Loading Docs/internals.texi +193 −104 Original line number Diff line number Diff line Loading @@ -20,6 +20,7 @@ @set _body_tags BGCOLOR=#FFFFFF TEXT=#000000 LINK=#101090 VLINK=#7030B0 @settitle @strong{MySQL} internals Manual for version @value{mysql_version}. @setchapternewpage off @paragraphindent 0 @c %**end of header @ifinfo Loading @@ -32,7 +33,7 @@ END-INFO-DIR-ENTRY @titlepage @sp 10 @center @titlefont{@strong{MySQL} Internals Manual.} @center @titlefont{@strong{MySQL} Internals Manual} @sp 10 @center Copyright @copyright{} 1998 TcX AB, Detron HB and Monty Program KB @end titlepage Loading @@ -49,30 +50,33 @@ This is a manual about @strong{MySQL} internals. @node caching @chapter How MySQL handles caching MySQL has the following caches: @strong{MySQL} has the following caches: (Note that the some of the filename have a wrong spelling of cache. :) @itemize @bullet @item Key cache A shared cache for all B-tree index blocks in the different NISAM files. Uses hashing and reverse linked lists for quick caching of the last used blocks and quick flushing of changed entries for a specific table. mysys/mf_keycash.c table. (@file{mysys/mf_keycash.c}) @item Record cache This is used for quick scanning of all records in a table. mysys/mf_iocash.c and isam/_cash.c (@file{mysys/mf_iocash.c} and @file{isam/_cash.c}) @item Table cache This holds the last used tables. sql/sql_base.cc This holds the last used tables. (@file{sql/sql_base.cc}) @item Hostname cache For quick lookup (with reverse name resolving). Is a must when one has a slow DNS. sql/hostname.cc slow DNS. (@file{sql/hostname.cc}) @item Privilege cache To allow quick change between databases the last used privileges are cached for each user/database combination. sql/sql_acl.cc cached for each user/database combination. (@file{sql/sql_acl.cc}) @item Heap table cache Many use of GROUP BY or DISTINCT caches all found Loading @@ -89,123 +93,208 @@ join caches in the worst case. @chapter How MySQL handles flush tables @itemize @bullet @item Flush tables is handled in @code{sql/sql_base.cc::close_cached_tables()}. @item Flush tables is handled in sql/sql_base.cc::close_cached_tables(). @Item The idea of flush tables is to force all tables to be closed. This is mainly to ensure that if someone adds a new table outside of MySQL (for example with 'cp') all threads will start using the new table. This will also ensure that all table changes are flushed to disk (but of course not as optimally as simple calling a sync on all tables)! @strong{MySQL} (for example with @code{cp}) all threads will start using the new table. This will also ensure that all table changes are flushed to disk (but of course not as optimally as simple calling a sync on all tables)! @item When one does a 'flush tables', the variable 'refresh_version' will be incremented. Every time a thread releases a table it checks if When one does a @code{FLUSH TABLES}, the variable @code{refresh_version} will be incremented. Every time a thread releases a table it checks if the refresh version of the table (updated at open) is the same as the current refresh_version. If not it will close it and broadcast a signal on COND_refresh (to wait any thread that is waiting for all instanses of a table to be closed). @item The current refresh_version is also compared to the open refresh_version after a thread gets a lock on a table. If the refresh version is different the thread will free all locks, reopen the table and try to get the locks again; This is just to quickly get all tables to use the newest version. This is handled by sql/lock.cc::mysql_lock_tables() and sql/sql_base.cc::wait_for_tables(). The current @code{refresh_version} is also compared to the open @code{refresh_version} after a thread gets a lock on a table. If the refresh version is different the thread will free all locks, reopen the table and try to get the locks again; This is just to quickly get all tables to use the newest version. This is handled by @code{sql/lock.cc::mysql_lock_tables()} and @code{sql/sql_base.cc::wait_for_tables()}. @item When all tables has been closed flush-tables will return an ok to client. When all tables has been closed @code{FLUSH TABLES} will return an ok to client. @item If the thread that is doing flush-table has a lock on some tables, it will first closes the locked tables, wait until all other threads have also closed these and then reopen these and get the locks. After this it will give other threads a possibility to open the same tables. If the thread that is doing @code{FLUSH TABLES} has a lock on some tables, it will first close the locked tables, then wait until all other threads have also closed them, and then reopen them and get the locks. After this it will give other threads a chance to open the same tables. @end itemize @node Filesort @chapter How MySQL does sorting (filesort) - Read all rows