- Go to the Hive server configuration.
- Set the
HiveServer2 Java Heap Sizeparameter to at least 1 GB.
In the connection wizard, you must select from the Distribution list the platform that hosts Hive. You must also set the Hive version and model. For further information, see http://hadoop.apache.org/.
If you decide to change the user name in an embedded mode of a Hive connection, you must restart the studio before being able to successfully run the profiling analyses that use the connection. For further information about the use of user credentials with Hive, see the documentation on How user credentials work in Hive embedded mode in Talend Studio (https://help.talend.com).
Click the button next to Hadoop Properties and in
the open dialog box click the [+] button to add
two lines to the table.
Enter the parameters names as
Set their values to the by-default value
This value is normally appropriate for running the computations.
- The parameter is
- The value is
|Unsupported indicators||Unsupported functions||Unsupported analyses|
|With SQL engine:
Soundex Low Frequency
Upper Quartile and Lower Quartile
All Date Frequency indicators
The View rows contextual menu for column analyses with unique, duplicate and all textual indicators. For further information on the View rows menu, see Viewing and exporting analyzed data.
The View match rows contextual menu for column analyses with unique, duplicate and all textual indicators. For further information on View match rows, see Comparing identical columns in different tables.
All contextual menus on the analysis results of functional dependency analysis. For further information on this analysis, see Detecting anomalies in columns (Functional Dependency Analysis).
The only analysis that is not supported for Hive is Time Correlation Analysis as the Date data type does not exist in Hive. For further information on this analysis type, see Time correlation analyses.
Microsoft SQL Server
Microsoft SQL Server 2012 and later are supported.
If you select to connect to the Microsoft SQL Server database with Windows Authentication Mode, you can select Microsoft or JTDS open source from the Db Version list.
When creating a connection to MySQL via JDBC, it is not mandatory to include the database name to the JDBC URL. Regardless of whether the database connection URL specified in the JDBC URL field includes the database name, all databases are retrieved.
For example, if you specify
tbi is the database name, or
all databases are retrieved.
To support surrogate pairs, you need to edit the following properties in the MySQL server configuration file:
[client] default-character-set=utf8mb4 [mysql] default-character-set=utf8mb4 character-set-server=utf8mb4
The Netezza database does not support regular expressions. If you want to use regular expressions with this database, you must:
- Install the SQL Extensions Toolkit package on a Netezza system. Use the regex_like function provided in this toolkit in the SQL template as documented in http://pic.dhe.ibm.com/infocenter/ntz/v7r0m3/topic/com.ibm.nz.sqltk.doc/r_sqlext_regexp_like.html.
- Add the indicator definition for Netezza in the Pattern
Matching folder in Talend Studio under .
The query template you need to define for Netezza is as the following:
SELECT COUNT(CASE WHEN REGEXP_LIKE(<%=COLUMN_NAMES%>,<%=PATTERN_EXPR%>) THEN 1 END), COUNT FROM <%=TABLE_NAME%> <%=WHERE_CLAUSE%>. For a detail procedure about how to add an indicator definition for a specific database, see Defining a query template for a specific database.
To support surrogate pairs, the
NLS_CHARACTERSET parameter of the
database must be set to UTF8 or
NLS_CHARACTERSET parameters are:
To check the database parameters, you can run the following SQL query:
SQL> SELECT * FROM NLS_DATABASE_PARAMETERS;
In the Teradata database, the regular expression function is installed by default only starting from version 14. If you want to use regular expressions with older versions of this database, you must install a User Defined Function in Teradata and add the indicator definition for Teradata in Talend Studio. To learn more about using regular expressions with Teradata, see the documentation on Using regular expressions with Teradata (https://help.talend.com).