Monitor file on Collection Agent

To locally collect files from a host

1. Navigate to Administration > Data Collectors > Add Data Collector .
2. In the Name box, provide a unique name to identify this data collector.
3. From the Type list, select Monitor File on Collection Agent.

4. Provide the following information, as appropriate:

   Field	Description
   Target/Collection Host
   Collection Host (Agent)	Type or select the collection host depending on whether you want to use the Collection Station or the Collection Agent to perform data collection. The collection host is the computer on which the Collection Station or the Collection Agent is located. By default, the Collection Station is already selected. You can either retain the default selection or select the Collection Agent. Note: For this type of data collector, the target host and collection host are expected to have the same values.
   Collector Inputs
   Directory Path	Provide the absolute path of the log file. To retrieve log files from subdirectories, do not provide the absolute path; instead, provide the path up to the parent directory.
   Include subdirectories	(Optional) Select this check box if you want to retrieve log files from subdirectories of the file path specified.
   Filename/Rollover Pattern	Specify the file name only, or specify the file name with a rollover pattern to identify subsequent logs. You can use the following wild card characters: Asterisk (*)—Can be used to substitute zero or more characters in the file name. Question mark (?)—Can be used to substitute exactly one character in the file name. Specifying a rollover pattern can be useful to monitor rolling log files where the log files are saved with the same name but differentiated with some variable like the time stamp or a number. Note: Ensure that you specify a rollover pattern for identifying log files that follow the same data format (which means they will be indexed with the same data pattern). See examples Scenario 1 Suppose you want to collect log files saved with succeeding numbers once they reach a certain size; for example: IAS0.log IAS1.log IAS2.log Rollover pattern: In this scenario, you can specify the rollover pattern as IAS?.log. Scenario 2 Suppose you want to collect log files that roll over every hour and are saved with the same date but a different time stamp in the YYYY-MM-DD-HH format; for example: 2013-10-01-11.log 2013-10-01-12.log 2013-10-01-13.log Rollover pattern: In this scenario, you can specify the rollover pattern as 2013-10-01-*.log.
   Time Zone	Excerpt named time zone was not found in document xwiki:IT-Operations-Management.Operations-Management.BMC-TrueSight-IT-Data-Analytics.itda20.Administering.Creating-data-collectors.Upload-file.WebHome.
   Data Pattern
   Pattern	Excerpt named pattern was not found in document xwiki:IT-Operations-Management.Operations-Management.BMC-TrueSight-IT-Data-Analytics.itda20.Administering.Creating-data-collectors.Upload-file.WebHome.
   Date Format	When you select a data pattern, the matching date format is automatically updated. However, you can specifically find date formats matching the timestamp in your data file. Use one of the following methods to specify a date format: Filter the relevant data formats: Click Auto-Detect to find automatically find a list of matching data patterns and date formats. If no matching data patterns are found, a list of matching date formats is displayed. You can click each of the date formats displayed on the left, to see a preview of the sample records. Manually select a date format: Manually scan through the list available, and select one of the date formats available. Click Preview to see the sample records parsed. Alternatively, from the Pattern list, select Free Text with Timestamp and click Preview to find the relevant data formats that match the file. Create a new date format: If you are not satisfied with the results arising out of the date formats available, you can create a new date format. To do this, select the Create new Date Format option and manually enter the date format depending on the timestamp that you want to capture. For example, if your data file contains the timestamp, "28 Apr 2014 10:58:28", then your date format must be dd MMM yyyy HH:mm:ss. Notes: If you select both – a pattern and a date format, then the date format specified takes precedence over the date format from the pattern that you selected. So the timestamp is indexed as per the specified date format, and the rest of the data is indexed as per the pattern. If you select only a date format, then the date format is used for indexing the timestamp, while the rest of the data is displayed in a raw format in your search results.
   Poll Interval (mins)	Enter a number to specify the poll interval (in minutes) for the log collection (0 indicates that this is a one-time log collection). By default, this value is set to 1.
   Start/Stop Collection	(Optional) Select this check box if you want to start the data collection immediately.

    

