13.2.6 LOAD DATA Statement

LOAD DATA
    [LOW_PRIORITY | CONCURRENT] [LOCAL]
    INFILE 'file_name'
    [REPLACE | IGNORE]
    INTO TABLE tbl_name
    [PARTITION (partition_name [, partition_name] ...)]
    [CHARACTER SET charset_name]
    [{FIELDS | COLUMNS}
        [TERMINATED BY 'string']
        [[OPTIONALLY] ENCLOSED BY 'char']
        [ESCAPED BY 'char']
    ]
    [LINES
        [STARTING BY 'string']
        [TERMINATED BY 'string']
    ]
    [IGNORE number {LINES | ROWS}]
    [(col_name_or_user_var
        [, col_name_or_user_var] ...)]
    [SET col_name={expr | DEFAULT}
        [, col_name={expr | DEFAULT}] ...]

The LOAD DATA statement reads rows from a text file into a table at a very high speed. The file can be read from the server host or the client host, depending on whether the LOCAL modifier is given. LOCAL also affects data interpretation and error handling.

LOAD DATA is the complement of SELECT ... INTO OUTFILE. (See Section 13.2.9.1, “SELECT ... INTO Statement”.) To write data from a table to a file, use SELECT ... INTO OUTFILE. To read the file back into a table, use LOAD DATA. The syntax of the FIELDS and LINES clauses is the same for both statements.

The mysqlimport utility provides another way to load data files; it operates by sending a LOAD DATA statement to the server. See Section 4.5.5, “mysqlimport — A Data Import Program”.

For information about the efficiency of INSERT versus LOAD DATA and speeding up LOAD DATA, see Section 8.2.4.1, “Optimizing INSERT Statements”.

• Non-LOCAL Versus LOCAL Operation

• Input File Character Set

• Input File Location

• Security Requirements

• Duplicate-Key and Error Handling

• Index Handling

• Field and Line Handling

• Column List Specification

• Input Preprocessing

• Column Value Assignment

• Partitioned Table Support

• Concurrency Considerations

• Statement Result Information

• Replication Considerations

• Miscellaneous Topics

Non-LOCAL Versus LOCAL Operation

The LOCAL modifier affects these aspects of LOAD DATA, compared to non-LOCAL operation:

• It changes the expected location of the input file; see Input File Location.

• It changes the statement security requirements; see Security Requirements.

• Unless REPLACE is also specified, LOCAL has the same effect as the IGNORE modifier on the interpretation of input file contents and error handling; see Duplicate-Key and Error Handling, and Column Value Assignment.

LOCAL works only if the server and your client both have been configured to permit it. For example, if mysqld was started with the local_infile system variable disabled, LOCAL produces an error. See Section 6.1.6, “Security Considerations for LOAD DATA LOCAL”.

Input File Character Set

The file name must be given as a literal string. On Windows, specify backslashes in path names as forward slashes or doubled backslashes. The server interprets the file name using the character set indicated by the character_set_filesystem system variable.

By default, the server interprets the file contents using the character set indicated by the character_set_database system variable. If the file contents use a character set different from this default, it is a good idea to specify that character set by using the CHARACTER SET clause. A character set of binary specifies “no conversion.”

SET NAMES and the setting of character_set_client do not affect interpretation of file contents.

LOAD DATA interprets all fields in the file as having the same character set, regardless of the data types of the columns into which field values are loaded. For proper interpretation of the file, you must ensure that it was written with the correct character set. For example, if you write a data file with mysqldump -T or by issuing a SELECT ... INTO OUTFILE statement in mysql, be sure to use a --default-character-set option to write output in the character set to be used when the file is loaded with LOAD DATA.

Note

It is not possible to load data files that use the ucs2, utf16, utf16le, or utf32 character set.

Input File Location

These rules determine the LOAD DATA input file location:

• If LOCAL is not specified, the file must be located on the server host. The server reads the file directly, locating it as follows:

  • If the file name is an absolute path name, the server uses it as given.

