Category: SPL overview and comparison
Python vs. SPL 2 – Set
A sequence consists of objects (or events) that are arranged in line, in this way, each element is either in front of or behind another element. Therefore, the order of the elements is quite important.
Python vs. SPL 1 – Download and Installation
Python and esProc SPL are both very good programming languages for analyzing and processing data, and some people may be familiar with only one of them. In order to facilitate you to further understand these two languages and choose a more suitable programming language for yourselves, here we provide a series of articles comparing the advantages and disadvantages of these two languages in various aspects.
Looking for suitable tools for querying and calculating large files
In data analysis, it is inevitable to encounter large data files that cannot be loaded in memory. How to query and calculate large files? This paper analyzes and compares the advantages and disadvantages of several common methods, esProc SPL is the most suitable script for data analysts to process large files.Go to Looking for suitable tools for querying and calculating large files for more infomation.
Drawbacks of Using Stored Procedures to Compute Data
SQL focuses on structured data computations, yet it lacks procedural control syntax for handling procedure-oriented computations. The SQL-based Stored procedure (SP) is created to make up for this absence by supporting the much-needed syntax. SP also features a series of merits, including code encapsulation, injection prevention and dynamic syntax. In practical use, however, its demerits are unignorable.
Cross-database Computing Methods
If data to be processed is divided to be stored in multiple databases, of different types sometimes, the mixed cross-database computing is needed. This essay compares four methods, DBLink, esProc SPL, Scala and Calcit, for performing cross-database computing in terms of cross-base coding design, deployment and configuration, and computing performance.
The technologies for SQL migration
The function syntaxes of various types of databases are more or less different from each other. In order to make the SQL query statements of the same functionality be executed successfully in different types of databases, we need to translate these differentiated function syntaxes that are available in each database, and that is SQL migration. This article will explore several technologies for SQL migration and compare them in detail.
Is ORM a Convenient Option for Data Migration between Databases?
Programmers have been trying to use the ORM technique to convert SQL statements between different types of databases. The issue is that the technique is only suitable for translating simple SQL statements in OLTP scenarios. Complicated SQL statements in OLAP cases are still hard to migrate. esProc SPL, however, (Structured Process Language) supports a wealth of functions to be able to describe various algorithms and thus handle a rich variety of computing scenarios.
Methods of dumping data among databases
Dumping data among databases first needs to export the data of the original database to a certain file and then import the file to the target database. There are also some more complicated situations which need to process the exported data firstly and import them to the target database afterward. This article will explore several types of file used for data dumping and compare them in detail.
Comparison of SQL & SPL: Recursion Operation
An recursion operation is defined as the process of directly or indirectly calling a procedure repeatedly. The Tower of Hanoi puzzle is one typical example of this. This essay introduces the methods and basic principles of SQL and SPL, the two common programming languages, in handling recursion scenarios, and finds the efficient and fast solutions for you through sample programs.
Comparison of SQL & SPL: Dynamic Transposition
Data transposition aims to convert queried data into a specified format to display using front-end applications, such as reporting tools. There are row-to-column transposition, column-to-row transposition, and more complicated dynamic transposition. This essay focuses on solutions and basic principles of SQL and SPL, the two commonly used programming languages, in handling transposition scenarios, and tries to find the convenient and efficient way for you through sample programs in SQL and SPL.