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“How-to” Business Central supports partitioning This can reduce lock contention on the table.
You can improve performance by enabling lock escalation at the partition level instead of a whole table.
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For example, you could archive data for old transactions on slow and inexpensive disks and keep current data on solid-state drives (SSD).
You can use partitioning to distribute parts of tables to different IO sub systems. In this way, although SQL Server still sorts data by partition, it can access all the drives of each partition at the same time. To improve data sorting performance, stripe the data files of your partitions across more than one disk by setting up a RAID (redundant array of independent disks). SQL Server accesses one drive at a time, and this might reduce performance. When SQL Server performs data sorting for I/O operations, it sorts the data first by partition. You might be able to improve query performance, based on the types of queries you frequently run and on your hardware configuration. For example, you can choose to rebuild one or more partitions of an index. The operations are more efficient because they target only these data subsets, instead of the whole table. You can perform maintenance operations on one or more partitions more quickly. Partitioning large tables or indexes can have the following manageability and performance benefits: Prior to SQL Server 2016 SP1, partitioned tables and indexes were not available in every edition of SQL Server. The table or index is treated as a single logical entity when queries or updates are performed on the data. All partitions of a single index or table must reside in the same database. The data of partitioned tables and indexes is divided into units that can be spread across more than one filegroup in a SQL Server database. 
#2 – Using SQL Server table partitioningĪs of Microsoft Dynamics NAV 2018, the use of SQL Server table and index partitioning is a supported configuration. If a table is not locked, then the global cache is queried for data otherwise, the private cache is queried. The cache that is used is determined by the lock state of a table. Data in a private cache for a given table and company is flushed when a transaction ends.
Private cache is per user, per company, in a transactional scope. Global cache is for all users connected to a Business Central Server instance. There are two types of caches, global and private: In earlier versions of Business Central, the data cache was isolated for each user. This means that after one user has read a record, a second user who reads the same record gets it from the cache. In Business Central, the data cache is shared by all users who are connected to the same Business Central Server instance. #1 – Business Central Server data caching 
Optimizing SQL Server Performance with Business Central
Cortana appicon cahce slow disk how to#
Lately interesting articles have been published on how to optimize business central with sql server, how to better use the data cache, how to use partition tables, how to use compression, how to monitor performance, since they are interesting to report. SQL Server Performance with Business Central
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