  • If the file name is a relative path name with leading components, the server looks for the file relative to its data directory.

  • If the file name has no leading components, the server looks for the file in the database directory of the default database.

• If LOCAL is specified, the file must be located on the client host. The client program reads the file, locating it as follows:

  • If the file name is an absolute path name, the client program uses it as given.

  • If the file name is a relative path name, the client program looks for the file relative to its invocation directory.

  When LOCAL is used, the client program reads the file and sends its contents to the server. The server creates a copy of the file in the directory where it stores temporary files. See Section B.3.3.5, “Where MySQL Stores Temporary Files”. Lack of sufficient space for the copy in this directory can cause the LOAD DATA LOCAL statement to fail.

The non-LOCAL rules mean that the server reads a file named as ./myfile.txt relative to its data directory, whereas it reads a file named as myfile.txt from the database directory of the default database. For example, if the following LOAD DATA statement is executed while db1 is the default database, the server reads the file data.txt from the database directory for db1, even though the statement explicitly loads the file into a table in the db2 database:

LOAD DATA INFILE 'data.txt' INTO TABLE db2.my_table;

Security Requirements

For a non-LOCAL load operation, the server reads a text file located on the server host, so these security requirements must be satisified:

• You must have the FILE privilege. See Section 6.2.2, “Privileges Provided by MySQL”.

• The operation is subject to the secure_file_priv system variable setting:

  • If the variable value is a nonempty directory name, the file must be located in that directory.

  • If the variable value is empty (which is insecure), the file need only be readable by the server.

For a LOCAL load operation, the client program reads a text file located on the client host. Because the file contents are sent over the connection by the client to the server, using LOCAL is a bit slower than when the server accesses the file directly. On the other hand, you do not need the FILE privilege, and the file can be located in any directory the client program can access.

Duplicate-Key and Error Handling

The REPLACE and IGNORE modifiers control handling of new (input) rows that duplicate existing table rows on unique key values (PRIMARY KEY or UNIQUE index values):

• With REPLACE, new rows that have the same value as a unique key value in an existing row replace the existing row. See Section 13.2.8, “REPLACE Statement”.

• With IGNORE, new rows that duplicate an existing row on a unique key value are discarded. For more information, see The Effect of IGNORE on Statement Execution.

Unless REPLACE is also specified, the LOCAL modifier has the same effect as IGNORE. This occurs because the server has no way to stop transmission of the file in the middle of the operation.

If none of REPLACE, IGNORE, or LOCAL is specified, an error occurs when a duplicate key value is found, and the rest of the text file is ignored.

In addition to affecting duplicate-key handling as just described, IGNORE and LOCAL also affect error handling:

• When neither IGNORE nor LOCAL is specified, data-interpretation errors terminate the operation.

• When IGNORE—or LOCAL without REPLACE—is specified, data interpretation errors become warnings and the load operation continues, even if the SQL mode is restrictive. For examples, see Column Value Assignment.

Index Handling

To ignore foreign key constraints during the load operation, execute a SET foreign_key_checks = 0 statement before executing LOAD DATA.

If you use LOAD DATA on an empty MyISAM table, all nonunique indexes are created in a separate batch (as for REPAIR TABLE). Normally, this makes LOAD DATA much faster when you have many indexes. In some extreme cases, you can create the indexes even faster by turning them off with ALTER TABLE ... DISABLE KEYS before loading the file into the table and re-creating the indexes with ALTER TABLE ... ENABLE KEYS after loading the file. See Section 8.2.4.1, “Optimizing INSERT Statements”.

Field and Line Handling

For both the LOAD DATA and SELECT ... INTO OUTFILE statements, the syntax of the FIELDS and LINES clauses is the same. Both clauses are optional, but FIELDS must precede LINES if both are specified.

If you specify a FIELDS clause, each of its subclauses (TERMINATED BY, [OPTIONALLY] ENCLOSED BY, and ESCAPED BY) is also optional, except that you must specify at least one of them. Arguments to these clauses are permitted to contain only ASCII characters.

