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  • OCP-1Z0-052-V8.02-93题

    93. You are using flat files as the data source for one of your data warehousing applications. To optimize

    the application performance, you plan to move the data from the flat files to clustered tables in an Oracle

    database. 

    While migrating the data, you want to have minimal impact on the database performance and optimize the

    data load operation. Which method would you use to load data into the Oracle database?

    A.Use the external table population. 

    B.Use the Oracle Data Pump export and import utility.

    C.Use the conventional path data load of the SQL*Loader utility.

    D.Use the INSERT INTO...SELECT command to load the data.

    Answer: C  

    答案解析:

    参考:http://docs.oracle.com/cd/E11882_01/server.112/e22490/ldr_modes.htm#SUTIL009


    Conventional Path Load

    Conventional path load (the default) uses the SQL INSERT statement and a bind array buffer to load data into database tables. This method is used by all Oracle tools and applications.

    When SQL*Loader performs a conventional path load, it competes equally with all other processes for buffer resources. This can slow the load significantly. Extra overhead is added as SQL statements are generated, passed to Oracle, and executed.

    The Oracle database looks for partially filled blocks and attempts to fill them on each insert. Although appropriate during normal use, this can slow bulk loads dramatically.


    When to Use a Conventional Path Load

    If load speed is most important to you, then you should use direct path load because it is faster than conventional path load. However, certain restrictions on direct path loads may require you to use a conventional path load. You should use a conventional path load in the following situations:

    • When accessing an indexed table concurrently with the load, or when applying inserts or updates to a nonindexed table concurrently with the load

      To use a direct path load (except for parallel loads), SQL*Loader must have exclusive write access to the table and exclusive read/write access to any indexes.

    • When loading data into a clustered table

      A direct path load does not support loading of clustered tables.

    • When loading a relatively small number of rows into a large indexed table

      During a direct path load, the existing index is copied when it is merged with the new index keys. If the existing index is very large and the number of new keys is very small, then the index copy time can offset the time saved by a direct path load.

    • When loading a relatively small number of rows into a large table with referential and column-check integrity constraints

      Because these constraints cannot be applied to rows loaded on the direct path, they are disabled for the duration of the load. Then they are applied to the whole table when the load completes. The costs could outweigh the savings for a very large table and a small number of new rows.

    • When loading records and you want to ensure that a record is rejected under any of the following circumstances:

      • If the record, upon insertion, causes an Oracle error

      • If the record is formatted incorrectly, so that SQL*Loader cannot find field boundaries

      • If the record violates a constraint or tries to make a unique index non-unique

    Direct Path Load

    Instead of filling a bind array buffer and passing it to the Oracle database with a SQL INSERT statement, a direct path load uses the direct path API to pass the data to be loaded to the load engine in the server. The load engine builds a column array structure from the data passed to it.

    The direct path load engine uses the column array structure to format Oracle data blocks and build index keys. The newly formatted database blocks are written directly to the database (multiple blocks per I/O request using asynchronous writes if the host platform supports asynchronous I/O).

    Internally, multiple buffers are used for the formatted blocks. While one buffer is being filled, one or more buffers are being written if asynchronous I/O is available on the host platform. Overlapping computation with I/O increases load performance.

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  • 原文地址:https://www.cnblogs.com/hzcya1995/p/13316336.html
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