For any entries that match, the value of the group field in the lookup dataset is written to the field user_group in the search results. The values in the user field in the lookup dataset are mapped to the corresponding value of the field local_user in the search results. The dataset contains multiple fields, including user and group. There is a KV store lookup dataset called usertogroup. Lookup users and return the corresponding group the user belongs to | lookup addresses CustID AS cid OUTPUT CustAddress AS cAddress 3. Find the corresponding CustAddress value and use the address in the lookup dataset to replace the cAddress in the search results. It maps each value in the CustID field in the lookup dataset with the matching value in the cid field in the search results. This example replaces the data returned from the search results with data in the addresses lookup dataset. Replace data in your events with data from a lookup dataset Because there is no uid to match on, there are no changes to the search results for that event.Ģ. The fourth event was missing the department and the uid. By default, grep prints the matching lines. The grep tool searches the named input files for lines containing a match to the given pattern.
If the search results already have the username and department fields, the OUTPUTNEW argument only fills in missing values in those fields.īecause the third event was missing the department, the department name is added to the search results. Search for text in a file using Terminal on Mac To locate a string within a file, use the grep tool. The username and department fields from the users lookup dataset are appended to each search result. | lookup users uid OUTPUTNEW username, department When you run the following search, for search results that contains a uid field, the value in that field are matched with the uid field in the users lookup dataset.
The fourth event is missing the department and the uid. The third event is missing the department. The users lookup dataset contains this data: This example appends the data returned from your search results with the data in the users lookup dataset using the uid field. Put corresponding information from a lookup dataset into your events To learn more about the lookup command, see How the lookup command works.ġ. Output where some history is stored: cat ~/.The following are examples for using the SPL2 lookup command. Run the source command can be used to load any functions file into the current shell script or a command prompt. Modify history environment variables, set to a value: export HISTFILESIZE=1000 Otherwise, the overwritten alternative proceeds. You may use also histappend to append history, If the histappend shell option is turned on lines are appended to the history file. The reason is that the history file is overwritten with the HISTSIZE unless using histappend option turned ON. If the set HISTFILESIZE is determined to be a large value than what HISTSIZE is set, you will not view history larger than your set HISTSIZE. HISTSIZE will determine specifically how many lines will be stored or in other words, written at the end of the session. HISTFILESIZE will only set a maximum history value which is stored to the history file when a session is started. It is possible to achieve this by modifying ~/.bash_profile, the number placeholder with SIZE represent's the number, lines value as example: export HISTFILESIZE=SIZE # Example 1000 You may achieve this through HISTSIZE and HISTFILESIZE environment variables which are located in your ~/.bash_profile file. Note: You may also increase your command history storage size in the length of two variables. HISTFILESIZE Determines how long the file. HISTSIZE Determines how many lines will be written to the history file.
You might want to automate, or quickly view history, maybe from the dock. Since you mentioned viewing your history as a quick solution, via the Terminal.app.