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The UPDATE command can be used to add data to existing rows in a table. True Which of the following clauses of the UPDATE command is optional?The syntax of the Query language is composed of clauses. Each clause starts with one or two keywords. All clauses are optional. Example using all five clauses listed above, following the prescribed sequence or order: Don't forget to click the UPDATE VIEW button for the Query statement to take effect. 2 In this tutorial, you will learn how to use Query statements in Awesome Table to display only the columns of interest, reorder your columns, show items that meet the criteria you have set, sort Q2) Which of the following is the correct outcome of the SQL query below? You can update only a single table using UPDATE command; You can update records, you need to specify UPDATE command using the WHERE clause. C. It is mandatory to insert atleast a single row while creating a table. Here is the list of SQL questions to test the skill of a data science professional. This SQL quiz focuses on challenges people encounter while using it. 46 Questions on SQL to test a data science professional (Skilltest Solution)46 Questions on SQL to test a data science professional (Skilltest Solution)

Use Queries To Show Records Based On Conditions – Documentation

Which of the following statements about the UPDATE command is incorrect?. The mandatory WHERE clause identifies the specific row(s) to be changed by Q2. Which Of The Following Clauses Of The UPDATE Command Is Optional? Q3. If The ____ Clause Of The UPDATE Command Is Omitted, Then All The Rows Not so much the case with SELECT, for it is a mandatory clause. Namely, DML commands like INSERT (not directly, but via SELECT), UPDATE, and and blog posts have been written on each of these clauses, I hope you . In this blog post, we visit, at a high-level, the major SQL clauses as they apply to PostgreSQL. There are many dialects of SQL but PostgreSQL''s interpretation is the focus in this blog.

46 Questions On SQL To Test A Data Science Professional (Skilltest

Which of the following commands is used to modify existing data in a table? UPDATE Which of the following clauses of the UPDATE command is optional?You can in the WHERE clause use any of the functions that MySQL supports. The SELECT commands are normal select commands, but with the following Both clauses are optional, but FIELDS must precede LINES if both are specified.As you might guess, these commands are used to update (or modify), insert, and of the INSERT command also support an optional conflict resolution clause.Merges a set of updates, insertions, and deletions based on a source table into a target Delta table. These clauses have the following semantics. Each WHEN MATCHED clause can have an optional condition. MERGE INTO (Delta Lake on Databricks) January 26, 2021Merges a set of updates, insertions, and deletions based on a source table into a target Delta table. In this article:SyntaxExamples Syntax

SELECT Syntax

SELECT [STRAIGHT_JOIN] [SQL_SMALL_RESULT] [SQL_BIG_RESULT] [SQL_BUFFER_RESULT] [SQL_CACHE | SQL_NO_CACHE] [SQL_CALC_FOUND_ROWS] [HIGH_PRIORITY] [DISTINCT | DISTINCTROW | ALL] select_expression,... [INTO OUTFILE 'file_name' export_options] [FROM table_references [WHERE where_definition] [GROUP BY unsigned_integer [ASC | DESC], ...] [HAVING where_definition] [ORDER BY formula [ASC | DESC] ,...] [LIMIT [offset,] rows] [PROCEDURE procedure_name] [FOR UPDATE | LOCK IN SHARE MODE]]

SELECT is used to retrieve rows decided on from a number of tables. select_expression signifies the columns you need to retrieve. SELECT will also be used to retrieve rows computed regardless of any desk. For example:

mysql> SELECT 1 + 1; -> 2

All key phrases used will have to be given in exactly the order proven in the preceding instance. For example, a HAVING clause should come after any GROUP BY clause and earlier than any ORDER BY clause.

A SELECT expression is also given an alias the use of AS. The alias is used as the expression's column name and can be used with ORDER BY or HAVING clauses. For example:

mysql> SELECT CONCAT(last_name,', ',first_name) AS full_name FROM mytable ORDER BY full_name;

You can not use a column alias in a WHERE clause as a result of the column worth would possibly not but be determined when the WHERE clause is performed. See Section A.5.4.

The FROM table_references clause signifies the tables from which to retrieve rows. If you identify multiple desk, you're acting a sign up for. For knowledge on sign up for syntax, see Section 6.4.1.1. For every table specified, it's possible you'll optionally specify an alias:

table_name [[AS] alias] [USE INDEX (key_list)] [IGNORE INDEX (key_list)]

As of MySQL Version 3.23.12, you'll give hints about which index MySQL should use when retrieving data from a desk. This is useful if EXPLAIN shows that MySQL is using the wrong index. By specifying USE INDEX (key_list), you can inform MySQL to make use of only one of the specified indexes to in finding rows in the table. The choice syntax IGNORE INDEX (key_list) can be utilized to tell MySQL not to use some specific index. USE/IGNORE KEY are synonyms for USE/IGNORE INDEX.

You can discuss with a column as col_name, tbl_name.col_name, or db_name.tbl_name.col_name. You needn't specify a tbl_name or db_name.tbl_name prefix for a column reference in a SELECT commentary until the reference could be ambiguous. See Section 6.1.2, for examples of ambiguity that require the extra particular column reference bureaucracy.

A table reference may be aliased the use of tbl_name [AS] alias_name:

mysql> SELECT t1.name, t2.wage FROM employee AS t1, data AS t2 -> WHERE t1.identify = t2.title; mysql> SELECT t1.identify, t2.salary FROM worker t1, information t2 -> WHERE t1.title = t2.title;

Columns decided on for output could also be referred to in ORDER BY and GROUP BY clauses the usage of column names, column aliases, or column positions. Column positions begin with 1:

mysql> SELECT college, area, seed FROM tournament -> ORDER BY region, seed; mysql> SELECT college, region AS r, seed AS s FROM tournament -> ORDER BY r, s; mysql> SELECT school, area, seed FROM tournament -> ORDER BY 2, 3;

To type in opposite order, upload the DESC (descending) keyword to the name of the column in the ORDER BY clause that you are sorting by means of. The default is ascending order; this can be specified explicitly using the ASC keyword.

You can in the WHERE clause use any of the purposes that MySQL helps. See Section 6.3.

