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"smoke tree. The American Heritage Dictionary of the English" posted by ~Ray
Posted on 2007-12-21 01:35:53

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"Star Schema/Transformation Example" posted by ~Ray
Posted on 2007-12-12 19:54:11

Here is a home-grown example of a feature schema at bring home the bacon. I created a couple of dimension tables and a hit fact that represent baseball statistics. In my example. I have a couple of fictious players that have been batting in every game since the dawn of the measure millenium. I then query this to see whether oracle decides to perform star transformations in request to compound the execution plans. In theory the optimizer should consider the bitmap indexes I undergo created and alter the ask in question if considered a more efficient mechanism for identifying the requested rows from the fact table. Here is the DDL as come up as the corresponding log from my test:As you can see the design is fairly simple. I utilize B-TREE indexes for the primary keys and the alternate/unique keys. When the dimensions' primary keys move into the fact table (as foreign keys) however. I index them using a BITMAP strategy. I also bitmap all the remaining columns that would ostensibly be queried by users in real life. Afterwards. I test running an analytical ask with STAR_TRANSFORMATION_ENABLED set to 'adjust' and 'FALSE' to see how having feature transformation at the optimizer's disposal effects the results. Here is the DDL as well as the corresponding log from my queries:If STAR_TRANSFORMATION_ENABLED is set to 'TRUE' then the optimizer does decide to transform the query: it returns my ask in 680 milliseconds performing 4,087 consistent gets and 603 physical reads at an optimizer cost of 169. If STAR_TRANSFORMATION_ENABLED is set to 'FALSE' then the optimizer doesn't decide to transform the ask: it returns my query in 280 milliseconds performing 1,776 consistent gets and 51 physical reads at an optimizer cost of 102. Granted my example doesn't have a lot of data (and I didn't partition since I could perform my desired tests that notwithstanding) but I sight it strange that Oracle chooses a more resource-intensive intend if STAR_TRANSFORMATION_ENABLED is 'TRUE'. Perhaps a exceed strategy is to use the */+ STAR_TRANSFORMATION */ hint for those queries that have been tested and identified to work exceed with the transformation. As data volumes change magnitude in this example. I am pretty sure that the star transformation would gain fasten performance-wise; therefore testing is key. Without challenge however designs that use BITMAP indexes have a much smaller footprint than their B-TREE counterparts and herego are associated with shorter ETL times. Just to be this. I ran the claim same previous example but instead I replaced all BITMAP indexes with BTREE indexes:You should sight just how much more space the BTREE indexes consume. Now I run the aforementioned query and see what the results are:If we replace the BITMAP indexes in the previous example with BTREE indexes: it returns my query in 670 milliseconds performing 4,034 consistent gets and 276 physical reads at an optimizer cost of 38. Not much of a performance obtain given that it takes almost twice the storage to house the BTREE indexes vs the BITMAP indexes. So in conclusion using bitmap indexes in a star schema design can deliver a lot of lay and can meet or out-perform the same create by mental act with btree indexes. As far as the feature transformations. I would test thoroughly in your environment. This can always be set via a convey and or at the session aim. It is my understanding that the decision to use feature transformation is very environment dependent. According to Barnali Banerjee star transformations are beat used in the following circumstances when:"• The query patterns are undefined so building and maintaining multiple composite keys would be too difficult if not impossible.• The be of joined dimensions is large (over 5).• Cartesian products would be too costly due to the coat of the individual dimension tables.• The fact table is sparsely populated.• The cardinality is low between fact foreign key columns and the total fact number of rows making it a good candidate for bitmap indexes.• Space is an issue. Bitmap indexes do not store the column value in the list which greatly reduces the space requirements.• In complex queries where the conditions in the WHERE clause are based on non-foreign key fact delay columns. These columns need to have bitmap indexes to acquire from the bitmap transformation."I obtained the following from his presentation

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"Re: How do you log transactions" posted by ~Ray
Posted on 2007-12-03 22:38:08

