Estimated lesson time: 15 minutes in VS .NET

Drawing PDF 417 in VS .NET Estimated lesson time: 15 minutes

Estimated lesson time: 15 minutes
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The source of the data is important because it is a major determining factor in the speed and complexity of the import. For example, if the source is a flat file on a network share, other factors outside of the import server s control can influence performance. These factors include network performance and file server performance. Regardless of how fast the import mechanisms and data destination, the import will run only as fast as the source data can be read. Therefore, it is important to consider the performance of the data source as a factor in determining overall import performance. As with any operation on a computer, the process is only as fast as the slowest component involved.
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The import mechanism (bcp, BULK INSERT, OPENROWSET, or SSIS) you choose is important in many ways, most of which we will explore later in this chapter. However, keep in mind that although there is substantial overlap in the functionality of the different import mechanisms, they each have their place for certain types of imports.
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The destination of the data is probably the single most important factor in determining not only the performance of your import, but also its overall impact on the server. Included in the definition of data destination are the database server, the database, and the data structure. The database server in general is important because its overall
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design and usage plays a major role in determining the method and performance of the data load. However, a discussion of server design is outside of the scope of this book. The next factor is the database itself. You need to ask many questions about your database to determine which data-load mechanism works best. What level of uptime is needed Is there a maintenance window during which you can load the data What recovery model is being used Many other database factors can affect your decision. The last data destination item that affects the data import is the data structure, or table design, itself. Does the table have clustered and/or nonclustered indexes Does the table have active constraints or triggers Does the table already have several million rows, or is it empty Is the table a source for replication
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A Best-Case Scenario
The best-case scenario is bulk-loading data into an empty heap (a table with no indexes) that is not involved in replication, with no constraints or triggers, with the database placed into the Bulk-Logged recovery model, and during a maintenance window. Here is what makes this a best-case scenario. First, the database is using the Bulk-Logged recovery model. This model differs from the Full recovery model in many ways, one of which is that bulk-load operations are minimally logged so the transaction log will not be filled by the bulk-load operation. There are several caveats surrounding minimal logging. For example, if the table that is being bulk-loaded already has data and has a clustered index, the bulk load will be fully logged, even if the database is using the Bulk-Logged recovery model. (See the sidebar titled Ensuring Minimal Logging for more information.)
Ensuring Minimal Logging
You use the Bulk-Logged recovery model to minimize bloating the transaction log during bulk loads. However, it is important to remember that simply setting the recovery model to Bulk-Logged is not enough. Other conditions must be met for minimal logging to occur. The following conditions are necessary for minimal logging:
Database recovery model is set to Bulk-Logged. Table is not replicated. TABLOCK hint is used. Destination table meets population and indexing requirements (as shown in Table 10-1).
Lesson 1: Preparing to Work with Flat Files
Table 10-1 shows the level of logging (Minimal, Index, or Full) that will occur under different circumstances.
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