The HAVING clause can confer with any column or alias named in the select_expression. It is applied last, just earlier than items are despatched to the consumer, without a optimisation. Don't use HAVING for pieces that should be in the WHERE clause. For example, do not write this:

mysql> SELECT col_name FROM tbl_name HAVING col_name > 0;

Write this as an alternative:

mysql> SELECT col_name FROM tbl_name WHERE col_name > 0;

In MySQL Version 3.22.Five or later, you can also write queries like this:

mysql> SELECT person,MAX(wage) FROM users -> GROUP BY consumer HAVING MAX(wage)>10;

In older MySQL variations, you'll write this as an alternative:

mysql> SELECT consumer,MAX(wage) AS sum FROM customers -> group by way of consumer HAVING sum>10;

The options DISTINCT, DISTINCTROW, and ALL specify whether duplicate rows will have to be returned. The default is (ALL), in which case all matching rows are returned. DISTINCT and DISTINCTROW are synonyms and specify that duplicate rows in the outcome set must be removed.

All options beginning with SQL_, STRAIGHT_JOIN, and HIGH_PRIORITY are MySQL extensions to ANSI SQL.

HIGH_PRIORITY will give the SELECT higher priority than a commentary that updates a table. You must most effective use this for queries which are very rapid and must be accomplished immediately. A SELECT HIGH_PRIORITY query will run if the table is locked for read although an update commentary is looking ahead to the desk to be free.

SQL_BIG_RESULT can be utilized with GROUP BY or DISTINCT to inform the optimiser that the result set will have many rows. In this situation, MySQL will directly use disk-based temporary tables if needed. MySQL will also, on this case, prefer sorting to doing a brief table with a key on the GROUP BY components.

SQL_BUFFER_RESULT will pressure the result to be put into a short lived desk. This will assist MySQL unfastened the table locks early and will lend a hand in circumstances the place it takes a long time to ship the result set to the consumer.

SQL_SMALL_RESULT, a MySQL-specific option, can be used with GROUP BY or DISTINCT to tell the optimiser that the consequence set will likely be small. In this situation, MySQL will use rapid temporary tables to store the resulting desk as a substitute of using sorting. In MySQL Version 3.23 this shouldn't most often be needed.

SQL_CALC_FOUND_ROWS tells MySQL to calculate what number of rows there would be in the result, brushing aside any LIMIT clause. The number of rows may also be got with SELECT FOUND_ROWS( ). See Section 6.3.6.2.

SQL_CACHE tells MySQL to store the query result in the query cache if you're the use of SQL_QUERY_CACHE_TYPE=2 (DEMAND). See Section 6.9.

SQL_NO_CACHE tells MySQL not to permit the question end result to be saved in the question cache. See Section 6.9.

If you utilize GROUP BY, the output rows will be looked after consistent with the GROUP BY as in case you would have had an ORDER BY over all the fields in the GROUP BY. MySQL has extended the GROUP BY in order that you'll additionally specify ASC and DESC to GROUP BY:

SELECT a,COUNT(b) FROM test_table GROUP BY a DESC

MySQL has extended the use of GROUP BY to can help you choose fields which don't seem to be discussed in the GROUP BY clause. If you don't seem to be getting the results you are expecting from your question, please read the GROUP BY description. See Section 6.3.7.

STRAIGHT_JOIN forces the optimiser to sign up for the tables in the order in which they are listed in the FROM clause. You can use this to speed up a question if the optimiser joins the tables in non-optimal order. See Section 5.2.1.

The LIMIT clause can be used to constrain the number of rows returned by way of the SELECT commentary. LIMIT takes one or two numeric arguments. The arguments must be integer constants.

If two arguments are given, the first specifies the offset of the first row to go back, and the 2nd specifies the most number of rows to return. The offset of the preliminary row is 0 (not 1):

mysql> SELECT * FROM desk LIMIT 5,10; # Retrieve rows 6-15

If one argument is given, it indicates the most number of rows to go back:

mysql> SELECT * FROM desk LIMIT 5; # Retrieve first 5 rows

In different phrases, LIMIT n is similar to LIMIT 0,n.

The SELECT ... INTO OUTFILE 'file_name' form of SELECT writes the decided on rows to a file. The file is created on the server host and can not already exist (among different things, this prevents database tables and information such as /and so on/passwd from being destroyed). You will have to have the dossier privilege on the server host to use this type of SELECT.

SELECT ... INTO OUTFILE is basically supposed to assist you to very quickly sell off a desk on the server device. If you want to create the resulting file on some host as opposed to the server host you'll be able to't use SELECT ... INTO OUTFILE. In this situation you should as an alternative use some shopper program like mysqldump --tab or mysql -e "SELECT ..." > outfile to generate the file.

SELECT ... INTO OUTFILE is the complement of LOAD DATA INFILE; the syntax for the export_options part of the commentary consists of the identical FIELDS and LINES clauses that are used with the LOAD DATA INFILE statement. See Section 6.4.9.

In the ensuing textual content file, only the following characters are escaped by means of the ESCAPED BY character:

Additionally, ASCII 0 is transformed to ESCAPED BY adopted by way of 0 (ASCII 48).

This is because you will have to break out any FIELDS TERMINATED BY, ESCAPED BY, or LINES TERMINATED BY characters to reliably be able to read the dossier again. ASCII 0 is escaped to enable you to view with some pagers.

As the ensuing dossier doesn't have to evolve to the SQL syntax, not anything else want be escaped.

Here is an example of getting a dossier in the format used by many outdated methods:

SELECT a,b,a+b INTO OUTFILE "/tmp/result.text" FIELDS TERMINATED BY ',' OPTIONALLY ENCLOSED BY '"' LINES TERMINATED BY "\n" FROM test_table;

If you employ INTO DUMPFILE as a substitute of INTO OUTFILE, MySQL will only write one row into the dossier, without any column or line terminations and without any escaping. This is helpful if you wish to store a blob in a dossier.

Note that any file created by means of INTO OUTFILE and INTO DUMPFILE is going to be readable for all users! The reason why is that MySQL server can't create a file that is owned through any individual different than the consumer it's running as (you must never run mysqld as root). Therefore, the dossier must be word-readable in an effort to retrieve the rows.