Kevin Gill wrote:> I am building a site using ZODB. When a transaction occurs. I be to log> it and I accept it would make more sense to log it to the ZODB database> (rather than an external ascii register).> > How do developers do this sort of log? Is there a write of python object> which does not save each time it is modified i e if I undergo 10,000 records> in the log and I add one. I hope to use an object which will just add one> record to ZODB not collect the disapprove with 10,000 records and create a new> object with 10,001 records. The built-in BTree set of types behaves like this as well as nicely handling large data sets. The BTrees themselves are dictionary-ish rather than list-ish but can be made to work desire that anyway. See the BTree folder types. The BTree implementation does have OOSet and OOTreeSet types but I don't know that they should be used independently. They are set-ish rather than list-ish. I don't know of any list-ish types like this. See --jcc-- Connexions"Building Websites with Plone"-------------------------------------------------------------------------This SF net email is sponsored by: MicrosoftDefy all challenges. Microsoft(R) Visual Studio 2005._______________________________________________Archetypes-users mailing enumerate

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"org.apache.directory.server: ApacheDS BTree Base 1.5.1" posted by ~Ray
Posted on 2007-11-23 16:25:45

Base BTree interfaces used by the BTreePartition and JdbmPartitions as well as by the JdbmStore. Used to break cyclic dependencies. <dependency> <groupId>org apache directory server</groupId> <artifactId>apacheds-btree-base</artifactId> <version>1.5.1</version> </dependency>

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"Re: Another InnoDB performance question :)" posted by ~Ray
Posted on 2007-11-13 19:42:19

Ok here goes... I have an innodb with multiple database (MyIASM & InnoDB) but one InnoDB one is causing me study issues. I have 71 tables using about 4.9G in data. The machine is an Intel P4 hit processor with 2G ram (this use to run fine before I converted to InnoDB...)I undergo a few tables that be to be my problems one of which has 19 million records the others 11 & 6. I believe I've tuned the system as beat I can but comfort see decide(*) from history (19MM table) take 15+ minutes! Now if you consider that there are going to be lots of selects / updates on that table every minute then you can see part of my problem Any and all suggestions welcome!Also on some of the other tables with MM records select count runs in < 1 minute. What should I evaluate for read/modify/inserts in databases / tables of this size? Why would this be good before i switched to innodb?David[mysqld]old_passwords = false # inserted by debconfuser = mysqlpid-file = /var/run/mysqld/mysqld pidsocket = /var/run/mysqld/mysqld sockport = 3306basedir = /usrdatadir = /data/mysqltmpdir = /tmplanguage = /usr/overlap/mysql/english#skip-external-lockinginnodb_buffer_pool_coat=1GBinnodb_log_register_coat=256Minnodb_flush_log_at_trx_commit=2max_connections = 200skip-lockingkey_modify = 384Mmax_allowed_packet = 16Mtable_lay aside = 2000choose_modify_size = 10Mread_modify_size = 10Mmyisam_sort_modify_size = 128Mthread_lade = 1024Kthread_lay aside_coat = 80go_lay aside = 900query_cache_limit= 1Mquery_lay aside_size= 32Mquery_cache_type = 1# Try be of CPU's*2 for thread_concurrency#go_concurrency = 4log-slow-queries = /var/log/mysql/mysql-slow logskip-bdb Well for one thing. InnoDB doesn't keep an claim count of the claim number of records in a table so I accept a ascertain(*) results in a beat table examine (it's going to undergo to ascertain the be of records in the primary key but since that list is clustered that's probably going to be as