If you specify no FIELDS or LINES clause, the defaults are the same as if you had written this:

FIELDS TERMINATED BY '\t' ENCLOSED BY '' ESCAPED BY '\\'
LINES TERMINATED BY '\n' STARTING BY ''

Backslash is the MySQL escape character within strings in SQL statements. Thus, to specify a literal backslash, you must specify two backslashes for the value to be interpreted as a single backslash. The escape sequences '\t' and '\n' specify tab and newline characters, respectively.

In other words, the defaults cause LOAD DATA to act as follows when reading input:

• Look for line boundaries at newlines.

• Do not skip any line prefix.

• Break lines into fields at tabs.

• Do not expect fields to be enclosed within any quoting characters.

• Interpret characters preceded by the escape character \ as escape sequences. For example, \t, \n, and \\ signify tab, newline, and backslash, respectively. See the discussion of FIELDS ESCAPED BY later for the full list of escape sequences.

Conversely, the defaults cause SELECT ... INTO OUTFILE to act as follows when writing output:

• Write tabs between fields.

• Do not enclose fields within any quoting characters.

• Use \ to escape instances of tab, newline, or \ that occur within field values.

• Write newlines at the ends of lines.

Note

For a text file generated on a Windows system, proper file reading might require LINES TERMINATED BY '\r\n' because Windows programs typically use two characters as a line terminator. Some programs, such as WordPad, might use \r as a line terminator when writing files. To read such files, use LINES TERMINATED BY '\r'.

If all the input lines have a common prefix that you want to ignore, you can use LINES STARTING BY 'prefix_string' to skip the prefix and anything before it. If a line does not include the prefix, the entire line is skipped. Suppose that you issue the following statement:

LOAD DATA INFILE '/tmp/test.txt' INTO TABLE test
  FIELDS TERMINATED BY ','  LINES STARTING BY 'xxx';

If the data file looks like this:

xxx"abc",1
something xxx"def",2
"ghi",3

The resulting rows are ("abc",1) and ("def",2). The third row in the file is skipped because it does not contain the prefix.

The IGNORE number LINES clause can be used to ignore lines at the start of the file. For example, you can use IGNORE 1 LINES to skip an initial header line containing column names:

LOAD DATA INFILE '/tmp/test.txt' INTO TABLE test IGNORE 1 LINES;

When you use SELECT ... INTO OUTFILE in tandem with LOAD DATA to write data from a database into a file and then read the file back into the database later, the field- and line-handling options for both statements must match. Otherwise, LOAD DATA does not interpret the contents of the file properly. Suppose that you use SELECT ... INTO OUTFILE to write a file with fields delimited by commas:

SELECT * INTO OUTFILE 'data.txt'
  FIELDS TERMINATED BY ','
  FROM table2;

To read the comma-delimited file, the correct statement is:

LOAD DATA INFILE 'data.txt' INTO TABLE table2
  FIELDS TERMINATED BY ',';

If instead you tried to read the file with the statement shown following, it would not work because it instructs LOAD DATA to look for tabs between fields:

LOAD DATA INFILE 'data.txt' INTO TABLE table2
  FIELDS TERMINATED BY '\t';

The likely result is that each input line would be interpreted as a single field.

LOAD DATA can be used to read files obtained from external sources. For example, many programs can export data in comma-separated values (CSV) format, such that lines have fields separated by commas and enclosed within double quotation marks, with an initial line of column names. If the lines in such a file are terminated by carriage return/newline pairs, the statement shown here illustrates the field- and line-handling options you would use to load the file:

LOAD DATA INFILE 'data.txt' INTO TABLE tbl_name
  FIELDS TERMINATED BY ',' ENCLOSED BY '"'
  LINES TERMINATED BY '\r\n'
  IGNORE 1 LINES;

If the input values are not necessarily enclosed within quotation marks, use OPTIONALLY before the ENCLOSED BY option.

