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The WebLogic Diagnostic Framework (WLDF) includes a query language for constructing watch rule expressions, Data Accessor query expressions, and log filter expressions. The syntax is a small and simplified subset of SQL syntax.
The language is described in the following sections:
A query expression may include any of the following:
The query language is case-sensitive.
The query language supports the operators listed in Table A-1.
The following list shows the levels of precedence among operators, from the highest precedence to the lowest. Operators listed on the same line have equivalent precedence:
Numeric relational operations can be performed on String column types when they hold numeric values. For example, if STATUS is a String type, while performing relational operations with a numeric operand, the column value is treated as a numeric value. For instance, in the following comparisions:
the query evaluator attempts to convert the string value to appropriate numeric value before comparision. When the string value cannot be converted to a numeric value, the query fails.
Rules for numeric constants are as follows:
Rules for string literals are as follows:
%) can be used as a wildcard inside string literals. \) can be used to escape special characters, such as a quote (‘) or a percent character (%).java.lang.String.compareTo(String str) method.
Variables represent the dynamic portion of a query expression that is evaluated at runtime. You must use variables that are appropriate for the type of expression you are constructing, as documented in the following sections:
You can create watches based on log events, instrumentation events, and harvested attributes. The variables supported for creating the expressions are different for each type of watch, as described in the following sections:
For complete documentation about configuring and using WLDF watches, see:
A log event watch rule expression is based upon the attributes of a log message from the server log.
Variable names for log message attributes are listed and explained in Table A-2:
An example log event watch rule expression is:
(SEVERITY = 'Warning') AND (MSGID = 'BEA-320012')An instrumentation event watch rule expression is based upon attributes of a data record created by a diagnostic monitor action.
Variable names for instrumentation data record attributes are listed and explained in Table A-3:
An example instrumentation event data rule expression is:
(USERID = 'weblogic')A harvester watch rule expression is based upon one or more harvestable MBean attributes. The expression can specify an MBean type, an instance, and/or an attribute.
The syntax for constructing a Harvester watch rule expression is as follows:
${[type_name]//attribute_name} ${com.bea:instance_name//attribute_name} ${domain_name:instance_name//attribute_name}| Note: | The domain_name is not required for a WebLogic Server domain name. |
The expression must include the complete MBean object name, as shown in the following example:
${com.bea:Name=HarvesterRuntime,Location=myserver,Type=HarvesterRuntime,
ServerRuntime=myserver//TotalSamplingCycles} > 10
Use the WLDF query language with the Data Accessor component to retrieve data from data stores, including server logs, HTTP logs, and harvested metrics. The variables used to build a Data Accessor query are based on the column names in the data store from which you want to extract data.
A Data Accessor query contains the following:
When there is a match, all columns of matching rows are returned.
The logical name for a data store must be unique. It denotes a specific data store available on the server. The logical name consists of a log type keyword followed by zero or more identifiers separated by the forward-slash (/) delimiter. For example, the logical name of the server log data store is simply ServerLog. However, other log types may require additional identifiers, as shown in Table A-4.
The column names included in a query are resolved for each row of data. A row is added to the result set only if it satisfies the query conditions for all specified columns. A query that omits column names returns all the entries in the log.
All column names from all WebLogic Server log types are listed in Table A-5.
An example of a Data Accessor query is:
(SUBSYSTEM = 'Deployer') AND (MESSAGE LIKE '%Failed%')
In that example, the Accessor will retrieve all messages from the Deployer subsystem that include the string “Failed.”
The following example shows an API method invocation. It includes a query for harvested attributes of the JDBC connection pool named MyPool, within an interval between a timeStampFrom (inclusive) and a timeStampTo (exclusive):
WLDFDataAccessRuntimeMBean.retrieveDataRecords(timeStampFrom,
timeStampTo, "TYPE='JDBCConnectionPoolRuntime' AND NAME='MyPool'")
For complete documentation about the WLDF Data Accessor, see Accessing Diagnostic Data With the Data Accessor.
The query language can be used to filter what is written to the server log. The variables used to construct a log filter expression represent the columns in the log:
| Note: | These are the same variables that you use to build a Data Accessor query for retrieving historical diagnostic data from existing server logs. |
For complete documentation about the WebLogic Server logging services, see “Filtering WebLogic Server Log Messages” in Configuring Log Files and Filtering Log Messages.
You can build complex query expressions using sub-expressions containing variables, binary comparisons, and other complex sub-expressions. There is no limit on levels of nesting. The following rules apply:
(SEVERITY = 'Warning') AND (MSGID = 'BEA-320012')${} if it includes special characters, as in an MBean object name. For example:${mydomain:Name=myserver,
Type=ServerRuntime//SocketsOpenedTotalCount} >= 1Notice that the object name and the attribute name are separated by '//' in the watch variable name.
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