How do you make a SQL query more efficient?

12 Tips to Write Efficient SQL Queries

1. Create Small Batches of Data for Deletion and Updation.
2. Use CASE instead of UPDATE.
3. Use Temp Tables.
4. Avoid Using Another Developer’s Code.
5. Avoid Negative Searches.
6. Use The Exact Number of Columns.
7. No Need to Count Everything in the Table.
8. Avoid Using Globally Unique Identifiers.

How can I improve my BCP performance?

To improve the performance of bcp :

1. Use partitioned tables. Several bcp sessions with a partitioned table can reduce dramatically the time required to copy the data.
2. Use bcp in parallel to increase performance dramatically. Parallel bulk copy can provide balanced data distribution across partitions.

Which is an example of a big data query?

To illustrate this, we used a publicly available healthcare dataset from healthdata.gov. as a big data query example.

How many rows can you aggregate with directquery?

For example, you can aggregate 10 million rows with your query that runs on the data source, and accurately return the results of that aggregation to Power BI using DirectQuery as long as the data returned to Power BI is less than 1 million rows. If more than 1 million rows would be returned from DirectQuery, Power BI returns an error.

Is it possible to display 1 million records in datapaging?

Paging is a must to implement of course. Showing 1 million records is a worst case scenario (the stupid All filter in use-cases!). Should I use connected architecture (SqlDataReader) or disconnected architecture (DataSets)? First of all, think about it like this: displaying 1 million records makes absolutely no sense to any user.

How is the data loaded into the SQL DB?

The data is loaded into the SQL db from blob storage. Each blob is a CSV containing roughly 1 million lines. These are then loaded into SQL where they are given the correct column data types. *note the FilePath is differnt each time*