Any of the field- or line-handling options can specify an empty string (''). If not empty, the FIELDS [OPTIONALLY] ENCLOSED BY and FIELDS ESCAPED BY values must be a single character. The FIELDS TERMINATED BY, LINES STARTING BY, and LINES TERMINATED BY values can be more than one character. For example, to write lines that are terminated by carriage return/linefeed pairs, or to read a file containing such lines, specify a LINES TERMINATED BY '\r\n' clause.

To read a file containing jokes that are separated by lines consisting of %%, you can do this

CREATE TABLE jokes
  (a INT NOT NULL AUTO_INCREMENT PRIMARY KEY,
  joke TEXT NOT NULL);
LOAD DATA INFILE '/tmp/jokes.txt' INTO TABLE jokes
  FIELDS TERMINATED BY ''
  LINES TERMINATED BY '\n%%\n' (joke);

FIELDS [OPTIONALLY] ENCLOSED BY controls quoting of fields. For output (SELECT ... INTO OUTFILE), if you omit the word OPTIONALLY, all fields are enclosed by the ENCLOSED BY character. An example of such output (using a comma as the field delimiter) is shown here:

"1","a string","100.20"
"2","a string containing a , comma","102.20"
"3","a string containing a \" quote","102.20"
"4","a string containing a \", quote and comma","102.20"

If you specify OPTIONALLY, the ENCLOSED BY character is used only to enclose values from columns that have a string data type (such as CHAR, BINARY, TEXT, or ENUM):

1,"a string",100.20
2,"a string containing a , comma",102.20
3,"a string containing a \" quote",102.20
4,"a string containing a \", quote and comma",102.20

Occurrences of the ENCLOSED BY character within a field value are escaped by prefixing them with the ESCAPED BY character. Also, if you specify an empty ESCAPED BY value, it is possible to inadvertently generate output that cannot be read properly by LOAD DATA. For example, the preceding output just shown would appear as follows if the escape character is empty. Observe that the second field in the fourth line contains a comma following the quote, which (erroneously) appears to terminate the field:

1,"a string",100.20
2,"a string containing a , comma",102.20
3,"a string containing a " quote",102.20
4,"a string containing a ", quote and comma",102.20

For input, the ENCLOSED BY character, if present, is stripped from the ends of field values. (This is true regardless of whether OPTIONALLY is specified; OPTIONALLY has no effect on input interpretation.) Occurrences of the ENCLOSED BY character preceded by the ESCAPED BY character are interpreted as part of the current field value.

If the field begins with the ENCLOSED BY character, instances of that character are recognized as terminating a field value only if followed by the field or line TERMINATED BY sequence. To avoid ambiguity, occurrences of the ENCLOSED BY character within a field value can be doubled and are interpreted as a single instance of the character. For example, if ENCLOSED BY '"' is specified, quotation marks are handled as shown here:

"The ""BIG"" boss"  -> The "BIG" boss
The "BIG" boss      -> The "BIG" boss
The ""BIG"" boss    -> The ""BIG"" boss

FIELDS ESCAPED BY controls how to read or write special characters:

• For input, if the FIELDS ESCAPED BY character is not empty, occurrences of that character are stripped and the following character is taken literally as part of a field value. Some two-character sequences that are exceptions, where the first character is the escape character. These sequences are shown in the following table (using \ for the escape character). The rules for NULL handling are described later in this section.

  Character	Escape Sequence
  \0	An ASCII NUL (X'00') character
  \b	A backspace character
  \n	A newline (linefeed) character
  \r	A carriage return character
  \t	A tab character.
  \Z	ASCII 26 (Control+Z)
  \N	NULL

  For more information about \-escape syntax, see Section 9.1.1, “String Literals”.

  If the FIELDS ESCAPED BY character is empty, escape-sequence interpretation does not occur.

• For output, if the FIELDS ESCAPED BY character is not empty, it is used to prefix the following characters on output:

  • The FIELDS ESCAPED BY character.

  • The FIELDS [OPTIONALLY] ENCLOSED BY character.

  • The first character of the FIELDS TERMINATED BY and LINES TERMINATED BY values, if the ENCLOSED BY character is empty or unspecified.

