You can create a data collector to upload individual log files (up to 100 MB in size) from the computer on which you are accessing the product Console.
BMC recommends that you not use this data collector for files that are updated dynamically.
Only that data which is present in the file at the time of uploading is collected. Any additional data added to the file, after the file is already uploaded into the system, does not get collected.
This topic contains the following information:
In the Name box, provide a unique name to identify this data collector.
From the Type list, select Upload file.
Provide the following information, as appropriate:
(Optional) Select from a list of hosts that you have already configured under Administration > Hosts.
The target host is the computer from which you want to retrieve the data. You can choose to select the target host and inherit the host-level tags and group access permissions already added to the host, or manually enter the host name in the Server Name field.
|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 value is the same.
Enter the host name of the server from which you want to retrieve the data.
Note: If you selected a target host earlier, this field is automatically populated. The value of this field is necessary for generating the "HOST" field that enables effective data search.
This field is mandatory to enable you to search data that you are uploading by host name.
|File Path||Provide the path of the log file.|
(Optional) Accept the default Use file time zone option or select a time zone from the list.
With the default option, data is indexed as per the time zone available in the data file. If the data file does not contain a timezone, then the time zone of the Collection Host (Collection Station or Collection Agent server) is used.
Keep in mind that the selected timezone must match the timezone of the server from which you want to collect data. If you manually specify the timezone despite the file containing a timezone, then the manually specified timezone overrides the file timezone.
Assign the data pattern (and optionally date format) for indexing the data file.
The data pattern and date format together decide the way in which the data will be indexed. When you select a data pattern, the matching date format is automatically selected. However, you can override the date format by manually selecting another date format or by selecting the option to create a new date format. By doing this, the date format is used to index the date and time string, while rest of the data is indexed as per the data pattern selected.
Instead of manually browsing through the list of available data patterns, you can click Auto-Detect to automatically find a list of matching data patterns. If no matching data patterns are found, then a list of matching date formats is displayed. By selecting the date format, the date and time string (in the data) is indexed with the selected date format, while rest of the data is indexed as free text.
If you cannot find both matching data patterns and date formats, then you can choose to index the data as free text. Depending on whether the data contains a date and time string, you can choose to assign the data pattern as Free Text with Timestamp or Free Text without Timestamp. All the records processed by using the Free Text without Timestamp option are assumed to be a single line of data with a line terminator at the end of the event. To distinguish records in a custom way, you can specify a custom string or regular expression in the Event Delimiter box, which decides where the new line starts in the data.
If you are collecting JSON data, then depending on whether the data contains a date and time string, you can assign the data pattern as JSON with Timestamp or JSON without Timestamp.
After assigning the data pattern (and optionally date format), you can preview the sample records.
For more information, see Assigning the data pattern and date format.
(Optional) You can use this setting to enable reading the date and time string based on the language selected. Note that this setting only applies to those portions of the date and time string that consist letters (digits are not considered).
By default, this value is set to English.
You can manually select a language to override the default locale. For a list of languages supported, see Language information.
If your data file uses a character set encoding other than UTF-8 (default), then do one of the following:
|Read from Past (#days)|
Indicates the number of days for which past data can be collected and indexed. The maximum amount of past data that can be collected into the system is defined by the data retention period. You can change this value by navigating to Advanced Options and changing the Data Retention Period (in days) field value.
By default, this value is set to 7.
Recommendation: BMC recommends you to not use a very high value in this field (for example, 365). This is necessary to avoid a very large amount of data collected into the system in a short time.
|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:
Example: While using the following sample data, you can provide the following input to ignore particular lines.
|Data Retention Period (in days)|
Indicates the number of days for which indexed data must be retained in the system.
By default, this value is set to 7. The default value is based on the maximum data retention period specified at Administration > System Settings.
You can change this limit to a maximum of 14 days. To increase the limit beyond 14 days, you need to modify the value of the following property:
After changing the property value, you need to restart the Search component to apply the change.
|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 with 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.
|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: 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.
|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: You can access data retrieved by this data collector based on the following conditions.
For more information, see Managing user groups in IT Data Analytics.
By default, the limit for uploading a file is set to 100 MB. You can change this limit by adding the
collection.upload.maximumAllowedFileSizeInMB property in the olaengineCustomConfig.properties file located at %BMC_ITDA_HOME%\custom\conf\server. The value of this property is the size of data (in MB) that you want to collect.
After adding the property, save the file, and then restart the service for the Console Server. For more information, see Starting or stopping product services.
BMC recommends you to not upload files higher than 100 MB in size because this might lead to the data collector timing out.