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You go and get someone to observe this behavior with you, but it is not reproducible as the blocks are now clean on the second query You simply write it off as one of those database mysteries a mystery that only happens when you are alone In an OLTP system, you ll probably never see a block cleanout happening, since those systems are characterized by small, short transactions that affect only a few blocks By design, all or most of the transactions are short and sweet Modify a couple of blocks and they all get cleaned out In a warehouse where you make massive UPDATEs to the data after a load, block cleanouts may be a factor in your design Some operations will create data on clean blocks For example, CREATE TABLE AS SELECT, direct-path loaded data, and direct-path inserted data will all create clean blocks.

An UPDATE, normal INSERT, or DELETE may create blocks that need to be cleaned with the first read This could really affect you if your processing consists of Bulk-loading lots of new data into the data warehouse Running UPDATEs on all of the data you just loaded (producing blocks that need to be cleaned out) Letting people query the data.

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Although the filter feature is called Top 10, you can use it to filter for the highest or lowest values, and you can choose a number other than 10. In the first drop-down list in the Top 10 Filter dialog box, you can choose Top or Bottom, to see either the highest or lowest values. In the second box, you can type any number, to limit the records that will be visible in the filtered pivot table. In the third drop-down list, you can select Items, Percent, or Sum. In the fourth drop-down list, you can choose one of the Value fields in the pivot table.

sqlite3_stmt handles, respectively. Every major operation in the API is done using one of these two structures. A connection represents a single connection to a database as well as a single transaction context. Statements are derived from connections. That is, every statement has an associated connection object. A statement represents a single compiled SQL statement. Internally, it is expressed in the form of VDBE byte code a program that when executed will carry out the SQL command. Statements contain everything needed to execute a command. They include resources to hold the state of the VDBE program as it is executed in a stepwise fashion, B-tree cursors that point to records on disk, and other things such as bound parameters, which are addressed later in the section Parameter Binding. Although they contain many different things, you can simply think of them as cursors with which to iterate through a result set, or as opaque handles referencing a single SQL command.

You have to realize that the first query to touch the data will incur some additional processing if the block needs to be cleaned. Realizing this, you yourself should touch the data after the UPDATE. You just loaded or modified a ton of data you need to analyze it at the very least. Perhaps you need to run some reports to validate the load. This will clean the block out and make it so the next query doesn t have to. Better yet, since you just bulk-loaded the data, you now need to refresh the statistics anyway. Running the DBMS_STATS utility to gather statistics may well clean out all of the blocks as it just uses SQL to query the information and would naturally clean the blocks out as it goes along.

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