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I have pointed out that dbms_stats needs more buckets than the analyze command to spot the option for a frequency histogram. So what do you do when there are 254 distinct values in your table other than use the analyze command to create the histogram Take a close look at the procedures in dbms_stats called prepare_column_values, get_column_stats, and set_column_stats. The script c_skew_freq_02.sql in the online code suite gives an example of using these procedures to give a column a frequency histogram that could not be generated by a normal call to dbms_stats. The key points are the calls: select skew, count(*) bulk collect into m_val_array, m_statrec.bkvals from t1

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One of the easiest tips is to capitalize letters as you re typing them. To do this, simply press and hold the letter to capitalize it.

: error C3149: 'System::String' : top-level '^' : error C3149: 'cli::array<Type>' : top-level '^'

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group by skew order by skew ; m_statrecepc := m_val_arraycount; Here we collect the values and counts from the column into a pair of varray types, and record the array size ready for a call to prepare_column_values: dbms_statsprepare_column_values( srec => m_statrec, numvals => m_val_array ); The code also reads the column statistics into local variables, modifies the variables, and then writes them back to the data dictionary using get_column_stats and set_column_stats respectively to read and write the values Unfortunately, the call to set_column_stats does not recognize that we are creating a frequency histogram, and so leaves the density unchanged thus we have to use a little extra code to calculate the appropriate value before calling set_column_stats One final thought about frequency histograms and the ease with which you can create them.

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If you want to lock the Caps key to type ALL UPPERCASE, press the Alt key, and then press the right Shift key. Tap the either Shift key to turn off Caps lock. If you want to type only numbers or the symbols shown on the top of the keys, then you need to turn on Num/Alt lock by pressing the Alt key, then pressing the left Shift key. Tap either Shift key to turn off the Num/Alt lock.

Although I would advise great caution when manipulating the statistics held in the data dictionary, the procedures are available, and they can be used You know more about your data and the way your data is used than the optimizer can possibly work out It is perfectly reasonable to invent some numbers that are a more accurate representation of the truth than the image the optimizer sees For example assume you have a table with 1,000,000 rows, but the end users are only ever interested in 100,000 of those rows, which include a particular column that holds only 25 different values It might be a perfectly sensible strategy to create a frequency histogram that uses a query against just those 100,000 rows and sets the column statistics to claim that the other 900,000 rows hold nulls.

At the end of a sentence, just press the Space key twice to see an automatic . (period) and the next letter you type will be automatically capitalized.

There is a risk of misusing these semantics, especially if you use the % operator to get the underlying handle to your stack semantics variable. You must be careful that there are no handles to the stack object that are retained after the function terminates. If you do retain a handle to the object and then try to access the object, you may silently access a destroyed object. The same dangers exist in calling delete on managed objects. You should try to use delete only when you can be sure that there are no others holding handles to the object you are deleting.

As another example if you have a column holding 400 different values, Oracle will only be able to create a height balanced histogram This may well be too crude for your purposes You might want to try creating a frequency histogram that describes the 254 most popular values instead..

Strangely, the optimizer seems to have various code paths that can only be taken if you have faked some statistics. There are also various code paths that seem to be taken at the end of a complex decision tree things like We use 1/num_rows at this point, but if X < Y and the table at the other end of the join has more than 100 times the rows in this table, then we use the density. So you do need to be very careful with the set_xxx_stats() procedures. You are trying to help Oracle by describing your data well, so your description has to be self-consistent, and odd things can happen if you don t cover all the details properly.

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