LOAD BULK DATA INTO SEQUEL PRO HOW TO
LOAD BULK DATA INTO SEQUEL PRO UPDATE

We avoid multiple round-trips to the database server. This methodology of bulk uploading data has a good number of positive effects on performance (data to be provided in a separate article).

Finally we run the SQL Statement by converting the collections of data into the ICustomQueryParameter methods we created previously.

We utilize basic INSERT statements on the category and attribute table where we join on the table providing the appropriate identifiers.

Next we setup our SQL statement with the MERGE statement.

We utilize our correlation classes to convert our ProductInstance collection using Linq.I wrote previously about the ISqlExecutor. The following are the UDTT we will be using. We should take this into account in our design. So how can we correlate the data in the 3 collections? We’re going to have to index our data.

We should keep in mind that these are new instances of products that we’re uploading, meaning we do not yet have identifiers. In our current scenario, we’re going to need 3 table types, one for each collection: Products, Custom Attributes, and Categories. UDTT are custom types in SQL Server that will allow us to take a DataTable and upload to a specific table structure for T-SQL processing. We can accomplish this using User-defined Table Types. In order to accomplish the goal, we need to first have a way to upload this data in one call to SQL Server. Goal: To reiterate, we want to bulk upload multiple products, which in turn can have multiple categories and multiple attributes. Since products can contain so many types of information, we utilize this dynamic structure to allow for specific parameters depending on the application. This model was created to be generic on purpose, providing a flexible approach to storing products and their details. The C# data model also supports this with the core ProductInstance, Categor圜ollection, and CustomAttributes classes. 2 of these tables have foreign key references back to the primary Products table.

LOAD BULK DATA INTO SEQUEL PRO HOW TO

Not sure how to further optimize your SQL insert queries, or your entire database? use EverSQL and start optimizing for free.Again, we’ve ignored some tables referenced here on purpose, as they won’t be relevant to the remainder of the code.Īs you can see, we have 3 primary tables. This statement is optimized by MySQL for best data loading performance. LOAD DATA INFILE - If you're loading data from CSV/TSV, you should try to load it using LOAD DATA INFILE, rather than using INSERT statements.Therefore, ideally, you should transmit the file to the database server once, and load it from the local filesystem. Also, opening and closing connections on each insert (or group of inserts) can sum up to a large amount of time for large SQL dumps. Therefore, the network can be a significant bottleneck. Load data from a nearby location - if you're loading gigabytes or terabytes of data to a remote server, keep in mind that regardless of how long it takes to actually insert records to the database, your SQL client needs to transmit that data to that server.In practice, instead of executing an INSERT for one record at a time, you can insert groups of records, for example 1000 records in each INSERT statement, using this structure of query: INSERT INTO table_name (column_list) VALUES (value1, value2) (value1, value2). Ideally, you make a single connection, send the data for many new rows at once, and delay all index updates and consistency checking until the very end. Inserting data in bulks - To optimize insert speed, combine many small operations into a single large operation. It's much faster to insert all records without indexing them, and then create the indexes once for the entire table.

LOAD BULK DATA INTO SEQUEL PRO UPDATE

When you're inserting records, the database needs to update the indexes on every insert, which is costly in terms of performance. Therefore, if you're loading data to a new table, it's best to load it to a table without any indexes, and only then create the indexes, once the data was loaded. Remove existing indexes - Inserting data to a MySQL table will slow down once you add more and more indexes.

Load bulk data into sequel pro