procedure to create a Hive connection in the Developer tool: 1. Click Window > Preferences. 2. Select Informatica > Connections. 3. Expand the domain in the Available Connections. 4. Select a connection type in Database > Hive and click Add. 5. Enter a connection name and optional description. 6. Click Next. 7. On the Connection Details page, you must choose the Hive connection mode and specify the commands for environment SQL. The SQL commands are applicable to both the connection modes. Select at least one of the following connection modes: Creating a Hive Connection 17

18 Access Hive as a source or target. Use the connection to access Hive data. If you select this option, the Properties to Access Hive as a source or target page appears. Configure the connection strings. Use Hive to run mappings on a Hadoop cluster. Use the Hive connection to validate and run Informatica mappings on a Hadoop cluster. If you select this option, the Properties used to Run Mappings in the Hadoop Cluster page appears. Configure the properties. 8. Click Test Connection to verify the Hive connection. You can test a Hive connection that is configured to access Hive data. You cannot test a Hive connection that is configured to run Informatica mappings in the Hadoop environment. 9. Click Finish. 18 Chapter 3: Hive Connections

19 C H A P T E R 4 Data Objects for Hive This chapter includes the following topics: Data Objects for Hive Overview, 19 Relational Data Object, 19 Relational Data Object Properties, 20 Relational Data Object Read Properties, 21 Relational Data Object Write Properties, 23 Importing a Relational Data Object with a Hive Connection, 26 Creating a Read or Write Transformation, 26 Data Objects for Hive Overview Import a relational data object with a Hive connection to read data from or write to the Hive data warehouse. After you import a relational data object, create a read or write transformation. Use the read or write transformation as a source or target in mappings and mapplets. Relational Data Object A relational data object is a physical data object that uses a relational table or view as a source. Import a relational data object with a Hive connection to access data in the Hive data warehouse. Create a relational data object to perform the following tasks: Filter rows when the Data Integration Service reads source data. If you include a filter condition, the Data Integration Service adds a where clause to the default query. Specify a join instead of the default join. If you include a user-defined join, the Data Integration Service replaces the join information specified by the metadata in the SQL query. Create a custom query to issue a special SELECT statement for the Data Integration Service to read source data. The custom query replaces the default query that the Data Integration Service uses to read data from sources. 19

20 You can include relational data objects in mappings and mapplets. You can add a relational data object to a mapping or mapplet as the following transformations: Read transformation if the run-time environment is native or Hive. Write transformation if the run-time environment is Hive. Relational Data Object Properties After you create a relational data object, you can modify the data object properties in the following data object views: Overview view. Use the Overview view to modify the relational data object name, description, and resources. Advanced view. Use the Advanced view to modify the run-time properties that the Data Integration Service uses. When you add the relational data object to a mapping, you can edit the read or write properties. Overview Properties The Overview properties include general properties that apply to the relational data object. They also include column properties that apply to the resources in the relational data object. General Properties The following table describes the general properties that you configure for relational data objects: Property Name Connection Name of the relational data object. of the relational data object. Name of the relational connection. Column Properties The following table describes the column properties that you can view for relational data objects: Property Name Native Type Precision Scale Name of the column. Native data type of the column. Maximum number of significant digits for numeric data types, or maximum number of characters for string data types. For numeric data types, precision includes scale. Maximum number of digits after the decimal point for numeric values. of the column. 20 Chapter 4: Data Objects for Hive

21 Advanced Properties Advanced properties include run-time and other properties that apply to the relational data object. The Developer tool displays advanced properties for relational data object in the Advanced view. The following table describes the Advanced properties that you configure for a relational data object: Property Connection Owner Resource Database Type Resource Type Name of the Hive connection. Name of the Hive database. Name of the resource. Type of the source. This property is read-only. Type of the resource. This property is read-only. Relational Data Object Read Properties The data object operation properties include general, ports, query, sources, and advanced properties that the Data Integration Service uses to read data from Hive. Select the read transformation to edit the read properties. Note: You cannot preview data from a Hive table that contains a partitioned column of Boolean data type. General Properties The general properties for the read transformation include the properties for name, description, and metadata synchronization. The following table describes the general properties that you configure for the relational data object: Property Name When column metadata changes Name of the relational data object. This property is read-only. You can edit the name in the Overview view. When you use the relational file as a source in a mapping, you can edit the name within the mapping. of the relational data object. Indicates whether object metadata is synchronized with the source. Select one of the following options: - Synchronize output ports. The Developer tool reimports the object metadata from the source. - Do not synchronize. Object metadata may vary from the source. Relational Data Object Read Properties 21

22 Ports Properties Ports properties include column names and column attributes such as data type and precision. The following table describes the ports properties that you configure for relational sources: Property Name Type Precision Scale Column Resource Name of the column. Native data type of the column. Maximum number of significant digits for numeric data types, or maximum number of characters for string data types. For numeric data types, precision includes scale. Maximum number of digits after the decimal point for numeric values. of the column. Name of the column in the source. Name of the resource. Query Properties The Data Integration Service generates a default SQL query that it uses to read data from the relational resources. The default query is a SELECT statement for each column that it reads from the sources. You can override the default query through the simple or advanced query. The following table describes the query properties that you configure for relational sources: Property Show Select Distinct Join Filter Sort Advanced Query Overrides the default query with a simple or advanced query. Use the simple query to select distinct values, enter a source filter, sort ports, or enter a user-defined join. Use the advanced query to create a custom SQL query for reading data from the sources. Selects unique values from the source. The Data Integration Service filters out unnecessary data when you use the relational data object in a mapping. User-defined join in a relational data object. A user-defined join specifies the condition used to join data from multiple sources in the same relational data object. Filter value in a read operation. The filter specifies the where clause of select statement. Use a filter to reduce the number of rows that the Data Integration Service reads from the source. When you enter a source filter, the Developer tool adds a WHERE clause to the default query. Sorts the rows queried from the source. The Data Integration Service adds the ports to the ORDER BY clause in the default query. Custom query. Use the advanced query to create a custom SQL query for reading data from the sources. 22 Chapter 4: Data Objects for Hive

23 Run-time Properties The run-time properties displays the name of the connection used for read transformation. The following table describes the run-time properties that you configure for relational sources: Property Connection Owner Resource Name of the Hive connection. Name of the Hive database. Name of the resource. Sources Properties The sources properties lists the resources that are used in the relational data object and the source details for each of the resources. You can add or remove the resources. The Developer tool displays source properties for the read transformation. Advanced Properties The Data Integration Service runs the SQL commands when you use the relational data object in a mapping. The Data Integration Service runs pre-mapping SQL commands against the source database before it reads the source. It runs post-mapping SQL commands against the source database after it writes to the target. The file path in an SQL command depends on the type of the run-time environment. If you run the mapping in the native environment, the file path must be relative to the host that you specified in the Hive connection. If you run the mapping in the Hadoop environment, the file path must be relative to the machine that hosts the Data Integration Service for the Hive environment type. The following table describes the advanced properties that you configure for Hive sources: Property Tracing level PreSQL PostSQL Controls the amount of detail in the mapping log file. SQL command the Data Integration Service runs against the source database before it reads the source. The Developer tool does not validate the SQL. SQL command the Data Integration Service runs against the source database after it writes to the target. The Developer tool does not validate the SQL. Relational Data Object Write Properties The data object operation properties include general, ports, run-time, target, and advanced properties that the Data Integration Service uses to write data to Hive. Select the write transformation to edit the write properties. Relational Data Object Write Properties 23