Log files typically contain a lot of text. One way to handle a large amount of text is to group similar log entries together and parse them. The Log Viewer enables you to present raw log data in a sortable, filterable table format that is easy to work with.
Use the Log Viewer to browse through the contents of individual process log files or search selected log files using keywords. Only hosts or process groups active during the selected time frame are shown. Log results can be returned in either raw or aggregated form. You can parse the result table and narrow down the text pattern search result, show and hide specific columns, and define your own custom columns.
Use a bookmark to save and reuse your search queries and filters. Any changes you make during your log analysis (log parsing and column filtering) will be saved within the bookmark. Using bookmarks, you can return to the same settings later, but with the default time frame.
Sharing log analysis differs from bookmarks. The share link includes the selected time frame so the person who receives the link sees exactly what you want to share in the time frame that you selected.
Searching for text patterns
To search log files for a text pattern, first select the logs based on the host or process groups perspective. Then search for a text pattern using the Dynatrace search query language (or leave blank to return all results).
Using combinations of keywords, phrases, logical operators, and parentheses, the Dynatrace search query language provides you with complete flexibility over searches through important process-log content.
To return all results, leave the query box blank.
You can click or highlight sections or elements of the displayed log content to create or modify the text pattern search query. Click Display log to display the selected logs again.
|Single‑word terms||Single-word searches help you find individual word occurrences. Searches are case-insensitive.
Searched words in log files are defined as strings between any non-alphanumerical or white space character. For example, querying the string
|Phrases||Phrases are groups of words surrounded by double quotes. Phrases are treated just like single-word terms in queries. When a search phrase consists only of alphanumeric characters
You can NOT include any Boolean operators, wildcards, or groupings (see below) inside quoted phrases. Any character included within quotation marks is searched literally. For example,
|Boolean operators||Operators can be written in either uppercase or lowercase:
|Wildcards||Wildcards can be used to represent a variable or unknown alphanumeric characters in search terms. An asterisk
Note: Single-character wildcard queries
Error AND Module1?2
"Connection refused" OR Timeout
Procedure AND (started OR stopped)
Exception AND NOT repeat*
Note that, not all parsing and filtering options are available with the free tier of Log Analytics. Some analysis tools may not be available in your Log viewer.
See What data storage advantages does Log Analytics provide?
Dynatrace will read the log content and automatically determine the structure of the log, the type of data it contains, and how to present the results in columns. If more than 50 columns are automatically detected, the displayed results will contain the 50 columns with the highest values count.
Dynatrace will read the content of selected logs, determine the structure of the log, and present the results in columns only for logs that contain JSON-format data. Each automatically parsed column will represent a JSON field detected in the log entry.
The results reflect the actual log file content.
If more than 50 columns are automatically detected, the displayed results will contain the 50 columns with the highest values count.
You can add, hide or remove a custom column to your log display. Each column name must be unique. Don't use the name of any automatically detected column or repeat a custom column name you already used.
To indicate the section of a log entry that should be listed in your new column, type in the prefix and suffix, and select the type of value that you want to list in the custom column.
The matching value will be treated as the type you indicated. A text value is treated as text even when the value is a number. A number is used for general display of numbers (positive and negative). This is important for sorting purposes.
In this example, we have already selected a log file and searched for the
CRON text pattern.
Click Configure column display and leave the default parsing method (automatic).
Click Add custom column, type in the column name (
cron sessions) and value prefix (
You can leave the suffix empty, as we want the rest of the line shown in the column, and make sure that the value type is set to
Click Add custom column to accept your column configuration.
You newly added custom column will be listed along with default columns. You can show, hide, delete, and edit your custom column. Click Details for your new column to view the top values. In this case, you can easily see the number of opened and closed sessions.
Column values filter
You can apply a filter to the results of the text pattern search, but only to the columns that are not restricted (
.Content). Apply the filter to all manual and automatically parsed columns. Both column names and values used in the filter are case sensitive.
Every column contains a value of a specific type: text (string), number (integer), number (decimal), or Boolean true/false. Depending on the value type, the syntax of your filter can vary. For example, if the column is a number (integer) type and you assign a different value type (string, decimal, or true/false) in your filter, you will generate a parsing error.
Column names containing special characters must be enclosed in single quotes.
`integer Column # 2` = 20
Filtered values containing quotation marks must be enclosed in double quotation marks.
For example, the value
path "test" errorshould be entered in the filter as:
expath = "path ""test"" error"
Column values where the sum of column name and value length exceeds 8191 characters are shortened with an ellipsis.
An invalid column filter query will not be applied to already saved or shared bookmarks.
|Boolean||Boolean value. Wildcards aren't accepted for Boolean values. (true or false)||
|Number||Number value, can be integer or decimal. Only
|Phrase||Group of words surrounded by double quotes. Treated in search like a single word. Wildcards accepted inside the parentheses.||
|Wildcard||Substitutes part of a single word term. Possible special characters:
|Operator||AND - surrounding terms must exist
OR - one of the surrounding terms must exist
NOT - succeeding term or phrase must not exist
|Comparison||> (greater than)
< (less than)
>= (greater than or equal)
<= (less than or equal)
!= (not equal to)
= (equal to)
BETWEEN (range to test)
The AND operator must be present in this statement.
|Group||Parentheses ( ) group clauses to form sub-queries||
Top N occurrences
Click on any column name to view the top 10 values with the most occurrences within that column. The value occurrence percentage is in relation to the result based on the column filter.
For example, if you Include in the filter only one value for a particular column, the occurrence of that value in that column will be 100%.
The remainder of the filtered values that do not qualify for the top 10 most occurring values within the column.
A count of the filtered log records that contain no value in the selected column.
Use the Include and Exclude buttons to add or subtract the value in the column filter syntax. Click Apply to update the filter result.
If you Include the value in the filter, the result will display only the selected (included) values. If you Exclude the value in the filter, the result will display all values except the ones you have excluded in the filter. You can include and exclude multiple values in one filter.
To reset the filter, clear the filter syntax and click Apply.