Access phpMyAdmin and select your database. Then click on SQL, place the following query and click on Go: ALTER TABLE my_table ENGINE = InnoDB;. If the query is. To convert a table from one storage engine to another, use an ALTER TABLE statement that indicates the new engine: ALTER TABLE t ENGINE = InnoDB;. To access the MySQL Table Editor, right-click a table name in the Navigator area of the sidebar with the Schemas secondary tab selected and click Alter Table. ZIP ZOOM ENGLISH FREE DOWNLOADS
For example, if you insert related pieces of information into several tables, do a single COMMIT after making all the changes. For related information, see Section A deadlock is not a serious issue for InnoDB tables, and often does not require any corrective action. When two transactions start modifying multiple tables, accessing the tables in a different order, they can reach a state where each transaction is waiting for the other and neither can proceed.
Either way, your applications need error-handling logic to restart a transaction that is forcibly cancelled due to a deadlock. When you re-issue the same SQL statements as before, the original timing issue no longer applies. Either the other transaction has already finished and yours can proceed, or the other transaction is still in progress and your transaction waits until it finishes.
If deadlock warnings occur constantly, you might review the application code to reorder the SQL operations in a consistent way, or to shorten the transactions. For more information, see Section To get the best performance from InnoDB tables, you can adjust a number of parameters related to storage layout.
When this setting is enabled, which is the default, new InnoDB tables are implicitly created in file-per-table tablespaces. In contrast with the InnoDB system tablespace, file-per-table tablespaces allow disk space to be reclaimed by the operating system when a table is truncated or dropped.
You can also store InnoDB tables in a shared general tablespace, which support multiple tables and all row formats. Create an empty InnoDB table with identical column and index definitions. You can also create the indexes for the InnoDB table after inserting the data. Historically, creating new secondary indexes was a slow operation for InnoDB , but now you can create the indexes after the data is loaded with relatively little overhead from the index creation step.
If you have UNIQUE constraints on secondary keys, you can speed up a table import by turning off the uniqueness checks temporarily during the import operation:. Be certain that the data contains no duplicate keys. Typically, the recommended buffer pool size is 50 to 75 percent of system memory.
You can also increase the size of InnoDB log files. If you intend to make several temporary copies of your data in InnoDB tables during the conversion process, it is recommended that you create the tables in file-per-table tablespaces so that you can reclaim the disk space when you drop the tables. Whether you convert the MyISAM table directly or create a cloned InnoDB table, make sure that you have sufficient disk space to hold both the old and new tables during the process.
For inserts, InnoDB uses the insert buffer to merge secondary index records to indexes in batches. For rollback, no such mechanism is used, and the rollback can take 30 times longer than the insertion. For the complete procedure, see Section The primary key uniquely identifies a row in a table. Every row in the table should have a primary key value, and no two rows can have the same primary key value. Typically, it is the most important column that you refer to in WHERE clauses when looking up a single row.
Choose the column and its data type carefully. Prefer numeric columns over character or string ones. Consider using an auto-increment column if there is not another stable, unique, non-null, numeric column to use. An auto-increment column is also a good choice if there is any doubt whether the value of the primary key column could ever change. Changing the value of a primary key column is an expensive operation, possibly involving rearranging data within the table and within each secondary index.
Consider adding a primary key to any table that does not already have one. Use the smallest practical numeric type based on the maximum projected size of the table. This can make each row slightly more compact, which can yield substantial space savings for large tables. The space savings are multiplied if the table has any secondary indexes , because the primary key value is repeated in each secondary index entry. In addition to reducing data size on disk, a small primary key also lets more data fit into the buffer pool , speeding up all kinds of operations and improving concurrency.
This design change can produce substantial space savings in the secondary indexes. If you spread related information across multiple tables, typically each table uses the same column for its primary key. For example, a personnel database might have several tables, each with a primary key of employee number. A sales database might have some tables with a primary key of customer number, and other tables with a primary key of order number.
Because lookups using the primary key are very fast, you can construct efficient join queries for such tables. It is a 6-byte value that might be longer than you need, thus wasting space. Because it is hidden, you cannot refer to it in queries. If you set up a numeric ID column for the primary key, use that value to cross-reference with related values in any other tables, particularly for join queries.
For example, rather than accepting a country name as input and doing queries searching for the same name, do one lookup to determine the country ID, then do other queries or a single join query to look up relevant information across several tables.
Rather than storing a customer or catalog item number as a string of digits, potentially using up several bytes, convert it to a numeric ID for storing and querying. A 4-byte unsigned INT column can index over 4 billion items with the US meaning of billion: million. For the ranges of the different integer types, see Section You must not delete the ibdata files that represent the InnoDB system tablespace.
Methods of moving or copying InnoDB tables to a different server are described in Section Testing and Benchmarking with InnoDB. InnoDB Multi-Versioning. Creating Tables Externally. Clustered and Secondary Indexes. The System Tablespace. File-Per-Table Tablespaces. See Section If you try to use a storage engine that is not compiled in or that is compiled in but deactivated, MySQL instead creates a table using the default storage engine.
For example, in a replication setup, perhaps your source server uses InnoDB tables for maximum safety, but the replica servers use other storage engines for speed at the expense of durability or concurrency. If the desired engine is unavailable, this setting produces an error instead of a warning, and the table is not created or altered.
See Section 5. For new tables, MySQL always creates an. The table's index and data may be stored in one or more other files, depending on the storage engine. The server creates the. Individual storage engines create any additional files required for the tables that they manage.
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