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Google doc merge duplicates3/27/2023 ![]() ![]() Merged results do not perform an actual SQL join. This means that if the primary query and an added query use different names for a matching dimension, only the primary query's dimension name will be displayed in the results. You can set an added query as the primary query by switching the primary query.īelow is an example of a set of queries and their merged results:Īll of the primary query's fields are displayed in the merged results, using the primary query's names for the fields. So, whenever you add a query, you need to include a dimension that can be matched to a dimension in the primary query. This is an important concept because when Looker matches the data to create the merged results, it matches each added query to the primary query (not to any other added query). If you include queries that return more than 5,000 rows of data, only the first 5,000 rows returned are included in the merged results.īy default, that first query is considered the primary query. The Merged Results feature has a limit of 5,000 rows of data for each of the merged queries. When you merge queries, you start out by creating a single query from a single Explore, and then you combine other queries with that first query. You can use Merged Results as a proof of concept to further develop and define your LookML projects and models. In these cases, Merged Results lets you combine results from different Explores (even from different models or projects) to create data tables on which to Explore and create visualizations. However, there may be times when your Looker developers haven't created the relationships you need or have encountered technical limitations. Because of this, it is best to use a single Explore to examine your data. View the Optimize Looker performance Best Practices page for more information about optimizing Looker performance.Įxplores in Looker are designed by your Looker developers to combine the data from your database tables in the most effective way by using defined relationships between data fields and tables. Best practice is to define functions and logic in LookML instead, which generates SQL that is processed by your database. Merged Results is a post-query processing feature that, if not used thoughtfully, can overtax Looker instance resources and cause your Looker instance to respond more slowly for all users. Save money with our transparent approach to pricing Rapid Assessment & Migration Program (RAMP) Before this release you only could solve this with a map/reduce solution.Īfter MongoDB 3.3.6 release: Aggregation framework solution db.duplicatedCollection.Migrate from PaaS: Cloud Foundry, OpenshiftĬOVID-19 Solutions for the Healthcare Industry In MongoDB 3.3.6 release is introduced a $split operator for dealing with strings in aggregation framework ( Jira). Merge PresentInDB and Checked fields - > merge PresentInDB and Checked fields by adding array values from the newest document (by date in AddedDate.And also if Place field match in both documents: ![]() 84358 above) and if there are several documents inĬollection that have that sequence in the Link field. Match the number sequence in each document in the Link field (i.e.Loop over each document in the collection.Link field contains same sequense of numbers in both documents, 84358. I have a collection where there are some duplicate documents.
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