If you're the use of FOR UPDATE on a table handler with page/row locks, the tested rows shall be write-locked.

JOIN syntax

MySQL helps the following JOIN syntaxes for use in SELECT statements:

table_reference, table_reference table_reference [CROSS] JOIN table_reference table_reference INNER JOIN table_reference join_condition table_reference STRAIGHT_JOIN table_reference table_reference LEFT [OUTER] JOIN table_reference join_condition table_reference LEFT [OUTER] JOIN table_reference table_reference NATURAL [LEFT [OUTER]] JOIN table_reference oj table_reference LEFT OUTER JOIN table_reference ON conditional_expr table_reference RIGHT [OUTER] JOIN table_reference join_condition table_reference RIGHT [OUTER] JOIN table_reference table_reference NATURAL [RIGHT [OUTER]] JOIN table_reference

Where table_reference is outlined as:

table_name [[AS] alias] [USE INDEX (key_list)] [IGNORE INDEX (key_list)]

and join_condition is outlined as:

ON conditional_expr | USING (column_list)

You will have to never have any stipulations in the ON section that are used to restrict which rows you will have in the outcome set. If you need to limit which rows must be in the end result, it's a must to do this in the WHERE clause.

Note that during variations earlier than Version 3.23.17, the INNER JOIN didn't take a join_condition!

The remaining LEFT OUTER JOIN syntax proven in the previous example exists only for compatibility with ODBC:

A table reference may be aliased the usage of tbl_name AS alias_name or tbl_name alias_name:

mysql> SELECT t1.name, t2.salary FROM worker AS t1, data AS t2 -> WHERE t1.title = t2.name;

The ON conditional is any conditional of the form that may be utilized in a WHERE clause.

If there is no matching record for the right desk in the ON or USING phase in a LEFT JOIN, a row with all columns set to NULL is used for the right table. You can use this reality to seek out records in a table that have no counterpart in another desk:

mysql> SELECT table1.* FROM table1 -> LEFT JOIN table2 ON table1.id=table2.identification -> WHERE table2.id IS NULL;

This example unearths all rows in table1 with an identification worth that is no longer found in table2 (that is, all rows in table1 with out a corresponding row in table2). This assumes that table2.identity is declared NOT NULL, of direction. See Section 5.2.6.

The USING (column_list) clause names a listing of columns that must exist in each tables. A USING clause akin to:

A LEFT JOIN B USING (C1,C2,C3,...)

is defined to be semantically just like an ON expression like this:

A.C1=B.C1 AND A.C2=B.C2 AND A.C3=B.C3,...

The NATURAL [LEFT] JOIN of two tables is outlined to be semantically equivalent to an INNER JOIN or a LEFT JOIN with a USING clause that names all columns that exist in each tables.

INNER JOIN and , (comma) are semantically similar. Both do a complete join between the tables used. Normally, you specify how the tables will have to be connected in the WHERE condition.

RIGHT JOIN works analogously to LEFT JOIN. To keep code portable across databases, it's really helpful to use LEFT JOIN as a substitute of RIGHT JOIN.

STRAIGHT_JOIN is just like JOIN, except that the left desk is always learn before the proper desk. This can be used for the ones (few) cases the place the join optimiser puts the tables in the improper order.

As of MySQL Version 3.23.12, you'll be able to give hints about which index MySQL will have to use when retrieving knowledge from a table. This is useful if EXPLAIN presentations that MySQL is using the incorrect index. By specifying USE INDEX (key_list), you can tell MySQL to make use of only one of the specified indexes to in finding rows in the desk. The selection syntax IGNORE INDEX (key_list) can be used to tell MySQL not to use some particular index. USE/IGNORE KEY are synonyms for USE/IGNORE INDEX.

Some examples:

mysql> SELECT * FROM table1,table2 WHERE table1.id=table2.identification; mysql> SELECT * FROM table1 LEFT JOIN table2 ON table1.identification=table2.id; mysql> SELECT * FROM table1 LEFT JOIN table2 USING (id); mysql> SELECT * FROM table1 LEFT JOIN table2 ON table1.id=table2.identity -> LEFT JOIN table3 ON table2.identity=table3.identification; mysql> SELECT * FROM table1 USE INDEX (key1,key2) -> WHERE key1=1 AND key2=2 AND key3=3; mysql> SELECT * FROM table1 IGNORE INDEX (key3) -> WHERE key1=1 AND key2=2 AND key3=3;

See Section 5.2.6.

UNION syntaxSELECT ... UNION [ALL] SELECT ... [UNION SELECT ...]

UNION is applied in MySQL 4.0.0.

UNION is used to combine the consequence from many SELECT statements into one end result set.

The SELECT instructions are standard select commands, however with the following restrictions:

If you don't use the key phrase ALL for the UNION, all returned rows can be exotic, as if you had done a DISTINCT for the general consequence set. If you specify ALL, you are going to get all matching rows from all the used SELECT statements.

If you wish to have to use an ORDER BY for the total UNION end result, you should use parentheses:

(SELECT a FROM table_name WHERE a=10 AND B=1 ORDER BY a LIMIT 10) UNION (SELECT a FROM table_name WHERE a=Eleven AND B=2 ORDER BY a LIMIT 10) ORDER BY a;

HANDLER Syntax

HANDLER tbl_name OPEN [ AS alias ] HANDLER tbl_name READ index_name < (value1,value2,...) [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name READ index_name PREV [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name READ NEXT [ WHERE ... ] [LIMIT ... ] HANDLER tbl_name CLOSE

The HANDLER remark provides direct get admission to to the MyISAM desk handler interface, bypassing the SQL optimiser. Thus, it is quicker than SELECT.

The first form of the HANDLER remark opens a table, making it available by way of next HANDLER ... READ statements. This table object is not shared through different threads and will not be closed till the thread calls HANDLER tbl_name CLOSE or the thread dies.

The 2d shape fetches one row (or extra, specified by the LIMIT clause) the place the index specified complies to the condition and the WHERE situation is met. If the index consists of a number of parts (spans over a number of columns), the values are specified in comma-separated lists. Providing values just for the few first columns is imaginable.

The 3rd form fetches one row (or extra, specified by the LIMIT clause) from the desk in index order, matching the WHERE situation.

