 Apache ShardingSphere 5.1.2 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 4.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 4.5.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Dynamic Readwrite‐Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 4.6.5 Use Norms . . . . . . . . . databases in the same log . . . . . . . . . . . . . . . . . . . . . . 215 To distinguish databases and users in the same log . . . . . . . . . . . . . . . . . 216 To split into different log files . . . .0 码力 | 503 页 | 3.66 MB | 1 年前3 Apache ShardingSphere 5.1.2 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 4.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53 4.5.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Dynamic Readwrite‐Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 4.6.5 Use Norms . . . . . . . . . databases in the same log . . . . . . . . . . . . . . . . . . . . . . 215 To distinguish databases and users in the same log . . . . . . . . . . . . . . . . . 216 To split into different log files . . . .0 码力 | 503 页 | 3.66 MB | 1 年前3
 Apache ShardingSphere 5.1.1 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 4.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 4.5.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Dynamic Readwrite‐Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 4.6.5 Use Norms . . . . . . . . . DatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 6.8 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 6.8.1 ReadwriteSplittingType0 码力 | 458 页 | 3.43 MB | 1 年前3 Apache ShardingSphere 5.1.1 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 4.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 4.5.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Dynamic Readwrite‐Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 4.6.5 Use Norms . . . . . . . . . DatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 6.8 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233 6.8.1 ReadwriteSplittingType0 码力 | 458 页 | 3.43 MB | 1 年前3
 Apache ShardingSphere 5.4.1 DocumentAppendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 8.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 8.3.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 Transaction . . . . . Implementation classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 10.4 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 10.4.1 ReadQue0 码力 | 572 页 | 3.73 MB | 1 年前3 Apache ShardingSphere 5.4.1 DocumentAppendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 8.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 8.3.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122 Transaction . . . . . Implementation classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 10.4 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 452 10.4.1 ReadQue0 码力 | 572 页 | 3.73 MB | 1 年前3
 Apache ShardingSphere 5.2.0 DocumentAppendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Dynamic Read/Write Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 3.4.7 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162 Readwrite Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 Transaction . . . . .0 码力 | 483 页 | 4.27 MB | 1 年前3 Apache ShardingSphere 5.2.0 DocumentAppendix with SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Dynamic Read/Write Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 3.4.7 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 162 Readwrite Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165 Transaction . . . . .0 码力 | 483 页 | 4.27 MB | 1 年前3
 Apache ShardingSphere 5.0.0 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.4 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.4.1 Background DatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 6.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 6.5.1 ReplicaLoadBalanceAlgorithm access entry to provide additional features transparently, such as: redirect (sharding, readwrite‐splitting and shadow), transform (data encrypt and mask), authen‐ tication (security, audit and authority)0 码力 | 403 页 | 3.15 MB | 1 年前3 Apache ShardingSphere 5.0.0 Document. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.4 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 4.4.1 Background DatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 6.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 226 6.5.1 ReplicaLoadBalanceAlgorithm access entry to provide additional features transparently, such as: redirect (sharding, readwrite‐splitting and shadow), transform (data encrypt and mask), authen‐ tication (security, audit and authority)0 码力 | 403 页 | 3.15 MB | 1 年前3
 Apache ShardingSphere 5.2.1 Documentwith SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 ii 3.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.3.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Dynamic Read/Write Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.4.7 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164 Readwrite Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 Transaction . . . . .0 码力 | 523 页 | 4.51 MB | 1 年前3 Apache ShardingSphere 5.2.1 Documentwith SQL operator . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 ii 3.3 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 3.3.1 Background Availability Type . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Dynamic Read/Write Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 3.4.7 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 164 Readwrite Splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167 Transaction . . . . .0 码力 | 523 页 | 4.51 MB | 1 年前3
