Yes, RAPID allows backfill of data into the database. By default any time range can be inserted, but there are settings to limit insertion of both past and future data. […]
FAQ Category: Database
FAQs relating to interactions with a RAPID database
How does RAPID compress data ?
The underlying schema used to store the data has a patented mechanism to compress the timestamp while retaining its accuracy and the accuracy of the data value. If lossy compression is permitted then RAPID also suppports a number of data compression mechanisms at the cost of data accuracy. […]
How many tags can be supported in a single RAPID Database ?
The structure of a RAPID Database consists of 1 to many nodes each containing 1 to many tags. In a normal system we would recommend that each node contains up to 100,000 tags and that there are up to 100 nodes. This means that each DB can have up to 10 million tags. If more […]
Can I group data points into logical structures ?
RAPID supports 2 mechanisms to allow tags to be grouped together. The first is a simple grouping system, where heirarchys of groups can be created, each containing tags and A&E areas. The second is the InfoModel system in RAPIDEnterprise. This allows models of assets to be created, containgn tags, constants, calculations, images etc. These modes […]
Can RAPID collect and store Batch data ?
Yes, RAPID contains 2 batch data management systems. The first is a simple start/stop event system that allows the creation of phase based batch structures. The second is a full S88 implementation consisting of a data collector to capture batch data from common batch execution systems, batch storage schema in the RAPID Database and a […]
What data types are supported in RAPID ?
RAPID supports the full range of variant data types from Boolean through to 64k long strings. Including signed and unsigned integers, doubles, floats, characters, currency, date/time, shorts and longs. […]
Can I create tags in the DB before connecting to the data source ?
Yes, RAPID supports the ability to import tag definitions from CSV files to allow tag names to be created without needing to browse the data source (very useful where the data source does not support browsing). The format consists of a header, containing the names of the fields, followed by multiple rows containing the associated […]