according to key or by table-scanning. - Store the sort-key in a buffer (sort_buffer). - When the buffer gets full, run a qsort on it and store the result @itemize @bullet @item Read all rows according to key or by table scanning. @item Store the sort-key in a buffer (@code{sort_buffer}). @item When the buffer gets full, run a qsort on it and store the result in a temporary file. Save a pointer to the sorted block. - Repeat the above until all rows have been read. - Repeat the following until there is less than MERGEBUFF2 (15) blocks left. - Do a multi-merge of up to MERGEBUFF (7) regions to one block in @item Repeat the above until all rows have been read. @item Repeat the following until there is less than @code{MERGEBUFF2} (15) blocks left. @item Do a multi-merge of up to @code{MERGEBUFF} (7) regions to one block in another temporary file. Repeat until all blocks from the first file are in the second file. - On the last multi-merge, only the pointer to the row (last part of @item On the last multi-merge, only the pointer to the row (last part of the sort-key) is written to a result file. - Now the code in sql/records.cc will be used to read through them @item Now the code in @file{sql/records.cc} will be used to read through them in sorted order by using the row pointers in the result file. To optimize this, we read in a big block of row pointers, sort these and then we read the rows in the sorted order into a row buffer (record_buffer) . (@code{record_buffer}) . @end itemize @node Coding guidelines @chapter Coding guidelines - We are using bitkeeper (www.bitkeeper.com) for source management. - You should use the MySQL 3.23 or MySQL 4.0 source for all developments. - If you have any questions about the MySQL source, you can post these to developers@mysql.com and we will answer them. @itemize @bullet @item We are using @uref{http://www.bitkeeper.com/, BitKeeper} for source management. @item You should use the @strong{MySQL} 3.23 or 4.0 source for all developments. @item If you have any questions about the @strong{MySQL} source, you can post these to @email{developers@@mysql.com} and we will answer them. Note that we will shortly change the name of this list to internals@mysql.com, to more accurately reflect what should be @email{internals@@mysql.com}, to more accurately reflect what should be posted to this list. - Try to write code in a lot of black boxes that can be reused or at least have a clean interface - Reuse code; There is already in MySQL a lot of algorithms for list handling, queues, dynamic and hashed arrays, sorting...) that can be reused. - Try to always write optimized code, so that you don't have to @item Try to write code in a lot of black boxes that can be reused or at least have a clean interface. @item Reuse code; There is already a lot of algorithms in MySQL for list handling, queues, dynamic and hashed arrays, sorting, etc. that can be reused. @item Try to always write optimized code, so that you don't have to go back and rewrite it a couple of months later. It's better to spend 3 times as much time designing and writing and optimal function than spend 3 times as much time designing and writing an optimal function than having to do it all over again later on. - Avoid CPU wasteful code, even where it does not matter, so that @item Avoid CPU wasteful code, even where it does not matter, so that you will not develop sloppy coding habits. - If you can write it in fewer lines, do it (as long as the code will not be slower or much harder to read) - do not check the same pointer for NULL more than once. - Use long function and variable names in English; This makes your @item If you can write it in fewer lines, do it (as long as the code will not be slower or much harder to read). @item Do not check the same pointer for @code{NULL} more than once. @item Use long function and variable names in English; This makes your code easier to read. - Think assembly - make it easier for the compiler to optimize your code. - Comment your code when you do something that someone else may think is 'not trivial'. - Use the my_ functions like my_read/my_write/my_malloc() that you can find in the mysys library instead of the direct system calls; This will make your code easier to debug and more portable. - use libstring functions instead of standard libc string functions whenever possible - Avoid using alloc (its REAL slow); For memory allocations that only needs to live for the lifetime of one thread, on should use sql_alloc() instead. - Before doing big design decision, please first post a summary of what you want to do, why you want to do it and how you plan to do @item Think assembly - make it easier for the compiler to optimize your code. @item Comment your code when you do something that someone else may think is not ''trivial''. @item Use the @code{my_*} functions like @code{my_read()}/@code{my_write()}/ @code{my_malloc()} that you can find in the @code{mysys} library instead of the direct system calls; This will make your code easier to debug and more portable. @item Use @code{libstring} functions instead of standard libc string functions whenever possible. @item Avoid using @code{malloc()} (its REAL slow); For memory allocations that only need to live for the lifetime of one thread, one should use @code{sql_alloc()} instead. @item Before making big design decisions, please first post a summary of what you want to do, why you want to do it, and how you plan to do it. This way we can easily provide you with feedback and also easily discuss is throughly if some other developer thinks there is better easily discuss it thoroughly if some other developer thinks there is better way to do the same thing! - Use my_var as opposed to myVar or MyVar ( _ rather than dancing SHIFT to spearate words in identifiers) - class names start with a capital - structure types are typedefed to all caps identifier - #defines are capitalized - matching { are in the same column - functions return 0 on success , non-zero on error, so you can do @item Use my_var as opposed to myVar or MyVar (@samp{_} rather than dancing SHIFT to seperate words in identifiers). @item Class names start with a capital letter. @item Structure types are @code{typedef}'ed to an all-caps identifier. @item Any @code{#define}'s are in all-caps. @item Matching @samp{@{} are in the same column. @item Functions return 0 on success, and non-zero on error, so you can do: @example if(a() || b() || c()) { error("something went wrong"); } - goto is ok if not abused - avoid default variable initalizations, use LINT_INIT() if the @end example @item Using @code{goto} is okay if not abused. @item Avoid default variable initalizations, use @code{LINT_INIT()} if the compiler complains after making sure that there is really no way the variable can be used uninitialized - Do not instantiate a class if you do not have to - Use pointers rather than array indexing when operating on strings the variable can be used uninitialized. @item Do not instantiate a class if you do not have to. @item Use pointers rather than array indexing when operating on strings. @end itemize @c The Index was empty, and ugly, so I removed it. (jcole, Sep 7, 2000) @node Index @unnumbered Index @c @node Index @c @unnumbered Index @printindex fn @c @printindex fn @summarycontents @contents Loading Loading
Docs/internals.texi +193 −104 Original line number Diff line number Diff line Loading @@ -20,6 +20,7 @@ @set _body_tags BGCOLOR=#FFFFFF TEXT=#000000 LINK=#101090 VLINK=#7030B0 @settitle @strong{MySQL} internals Manual for version @value{mysql_version}. @setchapternewpage off @paragraphindent 0 @c %**end of header @ifinfo Loading @@ -32,7 +33,7 @@ END-INFO-DIR-ENTRY @titlepage @sp 10 @center @titlefont{@strong{MySQL} Internals Manual.} @center @titlefont{@strong{MySQL} Internals Manual} @sp 10 @center Copyright @copyright{} 1998 TcX AB, Detron HB and Monty Program KB @end titlepage Loading @@ -49,30 +50,33 @@ This is a manual about @strong{MySQL} internals. @node caching @chapter How MySQL handles caching MySQL has the following caches: @strong{MySQL} has the following caches: (Note that the some of the filename have a wrong spelling of cache. :) @itemize @bullet @item Key cache A shared cache for all B-tree index blocks in the different NISAM files. Uses hashing and reverse linked lists for quick caching of the last used blocks and quick flushing of changed entries for a specific table. mysys/mf_keycash.c table. (@file{mysys/mf_keycash.c}) @item Record cache This is used for quick scanning of all records in a table. mysys/mf_iocash.c and isam/_cash.c (@file{mysys/mf_iocash.c} and @file{isam/_cash.c}) @item Table cache This holds the last used tables. sql/sql_base.cc This holds the last used tables. (@file{sql/sql_base.cc}) @item Hostname cache For quick lookup (with reverse name resolving). Is a must when one has a slow DNS. sql/hostname.cc slow DNS. (@file{sql/hostname.cc}) @item Privilege cache To allow quick change between databases the last used privileges are cached for each user/database combination. sql/sql_acl.cc cached for each user/database combination. (@file{sql/sql_acl.cc}) @item Heap table cache Many use of GROUP BY or DISTINCT caches all found Loading @@ -89,123 +93,208 @@ join caches in the worst case. @chapter How MySQL handles flush tables @itemize @bullet @item Flush tables is handled in @code{sql/sql_base.cc::close_cached_tables()}. @item Flush tables is handled in sql/sql_base.cc::close_cached_tables(). @Item The idea of flush tables is to force all tables to be closed. This is mainly to ensure that if someone adds a new table outside of MySQL (for example with 'cp') all threads will start using the new table. This will also ensure that all table changes are flushed to disk (but of course not as optimally as simple calling a sync on all tables)! @strong{MySQL} (for example with @code{cp}) all threads will start using the new table. This will also ensure that all table changes are flushed to disk (but of course not as optimally as simple calling a sync on all tables)! @item When one does a 'flush tables', the variable 'refresh_version' will be incremented. Every time a thread releases a table it checks if When one does a @code{FLUSH TABLES}, the variable @code{refresh_version} will be incremented. Every time a thread releases a table it checks if the refresh version of the table (updated at open) is the same as the current refresh_version. If not it will close it and broadcast a signal on COND_refresh (to wait any thread that is waiting for all instanses of a table to be closed). @item The current refresh_version is also compared to the open refresh_version after a thread gets a lock on a table. If the refresh version is different the thread will free all locks, reopen the table and try to get the locks again; This is just to quickly get all tables to use the newest version. This is handled by sql/lock.cc::mysql_lock_tables() and sql/sql_base.cc::wait_for_tables(). The current @code{refresh_version} is also compared to the open @code{refresh_version} after a thread gets a lock on a table. If the refresh version is different the thread will free all locks, reopen the table and try to get the locks again; This is just to quickly get all tables to use the newest version. This is handled by @code{sql/lock.cc::mysql_lock_tables()} and @code{sql/sql_base.cc::wait_for_tables()}. @item When all tables has been closed flush-tables will return an ok to client. When all tables has been closed @code{FLUSH TABLES} will return an ok to client. @item If the thread that is doing flush-table has a lock on some tables, it will first closes the locked tables, wait until all other threads have also closed these and then reopen these and get the locks. After this it will give other threads a possibility to open the same tables. If the thread that is doing @code{FLUSH TABLES} has a lock on some tables, it will first close the locked tables, then wait until all other threads have also closed them, and then reopen them and get the locks. After this it will give other threads a chance to open the same tables. @end itemize @node Filesort @chapter How MySQL does sorting (filesort) - Read all rows according to key or by table-scanning. - Store the sort-key in a buffer (sort_buffer). - When the buffer gets full, run a qsort on it and store the result @itemize @bullet @item Read all rows according to key or by table scanning. @item Store the sort-key in a buffer (@code{sort_buffer}). @item When the buffer gets full, run a qsort on it and store the result in a temporary file. Save a pointer to the sorted block. - Repeat the above until all rows have been read. - Repeat the following until there is less than MERGEBUFF2 (15) blocks left. - Do a multi-merge of up to MERGEBUFF (7) regions to one block in @item Repeat the above until all rows have been read. @item Repeat the following until there is less than @code{MERGEBUFF2} (15) blocks left. @item Do a multi-merge of up to @code{MERGEBUFF} (7) regions to one block in another temporary file. Repeat until all blocks from the first file are in the second file. - On the last multi-merge, only the pointer to the row (last part of @item On the last multi-merge, only the pointer to the row (last part of the sort-key) is written to a result file. - Now the code in sql/records.cc will be used to read through them @item Now the code in @file{sql/records.cc} will be used to read through them in sorted order by using the row pointers in the result file. To optimize this, we read in a big block of row pointers, sort these and then we read the rows in the sorted order into a row buffer (record_buffer) . (@code{record_buffer}) . @end itemize @node Coding guidelines @chapter Coding guidelines - We are using bitkeeper (www.bitkeeper.com) for source management. - You should use the MySQL 3.23 or MySQL 4.0 source for all developments. - If you have any questions about the MySQL source, you can post these to developers@mysql.com and we will answer them. @itemize @bullet @item We are using @uref{http://www.bitkeeper.com/, BitKeeper} for source management. @item You should use the @strong{MySQL} 3.23 or 4.0 source for all developments. @item If you have any questions about the @strong{MySQL} source, you can post these to @email{developers@@mysql.com} and we will answer them. Note that we will shortly change the name of this list to internals@mysql.com, to more accurately reflect what should be @email{internals@@mysql.com}, to more accurately reflect what should be posted to this list. - Try to write code in a lot of black boxes that can be reused or at least have a clean