The fourth shape (without index specification) fetches one row (or extra, specified by the LIMIT clause) from the desk in herbal row order (as saved in the knowledge file) matching the WHERE condition. It is faster than HANDLER tbl_name READ index_name when a complete table scan is desired.

HANDLER ... CLOSE closes a desk that was opened with HANDLER ... OPEN.

HANDLER is a reasonably low-level remark. For instance, it does no longer provide consistency. That is, HANDLER ... OPEN does not take a snapshot of the desk, and does no longer lock the desk. This implies that after a HANDLER ... OPEN is issued, desk information can also be changed (through this or another thread) and those adjustments might appear simplest partially in HANDLER ... NEXT or HANDLER ... PREV scans.

INSERT Syntax

INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name [(col_name,...)] VALUES (expression,...),(...),... or INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name [(col_name,...)] SELECT ... or INSERT [LOW_PRIORITY | DELAYED] [IGNORE] [INTO] tbl_name SET col_name=expression, col_name=expression, ...

INSERT inserts new rows into an existing table. The INSERT ... VALUES shape of the observation inserts rows in response to explicitly specified values. The INSERT ... SELECT shape inserts rows decided on from another table or tables. The INSERT ... VALUES shape with multiple value lists is supported in MySQL Version 3.22.Five or later. The col_name=expression syntax is supported in MySQL Version 3.22.10 or later.

tbl_name is the table into which rows must be inserted. The column name record or the SET clause signifies which columns the commentary specifies values for:

If you specify no column record for INSERT ... VALUES or INSERT ... SELECT, values for all columns should be equipped in the VALUES( ) checklist or by way of the SELECT. If you don't know the order of the columns in the table, use DESCRIBE tbl_name to determine.

Any column no longer explicitly given a value is set to its default price. For example, for those who specify a column record that doesn't identify all the columns in the desk, unnamed columns are set to their default values. Default value assignment is described in Section 6.5.3.

MySQL at all times has a default worth for all fields. This is one thing that is imposed on MySQL so that you could paintings with both transactional and non-transactional tables.

Our view is that field content assessments should be performed in the application and no longer in the database server.

An expression might discuss with any column that used to be set earlier in a value checklist. For instance, you can say this:

mysql> INSERT INTO tbl_name (col1,col2) VALUES(15,col1*2);

however not this:

mysql> INSERT INTO tbl_name (col1,col2) VALUES(col2*2,15);

If you specify the keyword LOW_PRIORITY, execution of the INSERT is not on time till no different purchasers are studying from the table. In this example the shopper has to wait till the insert observation is completed, which would possibly take a very long time if the table is in heavy use. This is against this to INSERT DELAYED, which we could the consumer proceed immediately. See Section 6.4.4. Note that LOW_PRIORITY will have to in most cases now not be used with MyISAM tables, as this disables concurrent inserts. See Section 7.1.

If you specify the key phrase IGNORE in an INSERT with many worth rows, any rows that duplicate an current PRIMARY or UNIQUE key in the table are unnoticed and aren't inserted. If you do not specify IGNORE, the insert is aborted if any row duplicates an current key worth. You can determine with the C API serve as mysql_info( ) how many rows were inserted into the desk.

If MySQL used to be configured the use of the DONT_USE_DEFAULT_FIELDS possibility, INSERT statements generate an error except you explicitly specify values for all columns that require a non-NULL worth. See Section 2.3.3.

You can find the value used for an AUTO_INCREMENT column with the mysql_insert_id function. See Section 8.4.3.126.

If you utilize INSERT ... SELECT or an INSERT ... VALUES commentary with a number of price lists, you'll be able to use the C API function mysql_info( ) to get information about the question. The structure of the data string is shown here:

Records: 100 Duplicates: 0 Warnings: 0

Duplicates signifies the quantity of rows that couldn't be inserted because they might reproduction some current unique index worth. Warnings signifies the number of attempts to insert column values that had been problematic come what may. Warnings can occur under any of the following conditions:

Inserting NULL right into a column that has been declared NOT NULL. The column is set to its default price.

Setting a numeric column to a worth that lies out of doors the column's range. The worth is clipped to the suitable endpoint of the vary.

Setting a numeric column to a worth corresponding to '10.34 a'. The trailing garbage is stripped and the closing numeric part is inserted. If the value doesn't make sense as a bunch, the column is set to 0.

Inserting a string right into a CHAR, VARCHAR, TEXT, or BLOB column that exceeds the column's most duration. The price is truncated to the column's most length.

Inserting a value into a date or time column that is illegal for the column kind. The column is set to the suitable zero worth for the kind.

INSERT ... SELECT syntaxINSERT [LOW_PRIORITY] [IGNORE] [INTO] tbl_name [(column list)] SELECT ...

With the INSERT ... SELECT statement you'll be able to briefly insert many rows into a desk from one or many tables:

INSERT INTO tblTemp2 (fldID) SELECT tblTemp1.fldOrder_ID FROM tblTemp1 WHERE tblTemp1.fldOrder_ID > 100;

The following stipulations hold for an INSERT ... SELECT commentary:

The goal table of the INSERT statement can't seem in the FROM clause of the SELECT part of the query because it's forbidden in ANSI SQL to SELECT from the identical table into which you are putting. (The drawback is that the SELECT perhaps would find data that were inserted previous right through the similar run. When the use of sub-select clauses, the state of affairs may simply be very complicated!)

AUTO_INCREMENT columns work as same old.

You can use the C API function mysql_info( ) to get details about the query. See Section 6.4.3.

To make certain that the update log/binary log can be used to re-create the authentic tables, MySQL won't allow concurrent inserts throughout INSERT ... SELECT.

You can, of path, additionally use REPLACE instead of INSERT to overwrite outdated rows.

INSERT DELAYED Syntax

INSERT DELAYED ...

The DELAYED option for the INSERT observation is a MySQL-specific choice that is very helpful you probably have clients that may't watch for the INSERT to complete. This is a common downside whilst you use MySQL for logging and also you additionally periodically run SELECT and UPDATE statements that take a long time to complete. DELAYED was offered in MySQL Version 3.22.15. It is a MySQL extension to ANSI SQL92.

