Imbalanced Join Conditions in Database Queries
RDBMS or Database that is relational Management use questions to fetch information through the database. Queries are constructed on more than one table equi that is using non equi joins. Questions also can specify where conditions, where information will likely be retrieved depending on some conditions such as Select student_name from pupils where place_of_residence = “Chennai”. Join conditions are specified as Select a.customer_name, b.order_id from customer a, order b where a.customer_id = b.customer_id.

Within the above case a join will be made between two tables customer and order. Prior to a query being performed the SQL motor computes an execution plan. The question execution plan is a sequence of steps determined by the question optimizer. These actions would produce a sequence of operations which may bring about the cost that is lowest of performing the query. In complex circumstances whenever inquiries are built between many tables specifying many query conditions one or two missed join conditions can result in prolonged query run times in the event that database has high volumes of information.

A join of two tables without a join condition is simply a cross product of two sets. A cross product of two tables will result in 5,00,00,000 records if table A has 10,000 rows and Table B has 5000 rows. Whereas if a join condition is introduced the result set will include 10,000 rows or 5,000 rows into the search space that is resultant. If a query for example contains 10 tables and cross products of 2 or 3 tables taken at a time, and when the query phrase contains 20 – 30 joins three or four conditions that are join be missed down because of negligence or error. This can be the actual situation in case there is SQL queries running in big production or manufacturing outlets doing volume that is heavy processing. The dimensions of each table is extremely big and so are the true amount of tables.

A designer may write a query to record an Actualization process in a production household in which sales that are actual against projections are uploaded in to the database. Due to the complexity of the database a single question may utilize 20 tables holding more than 100000 records per table regarding the average. The query might use plenty of joins and then the query would search in a space of 10 power 20 records instead of just 10 power 5 records if due an accident some join conditions get skipped. This might trigger extended query execution time often an individual system containing such erroneous query can run for even 20 hours without completing the updations. But on identifying and incorporating missed join conditions such as table3.column3 = table4.column7 or table7.column2 = table1.column9 etc., into the query the question is built to run in appropriate time.