Used in WHERE when querying SQL Graph, it describes how to walk from node to node through edge tables, with patterns written like p1-(f1)->p2.
Read more: Microsoft Learn
In the Ultra Transcenders books
Each book explains MATCH in context, with comparison tables and the common traps.
Terms in this definition
- WHERE
Limits a SELECT, UPDATE or DELETE to just the rows meeting a condition. Omit it, and the statement hits every row.
- Serverless
Compute tier for single Azure SQL databases that scales automatically, pauses when idle and charges by the second. It is offered in General Purpose and Hyperscale, not Business Critical, and reserved capacity does not apply.
- LIKE
Compares strings with a pattern that can contain the % and _ wildcards. Because it only understands character patterns, searching big volumes of text this way is much slower than using full-text search.
Related terms
- ABAC policy
Governed tags drive this kind of Unity Catalog rule: when a table or column has tags that satisfy its
WHENandMATCH COLUMNSconditions, a row filter or column mask UDF is put on it automatically. Policies are written withCREATE POLICYand can sit on a metastore, catalog, schema or table. - Allow gateway transit
Peering option set on the hub, which owns the gateway, so that peered VNets can share its ExpressRoute or VPN gateway. The spoke sets Use remote gateways to match; on a VNet lacking a gateway the option has no effect.
- Application Gateway Ingress Controller
Add-on for AKS that reads Kubernetes Ingress resources and sets up an Application Gateway, WAF v2 included, to match them.
- Assume referential integrity
A relationship setting in DirectQuery and Direct Lake models that lets the engine send faster INNER JOIN queries to the source rather than OUTER JOINs. Only switch it on when every key on the many side has a match, otherwise unmatched fact rows quietly vanish from results.
- Automatic index management
Lets the database add and remove indexes by itself to match the workload, through the
CREATE_INDEXandDROP_INDEXautomatic tuning options. You'll only find it in SQL database in Fabric and Azure SQL Database. - Autoscaling
A classic compute option where you give a minimum and maximum worker count and Azure Databricks adjusts the number of workers within that range to match the load.
- Azure AI Face
Foundry Tool limited to human faces: it detects them, verifies whether two match (1:1) and identifies a person from a group (1:many). Verification and identification are Limited Access features.
- Azure Information Protection
Service that classifies and protects documents in Office apps, applying a single label to each (if several match, the last one in the policy wins). Its classic client has been retired, with Microsoft Purview sensitivity labels taking over.