. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355 7.3.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 355 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become types. Logic Table The logical name of the horizontally sharded database (table) of the same structure is the logical identi‐ fier of the table in SQL. Example: Order data is split into 10 tables according

the pressure, at last, fall on the database. But the single data node or simple replica query structure has been harder and harder to take these pressures. Therefore, database availability has become It refers collectively to horizontal sharding databases (tables) with the same logic and data structure. For instance, the order data is divided into 10 tables according to the last number of the primary offline_table2, offline_table3 Data Node Configuration For evenly distributed data nodes, if the data structure is as follow: db0 ├── t_order0 └── t_order1 db1 ├── t_order0 └── t_order1 It can be simplified

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 492 12.3.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 492 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become types. Logic Table The logical name of the horizontally sharded database (table) of the same structure is the logical identi‐ fier of the table in SQL. Example: Order data is split into 10 tables according

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 382 7.3.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 382 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become types. Logic Table The logical name of the horizontally sharded database (table) of the same structure is the logical identi‐ fier of the table in SQL. Example: Order data is split into 10 tables according

the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become offline_table2, offline_table3 Configuration Data Node For evenly distributed data nodes, if the data structure is as follow: db0 ├── t_order0 └── t_order1 db1 ├── t_order0 └── t_order1 4.2. Sharding 28 .1}.t_order${0..1} Or db$->{0..1}.t_order$->{0..1} For self‐defined data nodes, if the data structure is: db0 ├── t_order0 └── t_order1 db1 ├── t_order2 ├── t_order3 └── t_order4 It can be simplified

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521 12.3.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 521 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become types. Logic Table The logical name of the horizontally sharded database (table) of the same structure is the logical identi‐ fier of the table in SQL. Example: Order data is split into 10 tables according

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 240 7.1.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 240 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become ShardingSphere document, v5.1.1 Configuration Data Node For evenly distributed data nodes, if the data structure is as follow: db0 ├── t_order0 └── t_order1 db1 ├── t_order0 └── t_order1 It can be simplified

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 251 7.1.1 Data Structure in Registry Center . . . . . . . . . . . . . . . . . . . . . . . . . . 251 /rules . . . . . . the pressure, at last, fall on the database. But the single data node or simple primary‐ replica structure has been harder and harder to take these pressures. Therefore, database availability has become offline_table2, offline_table3 Configuration Data Node For evenly distributed data nodes, if the data structure is as follow: db0 ├── t_order0 └── t_order1 db1 ├── t_order0 └── t_order1 It can be simplified

Incremental Backups 98 Restoring from a Snapshot 99 References 99 CQL Language Reference 99 CQL Lexical Structure 99 CQL Identifiers and Keywords 100 CQL Constants 100 CQL Comments 100 CQL Consistency Levels the counter and the increment (or decrement) value; no timestamp is required. Internally, the structure of a counter column is a bit more complex. Cassandra tracks the distributed state of the counter regular columns or super columns, which adds another level of nesting to the regular column family structure. Super columns are comprised of a (super) column name and an ordered map of sub-columns. A super

..................................................................................24 4.1. Lexical Structure............................................................................................ ......................................................................................30 4.1.6. Lexical Precedence ..................................................................................... Quotation Marks.........................................................................606 36.3. Structure of PL/pgSQL....................................................................................