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  2. MySQL Connector/ODBC - Wikipedia

    en.wikipedia.org/wiki/MySQL_Connector/ODBC

    MySQL Connector/ODBC, once known as MyODBC, is computer software from Oracle Corporation. It is an ODBC interface and allows programming languages that support the ODBC interface to communicate with a MySQL database.

  3. Open Database Connectivity - Wikipedia

    en.wikipedia.org/wiki/Open_Database_Connectivity

    Unlike the later ODBC, Blueprint was a purely code-based system, lacking anything approximating a command language like SQL. Instead, programmers used data structures to store the query information, constructing a query by linking many of these structures together. Lotus referred to these compound structures as query trees. [2]

  4. Embedded SQL - Wikipedia

    en.wikipedia.org/wiki/Embedded_SQL

    The embedded SQL statements are parsed by an embedded SQL preprocessor and replaced by host-language calls to a code library. The output from the preprocessor is then compiled by the host compiler. This allows programmers to embed SQL statements in programs written in any number of languages such as C/C++, COBOL and Fortran.

  5. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    Java, C#, C++, Node.js, Python, Go Open Source (Apache License 2.0) Hazelcast is an in-memory computing platform that runs applications with extremely high throughput and low latency requirements. It offers speed, scale, simplicity, resiliency, and security in a distributed architecture.

  6. Database connection - Wikipedia

    en.wikipedia.org/wiki/Database_connection

    An application failure occurs when the connection pool overflows. This can occur if all of the connections in the pool are in use when an application requests a connection. For example, the application may use a connection for too long when too many clients attempt to access the web site or one or more operations are blocked or simply inefficient.

  7. MapReduce - Wikipedia

    en.wikipedia.org/wiki/MapReduce

    MapReduce is a programming model and an associated implementation for processing and generating big data sets with a parallel and distributed algorithm on a cluster. [1] [2] [3]A MapReduce program is composed of a map procedure, which performs filtering and sorting (such as sorting students by first name into queues, one queue for each name), and a reduce method, which performs a summary ...

  8. Python syntax and semantics - Wikipedia

    en.wikipedia.org/wiki/Python_syntax_and_semantics

    Introduced in Python 2.2 as an optional feature and finalized in version 2.3, generators are Python's mechanism for lazy evaluation of a function that would otherwise return a space-prohibitive or computationally intensive list. This is an example to lazily generate the prime numbers:

  9. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    Note (2): Materialized views are not supported in Informix; the term is used in IBM's documentation to refer to a temporary table created to run the view's query when it is too complex, but one cannot for example define the way it is refreshed or build an index on it. The term is defined in the Informix Performance Guide.