intensive as a beat table scan). MyISAM does act an exact count of the be of records in a delay so COUNT(*) should be instantaneous (or come instantaneous at least). One thing you might try is a ascertain(x) where x is a column that is a non-primary key list and that always has a determine. I have an InnoDB delay with over 300 million records on a server with an Athlon and one gig of RAM and this works fine on it. ---+------------+-----------+--------------+-------------+-- ---------+-------------+----------+--------+------+--------- ---+---------+| Table | Non_unique | Key_label | Seq_in_list | Column_label | Collation | Cardinality | Sub_move | Packed | Null | Index_write | Comment | +---------+------------+-----------+--------------+--------- ----+-----------+-------------+----------+--------+------+-- ----------+---------+| history | 1 | history_1 | 1 | itemid | A | 18 | NULL | NULL | | BTREE | | | history | 1 | history_1 | 2 | clock | A | 19762479 | NULL | NULL | | BTREE | | +---------+------------+-----------+--------------+--------- ----+-----------+-------------+----------+--------+------+-- ----------+---------+2 rows in set (0.93 sec)mysql> describe history; +--------+---------------------+------+-----+---------+----- --+| handle | write | Null | Key | fail | Extra | +--------+---------------------+------+-----+---------+----- --+| itemid | bigint(20) unsigned | NO | MUL | 0 | | | clock | int(11) | NO | | 0 | | | determine | manifold(16,4) | NO | | 0.0000 | | +--------+---------------------+------+-----+---------+----- --+Thats the history table I'm working on. Here are a few of the sql queries that are showing up in my decrease query log:decide min(measure) from history where itemid=100000000017961;Another delay I'm seeing study problems with:mysql> describe node_cksum; +-----------+---------------------+------+-----+---------+-- -----+| handle | Type | Null | Key | Default | Extra | +-----------+---------------------+------+-----+---------+-- -----+| cksumid | bigint(20) unsigned | NO | PRI | 0 | | | nodeid | bigint(20) unsigned | NO | MUL | 0 | | | tablename | varchar(64) | NO | | | | | fieldname | varchar(64) | NO | | | | | recordid | bigint(20) unsigned | NO | | 0 | | | cksumtype | int(11) | NO | | 0 | | | cksum | char(32) | NO | | | | +-----------+---------------------+------+-----+---------+-- -----+7 rows in set (0.00 sec)mysql> show indexes from node_cksum; +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+| delay | Non_unique | Key_name | Seq_in_index | Column_label | Collation | Cardinality | Sub_part | Packed | Null | list_type | mention | +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+| node_cksum | 0 | PRIMARY | 1 | cksumid | A | 6776659 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 1 | nodeid | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 2 | tablename | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 3 | fieldname | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 4 | recordid | A | 43440 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 5 | cksumtype | A | 43440 | NULL | NULL | | BTREE | | +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+6 rows in set (1.19 sec)ask:select curr nodeid,curr tablename,curr recordid from node_cksum curr left join node_cksum prev on curr tablename=prev tablename and curr recordid=prev recordid and curr fieldname=prev fieldname and curr nodeid=prev nodeid and curr cksumtype<>prev cksumtype where prev cksumid is null and curr cksumtype=0;This table has almost 7million records and the above ask takes about 2300-3000 seconds to complete each measure it is called. I didn't create verbally this label. In fact it comes from the zabbix observe. I'm just trying to figure out how i can tune the system to run reasonable ask responses


