What does "bulk loading of a table" mean? Can you describe
advantages or disadvantages of using these features?
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Loading bulk data into tables is one of the most common
tasks in data warehouse applications. As the data volume
increases, so does the complexity of the loading process.
While loading bulk data, you should not only consider how
much time it takes to load the data, but also consider the
concurrency and data availability requirements, and the
maintenance operations, such as creating or rebuilding
indexes. Bulk data loading can take a significant amount of
time. Therefore, you should consider the options that enable
fast loading of data. However, loading fast is not enough.
Loading bulk data can, at times, cause escalation of locks
and impact other concurrent transactions on the table. For
applications requiring concurrent data access during load,
you should consider options that provide the desired
concurrency. Availability of existing data while the new
data is being loaded is also an important consideration to
help you choose the right option. Creating and rebuilding
indexes is an essential part of the data loading process,
but can be time-consuming for large tables. However, there
are ways to create indexes on the freshly loaded data
without impacting the data in the rest of the table.SQL
Server 2005 provides partitioned tables, and while loading
data into a partitioned table, you can have several options.
Each option provides its own distinct advantages, but the
option you choose depends upon the requirements of your
application, such as performance, concurrency, temporary
storage, and so on
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