  • ASCII 0 (what is actually written following the escape character is ASCII 0, not a zero-valued byte).

  If the FIELDS ESCAPED BY character is empty, no characters are escaped and NULL is output as NULL, not \N. It is probably not a good idea to specify an empty escape character, particularly if field values in your data contain any of the characters in the list just given.

In certain cases, field- and line-handling options interact:

• If LINES TERMINATED BY is an empty string and FIELDS TERMINATED BY is nonempty, lines are also terminated with FIELDS TERMINATED BY.

• If the FIELDS TERMINATED BY and FIELDS ENCLOSED BY values are both empty (''), a fixed-row (nondelimited) format is used. With fixed-row format, no delimiters are used between fields (but you can still have a line terminator). Instead, column values are read and written using a field width wide enough to hold all values in the field. For TINYINT, SMALLINT, MEDIUMINT, INT, and BIGINT, the field widths are 4, 6, 8, 11, and 20, respectively, no matter what the declared display width is.

  LINES TERMINATED BY is still used to separate lines. If a line does not contain all fields, the rest of the columns are set to their default values. If you do not have a line terminator, you should set this to ''. In this case, the text file must contain all fields for each row.

  Fixed-row format also affects handling of NULL values, as described later.

  Note

  Fixed-size format does not work if you are using a multibyte character set.

Handling of NULL values varies according to the FIELDS and LINES options in use:

• For the default FIELDS and LINES values, NULL is written as a field value of \N for output, and a field value of \N is read as NULL for input (assuming that the ESCAPED BY character is \).

• If FIELDS ENCLOSED BY is not empty, a field containing the literal word NULL as its value is read as a NULL value. This differs from the word NULL enclosed within FIELDS ENCLOSED BY characters, which is read as the string 'NULL'.

• If FIELDS ESCAPED BY is empty, NULL is written as the word NULL.

• With fixed-row format (which is used when FIELDS TERMINATED BY and FIELDS ENCLOSED BY are both empty), NULL is written as an empty string. This causes both NULL values and empty strings in the table to be indistinguishable when written to the file because both are written as empty strings. If you need to be able to tell the two apart when reading the file back in, you should not use fixed-row format.

An attempt to load NULL into a NOT NULL column produces either a warning or an error according to the rules described in Column Value Assignment.

Some cases are not supported by LOAD DATA:

• Fixed-size rows (FIELDS TERMINATED BY and FIELDS ENCLOSED BY both empty) and BLOB or TEXT columns.

• If you specify one separator that is the same as or a prefix of another, LOAD DATA cannot interpret the input properly. For example, the following FIELDS clause would cause problems:

  FIELDS TERMINATED BY '"' ENCLOSED BY '"'

• If FIELDS ESCAPED BY is empty, a field value that contains an occurrence of FIELDS ENCLOSED BY or LINES TERMINATED BY followed by the FIELDS TERMINATED BY value causes LOAD DATA to stop reading a field or line too early. This happens because LOAD DATA cannot properly determine where the field or line value ends.

Column List Specification

The following example loads all columns of the persondata table:

LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata;

By default, when no column list is provided at the end of the LOAD DATA statement, input lines are expected to contain a field for each table column. If you want to load only some of a table's columns, specify a column list:

LOAD DATA INFILE 'persondata.txt' INTO TABLE persondata
(col_name_or_user_var [, col_name_or_user_var] ...);

You must also specify a column list if the order of the fields in the input file differs from the order of the columns in the table. Otherwise, MySQL cannot tell how to match input fields with table columns.

Input Preprocessing

Each instance of col_name_or_user_var in LOAD DATA syntax is either a column name or a user variable. With user variables, the SET clause enables you to perform preprocessing transformations on their values before assigning the result to columns.