 Apache ShardingSphere 5.0.0-alpha DocumentDatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 vi 5.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286 5.5.1 ReplicaLoadBalanceAlgorithm competition, so the relational database still holds an unshakable position. Sharding refers to splitting the data in one database and storing them in multiple tables and databases according to some certain effectively avoid the data concen‐ trating on one node and increase the architecture availability. Splitting data through database sharding and table sharding is an effective method to deal with high TPS0 码力 | 311 页 | 2.09 MB | 1 年前3 Apache ShardingSphere 5.0.0-alpha DocumentDatabaseSQLEntry . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 285 vi 5.5 Readwrite‐splitting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 286 5.5.1 ReplicaLoadBalanceAlgorithm competition, so the relational database still holds an unshakable position. Sharding refers to splitting the data in one database and storing them in multiple tables and databases according to some certain effectively avoid the data concen‐ trating on one node and increase the architecture availability. Splitting data through database sharding and table sharding is an effective method to deal with high TPS0 码力 | 311 页 | 2.09 MB | 1 年前3
 HBase Practice At XiaoMiin XiaoMi ❏ Problem 3. Restart of a small cluster is stuck at log splitting Why stuck at splitting ❏ HBASE-19358 ❏ Problem: Log splitting has a bad performance or even not working when the number of closeThreadPool (close these log writers) getChunkToWrite Write the largest chunk Close all writers at the end Region 1 Region 2 Region 3 Region 4 Old design of log splitting Log splitting problem - 1 ❏ Too space = number of Log * number of region * configured size of HLog block * number of replica ❏ Especially for a small hdfs cluster, whose remaining space is small. Log splitting problem - 2 ❏ Too0 码力 | 56 页 | 350.38 KB | 1 年前3 HBase Practice At XiaoMiin XiaoMi ❏ Problem 3. Restart of a small cluster is stuck at log splitting Why stuck at splitting ❏ HBASE-19358 ❏ Problem: Log splitting has a bad performance or even not working when the number of closeThreadPool (close these log writers) getChunkToWrite Write the largest chunk Close all writers at the end Region 1 Region 2 Region 3 Region 4 Old design of log splitting Log splitting problem - 1 ❏ Too space = number of Log * number of region * configured size of HLog block * number of replica ❏ Especially for a small hdfs cluster, whose remaining space is small. Log splitting problem - 2 ❏ Too0 码力 | 56 页 | 350.38 KB | 1 年前3
 Back To Basics: Functional Programming in C++generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Jonathan Müller — @foonathan Back to Basics: Functional Programming in generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Joining ranges: join, join_with Jonathan Müller — @foonathan Back to Basics: generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Joining ranges: join, join_with Know your algorithms: Jonathan Müller0 码力 | 178 页 | 918.67 KB | 6 月前3 Back To Basics: Functional Programming in C++generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Jonathan Müller — @foonathan Back to Basics: Functional Programming in generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Joining ranges: join, join_with Jonathan Müller — @foonathan Back to Basics: generator Transforming ranges: transform, filter Combining ranges: cartesian_product, zip, concat Splitting ranges: split, chunk_by Joining ranges: join, join_with Know your algorithms: Jonathan Müller0 码力 | 178 页 | 918.67 KB | 6 月前3
 Drawing UML with PlantUML - PlantUML Language Reference Guide(Version 1.2019.9)really\nlong name" #99FF99 '/ Alice->Bob: Authentication Request Bob->Alice: Authentication Response Bob->L: Log transaction @enduml You can use the order keyword to customize the display order of participants. is used to add a title to the page. PlantUML Language Reference Guide (1.2019.9) 6 / 174 1.9 Splitting diagrams 1 SEQUENCE DIAGRAM Pages can display headers and footers using header and footer. @startuml %lastpage% title Example Title Alice -> Bob : message 1 Alice -> Bob : message 2 @enduml 1.9 Splitting diagrams The newpage keyword is used to split a diagram into several images. You can put a title0 码力 | 175 页 | 1.95 MB | 1 年前3 Drawing UML with PlantUML - PlantUML Language Reference Guide(Version 1.2019.9)really\nlong name" #99FF99 '/ Alice->Bob: Authentication Request Bob->Alice: Authentication Response Bob->L: Log transaction @enduml You can use the order keyword to customize the display order of participants. is used to add a title to the page. PlantUML Language Reference Guide (1.2019.9) 6 / 174 1.9 Splitting diagrams 1 SEQUENCE DIAGRAM Pages can display headers and footers using header and footer. @startuml %lastpage% title Example Title Alice -> Bob : message 1 Alice -> Bob : message 2 @enduml 1.9 Splitting diagrams The newpage keyword is used to split a diagram into several images. You can put a title0 码力 | 175 页 | 1.95 MB | 1 年前3
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