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two terms to mean two different things. I will use LOB only when I want to refer to the data using the special storage format shown in Figure 7-1. I will use the term large object when referring to any of the methods for storing data that might be too large for a regular data page. This includes row-over ow columns, the actual LOB data types, the MAX data types, and lestream data.
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Appending Data into a LOB Column
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In the storage engine, each LOB column is broken into fragments of a maximum size of 8,040 bytes each. When you append data to a large object, SQL Server nds the append point and looks at the current fragment where the new data will be added. It calculates the size of the new fragment (including the newly appended data). If the size is more than 8,040 bytes, SQL Server allocates new large object pages until a fragment is left that is less than 8,040 bytes, and then it nds a page that has enough space for the remaining bytes. When SQL Server allocates pages for LOB data, it has two allocation strategies: 1. For data that is less than 64 KB in size, it randomly allocates a page. This page comes from an extent that is part of the large object IAM, but the pages are not guaranteed to be continuous. 2. For data that is more than 64 KB in size, it uses an append-only page allocator that allocates one extent at a time and writes the pages continuously in the extent. So from a performance standpoint, it is bene cial to write fragments of 64 KB at a time. It might be bene cial to allocate 1 MB in advance if you know that the size will be 1 MB. However, you need to take into account the space required for the transaction log as well. If you a create a 1-MB fragment rst with any random contents, SQL Server logs the 1 MB, and then all the changes are logged as well. When you perform large object data updates, no new pages need to be allocated, but the changes still need to be logged. So long as the large object values are small, they can be in the data page. In this case, some preallocation might be a good idea so that the large object data doesn t become too fragmented. A general recommendation might be that if the amount of data to be inserted into a large object column in a single operation is relatively small, that you insert a large object value of the nal expected value, and then replace substrings of that initial value as needed. For larger sizes, try to append or insert in chunks of 8 * 8,040 bytes. This allocates a whole extent each time, and 8,040 bytes are stored on each page.
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If you do nd that your large object data is becoming fragmented, there is an option to ALTER INDEX REORGANIZE to defragment your large object data. In fact, this option (WITH LOB_ COMPACTION) is on by default, so you just need to make sure that you don t set it to OFF .
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Although the exible methods that SQL Server uses to store large object data in the database give you many advantages over data stored in the le system, they also have many disadvantages. Some of the bene ts of storing large objects in your database include the following:
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Transactional consistency of your large object data can be guaranteed. Your backup and restore operations include the large object data, allowing you integrated, point-in-time recovery of your large objects. All data can be stored using a single storage and query environment.
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Some of the disadvantages of storing large objects in your database include the following:
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Large objects can take a very large number of buffers in cache. Updating large objects can cause extensive database fragmentation. Database les can become extremely large.
SQL Server 2008 allows you to manage le system objects as if they were part of your database to provide the bene ts of having large objects in the database while minimizing the disadvantages. The data stored in the le system is referred to as lestream data. As you start evaluating whether lestream data is bene cial for your applications, you must consider both the bene ts and the drawbacks. Some of the bene ts of lestream data include the following:
The large object data is stored in the le system but rooted in the database as a 48-byte le pointer value in the column containing the lestream data. The large object data is kept transactionally consistent with structured data. The large object data is accessible through both Transact-SQL (T-SQL) and the NTFS streaming APIs, which can provide great performance bene ts. The large object size is limited only by the NTFS volume size, not the old 2-GB limit for LOB data.
Some of the drawbacks of using lestream data include the following:
Database mirroring cannot be used on databases containing lestream data. Database snapshots cannot include the lestream legroups, so the lestream data is unavailable. A SELECT statement in a database snapshot that requests a lestream column generates an error. Filestream data can't be encrypted natively by SQL Server.
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