interface - Reuse code; There is already in MySQL a lot of algorithms for list handling, queues, dynamic and hashed arrays, sorting...) that can be reused. - Try to always write optimized code, so that you don't have to @item Try to write code in a lot of black boxes that can be reused or at least have a clean interface. @item Reuse code; There is already a lot of algorithms in MySQL for list handling, queues, dynamic and hashed arrays, sorting, etc. that can be reused. @item Try to always write optimized code, so that you don't have to go back and rewrite it a couple of months later. It's better to spend 3 times as much time designing and writing and optimal function than spend 3 times as much time designing and writing an optimal function than having to do it all over again later on. - Avoid CPU wasteful code, even where it does not matter, so that @item Avoid CPU wasteful code, even where it does not matter, so that you will not develop sloppy coding habits. - If you can write it in fewer lines, do it (as long as the code will not be slower or much harder to read) - do not check the same pointer for NULL more than once. - Use long function and variable names in English; This makes your @item If you can write it in fewer lines, do it (as long as the code will not be slower or much harder to read). @item Do not check the same pointer for @code{NULL} more than once. @item Use long function and variable names in English; This makes your code easier to read. - Think assembly - make it easier for the compiler to optimize your code. - Comment your code when you do something that someone else may think is 'not trivial'. - Use the my_ functions like my_read/my_write/my_malloc() that you can find in the mysys library instead of the direct system calls; This will make your code easier to debug and more portable. - use libstring functions instead of standard libc string functions whenever possible - Avoid using alloc (its REAL slow); For memory allocations that only needs to live for the lifetime of one thread, on should use sql_alloc() instead. - Before doing big design decision, please first post a summary of what you want to do, why you want to do it and how you plan to do @item Think assembly - make it easier for the compiler to optimize your code. @item Comment your code when you do something that someone else may think is not ''trivial''. @item Use the @code{my_*} functions like @code{my_read()}/@code{my_write()}/ @code{my_malloc()} that you can find in the @code{mysys} library instead of the direct system calls; This will make your code easier to debug and more portable. @item Use @code{libstring} functions instead of standard libc string functions whenever possible. @item Avoid using @code{malloc()} (its REAL slow); For memory allocations that only need to live for the lifetime of one thread, one should use @code{sql_alloc()} instead. @item Before making big design decisions, please first post a summary of what you want to do, why you want to do it, and how you plan to do it. This way we can easily provide you with feedback and also easily discuss is throughly if some other developer thinks there is better easily discuss it thoroughly if some other developer thinks there is better way to do the same thing! - Use my_var as opposed to myVar or MyVar ( _ rather than dancing SHIFT to spearate words in identifiers) - class names start with a capital - structure types are typedefed to all caps identifier - #defines are capitalized - matching { are in the same column - functions return 0 on success , non-zero on error, so you can do @item Use my_var as opposed to myVar or MyVar (@samp{_} rather than dancing SHIFT to seperate words in identifiers). @item Class names start with a capital letter. @item Structure types are @code{typedef}'ed to an all-caps identifier. @item Any @code{#define}'s are in all-caps. @item Matching @samp{@{} are in the same column. @item Functions return 0 on success, and non-zero on error, so you can do: @example if(a() || b() || c()) { error("something went wrong"); } - goto is ok if not abused - avoid default variable initalizations, use LINT_INIT() if the @end example @item Using @code{goto} is okay if not abused. @item Avoid default variable initalizations, use @code{LINT_INIT()} if the compiler complains after making sure that there is really no way the variable can be used uninitialized - Do not instantiate a class if you do not have to - Use pointers rather than array indexing when operating on strings the variable can be used uninitialized. @item Do not instantiate a class if you do not have to. @item Use pointers rather than array indexing when operating on strings. @end itemize @c The Index was empty, and ugly, so I removed it. (jcole, Sep 7, 2000) @node Index @unnumbered Index @c @node Index @c @unnumbered Index @printindex fn @c @printindex fn @summarycontents @contents Loading