User variables in the SET clause can be used in several ways. The following example uses the first input column directly for the value of t1.column1, and assigns the second input column to a user variable that is subjected to a division operation before being used for the value of t1.column2:

LOAD DATA INFILE 'file.txt'
  INTO TABLE t1
  (column1, @var1)
  SET column2 = @var1/100;

The SET clause can be used to supply values not derived from the input file. The following statement sets column3 to the current date and time:

LOAD DATA INFILE 'file.txt'
  INTO TABLE t1
  (column1, column2)
  SET column3 = CURRENT_TIMESTAMP;

You can also discard an input value by assigning it to a user variable and not assigning the variable to any table column:

LOAD DATA INFILE 'file.txt'
  INTO TABLE t1
  (column1, @dummy, column2, @dummy, column3);

Use of the column/variable list and SET clause is subject to the following restrictions:

• Assignments in the SET clause should have only column names on the left hand side of assignment operators.

• You can use subqueries in the right hand side of SET assignments. A subquery that returns a value to be assigned to a column may be a scalar subquery only. Also, you cannot use a subquery to select from the table that is being loaded.

• Lines ignored by an IGNORE number LINES clause are not processed for the column/variable list or SET clause.

• User variables cannot be used when loading data with fixed-row format because user variables do not have a display width.

Column Value Assignment

To process an input line, LOAD DATA splits it into fields and uses the values according to the column/variable list and the SET clause, if they are present. Then the resulting row is inserted into the table. If there are BEFORE INSERT or AFTER INSERT triggers for the table, they are activated before or after inserting the row, respectively.

Interpretation of field values and assignment to table columns depends on these factors:

• The SQL mode (the value of the sql_mode system variable). The mode can be nonstrictive, or restrictive in various ways. For example, strict SQL mode can be enabled, or the mode can include values such as NO_ZERO_DATE or NO_ZERO_IN_DATE.

• Presence or absence of the IGNORE and LOCAL modifiers.

Those factors combine to produce restrictive or nonrestrictive data interpretation by LOAD DATA:

• Data interpretation is restrictive if the SQL mode is restrictive and neither the IGNORE nor the LOCAL modifier is specified. Errors terminate the load operation.

• Data interpretation is nonrestrictive if the SQL mode is nonrestrictive or the IGNORE or LOCAL modifier is specified. (In particular, either modifier if specified overrides a restrictive SQL mode.) Errors become warnings and the load operation continues.

Restrictive data interpretation uses these rules:

• Too many or too few fields results an error.

• Assigning NULL (that is, \N) to a non-NULL column results in an error.

• A value that is out of range for the column data type results in an error.

• Invalid values produce errors. For example, a value such as 'x' for a numeric column results in an error, not conversion to 0.

By contrast, nonrestrictive data interpretation uses these rules:

• If an input line has too many fields, the extra fields are ignored and the number of warnings is incremented.

• If an input line has too few fields, the columns for which input fields are missing are assigned their default values. Default value assignment is described in Section 11.6, “Data Type Default Values”.

• Assigning NULL (that is, \N) to a non-NULL column results in assignment of the implicit default value for the column data type. Implicit default values are described in Section 11.6, “Data Type Default Values”.

• Invalid values produce warnings rather than errors, and are converted to the “closest” valid value for the column data type. Examples:

  • A value such as 'x' for a numeric column results in conversion to 0.

  • An out-of-range numeric or temporal value is clipped to the closest endpoint of the range for the column data type.

  • An invalid value for a DATETIME, DATE, or TIME column is inserted as the implicit default value, regardless of the SQL mode NO_ZERO_DATE setting. The implicit default is the appropriate “zero” value for the type ('0000-00-00 00:00:00', '0000-00-00', or '00:00:00'). See Section 11.2, “Date and Time Data Types”.

• LOAD DATA interprets an empty field value differently from a missing field:

  • For string types, the column is set to the empty string.

  • For numeric types, the column is set to 0.

  • For date and time types, the column is set to the appropriate “zero” value for the type. See Section 11.2, “Date and Time Data Types”.

  These are the same values that result if you assign an empty string explicitly to a string, numeric, or date or time type explicitly in an INSERT or UPDATE statement.

