Discussions Spl

Many scenarios need to use programming language to analyze and process the desktop data such as Excel and csv. In these scenarios, simple tasks include querying multiple files of same format through parameter, batch splitting or merging files, processing larger files, etc.; complex tasks include... Lire la suite

In terms of structured data calculation outside the database, Stream has taken a step from scratch; Kotlin has slightly enhanced this capability, but the nature of the compiled language makes it impossible to go further; To really solve the problem of structured data computing outside the... Lire la suite

Many big data calculations are implemented in SQL. When running slowly, we have to optimize SQL, but we often encounter situations that we can do nothing about it. SPL maybe a better choice, refter to Lire la suite

After we retrieve data from the data source as a table sequence in SPL, we can perform all SQL-style operations, such as filtering, aggregation, inter-column calculations, sorting, grouping & aggregation, top-N, post-grouping top-N, distinct, post-grouping distinct, and join to name a few.... Lire la suite