1. A method for processing log data, the method comprising: receiving raw log data in a log data analyzer from a plurality of log-producing devices, the raw log data including a plurality of messages; parsing the raw log data to generate structured query language (SQL) statements representing the raw log data, including: extracting fields from the raw log data based on a log data message type for each message, the log data message type indicating that a respective message is associated with a pre-defined type of event on a log-producing device that produced the respective message; generating the SQL statements from the extracted fields, wherein the extracted fields are incorporated into the SQL statements; and inserting the SQL statements into a database table designated to store the generated SQL statements on a volatile storage device, the database table being different from database tables for storing the raw log data; summarizing the SQL statements, including: at pre-specified time intervals, copying the SQL statements stored in the database table stored on the volatile storage device to one or more database tables stored on a non-volatile storage device; identifying, from the SQL statements stored in the one or more database tables on the non-volatile storage device, a set of one or more SQL statements each including one or more fields of commonality and one or more fields of uniqueness, each field of commonality being a field storing a value that is commonly incorporated in the set of SQL statements, each field of uniqueness being a field storing values that are different among the set of SQL statements; and creating summarized data, the summarized data including a new statement condensed from the identified set of one or more SQL statements based on the one or more fields of commonality and one or more fields of uniqueness; and generating a report based on the summarized data, wherein the method is performed by one or more computers.