INSERT DELAYED only works with ISAM and MyISAM tables. Note that as MyISAM tables strengthen concurrent SELECT and INSERT, if there are no free blocks in the heart of the data file you very seldom wish to use INSERT DELAYED with MyISAM. See Section 7.1.

When you utilize INSERT DELAYED, the consumer gets an OK without delay and the row will be inserted when the desk is not in use via some other thread.

Another primary benefit of using INSERT DELAYED is that inserts from many clients are bundled in combination and written in one block. This is much sooner than doing many separate inserts.

Note that recently the queued rows are handiest saved in memory till they are inserted into the desk. This means that if you happen to kill mysqld the hard way (kill -9) or if mysqld dies abruptly, any queued rows that weren't written to disk are misplaced!

The following describes in detail what occurs when you use the DELAYED approach to INSERT or REPLACE. In this description, the "thread" is the thread that gained an INSERT DELAYED command and "handler" is the thread that handles all INSERT DELAYED statements for a selected table.

When a thread executes a DELAYED statement for a desk, a handler thread is created to procedure all DELAYED statements for the desk, if no such handler already exists.

The thread checks whether or not the handler has received a DELAYED lock already; if now not, it tells the handler thread to do so. The DELAYED lock can also be received although different threads have a READ or WRITE lock on the table. However, the handler will wait for all ALTER TABLE locks or FLUSH TABLES to be sure that the table structure is up-to-the-minute.

The thread executes the INSERT observation, however instead of writing the row to the desk, it places a duplicate of the final row into a queue that is managed by the handler thread. Any syntax mistakes are spotted by means of the thread and reported to the client program.

The consumer can't file the number of duplicates or the AUTO_INCREMENT worth for the resulting row; it can't download them from the server because the INSERT returns ahead of the insert operation has been completed. If you employ the C API, the mysql_info( ) serve as doesn't go back anything else significant, for the same reason.

The update log is up to date by way of the handler thread when the row is inserted into the table. In case of multiple-row inserts, the update log is updated when the first row is inserted.

After every delayed_insert_limit row is written, the handler exams whether or not any SELECT statements are still pending. If so, it lets in those to execute sooner than continuing.

When the handler has no more rows in its queue, the desk is unlocked. If no new INSERT DELAYED instructions are received inside delayed_insert_timeout seconds, the handler terminates.

If more than delayed_queue_size rows are pending already in a particular handler queue, the thread soliciting for INSERT DELAYED waits until there is room in the queue. This is done to make certain that the mysqld server doesn't use all memory for the delayed memory queue.

The handler thread will display up in the MySQL process checklist with delayed_insert in the Command column. It will be killed if you happen to execute a FLUSH TABLES command or kill it with KILL thread_id. However, it's going to first retailer all queued rows into the desk prior to exiting. During this time it'll not settle for any new INSERT instructions from any other thread. If you execute an INSERT DELAYED command after this, a new handler thread will probably be created.

Note that which means INSERT DELAYED instructions have higher priority than commonplace INSERT commands if an INSERT DELAYED handler is already running! Other update commands must wait until the INSERT DELAYED queue is empty, someone kills the handler thread (with KILL thread_id), or any person executes FLUSH TABLES.

The following reputation variables supply details about INSERT DELAYED instructions:

Variable

Meaning

Delayed_insert_threads

Number of handler threads

Delayed_writes

Number of rows written with INSERT DELAYED

Not_flushed_delayed_rows

Number of rows ready to be written

You can view these variables by issuing a SHOW STATUS remark or by way of executing a mysqladmin extended-status command.

Note that INSERT DELAYED is slower than an ordinary INSERT if the table is no longer in use. There is also the further overhead for the server to handle a separate thread for every desk on which you employ INSERT DELAYED. This signifies that you should handiest use INSERT DELAYED when you find yourself in point of fact sure you wish to have it!

UPDATE Syntax

UPDATE [LOW_PRIORITY] [IGNORE] tbl_name SET col_name1=expr1 [, col_name2=expr2, ...] [WHERE where_definition] [LIMIT #]

UPDATE updates columns in present desk rows with new values. The SET clause indicates which columns to modify and the values they will have to be given. The WHERE clause, if given, specifies which rows should be updated. Otherwise, all rows are up to date. If the ORDER BY clause is specified, the rows will be up to date in the order that is specified.

If you specify the keyword LOW_PRIORITY, execution of the UPDATE is not on time till no different shoppers are studying from the table.

If you specify the keyword IGNORE, the update commentary is not going to abort despite the fact that we get reproduction key errors right through the update. Rows that would reason conflicts will not be up to date.

If you get admission to a column from tbl_name in an expression, UPDATE uses the present value of the column. For instance, the following observation sets the age column to at least one greater than its current value:

mysql> UPDATE persondata SET age=age+1;

UPDATE assignments are evaluated from left to proper. For instance, the following observation doubles the age column, then increments it:

mysql> UPDATE persondata SET age=age*2, age=age+1;

If you set a column to the value it currently has, MySQL notices this and doesn't update it.

UPDATE returns the quantity of rows that have been in reality modified. In MySQL Version 3.22 or later, the C API serve as mysql_info( ) returns the number of rows that have been matched and updated and the quantity of warnings that happened during the UPDATE.

In MySQL Version 3.23, you'll be able to use LIMIT # to make certain that only a given number of rows are modified.

DELETE Syntax

DELETE [LOW_PRIORITY | QUICK] FROM table_name [WHERE where_definition] [ORDER BY ...] [LIMIT rows] or DELETE [LOW_PRIORITY | QUICK] table_name[.*] [,table_name[.*] ...] FROM table-references [WHERE where_definition] or DELETE [LOW_PRIORITY | QUICK] FROM table_name[.*], [table_name[.*] ...] USING table-references [WHERE where_definition]

DELETE deletes rows from table_name that fulfill the situation given through where_definition, and returns the quantity of records deleted.

If you factor a DELETE with no WHERE clause, all rows are deleted. If you do this in AUTOCOMMIT mode, this works as TRUNCATE. See Section 6.4.7. In MySQL 3.23, DELETE with out a WHERE clause will go back 0 as the number of affected records.

