We develop hash-based algorithms for computing a three-way join. The method involves hashing all three relations into buckets, and then joining buckets in main memory, three buckets at a time. Comparing to two-cascaded hash joins, the algorithms avoid materializing an intermediate result. We present a cost model for this approach, from which we identify the range of parameters for queries that ...

In this paper, first a simplified version of a general fuzzy automaton with a fixed c is defined and then a subepisode of a simplified version of a general fuzzy automaton with a constant c is defined and explained connected and strong connected them, and finally, a model of quasi-order hypergroup on general fuzzy automaton with constant c is presented and the relationships between them are rev...

The results of a survey among a group of users of a Data-Base-Management-System (DBMS) that runs on personal computers and the results of various experimental studies indicate that specific support is necessary for this group of users in the form of the interface concept of active joins. An active join, presented in a list on the interface, enables end-users to manipulate data records by direct...

We propose a new algorithm called Stripe join for performing a join given a join index Stripe join is inspired by an algorithm called Jive join developed by Li and Ross Stripe join makes a single sequential pass through each input relation in addition to one pass through the join index and two passes through a set of temporary les that contain tuple identi ers but no input tuples Stripe join pe...

The key idea behind Inspector Joins is that during the I/O partitioning phase of a hash-based join, we have the opportunity to look at the actual data itself and then use this knowledge in two ways: (1) to create specialized indexes, specific to the given query on the given data, for optimizing the CPU cache performance of the subsequent join phase of the algorithm, and (2) to decide which join...