Structured Text Computing--SPL Practice Series
The above is the content of structured text calculation in SPL, which provides a simple and powerful calculation solution for data outside of databases.
The examples involved here are all small data that can be read into memory. For files larger than memory, SPL also provides a cursor solution for calculation. Interested friends can refer to SPL's official documentation.
Of course, SPL's capabilities go far beyond that. SPL also supports various text formats such as JSON and XML, cross database queries, and supports mixed computing between databases and other non databases, supports for big data or complex computing, and SPL's computing power can also be used to optimize SQL performance. We will gradually introduce these contents in later topics.
SPL is an open source software that can be obtained from GitHub.
https://github.com/SPLWare/esProc
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