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First identify the name of the partition you want to remove records from. select segment_name, segment_type, partition_name from user_segments where partition_name is not null; Use the ALTER TABLE...TRUNCATE PARTITION statement to remove all records from a partition. This example truncates the P_2008 partition of the F_SALES table: alter table f_sales truncate partition p_2008; You should see the following message: Table truncated. In this scenario, that message does not mean the entire table was truncated. It s only confirming that the specified partition was truncated.

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base64 is the form of string web friendly representation of byte array. you may convert it to a byte array like this: byte [] decodedBytes = Convert .

Single-dimensional arrays can represent a list of elements held in memory and can be referenced by an index. char[] nme = new char[4];

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However, if coolness doesn t include one or both of those basic economic principles, I would argue that the technology s future use and adoption will be limited Yes, deprecations decrease coolness However, deprecations don t influence time to market much, nor do they increase the cost of ownership In fact, the opposite is true: the more deprecations, the more you show that you care about your existing user base and the more you help them lower the cost of ownership while showing that you value and preserve the investments they have already made This is not meant to say that you should keep using deprecated APIs inside your own code The deprecation is an important tool to encourage users of the API to migrate to a more modern replacement or to prevent newcomers from using already obsolete elements in the API.

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Truncating a partition is an efficient way to quickly remove large amounts of data. When you truncate a partition, however, there is no rollback mechanism. The truncate operation permanently deletes the data from the partition. If you need the option of rolling back a transaction, use the DELETE statement: delete from f_sales partition(p_2008); The downside to this approach is that if you have millions of records, the DELETE operation could take a long time to run. Also, for a large number of records, DELETE generates a great deal of rollback information. This could cause performance issues for other SQL statements contending for resources.

In memory, the previous array will logically look similar to the following: nme nme[0] nme[1] nme[1] nme[1] M A R K

You have just loaded data into a single partition and need to generate statistics to reflect the newly inserted data.

Still, it s better to use deprecations as a soft hint, then removals as a hard, hit-the-wall, wake-up-and-face-the-reality action..

Use the EXECUTE statement to run the DBMS_STATS package to generate statistics for a particular partition. In this example, the owner is STAR, the table is F_SALES, and the partition being analyzed is P_2009: exec dbms_stats.gather_table_stats(ownname=>'STAR',tabname=>'F_SALES',partname=>'P_2009'); If you re working with a large partition, you ll probably want to specify the percentage sampling size, degree of parallelism, and also generate statistics for any indexes: exec dbms_stats.gather_table_stats(ownname=>'STAR',tabname=>'F_SALES',partname=>'P_2009',estimate_percent=>dbms_stats.auto_sample_size,degree=>dbms_stats.auto_degree,cascade=>true);

I ll walk you through the example: the variable points to an area of memory that is defined as holding an array of four characters, which in C# always start at zero (the same as the C/C++ and Java languages). You can then access each of these elements values using its index.

Another good piece of advice that you can violate from time to time is the myth that a good API must always be correct. A correct API is certainly more useful than one that is broken. An API that is naturally easy to use is also better than one that has many ways to be misused, requiring the API client to search through documentation to find the right way to use it. However, you can create a lot of problems for yourself by sacrificing ease of use for correctness. If I were to be able to write one paragraph of this book instead of being forced to write a utility method to read the contents of a file to String or into a String array representing all lines in the file, this book would have been published years ago. I am sure I am not alone in finding that the way people have to read files from disk in Java is abnormally verbose. On the other hand, I understand why they need to do so in that way: the verbosity mimics the way this has been done in C for years. With the C approach it s guaranteed that any file can be read regardless of its size or internal structure. Simplification would bring an added degree of incorrectness and randomness.

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