The Sales2020 partition can then be merged with the Sales2019-2010 partition and renamed to Sales2020-2011. When entering the 2021 fiscal year, a new Sales2021 partition is added to the model's Sales table. Data in the SalesOld partition rarely changes, therefore only processed annually. However, because sales data for the previous ten fiscal years can still change because of product returns and other adjustments, it must still be processed regularly, therefore data in the Sales2019-2010 partition is processed monthly. There's no need to process data in the Sales2019-2010 partition nightly. 2016, 2017, 2018, 2019Īll fiscal years prior to the last ten years.Īs new sales data is added for the current 2020 fiscal year, that data must be processed daily to be reflected accurately in the current fiscal year sales data analysis, therefore the Sales2020 partition is processed every night. The model's Sales table has the following partitions: Partitionįiscal years 2010, 2011, 2012, 2013, 2014, 2015. For example, a tabular model can have a Sales table which includes sales data for the current fiscal year and each of the previous fiscal years. In many cases, such as with fact tables, dividing a table's single partition into multiple partitions can better utilize available resources for processing.Īn effective model design and processing strategy utilizes partitions to eliminate unnecessary processor load and memory consumption, while at the same time making certain that data is refreshed often enough to reflect the most recent data from data sources. Granularityīy default, each table in a model has a single partition. Individual partitions, each containing a unique segment of data, can then be incrementally processed either sequentially or in parallel independent of other partitions, or excluded from processing operations altogether. Partitions work by dividing a table into logical partition objects. There's no need to process all of the data when only a portion of it needs to be processed. For example, a fact table may include certain row sets that contain data that rarely changes, but other row sets have data that changes often. Add -site: to the end of your search.Partitions divide portions of data you need to process (refresh) frequently from data that can be processed less frequently. It's very easy to exclude a specific site. Try an autoclicker and check out additional information: No games using real cryptocurrencies, NFTs, or blockchain Posts about a specific game must include the name of the game in the title, body, or comment Please refer to the expectations and guidelines for using this subreddit
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