   Advanced Options

   File Encoding	If your data file uses a character set encoding other than UTF-8 (default), then do one of the following: Filter the relevant character set encodings that match the file. To do this, click Filter relevant charset encoding next to this field. Manually scan through the list available and select an appropriate option. Allow IT Data Analytics to use a relevant character set encoding for your file by manually select the AUTO option.
   Ignore Data Matching Input	(Optional) If you do not want to index certain lines in your data file, then you can ignore them by providing one of the following inputs: Provide a line that consistently occurs in the event data that you want to ignore. This line will be used as the criterion to ignore data during indexing. Provide a Java regular expression that will be used as the criterion for ignoring data matching the regular expression. Example: While using the following sample data, you can provide the following input to ignore particular lines. To ignore the line containing the string, "WARN", you can specify WARN in this field. To ignore lines containing the words both "WARN" and "INFO", you can specify a regular expression .*(WARN|INFO).* in this field. Sample data Sep 25, 2014 10:26:47 AM net.sf.ehcache.config. ConfigurationFactory parseConfiguration():134 WARN: No configuration found. Configuring ehcache from ehcache-failsafe.xml  found in the classpath: Sep 25, 2014 10:26:53 AM com.bmc.ola.metadataserver. MetadataServerHibernateImpl bootstrap():550 INFO: Executing Query to check init property: select * from CONFIGURATIONS where userName = 'admin' and propertyName ='init' Sep 30, 2014 07:03:06 PM org.hibernate.engine.jdbc.spi. SqlExceptionHelper logExceptions():144 ERROR: An SQLException was provoked by the following failure: java.lang.InterruptedException Sep 30, 2014 04:39:27 PM com.bmc.ola.engine.query. ElasticSearchClient indexCleanupOperations():206 INFO: IndexOptimizeTask: index: bw-2014-09-23-18-006 optimized of type: data
   Best Effort Collection	(Optional) If you clear this check box, only those lines that match the data pattern are indexed; all other data is ignored. To index the non-matching lines in your data file, keep this check box selected. Note: Non-matching lines in the data file are indexed on the basis of the Free Text without Timestamp data pattern. Example: The following lines provide sample data that you can index by using the Hadoop data pattern. In this scenario, if you select this check box, all lines are indexed. But if you clear the check box, only the first two lines are indexed. Sample data 2014-08-08 15:15:43,777 INFO org.apache.hadoop.hdfs.server. datanode.DataNode.clienttrace: src: /10.20.35.35:35983, dest: /10.20.35.30:50010, bytes: 991612, op: HDFS_WRITE, cliID: 2014-08-08 15:15:44,053 INFO org.apache.hadoop.hdfs.server. datanode.DataNode: Receiving block blk_-6260132620401037548_ 683435 src: /10.20.35.35:35983 dest: /10.20.35.30:50010 2014-08-08 15:15:49,992 IDFSClient_-19587029, offset: 0, srvID: DS-731595843-10.20.35.30-50010-1344428145675, blockid: blk_-8867275036873170670_683436, duration: 5972783 2014-08-08 15:15:50,992 IDFSClient_-19587029, offset: 0, srvID: DS-731595843-10.20.35.30-50010-1344428145675, blockid: blk_-8867275036873170670_683436, duration: 5972783

   Tags

   Inherit Host Level Tags From Target Host

   (Optional) Select this check box to inherit your tag selections associated with the target host that you selected earlier. This option is not applicable if you did not select a target host. Note that after selecting this check box, you can further manually select additional user groups. When you manually select additional user groups, both the inherited permissions as well as the manually assigned permissions are applied. To remove the inherited permissions, clear this check box.

   Select Tag name and corresponding value

   (Optional) Select a tag name and specify the corresponding value by which you want to categorize the data collected. Later while searching data, you can use these tags to narrow down your search results. Example: If your are collecting data from hosts located at Houston, you can select a tag name for "Location" and in the value specify "Houston". While searching the data, you can use the tag, Location="Houston" to filter data and see results associated with the Houston location. To be able to see tag names, you need to first add them by navigating to Administration > System Settings. To specify tag names and corresponding values, in the left box select a tag name and then type the corresponding tag value in the right box. While you type the value, you might see type-ahead suggestions based on values specified in the past. If you want to use one of the suggestions, click the suggestion. Click Add to add the tag name and corresponding value to the list of added tags that follow. Click Remove Tag to remove a tag. The tags saved while creating the data collector are displayed on the Search tab, under the Filters panel, and in the Tags section. Note: At a time, you can specify only one value for a tag name. To specify multiple values for the same tag name, each time you need to select the tag name, specify the corresponding value, and click Add. For more information about tags, see Understanding-fields-and-tags.

   Group Access

   Inherit Host Level Access Groups From Target Host

   (Optional) Select this check box to inherit your group access configurations associated with the target host that you selected earlier. This option is not applicable if you did not select a target host. Note: After selecting this check box, you can further manually select additional user groups. When you manually select additional user groups, both the inherited permissions as well as the manually assigned permissions are applied. To remove the inherited permissions, clear this check box.

   Select All Groups

   (Optional) Select this option if you want to select all user groups. You can also manually select multiple user groups. Notes: If you do not select any user groups and data access control is not enabled, then all users can access data retrieved by this data collector. You can restrict access permissions by selecting the relevant user groups that must be given access permissions. To enable data access control, navigate to Administration > System Settings. If you do not select any user group and data access control is enabled, then only the creator of the data collector has access to data retrieved by this data collector. For more information, see Managing-user-groups.

5. Click Create to save your changes.