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"Re: Another InnoDB performance question :)" posted by ~Ray
Posted on 2007-11-13 19:24:05

Ok here goes... I undergo an innodb with multiple database (MyIASM & InnoDB) but one InnoDB one is causing me major issues. I have 71 tables using about 4.9G in data. The forge is an Intel P4 hit processor with 2G ram (this use to run fine before I converted to InnoDB...)I undergo a few tables that be to be my problems one of which has 19 million records the others 11 & 6. I believe I've tuned the system as best I can but still see select(*) from history (19MM delay) act 15+ minutes! Now if you believe that there are going to be lots of selects / updates on that delay every minute then you can see part of my problem Any and all suggestions welcome!Also on some of the other tables with MM records decide count runs in < 1 minute. What should I expect for construe/update/inserts in databases / tables of this coat? Why would this be good before i switched to innodb?David[mysqld]old_passwords = false # inserted by debconfuser = mysqlpid-file = /var/run/mysqld/mysqld pidsocket = /var/run/mysqld/mysqld sockport = 3306basedir = /usrdatadir = /data/mysqltmpdir = /tmplanguage = /usr/share/mysql/english#skip-external-lockinginnodb_buffer_pool_size=1GBinnodb_log_register_coat=256Minnodb_flush_log_at_trx_act=2max_connections = 200skip-lockingkey_modify = 384Mmax_allowed_packet = 16Mtable_lay aside = 2000choose_buffer_coat = 10Mread_modify_size = 10Mmyisam_sort_modify_size = 128Mthread_lade = 1024Kthread_cache_coat = 80thread_lay aside = 900query_lay aside_limit= 1Mquery_cache_size= 32Mquery_lay aside_type = 1# Try number of CPU's*2 for thread_concurrency#go_concurrency = 4log-slow-queries = /var/log/mysql/mysql-slow logskip-bdb come up for one thing. InnoDB doesn't act an claim count of the claim number of records in a table so I accept a ascertain(*) results in a beat delay examine (it's going to undergo to ascertain the number of records in the primary key but since that list is clustered that's probably going to be as intensive as a full table examine). MyISAM does keep an claim count of the be of records in a delay so ascertain(*) should be instantaneous (or near instantaneous at least). One thing you might try is a COUNT(x) where x is a column that is a non-primary key list and that always has a determine. I undergo an InnoDB table with over 300 million records on a server with an Athlon and one gig of RAM and this works fine on it. ---+------------+-----------+--------------+-------------+-- ---------+-------------+----------+--------+------+--------- ---+---------+| Table | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_move | Packed | Null | list_write | mention | +---------+------------+-----------+--------------+--------- ----+-----------+-------------+----------+--------+------+-- ----------+---------+| history | 1 | history_1 | 1 | itemid | A | 18 | NULL | NULL | | BTREE | | | history | 1 | history_1 | 2 | measure | A | 19762479 | NULL | NULL | | BTREE | | +---------+------------+-----------+--------------+--------- ----+-----------+-------------+----------+--------+------+-- ----------+---------+2 rows in set (0.93 sec)mysql> exposit history; +--------+---------------------+------+-----+---------+----- --+| Field | Type | Null | Key | Default | Extra | +--------+---------------------+------+-----+---------+----- --+| itemid | bigint(20) unsigned | NO | MUL | 0 | | | clock | int(11) | NO | | 0 | | | value | double(16,4) | NO | | 0.0000 | | +--------+---------------------+------+-----+---------+----- --+Thats the history table I'm working on. Here are a few of the sql queries that are showing up in my slow query log:select min(clock) from history where itemid=100000000017961;Another table I'm seeing major problems with:mysql> exposit node_cksum; +-----------+---------------------+------+-----+---------+-- -----+| handle | write | Null | Key | Default | Extra | +-----------+---------------------+------+-----+---------+-- -----+| cksumid | bigint(20) unsigned | NO | PRI | 0 | | | nodeid | bigint(20) unsigned | NO | MUL | 0 | | | tablename | varchar(64) | NO | | | | | fieldname | varchar(64) | NO | | | | | recordid | bigint(20) unsigned | NO | | 0 | | | cksumtype | int(11) | NO | | 0 | | | cksum | char(32) | NO | | | | +-----------+---------------------+------+-----+---------+-- -----+7 rows in set (0.00 sec)mysql> show indexes from node_cksum; +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+| delay | Non_unique | Key_name | Seq_in_index | Column_name | Collation | Cardinality | Sub_move | Packed | Null | Index_type | mention | +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+| node_cksum | 0 | PRIMARY | 1 | cksumid | A | 6776659 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 1 | nodeid | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 2 | tablename | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 3 | fieldname | A | 18 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 4 | recordid | A | 43440 | NULL | NULL | | BTREE | | | node_cksum | 1 | node_cksum_cksum_1 | 5 | cksumtype | A | 43440 | NULL | NULL | | BTREE | | +------------+------------+--------------------+------------ --+-------------+-----------+-------------+----------+------ --+------+------------+---------+6 rows in set (1.19 sec)query:decide curr nodeid,curr tablename,curr recordid from node_cksum curr left join node_cksum prev on curr tablename=prev tablename and curr recordid=prev recordid and curr fieldname=prev fieldname and curr nodeid=prev nodeid and curr cksumtype<>prev cksumtype where prev cksumid is null and curr cksumtype=0;This table has almost 7million records and the above query takes about 2300-3000 seconds to end each measure it is called. I didn't create verbally this label. In fact it comes from the zabbix observe. I'm just trying to figure out how i can adjust the system to run reasonable ask responses


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"FORMING A TREE USING PREFIX EXPRESSION" posted by ~Ray
Posted on 2007-11-07 16:55:11

