How To Load Pic X (1 Data Type Using Sql Loader

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Here are a couple of quick examples of how to extract the individual elements of a CSV-like string using Oracle's regular expressions.The first example uses a rather simple regular expression, but if there is a comma within one of the values - it will fail (for example: 'Jones, Joe'). It will account for either having the values enclosed in quotes or not, but the comma can only be there to seperate values.The second example corrects this issue, but the regular expression has to be just a bit more complicated. An explanation of each of the two regular expressions is included at the end.The first example below shows the sample data in the first 'WITH' sub-query. Notice that the data is intentionally messy; it has extra spaces and sometimes includes double-quote marks around the values.The second 'WITH' sub-query uses the 'REGEXPREPLACE' function to extract one item at a time from the entire string. The regular expression must match with each record of the source data.

  1. How To Load Pic X (1 Data Type Using Sql Loader 1

The Main Form Load region consists of the main form load function, which calls the GetRegistrySettings function to retrieve values from the current user's registry, makes sure that the timer is not on, initializes the FileTypes ArrayList, sets all the from controls to the registry values by calling the SetControlsToRegistrySettings function.

Sql loader example

How To Load Pic X (1 Data Type Using Sql Loader 1

Sims 4 wall art cc poster sayings. The internal sets of parenthesis in the expression identify the four seperate data elements. In the function, the last parameter (ie: '3') tells it to replace the entire CSV record with that one particular value (identified by one of the four sets of parenthesis within the regular expression). So, when this subquery finishes, we now have the CSV-type records broken down into four text columns (c1, c2, c3, c4).The third 'WITH' sub-query trims off extra spaces and quote marks, and then casts each data element to its proper data type. Notice that the DATE strings all need to match the format pattern given here to be able to successfully convert them into date data-types.

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