Index[SYMBOL] [A] [B] [C] [D] [E] [F] [G] [H] [I] [J] [K] [L] [M] [N] [O] [P] [Q] [R] [S] [T] [U] [V] [W] [X] lag( ) OLAP function large data volumes, coping with data warehousing increasing volumes partitioning as solution sensitivity of operations to sudden increase in volume last_insert_id( ) (MySQL) latching LDAP (Lightweight Directory Access Protocol) leading bytes, using for index queries leaf nodes aggregation of values stored in computing head counts at all levels modeling head counts least( ) function legacy system data levels in trees Lightweight Directory Access Protocol (LDAP) like operator limitation criteria linear sensitivity to data volume increases linked server list-partitioning listener program, contacting in database connections lists content lists, indexes and querying a list variable selecting rows matching several items load database load, main indicators of increase in server load relating to execution of SQL statements loading data locking 2nd causing sudden localized slowness committing and granularity of lock handling scalability and logic, programming into queries loop-back database link loops not executing queries in low cardinality |