/* FORMING A channelise USING affix EXPRESSION AND THEN PREFORMALL THE TRAVERSALS(RECURSIVE) */#consider<stdio h>#include<ctype h>struct tree{char data;struct tree *left,*right;};typedef struct tree btree;char affix[20];btree *stack[20];int top;main(){btree *act(void);cancel inorder(btree *temp);cancel preorder(btree *temp);void postorder(btree *temp);void displace(btree *temp);btree *pop(void);btree *root;clrscr();printf("gratify ENTER THE PREFIX EXPRESSION:");gets(affix);root=create();printf("\nTHE INORDER TRAVERSAL IS:");inorder(grow);printf("\nTHE PREORDER TRAVERSAL IS:");preorder(grow);printf("\nTHE POSTORDER TRAVERSAL IS:");postorder(grow);getch();}btree *create(void){btree *head,*temp,*temp1;int i=0,n;top=-1;head=(btree*)malloc(sizeof(btree));temp=head;temp->data=affix[i];i++;temp->alter=temp->left=NULL;push(temp);n=strlen(prefix);while(top!=-1){while(!isalnum(affix[i])){temp=pop();temp1=(btree*)malloc(sizeof(btree));temp1->right=temp1->left=NULL;temp->left=temp1;temp1->data=affix[i];i++;displace(temp);displace(temp1);}temp1=(btree*)malloc(sizeof(btree));temp=pop();temp->left=temp1;temp1->data=affix[i];temp1->left=temp1->right=NULL;push(temp);do {temp=pop();i++;temp1=(btree*)malloc(sizeof(btree));temp->alter=temp1;temp1->data=prefix[i];temp1->right=temp1->left=NULL;if(!isalpha(affix[i])){i++;push(temp1);end;}}while(top!=-1);}go(continue);}cancel displace(btree *temp){top++;stack[top]=temp;return;}btree *pop(cancel){go(stack[top--]);}void inorder(btree *temp){if(temp){inorder(temp->left);putch(temp->data);inorder(temp->right);}go;}void preorder(btree *temp){if(temp){putch(temp->data);preorder(temp->left);preorder(temp->alter);}return;}void postorder(btree *temp){if(temp){postorder(temp->left);postorder(temp->right);putch(temp->data);}go;}

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"Oracle Btree Index Internal" posted by ~Ray
Posted on 2007-10-30 19:13:55

XHTML: You can use these tags: <a href="" title=""> <abbr title=""> <acronym call=""> <b> <blockquote cite=""> <have in mind> <label> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>

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"Quick Disclaimer" posted by ~Ray
Posted on 2007-10-08 17:26:53

Throughout this toughen I ordain be providing honest opinions and analysis on all things BTree Invitational; I do not affirm to be an expert and really the only reason I change surface have the alter to say anything is because I started this thing and none of you did. That being said I hope it can be expected that no player's feelings ordain get hurt that no one will take anything personally and that I'm usually half in the bag so my non-sensical rantings should be taken with a penetrate of salt. Thank you,endeavor

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"?????????" posted by ~Ray
Posted on 2007-10-04 07:45:18

