![]() ![]() db3_file from a MS-File-Explorer-Window into an Anatella-Graph-Window: This will directly create the corresponding SQLReader Action inside the Anatella graph. Since SQLite supports an unlimited number of simultaneous readers, it’s particularly well-suited for such use-cases.Īccording to the developpers, the three main advantages of SQLite over other solutions are: “ SQLite is Small, Fast & Reliable ”. Tableau, Quickview, Mondrian, Business Objectics, etc.) Create reports and plot charts (using OLAP reporting tools such as. ![]() Such datawarehouses are infrequently changed (and only in “batch”: thus there usually exists only one writer : Anatella) but, on the other hand, these datawarehouses are typically accessed daily by hundreds of users (there are thus many readers ) to: This makes SQLite databases particularly well suited for enterprise datawarehouse that are populated using batch processing with Anatella. But there are some applications that require more concurrency, and those applications may need to seek a different solution. This is usually not a problem because each application write its “changes” into the database quickly and then moves on, and no lock lasts for more than a few dozen milliseconds. ![]() SQLite supports an unlimited number of simultaneous readers, but it will only allow one writer at any instant in time. The major limitation of SQLite is the relatively smaller number of simultaneous users able to write inside a SQLite database. SQlite is a “ small ” engine (with a limited set of features) that is easy to administrate. ![]() Use SQLite in situations where simplicity of administration, implementation, and maintenance are more important than the countless complex features that enterprise database engines provide. It is not designed to compete with Oracle, Teradata or PostgreSQL. SQLite databases are limited in size to 140 terabytes.Īn SQLite database is not intended to be an enterprise database engine. Columnar files are also able to filter rows very efficiently: See the example named “Read the rows for which ‘Acquisition Date>=2011’” inside section 5.26.3. One last alternative is to use a columnar “. Of course, if the rowFilter Action outputs anyway 95% of the rows of the input table, this substitution makes no sense (because, in such a case, a “full table scan” approach is more efficient than an INDEX-based approach). With the SQLite engine, you can create INDEXES on tables and use these INDEXES (inside a SQL statement) as a substitute to the rowFilter Action. If you need to output a very small number of rows, it might be faster to create an INDEX on the table to “filter” and use this INDEX to find the desired rows to output (This avoids reading the whole table because you only need to read the INDEX data and the selected rows). gel_anatella file do not contain any INDEXING structure of any kind). Inside Anatella, the rowFilter Action always performs a “full table scan”: It reads all the rows of the input table and outputs only the desired rows (This is because the. There exists however one data-transformation-operation where the SQLite engine *might* be faster than the standard Anatella engine: It’s the rowFilter Action. If you need to perfom large data transformations, you should always use the Anatella Engine rather than the SQLite Engine. The SQLite engine has been included inside Anatella mainly for the purpose of “easy data exchange” between applications (and not to perform heavy-duty data transformations using SQL). If you need to perform large and complex data transformations, avoid using the SQLite engine because it’s a lot slower (and less scalable) than the standard Anatella data transformations (i.e. These features make SQLite a popular choice as a convenient file format to exchange data between different applications.Īlthough the SQLite engine is one of the fastest database engine available, you should NOT use it to perform “heavy” data transformations on Big Data. This make SQLite databases particularly resilient and reliable. Inside SQLite, All transactions are ACID (Atomicity, Consistency, Isolation, Durability) even if interrupted by system crashes or power failures. The database file format is 100% cross-platform. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file. The SQLite engine reads and writes directly to ordinary disk files. The SQLite engine runs directly inside the Anatella process. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite is an embedded SQL database engine. SQLite is the most widely deployed SQL database engine in the world. SQLite files are self-contained, serverless, zero-configuration, transactional SQL databases. Launch the execution of SQLite SQL statement(s) based on (several) SQLite database(s). ![]()
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