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It also supports >REPLACE INTO syntax, [6] which first attempts an insert, and if that fails, deletes the row, if exists, and then inserts the new one. There is also an IGNORE clause for the INSERT statement, [ 7 ] which tells the server to ignore "duplicate key" errors and go on (existing rows will not be inserted or updated, but all new rows ...
Database designers give tables whose changes must be captured a column that contains a version number. Names such as VERSION_NUMBER, etc. are common. One technique is to mark each changed row with a version number. A current version is maintained for the table, or possibly a group of tables.
For example, removing duplicates using distinct may be slow in the database; thus, it makes sense to do it outside. On the other side, if using distinct significantly (x100) decreases the number of rows to be extracted, then it makes sense to remove duplications as early as possible in the database before unloading data.
Target deduplication is the process of removing duplicates when the data was not generated at that location. Example of this would be a server connected to a SAN/NAS, The SAN/NAS would be a target for the server (target deduplication). The server is not aware of any deduplication, the server is also the point of data generation.
In December 2019, the Institute on Taxation and Economic Policy found that Salesforce was one of 91 companies who "paid an effective federal tax rate of 0% or less" in 2018, as a result of the Tax Cuts and Jobs Act of 2017. Their findings were published in a report based on the 379 Fortune 500 companies that declared a profit in 2018. [131]
Either way, it is possible to define them all in one go (possibly as a list-defined reference) and invoke them several times (possibly with different |page= parameters, or to define the citations individually and combine them through the annotation system of template {}. The following examples illustrate the latter form:
The replication process can be complex and time-consuming, depending on the size and number of the distributed databases. This process can also require much time and computer resources. Duplication, on the other hand, has less complexity. It identifies one database as a master and then duplicates that database. The duplication process is ...
A transactional table is the most basic and fundamental. The grain associated with a transactional fact table is usually specified as "one row per line in a transaction", e.g., every line on a receipt. Typically a transactional fact table holds data of the most detailed level, causing it to have a great number of dimensions associated with it.