documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3 Concepts 10 3.1 Adaptor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.1.1 . . . . . . . . . . . . . . . . . . . . . . . . . . . . 306 7.7.13 13. [Sharding] How to allow range query with using inline sharding strat‐ egy(BETWEEN AND, >, <, >=, <=)? . . . . . . . . . . . . and clear. Most modules are horizontal extensions faced to these concepts. The concepts include: adaptor faced to independent products, runtime mode faced to startup, DistSQL faced to users and pluggable

documents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3 Concepts 10 3.1 Adaptor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.1.1 ShardingSphere not continuous and most of them end with even numbers? . 349 7.8.14 [Sharding] How to allow range query with using inline sharding strat‐ egy(BETWEEN AND, >, <, >=, <=)? . . . . . . . . . . . . and clear. Most modules are horizontal extensions faced to these concepts. The concepts include: adaptor faced to independent products, runtime mode faced to startup, DistSQL faced to users and pluggable

ShardingSphere‐Proxy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 3 Concepts 10 3.1 Adaptor . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 3.1.1 ShardingSphere not continuous and most of them end with even numbers? . 361 7.8.14 [Sharding] How to allow range query with using inline sharding strat‐ egy(BETWEEN AND, >, <, >=, <=)? . . . . . . . . . . . . and clear. Most modules are horizontal extensions faced to these concepts. The concepts include: adaptor faced to independent products, runtime mode faced to startup, DistSQL faced to users and pluggable

Creating Partitioned Tables with the Modern Syntax 352 Defining a Date-Range Partitioned Table 352 Defining a Numeric-Range Partitioned Table 353 Defining a List Partitioned Table 354 Defining a Hash Creating Partitioned Tables with the Classic Syntax 370 Creating a Date-Range Partitioned Table 370 Creating a Numeric-Range Partitioned Table 371 Creating a List Partitioned Table 371 Defining Multi-level over a Row Window Frame 595 Example 4 – Aggregate Function for a Range or Groups Window Frame 595 Example 5 – Aggregate Function for a Range and a Groups Window Frame 596 Type Casts 597 Scalar Subqueries

imental feature used to read historical data from a specified point in time or from a specified time range. User document, #21094 The examples of AS OF TIMESTAMP are as follows: SELECT * FROM t AS OF TIMESTAMP DDL operations might fail when rolling back due to an error #23893 – Fix the issue that the index range of the binary literal constant is incorrectly built #23672 – Fix the potential wrong results of DUPLICATE KEY UPDATE to read data from non-listed partitions #24746 – Fix the potential index out of range error when a SQL statement contains both GROUP BY and UNION #24281 – Fix the issue that the CONCAT

of unsigned flags #28254 – Fix the wrong partition pruning when the partition function is out of range #28233 – Fix the issue that planner might cache invalid plans for join in some cases #28087 – Fix to TiFlash #23907 – Fix the issue that DECIMAL overflow is missing in the %s value is out of �→ range in '%s'error message #27964 – Fix a bug that the availability detection of MPP node does not work corner cases #3118 – Fix the DATA RACE issue when assigning MPP task ID #27952 – Fix the INDEX OUT OF RANGE error for a MPP query after deleting an empty dual table #28250 – Fix the issue of false positive

Tables 753 VMware Greenplum v6.19 Documentation VMware, Inc. 43 Defining Date Range Table Partitions 754 Defining Numeric Range Table Partitions 755 Defining List Table Partitions 755 Defining Multi-level Example 3 – Aggregate Function over a Row Window Frame 890 Example 4 – Aggregate Function for a Range Window Frame 890 Type Casts 891 Scalar Subqueries 891 Correlated Subqueries 892 Correlated Subquery tsvector 1496 tsquery 1497 Range Types 1498 Range Types 0 Built-in Range Types 1498 Examples 1499 Inclusive and Exclusive Bounds 1499 Infinite (Unbounded) Ranges 1499 Range Input/Output 1500 Constructing

Tables 744 VMware Greenplum v6.18 Documentation VMware, Inc. 42 Defining Date Range Table Partitions 745 Defining Numeric Range Table Partitions 746 Defining List Table Partitions 746 Defining Multi-level Example 3 – Aggregate Function over a Row Window Frame 881 Example 4 – Aggregate Function for a Range Window Frame 881 Type Casts 882 Scalar Subqueries 882 Correlated Subqueries 883 Correlated Subquery tsvector 1487 tsquery 1488 Range Types 1489 Range Types 0 Built-in Range Types 1489 Examples 1490 Inclusive and Exclusive Bounds 1490 Infinite (Unbounded) Ranges 1490 Range Input/Output 1491 Constructing

easily select the right index and reduce query response time. 36 – Improve the accuracy of out-of-range estimation. For example, even if the statis- tics for a day have not been updated, TiDB can accurately Fix the data race issue of the parallel Apply operator #23280 – Fix the issue that the index out of range error is reported when sorting the IndexMerge results of the PartitionUnion operator #23919 – Fix backing off queries from TiFlash to TiKV cannot be triggered #23665 #24421 – Fix the index-out-of-range error that occurs when checking only_full_group_by �→ #23839) – Fix the issue that the result of

Tables 676 VMware Greenplum v6.17 Documentation VMware, Inc. 38 Defining Date Range Table Partitions 677 Defining Numeric Range Table Partitions 678 Defining List Table Partitions 678 Defining Multi-level Example 3 – Aggregate Function over a Row Window Frame 813 Example 4 – Aggregate Function for a Range Window Frame 813 Type Casts 814 Scalar Subqueries 814 Correlated Subqueries 815 Correlated Subquery tsvector 1423 tsquery 1424 Range Types 1425 Range Types 0 Built-in Range Types 1425 Examples 1426 Inclusive and Exclusive Bounds 1426 Infinite (Unbounded) Ranges 1426 Range Input/Output 1427 Constructing