![]() cache hit rate, especially if there is a large number of possible values. Increase the number of values for each sequence held in the sequence cache. This might result in caching of private, per-user (user identifiable) content. Sequence numbers can be accessed more quickly in the sequence cache than they can be read from disk.įollow these guidelines for fast access to all sequence numbers: Be sure the sequence cache can hold all the sequences used concurrently by your applications. Cache assets for different amounts of time on Cloudflare and in visitor browsers Cache an asset and serve while asset is being revalidated Interaction with other Cloudflare features Edge Cache TTL Edge Cache TTL Page Rules override s-maxage and disable revalidation directives if present. Sequence numbers can be kept in the sequence cache in the System Global Area (SGA). Typically, parallel queries occur in low-concurrency data warehouses because of the potential resource usage. When the last of the sequence numbers in the cache has been used, the database reads another set of numbers into the cache. In some cases, as when the database has a large amount of memory, the database can cache parallel query data in the system global area (SGA) instead of using direct path reads into the program global area (PGA). The CACHE clause preallocates a set of sequence numbers and keeps them in memory so that sequence numbers can be accessed faster. Moreover, the insert with 400K cache size is still 100% worse than the insert with no sequence/pk. I'm tempted to set the cache size = (10 threads * 40K records) = 400,000, but I would be worried about any trade offs that I haven't read about in the docs. SQL Server and Oracle support the concept of Large Pages when allocating memory. Given my constraints of 10 threads processing 40K records each on average, how can I calculate the optimal cache size of a sequence? Sparse directories, implemented as a cache-like structure with a relatively low associativity degree, are the preferred design choice for a mid to high number. Large Page: Normal page size for Windows memory is 4kb on 圆4 systems. (Incidentally, the average originally was 8, then dropped down to 5.6 over time)
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