Abstract: Methods and systems for processing a database query are disclosed. An example method includes receiving a SQL database query at a database query handling server, and parsing the SQL database query to identify a database and one or more tables and columns identified by the SQL database query. The method also includes determining a query plan based on the parsed database query. At a database engine, and based on the query plan and the identified database, tables and columns, the method further includes identifying a set of data nodes implicated by the identified database, tables and columns, determining a set of reduce operations and levels at which each of the set of map-reduce operations are to execute, and passing the query plan, the set of data nodes, and the map-reduce operations to a map-reduce query execution framework. The map-reduce query framework returns records as query results to the client system.

Abstract: Systems and methods for identifying a faulty node in a Hadoop cluster using an interface to the Hadoop cluster are described. A method may include receiving, at an interface to a Hadoop cluster, an input requesting diagnostic information for one or more nodes in the Hadoop cluster. The input may also specify the one or more nodes in the Hadoop cluster for which diagnostic information is requested. The method may further include initiating a diagnostic analysis of the one or more nodes, and displaying, at the interface, the diagnostic information for the one or more nodes. The diagnostic information may identify a node exhibiting a fault and be displayed while the diagnostic analysis is in progress.

Abstract: Methods and systems for processing a database query are disclosed. An example method includes receiving a SQL database query at a database query handling server, and parsing the SQL database query to identify a database and one or more tables and columns identified by the SQL database query. The method also includes determining a query plan based on the parsed database query. At a database engine, and based on the query plan and the identified database, tables and columns, the method further includes identifying a set of data nodes implicated by the identified database, tables and columns, determining a set of reduce operations and levels at which each of the set of map-reduce operations are to execute, and passing the query plan, the set of data nodes, and the map-reduce operations to a map-reduce query execution framework. The map-reduce query framework returns records as query results to the client system.

Abstract: A graphical user interface system for a log analyzer having an input module, an output module, a merge module, and an export module. The input module selects one or more log files, and the output module displays the selected log files for analysis. The merging module performs time normalization for two or more log files from the selected log files, and merges the normalized log files. The export module can then export the merged log files.