TIMESTAMP columns are set to the current date and time only if there is a NULL value for the column (that is, \N) and the column is not declared to permit NULL values, or if the TIMESTAMP column default value is the current timestamp and it is omitted from the field list when a field list is specified.

LOAD DATA regards all input as strings, so you cannot use numeric values for ENUM or SET columns the way you can with INSERT statements. All ENUM and SET values must be specified as strings.

BIT values cannot be loaded directly using binary notation (for example, b'011010'). To work around this, use the SET clause to strip off the leading b' and trailing ' and perform a base-2 to base-10 conversion so that MySQL loads the values into the BIT column properly:

$> cat /tmp/bit_test.txt
b'10'
b'1111111'
$> mysql test
mysql> LOAD DATA INFILE '/tmp/bit_test.txt'
       INTO TABLE bit_test (@var1)
       SET b = CAST(CONV(MID(@var1, 3, LENGTH(@var1)-3), 2, 10) AS UNSIGNED);
Query OK, 2 rows affected (0.00 sec)
Records: 2  Deleted: 0  Skipped: 0  Warnings: 0

mysql> SELECT BIN(b+0) FROM bit_test;
+----------+
| BIN(b+0) |
+----------+
| 10       |
| 1111111  |
+----------+
2 rows in set (0.00 sec)

For BIT values in 0b binary notation (for example, 0b011010), use this SET clause instead to strip off the leading 0b:

SET b = CAST(CONV(MID(@var1, 3, LENGTH(@var1)-2), 2, 10) AS UNSIGNED)

Partitioned Table Support

LOAD DATA supports explicit partition selection using the PARTITION clause with a list of one or more comma-separated names of partitions, subpartitions, or both. When this clause is used, if any rows from the file cannot be inserted into any of the partitions or subpartitions named in the list, the statement fails with the error Found a row not matching the given partition set. For more information and examples, see Section 22.5, “Partition Selection”.

For partitioned tables using storage engines that employ table locks, such as MyISAM, LOAD DATA cannot prune any partition locks. This does not apply to tables using storage engines that employ row-level locking, such as InnoDB. For more information, see Section 22.6.4, “Partitioning and Locking”.

Concurrency Considerations

With the LOW_PRIORITY modifier, execution of the LOAD DATA statement is delayed until no other clients are reading from the table. This affects only storage engines that use only table-level locking (such as MyISAM, MEMORY, and MERGE).

With the CONCURRENT modifier and a MyISAM table that satisfies the condition for concurrent inserts (that is, it contains no free blocks in the middle), other threads can retrieve data from the table while LOAD DATA is executing. This modifier affects the performance of LOAD DATA a bit, even if no other thread is using the table at the same time.

Statement Result Information

When the LOAD DATA statement finishes, it returns an information string in the following format:

Records: 1  Deleted: 0  Skipped: 0  Warnings: 0

Warnings occur under the same circumstances as when values are inserted using the INSERT statement (see Section 13.2.5, “INSERT Statement”), except that LOAD DATA also generates warnings when there are too few or too many fields in the input row.

You can use SHOW WARNINGS to get a list of the first max_error_count warnings as information about what went wrong. See Section 13.7.5.40, “SHOW WARNINGS Statement”.

If you are using the C API, you can get information about the statement by calling the mysql_info() function. See mysql_info().

Replication Considerations

For information about LOAD DATA in relation to replication, see Section 16.4.1.18, “Replication and LOAD DATA”.

Miscellaneous Topics

On Unix, if you need LOAD DATA to read from a pipe, you can use the following technique (the example loads a listing of the / directory into the table db1.t1):

mkfifo /mysql/data/db1/ls.dat
chmod 666 /mysql/data/db1/ls.dat
find / -ls > /mysql/data/db1/ls.dat &
mysql -e "LOAD DATA INFILE 'ls.dat' INTO TABLE t1" db1

Here you must run the command that generates the data to be loaded and the mysql commands either on separate terminals, or run the data generation process in the background (as shown in the preceding example). If you do not do this, the pipe blocks until data is read by the mysql process.