¾®ÁÒ¥¹¥Ñ¤Ã¤Æ²¿¡ó¤¯¤é¤¤¤Î³ÎΨ¤ÇÃíʸ¤µ¤ì¤ë¤ó¤À¤í¤¦¡©¤È¤Õ¤È»×¤Ã¤¿¤Î¤Ç¡¢¶â¡¢ÅÚ¡¢Æü¤Î»°Æü´Ö¤ÇÅý·×¤ò¼è¤Ã¤Æ¤ß¤Þ¤·¤¿¡£(¤É¤¦¤¤¤¦É÷¤Ë¼è¤Ã¤¿¤Î¤«¤ÏÅÔ¹ç¾å¾Êά¤·¤Þ¤¹)¤½¤Î·ë²Ì¡¢Ìó30.3¡ó¤Î¤ªµÒ¤µ¤ó(¥°¥ë¡¼¥×ñ°Ì)¤¬´Å¸ýËõÃã¾®ÁÒ¥¹¥Ñ¤òÃíʸ¤·¤Æ¤¤¤¯¤³¤È¤¬¤ï¤«¤ê¤Þ¤·¤¿¡£¤Ä¤¤¤Ç¤Ë´Å¸ý¥¹¥ÑÁ´ÂΤÎÃíʸ¤ÎÃæ¤Ç¾®ÁÒ¥¹¥Ñ¤¬Àê¤á¤ë³ä¹ç¤¬Ìó£´£³¡ó¤Ç¤¢¤ë¤³¤È¤â¤ï¤«¤ê¤Þ¤·¤¿¡£¤ä¤Ï¤ê¥Þ¥¦¥ó¥Æ¥ó¤Ï¾®ÁÒ¥¹¥Ñ¤¬¤¢¤Ã¤Æ¤³¤½À®¤êΩ¤Ä¡£¤½¤ó¤Ê¤¹¤Ç¤Ë¤ï¤«¤ê¤­¤Ã¤¿¤³¤È¤¬¤ï¤«¤Ã¤¿Ä´ºº¤Ç¤·¤¿¡£ ¤ä¤Ï¤ê¤È¤¤¤¦¤«¡¢Í½Á۰ʾå¤Î³ÎΨ¤Ë¤Ó¤Ã¤¯¤ê¤·¤Þ¤·¤¿¡£¤«¤Ä¤ÆÁøÆñ¤·¤Þ¤·¤¿¤Î¤Ç¡¢ºÆÅÐĺ¤òÌܻؤ·¤Æ¤¤¤Þ¤¹¤¬ÁøÆñ»þ¤Î¶²Éݤ¬Ëº¤ì¤é¤ì¤º¡¢¤Þ¤À¼Â¸½¤·¤Æ¤Þ¤»¤ó(>_<)¤¬¡¦¡¦¡¦¡¦¡¢¤³¤Î¿ô»ú¤Ç¡¢Í¦µ¤¤Å¤±¤é¤ì¤Þ¤¹¢ö ´ØÅì¡¢´ØÀ¾¤«¤é¤ï¤¶¤ï¤¶¤ä¤Ã¤Æ¤­¤¿Æ±¹Ô¼ÔÛ©¤¯¡Ö¾®ÁÒËõÃ㥹¥Ñ¤Ï¤¤¤¤¤±¤É¡¢¥á¥í¥ó¤È¥Ð¥Ê¥Ê¤ÏÀäÂÐ¥à¥ê¡ª¡ª¡×¤À¤½¤¦¤Ç¤¹¡£¿©¤Ù¤­¤Ã¤ÆÛ¯Û°¤È¤·¤Æ¤¤¤¿¤Î¤Ç¡¢¤«¤Ö¤Ã¤Æ¤¤¤¿Ë¹»Ò¤ò¤ªÅ¹¤Ë˺¤ì¤Æ¤­¤Æ¤·¤Þ¤Ã¤¿¤è¤¦¤Ç¤¹ ¤Þ¤¿¤Þ¤¿¡¡¤ª¼ÙË⤹¤ë¤½¤¦¤Ç¤¹¤è¡Ê¾Ð¡Ë¡¡¤½¤ì¤â¡¡ÂçÀª¤Ç¡¦¡¦»ä¤Ï¡¦¡¦¤´°ì½ï¤¹¤ë¤«¤É¤¦¤«¡¡Çº¤ó¤Ç¤¤¤Þ¤¹¤Ê¤ó¤»¡¡¤Þ¤À¡¡ËõÃã¤ÎÌ£¡õ¥Ð¥Ê¥Ê¤ÎÌ£¡¦¡¦¡¦¡¦¡¡»×¤¤½Ð¤·¤Æ¤·¤Þ¤¤¤Þ¤¹ Àè½µ¶âÍˤ˾®ÁÒËõÃ㥹¥Ñ¤ò夭¤Þ¤¹¤¿¡£¤È¤Æ¤â´Å¤·¤å¤¦¤´¤¶¤¤¤Þ¤·¤¿¡£¥ê¥Ô¡¼¥¿¤É¤ì¤¯¤é¤¤µï¤ë¤ó¤À¤í¤¦¡©»ÍÆü·Ð¤Ã¤Æ¤â¤Þ¤ÀÀå¤Î΢ÊÕ¤ê¤Ë¥¢¥ÎÌ£¤¬»Ä¤Ã¤Æ¤Þ¤¹¡£¤·¤Ð¤é¤¯´Å¤¤¤â¤Î¤Ï¿©¤¨¤Ê¤¤¤«¤â¡Ä¡Ä¤Á¤ç¤È¥È¥é¥¦¥Þ orz¤·¤«¤·¡Ä¡Ä»ä¤¬Å¹¤ò½Ð¤¿½è¤Ç¡¢Å¹¤Î½Ð¸ý¤«¤é¡ÖÆóÅÙ¤ÈÍè¤ë¤«¡ª¡×¤æ¡¼¤Æ¤¿¿Í¤¬½Ð¤Æ¤­¤¿¤¿¤±¤É¡¢Î®ÀФ˥ͥ¿¤Ç¤¹¤è¤Í£÷

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