I have a file that can contain from 3 to 4 columns of numerical values which are separated by comma. Empty fields are defined with the exception when they are at the end of the row:
1,2,3,4,5
1,2,3,,5
1,2,3
The following table was created in MySQL:
+-------+--------+------+-----+---------+-------+ | Field | Type | Null | Key | Default | Extra | +-------+--------+------+-----+---------+-------+ | one | int(1) | YES | | NULL | | | two | int(1) | YES | | NULL | | | three | int(1) | YES | | NULL | | | four | int(1) | YES | | NULL | | | five | int(1) | YES | | NULL | | +-------+--------+------+-----+---------+-------+
I am trying to load the data using MySQL LOAD command:
LOAD DATA INFILE '/tmp/testdata.txt' INTO TABLE moo FIELDS
TERMINATED BY "," LINES TERMINATED BY "\n";
The resulting table:
+------+------+-------+------+------+ | one | two | three | four | five | +------+------+-------+------+------+ | 1 | 2 | 3 | 4 | 5 | | 1 | 2 | 3 | 0 | 5 | | 1 | 2 | 3 | NULL | NULL | +------+------+-------+------+------+
The problem lies with the fact that when a field is empty in the raw data and is not defined, MySQL for some reason does not use the columns default value (which is NULL) and uses zero. NULL is used correctly when the field is missing alltogether.
Unfortunately, I have to be able to distinguish between NULL and 0 at this stage so any help would be appreciated.
Thanks S.
edit
The output of SHOW WARNINGS:
+---------+------+--------------------------------------------------------+ | Level | Code | Message | +---------+------+--------------------------------------------------------+ | Warning | 1366 | Incorrect integer value: '' for column 'four' at row 2 | | Warning | 1261 | Row 3 doesn't contain data for all columns | | Warning | 1261 | Row 3 doesn't contain data for all columns | +---------+------+--------------------------------------------------------+
MySQL manual says:
So you need to replace the blanks with \N like this:
Preprocess your input CSV to replace blank entries with \N.
Attempt at a regex: s/,,/,\n,/g and s/,$/,\N/g
Good luck.
This will do what you want. It reads the fourth field into a local variable, and then sets the actual field value to NULL, if the local variable ends up containing an empty string:
If they're all possibly empty, then you'd read them all into variables and have multiple SET statements, like this:
The behaviour is different depending upon the database configuration. In the strict mode this would throw an error else a warning. Following query may be used for identifying the database configuration.