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The Data Hub profiles is used by the Data Hub forwarding- and task agent to connect to an Impala database via Cloudera JDBC, and an HDFS. This profile is also used to map the input UDRs to the Data Hub forwarding and an Impala database table. 

The Data Hub profile is loaded when you start a workflow that depends on it. Changes to the profile become effective when you restart the workflow.

Configuration

To create a new Data Hub profile configuration, click the New Configuration button in the upper left part of the Desktop window, and then select Data Hub Profile from the menu.

The contents of the menus in the menu bar may change depending on which configuration type that has been opened in the currently active tab. The Data Hub profile uses the standard menu items and buttons that are visible for all configurations, and these are described in /wiki/spaces/MD82/pages/3769348 in the /wiki/spaces/MZD73/pages/5656992.

Impala Tab

The impala tab contains connections settings for the Impala database.

Data Hub profile configuration - Impala tab


SettingDescription
HostEnter the hostname or the IP address of the Impala database.
PortEnter the port number that is configured for the connection into the Impala database.
Enable TLSAllows the user to enable the TLS functionality for the connection to the Impala database.
Allow Self Signed CertCheckbox to enable the usage of Self Signed Certificates. If this checkbox is enabled, both Trust Store File Path and Trust Store Password will be disabled.
Trust Store File PathThis field is available when you have enabled TLS. Enter the location of the trust store file.
Trust Store PasswordThis field is available when you have enabled TLS. Enter the passphrase of the trust store file.
Key Store File PathThis field is available when you have enabled TLS. Enter the location of the key store file.
Key Store PasswordThis field is available when you have enabled TLS. Enter the passphrase of the key store file.
Database NameClick the Refresh button next to Database Name to retrieve a list of available database and then select a database from the drop-down menu. The Tables Mapping tab will appear.
RefreshClick the refresh to retrieve a list of available databases.
Test ConnectionClick to  test the JDBC connection to the Impala database.

HDFS

The HDFS tab contains the properties required for the connection to HDFS as well as properties for staging paths

Data Hub profile configuration - HDFS tab


SettingDescription
HDFS URIEnter the URI of the HDFS NameNode.
Staging PathEnter the absolute path to an existing directory on the HDFS. This directory will be used as a staging directory for the data.
MZ Temp PathEnter the path for temporarily storing the files locally before it is inserted into the HDFS staging directory.
Create DirectorySelect this to create the MZ Temp Path directory if it does not exist. 

Advanced

The Advanced tab contains the properties needed for Data Hub agent to connect to any Cloudera configurations that has LDAP and Kerberos enabled.

Data Hub profile configuration - Advanced tab


See the text in the Properties field for further information about the other properties that you can set.


Kerberos JVM

Due to the behavior of the Kerberos JVM, Data Hub profiles and agents that will interface with a Kerberos enabled Cloudera must be configured to run on the same EC.

Kerberos Keytab

You will need to ensure the keytab file is located in the same host as the EC that will be running the workflow with the Data Hub agent.

Tables Mapping

The Tables Mapping tab contains the mapping between one or more database table and a UDR type that you have selected in this tab. 

Data Hub profile configuration - Tables Mapping tab

SettingDescription
Table

Select a database table from the drop-down list. The name of the table columns and their data type will appear.

Hint!

You can map more than one table to a UDR type. This makes it possible to use the same profile for multiple Data Hub agents.

Note!

If you have created a new table that appears to be missing in the drop-down list, click the Refresh button in Impala tab and then reselect the database. The table should now be listed.

UDR TypeClick the Browse button and then select a UDR type that will be routed to a Data Hub agent. For information about Ultra types that can be mapped to Impala types, see Compatible Types below.
Auto Map

Click this button to automatically map UDR fields and database columns with identical names. The automatic mapping is not case-sensitive. If a field cannot be mapped, the current value in the UDR Field column remains unchanged.

ColumnThe name of the columns in the selected table.
Type

Clicking the cell, displays a list of valid Impala types. Each column must be mapped against a type. For information about Ultra types that can be mapped to Impala types, see Compatible Types below.

UDR FieldSelect a UDR field from the drop-down list. This represents selectable fields available based on the selected UDR Type above.
Date Hint

Select the date format to be stored in the table. This is required for a partition column. A date in the Ultra format can be stored as INT, BIGINT and SMALLINT types.

When the column is a partition, you must select the corresponding date format from this drop-down list:

  • yyyyMMddHH - e g 2018123013
  • yyyyMMdd - e g 20181230
  • yyyyMM - 201812

  • yyyy - 2018

The selected format determines the granularity of date pickers in the Web UI.

When you change the Date Hint value of a partition column for an existing profile, make sure to review the settings of Data Hub task workflows that depend on the updated profile and table.

If the table already contains data when you change the Date Hint of a partition column, the Data Hub task agent will fail to delete any of the partitions. To resolve this issue you must manually delete the partitions that contain the old format, e g using Cloudera Hue.

Example - SQL statement to partition

alter table default.cw_carrier_voice_mis drop partition (yearmonthday=201812);


When the UDR fields do not have names that matches the database columns, you can map these manually by clicking the corresponding cell and selecting the field from a drop-down list. 

Compatible Types

The following table shows allowed mappings of Impala types to Ultra types.

Impala TypeImpala RangeUltra TypeUltra Range
STRINGMaximum of 32,767 bytesstringUnlimited
INT-2147483648 to +2147483647int-2,147,483,648 to +2,147,483,647
short-32,768 to +32,767
byte-128 to +127
FLOAT1.40129846432481707e-45 to 3.40282346638528860e+38
(positive or negative)
float1.40129846432481707e-45 to 3.40282346638528860e+38
(positive or negative)
DOUBLE4.94065645841246544e-324d to 1.79769313486231570e+308
(positive or negative)
double4.94065645841246544e-324d to 1.79769313486231570e+308d
(positive or negative)
float1.40129846432481707e-45 to 3.40282346638528860e+38
(positive or negative)
BOOLEANTRUE or FALSEbooleantrue or false
BIGINT-9223372036854775808 to +9223372036854775807long-9223372036854775808 to +9223372036854775807
int -2,147,483,648 to +2,147,483,647
short-32,768 to +32,767
byte-128 to +127
REAL4.94065645841246544e-324d to +1.79769313486231570e+308
(positive or negative)
double4.94065645841246544e-324d to 1.79769313486231570e+308d
(positive or negative)
SMALLINT-32768 to +32767short-32,768 to +32,767
byte-128 to +127
TINYINT-128 to +127byte-128 to +127
TIMSTAMPYYYYMMDDHHdateyyyyMMddHH


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