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  2. Partition (database) - Wikipedia

    en.wikipedia.org/wiki/Partition_(database)

    Using compound keys—such as prefixing timestamps with sensor identifiers—can distribute this load. [1] An example could be a partition for all rows where the "zipcode" column has a value between 70000 and 79999. List partitioning: a partition is assigned a list of values. If the partitioning key has one of these values, the partition is chosen.

  3. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

  4. Multiway number partitioning - Wikipedia

    en.wikipedia.org/wiki/Multiway_number_partitioning

    The partition problem - a special case of multiway number partitioning in which the number of subsets is 2. The 3-partition problem - a different and harder problem, in which the number of subsets is not considered a fixed parameter, but is determined by the input (the number of sets is the number of integers divided by 3).

  5. Largest differencing method - Wikipedia

    en.wikipedia.org/wiki/Largest_differencing_method

    In computer science, the largest differencing method is an algorithm for solving the partition problem and the multiway number partitioning. It is also called the Karmarkar–Karp algorithm after its inventors, Narendra Karmarkar and Richard M. Karp. [1] It is often abbreviated as LDM. [2] [3]

  6. Balanced number partitioning - Wikipedia

    en.wikipedia.org/wiki/Balanced_number_partitioning

    The output is a partition of the items into m subsets, such that the number of items in each subset is at most k. Subject to this, it is required that the sums of sizes in the m subsets are as similar as possible. An example application is identical-machines scheduling where each machine has a job-queue that can hold at most k jobs. [1]

  7. Trino (SQL query engine) - Wikipedia

    en.wikipedia.org/wiki/Trino_(SQL_query_engine)

    Trino is an open-source distributed SQL query engine designed to query large data sets distributed over one or more heterogeneous data sources. [1] Trino can query data lakes that contain a variety of file formats such as simple row-oriented CSV and JSON data files to more performant open column-oriented data file formats like ORC or Parquet [2] [3] residing on different storage systems like ...

  8. Why Apple stock just got a rare downgrade to 'sell' - AOL

    www.aol.com/why-apple-stock-just-got-191254049.html

    Shares of Apple traded down about 1% to $242.43 in Tuesday's session. Craig Moffett, a senior analyst at MoffettNathanson, said while Apple is still a "truly great company," it has seen an ...

  9. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    [1] [2] The choice of data orientation is a trade-off and an architectural decision in databases , query engines, and numerical simulations. [ 1 ] As a result of these tradeoffs, row-oriented formats are more commonly used in Online transaction processing (OLTP) and column-oriented formats are more commonly used in Online analytical processing ...