If you really wish to understand how many information are deleted when you are deleting all rows, and are keen to undergo a pace penalty, you can use a DELETE commentary of this form:

mysql> DELETE FROM table_name WHERE 1>0;

Note that this is much slower than DELETE FROM table_name with out a WHERE clause as it deletes rows one at a time.

If you specify the keyword LOW_PRIORITY, execution of the DELETE is behind schedule until no other purchasers are studying from the table.

If you specify the note QUICK, the table handler is not going to merge index leaves all through delete, which would possibly speed up certain types of deletes.

In MyISAM tables, deleted information are maintained in a linked list and next INSERT operations reuse previous report positions. To reclaim unused space and scale back file-sizes, use the OPTIMIZE TABLE commentary or the myisamchk application to reorganise tables. OPTIMIZE TABLE is more straightforward, but myisamchk is sooner. See Section 4.5.1 and Section 4.4.6.10.

The first multi-table delete layout is supported ranging from MySQL 4.0.0. The 2nd multi-table delete structure is supported starting from MySQL 4.0.2.

The idea is that only matching rows from the tables listed prior to the FROM or earlier than the USING clause are deleted. The effect is that you'll be able to delete rows from many tables at the similar time and still have further tables that are used for looking out.

The .* after the table names is there simply to be appropriate with Access:

DELETE t1,t2 FROM t1,t2,t3 WHERE t1.identity=t2.id AND t2.identification=t3.identification or DELETE FROM t1,t2 USING t1,t2,t3 WHERE t1.identification=t2.identification AND t2.identification=t3.identity

In the previous case we delete matching rows simply from tables t1 and t2.

ORDER BY and the use of a number of tables in the DELETE commentary are supported in MySQL 4.0.

If an ORDER BY clause is used, the rows shall be deleted in that order. This is truly handiest useful along with LIMIT. For instance:

DELETE FROM somelog WHERE consumer = 'jcole' ORDER BY timestamp LIMIT 1

This will delete the oldest access (by timestamp) the place the row suits the WHERE clause.

The MySQL-specific LIMIT rows approach to DELETE tells the server the most number of rows to be deleted prior to regulate is returned to the consumer. This can be used to make sure that a selected DELETE command doesn't take too much time. You can simply repeat the DELETE command till the number of affected rows is not up to the LIMIT worth.

TRUNCATE Syntax

TRUNCATE TABLE table_name

In 3.23 TRUNCATE TABLE is mapped to COMMIT ; DELETE FROM table_name. See Section 6.4.6.

TRUNCATE TABLE differs from DELETE FROM ... in the following ways:

Truncate operations drop and re-create the table, which is a lot sooner than deleting rows one by one.

Not transaction-safe; you're going to get an error when you've got an active transaction or an energetic table lock.

Doesn't return the number of deleted rows.

As long as the desk definition dossier table_name.frm is valid, the table may also be re-created this way, even though the information or index information have turn out to be corrupted.

TRUNCATE is an Oracle SQL extension.

REPLACE Syntax

REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name [(col_name,...)] VALUES (expression,...),(...),... or REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name [(col_name,...)] SELECT ... or REPLACE [LOW_PRIORITY | DELAYED] [INTO] tbl_name SET col_name=expression, col_name=expression,...

REPLACE works precisely like INSERT, with the exception of that if an outdated report in the table has the similar value as a brand new file on a singular index, the previous file is deleted prior to the new document is inserted. See Section 6.4.3.

In other phrases, you'll be able to't get right of entry to the values of the previous row from a REPLACE statement. In some outdated MySQL variations it seemed that you need to do that, however that was once a trojan horse that has been corrected.

When you use a REPLACE command, mysql_affected_rows( ) will return 2 if the new row changed an old row. This is because one row was inserted and then the reproduction used to be deleted.

This truth makes it easy to determine whether or not REPLACE added or changed a row: check whether the affected-rows value is 1 (added) or 2 (replaced).

LOAD DATA INFILE Syntax

LOAD DATA [LOW_PRIORITY | CONCURRENT] [LOCAL] INFILE 'file_name.txt' [REPLACE | IGNORE] INTO TABLE tbl_name [FIELDS [TERMINATED BY '\t'] [[OPTIONALLY] ENCLOSED BY ''] [ESCAPED BY '\' ] ] [LINES TERMINATED BY '\n'] [IGNORE quantity LINES] [(col_name,...)]

The LOAD DATA INFILE commentary reads rows from a text file into a table at an overly high pace. If the LOCAL key phrase is specified, the file is read from the shopper host. If LOCAL is no longer specified, the file should be located on the server. (LOCAL is to be had in MySQL Version 3.22.6 or later.)

For security reasons, when reading textual content files located on the server, the recordsdata will have to both are living in the database directory or be readable through all. Also, to make use of LOAD DATA INFILE on server recordsdata, you should have the dossier privilege on the server host. See Section 4.2.7.

In MySQL 3.23.49 and MySQL 4.0.2 LOCAL will simplest paintings you probably have no longer began mysqld with --local-infile=0 or in case you have not enabled your consumer to toughen LOCAL. See Section 4.2.4.

If you specify the key phrase LOW_PRIORITY, execution of the LOAD DATA statement is behind schedule until no other purchasers are studying from the table.

If you specify the keyword CONCURRENT with a MyISAM desk, other threads can retrieve data from the desk while LOAD DATA is executing. Using this feature will, of course, affect the efficiency of LOAD DATA a little bit even supposing no different thread is the use of the table at the similar time.

Using LOCAL might be a bit slower than letting the server get right of entry to the files at once as a result of the contents of the file will have to travel from the shopper host to the server host. On the other hand, you do not need the dossier privilege to load native files.

If you are using MySQL ahead of Version 3.23.24 you can't read from a FIFO with LOAD DATA INFILE. If you wish to have to learn from a FIFO (for instance, the output from gunzip), use LOAD DATA LOCAL INFILE instead.

You too can load data information via the use of the mysqlimport software; it operates by means of sending a LOAD DATA INFILE command to the server. The --local option causes mysqlimport to learn information information from the shopper host. You can specify the --compress option to get better performance over sluggish networks if the client and server enhance the compressed protocol.

