AQL

Acceptable Quality Level (AQL) is a statistical concept used in quality control to define the maximum number of defective units allowed in a sample for the entire lot to be considered acceptable. It is part of sampling plans used to decide whether to accept or reject a shipment based on inspected items. AQLs are defined for defect categories such as minor, major, and critical and are linked to sample sizes and inspection levels. The chosen AQL reflects a balance between inspection cost and risk for both producer and consumer—the greater the risk tolerance, the higher the AQL. In practice, a random sample is inspected; if defects do not exceed the plan’s allowance, the lot is accepted; otherwise it is rejected or reworked. Standards such as ISO 3951, ISO 2859-1, and ANSI/ASQ Z1.4 provide commonly used AQL tables. AQL is a probabilistic measure, not a guarantee of defect-free production.

ArangoDB Query Language (AQL) is the declarative query language used by the multi-model database ArangoDB. It enables querying and updating documents and graphs across collections, with filtering, sorting, joining, and traversals. AQL uses clauses such as FOR, FILTER, SORT, LIMIT, and RETURN to construct data requests, and can combine graph and document queries in a single statement. Graph traversals use patterns like FOR v IN 1..N OUTBOUND 'start' GRAPH 'name'. AQL is central to applications built on ArangoDB, which stores data in documents and graphs and exposes unified querying across models. Typical uses include retrieving active users, aggregating related records, and traversing social or network graphs within a single query.