What is keys in dbms in hindi?

DuckDB combines SQLite properties such as compactness, the ability to plug in as a built-in library, single-file database storage, and a convenient CLI interface, with tools and optimizations for performing analytical queries covering a significant part of the Stored data, for example, that performs aggregation of all table contents or merges multiple large tables.

In this new version that is presented, it is worth noting that work continued on improving the storage format, in addition to the fact that a disk write mode has been implemented, in which when a large set of data is loaded in a transaction, the Data is compressed and streamed to a file from the database without waiting for the COMMIT command to commit the transaction.

The new version added support for parallel loading of data into separate tables, which can significantly increase loading speed on multicore systems. In the old version, loading a database with 150 million rows on a 10-core processor took 91 seconds, and in the new version, it takes 17 seconds.

There are two ways to load: with or without order preservation.

The fast static symbol table is used for data compression and allows you to pack data into rows using a common type-matching dictionary.

The test database was reduced from 761 MB to 251 MB thanks to the new algorithm.

The Chimp and Patas are proposed to be used to compress numbers.

Chimp has a higher level of compression and faster decompression than the previous gorillas. Chimp is more efficient in terms of compression, but the Patas is more efficient in terms of speed.

The ability to load data fromcsv files in multiple parallel streams was added to the experiment, which reduces load time for largecsv files.

When the option was enabled, the download time for a 720MB file was reduced from 3.5 seconds to 0.6 seconds.