When finding files on the server host, the server uses the following laws:

If an absolute pathname is given, the server uses the pathname as is.

If a relative pathname with one or more leading components is given, the server searches for the dossier relative to the server's knowledge directory.

If a filename and not using a main elements is given, the server looks for the dossier in the database directory of the current database.

Note that those laws mean a file given as ./myfile.txt is learn from the server's information directory, while a dossier given as myfile.txt is learn from the database listing of the present database. For example, the following LOAD DATA commentary reads the file knowledge.txt from the database listing for db1 as a result of db1 is the current database, despite the fact that the commentary explicitly so much the dossier into a table in the db2 database:

mysql> USE db1; mysql> LOAD DATA INFILE "data.txt" INTO TABLE db2.my_table;

The REPLACE and IGNORE key phrases regulate handling of input records that copy current records on exotic key values. If you specify REPLACE, new rows change current rows that have the identical exotic key price. If you specify IGNORE, enter rows that duplicate an existing row on a singular key value are skipped. If you don't specify both possibility, an error occurs when a replica key price is discovered, and the leisure of the textual content file is ignored.

If you load data from a local dossier using the LOCAL keyword, the server has no solution to forestall transmission of the dossier in the middle of the operation, so the default bahavior is the similar as though IGNORE have been specified.

If you utilize LOAD DATA INFILE on an empty MyISAM desk, all non-unique indexes are created in a separate batch (like in REPAIR). This in most cases makes LOAD DATA INFILE much faster in case you have many indexes.

LOAD DATA INFILE is the supplement of SELECT ... INTO OUTFILE. See Section 6.4.1. To write knowledge from a database to a file, use SELECT ... INTO OUTFILE. To learn the dossier again into the database, use LOAD DATA INFILE. The syntax of the FIELDS and LINES clauses is the similar for both instructions. Both clauses are optional, but FIELDS will have to precede LINES if both are specified.

If you specify a FIELDS clause, every of its subclauses (TERMINATED BY, [OPTIONALLY] ENCLOSED BY, and ESCAPED BY) is also optional, aside from that you should specify no less than one of them.

If you don't specify a FIELDS clause, the defaults are the identical as if you happen to had written this:

FIELDS TERMINATED BY '\t' ENCLOSED BY '' ESCAPED BY '\'

If you don't specify a LINES clause, the default is the similar as if you had written this:

LINES TERMINATED BY '\n'

In other phrases, the defaults cause LOAD DATA INFILE to behave as follows when reading enter:

Look for line limitations at newlines.

Break traces into fields at tabs.

Do no longer be expecting fields to be enclosed inside any quoting characters.

Interpret occurrences of tab, newline, or \ preceded by means of \ as literal characters which are part of box values.

Conversely, the defaults reason SELECT ... INTO OUTFILE to behave as follows when writing output:

Write tabs between fields.

Do not enclose fields inside of any quoting characters.

Use \ to flee circumstances of tab, newline, or \ that happen inside of field values.

Write newlines at the ends of lines.

Note that to put in writing FIELDS ESCAPED BY '\', you will have to specify two backslashes for the worth to be learn as a unmarried backslash.

The IGNORE number LINES option can be used to forget about a header of column names at the start of the file:

mysql> LOAD DATA INFILE "/tmp/file_name" INTO TABLE take a look at IGNORE 1 LINES;

When you utilize SELECT ... INTO OUTFILE in tandem with LOAD DATA INFILE to put in writing information from a database right into a file and then learn the dossier back into the database later, the field and line handling choices for each commands must match. Otherwise, LOAD DATA INFILE won't interpret the contents of the file correctly. Suppose you employ SELECT ... INTO OUTFILE to jot down a dossier with fields delimited by way of commas:

mysql> SELECT * INTO OUTFILE 'knowledge.txt' -> FIELDS TERMINATED BY ',' -> FROM ...;

To learn the comma-delimited dossier back in, the proper commentary could be:

mysql> LOAD DATA INFILE 'knowledge.txt' INTO TABLE table2 -> FIELDS TERMINATED BY ',';

If instead you tried to read in the dossier with the following observation, it wouldn't paintings because it instructs LOAD DATA INFILE to look for tabs between fields:

mysql> LOAD DATA INFILE 'information.txt' INTO TABLE table2 -> FIELDS TERMINATED BY '\t';

The most probably result is that every input line can be interpreted as a single box.

LOAD DATA INFILE can be utilized to learn information acquired from external resources, too. For example, a file in dBASE format will have fields separated by commas and enclosed in double quotes. If strains in the dossier are terminated by newlines, the following command illustrates the box and line dealing with choices you could possibly use to load the dossier:

mysql> LOAD DATA INFILE 'data.txt' INTO TABLE tbl_name -> FIELDS TERMINATED BY ',' ENCLOSED BY '"' -> LINES TERMINATED BY '\n';

Any of the field or line handling choices would possibly specify an empty string ("). If now not empty, the FIELDS [OPTIONALLY] ENCLOSED BY and FIELDS ESCAPED BY values will have to be a unmarried character. The FIELDS TERMINATED BY and LINES TERMINATED BY values might be a couple of persona. For example, to write down strains which might be terminated via carriage return-linefeed pairs, or to read a dossier containing such lines, specify a LINES TERMINATED BY '\r\n' clause.

For example, to read right into a SQL desk a file of jokes which might be separated with a line of %%, you'll do:

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" (funny story);

FIELDS [OPTIONALLY] ENCLOSED BY controls quoting of fields. For output (SELECT ... INTO OUTFILE), in the event you put out of your mind the be aware OPTIONALLY, all fields are enclosed through the ENCLOSED BY persona. An example of such output (the usage of a comma as the field delimiter) is proven right 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 persona is used only to enclose CHAR and VARCHAR fields:

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

Note that occurrences of the ENCLOSED BY personality within a field price are escaped by way of prefixing them with the ESCAPED BY character. Also word that if you specify an empty ESCAPED BY worth, it is conceivable to generate output that cannot be read properly by means of LOAD DATA INFILE. For instance, the previous output would appear as follows if the break out personality is empty. Observe that the second box in the fourth line comprises a comma following the quote, which (erroneously) seems to terminate the box:

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 enter, the ENCLOSED BY persona, if present, is stripped from the ends of box values. (This is true whether or not OPTIONALLY is specified; OPTIONALLY has no effect on input interpretation.) Occurrences of the ENCLOSED BY character preceded by means of the ESCAPED BY character are interpreted as section of the current field value. In addition, duplicated ENCLOSED BY characters going on within fields are interpreted as unmarried ENCLOSED BY characters if the box itself starts with that personality. For instance, if ENCLOSED BY '"' is specified, quotes 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 find out how to write or read particular characters. If the FIELDS ESCAPED BY character is now 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 personality of the FIELDS TERMINATED BY and LINES TERMINATED BY values.

ASCII 0 (what is in reality written following the break out character is ASCII '0', now not a zero-valued byte).

If the FIELDS ESCAPED BY persona is empty, no characters are escaped. It is probably now not a good suggestion to specify an empty break out character, in particular if field values in your data comprise any of the characters in the record just given.

For enter, if the FIELDS ESCAPED BY character is not empty, occurrences of that character are stripped and the following personality is taken actually as part of a box value. The exceptions are an escaped 0 or N (for example, [scrape_url:1]

{title}

{content}

[/scrape_url] or \N if the escape persona is \). These sequences are interpreted as ASCII 0 (a zero-valued byte) and NULL.

For more information about \-escape syntax, see Section 6.1.1.

In certain instances, box and line dealing with choices interact:

If LINES TERMINATED BY is an empty string and FIELDS TERMINATED BY is non-empty, strains also are terminated with FIELDS TERMINATED BY.

If the FIELDS TERMINATED BY and FIELDS ENCLOSED BY values are both empty ("), a fixed-row (non-delimited) layout is used. With fixed-row structure, no delimiters are used between fields. Instead, column values are written and skim the use of the "show" widths of the columns. For instance, if a column is declared as INT(7), values for the column are written the use of 7-character fields. On enter, values for the column are acquired by way of studying 7 characters. Fixed-row format also affects handling of NULL values. Note that fixed-size format is not going to paintings if you are the use of a multi-byte personality set.

Handling of NULL values varies, depending on the FIELDS and LINES options you utilize:

For the default FIELDS and LINES values, NULL is written as \N for output and \N is read as NULL for enter (assuming the ESCAPED BY character is \).

If FIELDS ENCLOSED BY is now not empty, a box containing the literal word NULL as its value is learn as a NULL worth (this differs from the word NULL enclosed inside of FIELDS ENCLOSED BY characters, which is read as the string 'NULL').

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

With fixed-row structure (which occurs when FIELDS TERMINATED BY and FIELDS ENCLOSED BY are both empty), NULL is written as an empty string. Note that this causes both NULL values and empty strings in the desk to be indistinguishable when written to the dossier because they are each written as empty strings. If you need to be able to tell the two apart when studying the dossier again in, you will have to now not use fixed-row format.

Some instances are not supported by LOAD DATA INFILE:

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 identical as or a prefix of some other, LOAD DATA INFILE won't have the ability to interpret the enter correctly. For instance, the following FIELDS clause would reason issues:

FIELDS TERMINATED BY '"' ENCLOSED BY '"'

If FIELDS ESCAPED BY is empty, a box worth that incorporates an prevalence of FIELDS ENCLOSED BY or LINES TERMINATED BY adopted by means of the FIELDS TERMINATED BY value will purpose LOAD DATA INFILE to forestall studying a box or line too early. This happens as a result of LOAD DATA INFILE can't correctly resolve the place the box or line value ends.

The following instance quite a bit all columns of the persondata table:

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

No box checklist is specified, so LOAD DATA INFILE expects input rows to contain a field for every desk column. The default FIELDS and LINES values are used.

If you need to load just a few of a table's columns, specify a field record:

mysql> LOAD DATA INFILE 'persondata.txt' -> INTO TABLE persondata (col1,col2,...);

You must additionally specify a field listing if the order of the fields in the enter file differs from the order of the columns in the desk. Otherwise, MySQL can't inform tips on how to match up input fields with desk columns.

If a row has too few fields, the columns for which no enter box is present are set to default values. Default price project is described in Section 6.5.3.

An empty box price is interpreted another way than if the box worth is missing:

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

For numeric varieties, the column is set to 0.

For date and time sorts, the column is set to the appropriate "0" value for the type. See Section 6.2.2.

Note that these are the similar values that consequence for those who assign an empty string explicitly to a string, numeric, or date, or in the event you assign a time kind explicitly in an INSERT or UPDATE statement.

TIMESTAMP columns are most effective set to the present date and time if there is a NULL value for the column, or (for the first TIMESTAMP column handiest) if the TIMESTAMP column is unnoticed from the box list when a box list is specified.

If an enter row has too many fields, the extra fields are not noted and the quantity of warnings is incremented.

LOAD DATA INFILE regards all input as strings, so you'll be able to't use numeric values for ENUM or SET columns the means you'll be able to with INSERT statements. All ENUM and SET values must be specified as strings!

If you might be the use of the C API, you'll get information about the question by way of calling the API function mysql_info( ) when the LOAD DATA INFILE query finishes. The structure of the data string is shown here:

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

Warnings happen beneath the same cases as when values are inserted via the INSERT commentary (see Section 6.4.3), except for that LOAD DATA INFILE also generates warnings when there are too few or too many fields in the input row. The warnings don't seem to be stored any place; the quantity of warnings can best be used as a sign if everything went well. If you get warnings and want to know exactly why you were given them, a technique to do this is to use SELECT ... INTO OUTFILE into any other file and examine this on your original input dossier.

If you want LOAD DATA to read from a pipe, you can use the following trick:

mkfifo /mysql/db/x/x chmod 666 /mysql/db/x/x cat < /dev/tcp/10.1.1.12/4711 > /nt/mysql/db/x/x mysql -e "LOAD DATA INFILE 'x' INTO TABLE x" x

If you might be the use of a model of MySQL older than 3.23.25 you'll be able to handiest do this with LOAD DATA LOCAL INFILE.

For extra information about the potency of INSERT versus LOAD DATA INFILE and speeding up LOAD DATA INFILE, see Section 5.2.9.