variable: add document about lazy cursor fetch and its variable

best-practices/java-app-best-practices.md

@@ -62,17 +62,21 @@ For batch inserts, you can use the [`addBatch`/`executeBatch` API](https://www.t
 
 In most scenarios, to improve execution efficiency, JDBC obtains query results in advance and save them in client memory by default. But when the query returns a super large result set, the client often wants the database server to reduce the number of records returned at a time, and waits until the client's memory is ready and it requests for the next batch.
 
-Usually, there are two kinds of processing methods in JDBC:
+The following two processing methods are usually used in JDBC:
 
-- [Set `FetchSize` to `Integer.MIN_VALUE`](https://dev.mysql.com/doc/connector-j/en/connector-j-reference-implementation-notes.html#ResultSet) to ensure that the client does not cache. The client will read the execution result from the network connection through `StreamingResult`.
+- The first method: [Set `FetchSize` to `Integer.MIN_VALUE`](https://dev.mysql.com/doc/connector-j/en/connector-j-reference-implementation-notes.html#ResultSet) to ensure that the client does not cache. The client will read the execution result from the network connection through `StreamingResult`.
 
     When the client uses the streaming read method, it needs to finish reading or close `resultset` before continuing to use the statement to make a query. Otherwise, the error `No statements may be issued when any streaming result sets are open and in use on a given connection. Ensure that you have called .close() on any active streaming result sets before attempting more queries.` is returned.
 
     To avoid such an error in queries before the client finishes reading or closes `resultset`, you can add the `clobberStreamingResults=true` parameter in the URL. Then, `resultset` is automatically closed but the result set to be read in the previous streaming query is lost.
 
-- To use Cursor Fetch, first [set `FetchSize`](http://makejavafaster.blogspot.com/2015/06/jdbc-fetch-size-performance.html) as a positive integer and configure `useCursorFetch=true` in the JDBC URL.
+- The second method: Use Cursor Fetch by first [setting `FetchSize`](http://makejavafaster.blogspot.com/2015/06/jdbc-fetch-size-performance.html) as a positive integer and then configuring `useCursorFetch = true` in the JDBC URL.
 
-TiDB supports both methods, but it is preferred that you use the first method, because it is a simpler implementation and has a better execution efficiency.
+TiDB supports both methods, but it is recommended that you use the first method that sets `FetchSize` to `Integer.MIN_VALUE`, because it is a simpler implementation and has better execution efficiency.
+
+For the second method, TiDB first loads all data to the TiDB node, and then returns data to the client according to the `FetchSize`. Therefore, it usually consumes more memory than the first method. If [`tidb_enable_tmp_storage_on_oom`](/system-variables.md#tidb_enable_tmp_storage_on_oom) is set to `ON`, TiDB might temporarily write the result to the hard disk.
+
+If the [`tidb_enable_lazy_cursor_fetch`](/system-variables.md#tidb_enable_lazy_cursor_fetch-new-in-v830) system variable is set to `ON`, TiDB tries to read part of the data only when the client fetches it, which uses less memory. For more details and limitations, read the [complete descriptions for the `tidb_enable_lazy_cursor_fetch` system variable](/system-variables.md#tidb_enable_lazy_cursor_fetch-new-in-v830).
 
 ### MySQL JDBC parameters
 

develop/dev-guide-connection-parameters.md

@@ -143,17 +143,21 @@ For batch inserts, you can use the [`addBatch`/`executeBatch` API](https://www.t
 
 In most scenarios, to improve execution efficiency, JDBC obtains query results in advance and saves them in client memory by default. But when the query returns a super large result set, the client often wants the database server to reduce the number of records returned at a time and waits until the client's memory is ready and it requests for the next batch.
 
-Usually, there are two kinds of processing methods in JDBC:
+The following two processing methods are usually used in JDBC:
 
-- [Set **FetchSize** to `Integer.MIN_VALUE`](https://dev.mysql.com/doc/connector-j/en/connector-j-reference-implementation-notes.html#ResultSet) to ensure that the client does not cache. The client will read the execution result from the network connection through `StreamingResult`.
+- The first method: [Set **FetchSize** to `Integer.MIN_VALUE`](https://dev.mysql.com/doc/connector-j/en/connector-j-reference-implementation-notes.html#ResultSet) to ensure that the client does not cache. The client will read the execution result from the network connection through `StreamingResult`.
 
     When the client uses the streaming read method, it needs to finish reading or close `resultset` before continuing to use the statement to make a query. Otherwise, the error `No statements may be issued when any streaming result sets are open and in use on a given connection. Ensure that you have called .close() on any active streaming result sets before attempting more queries.` is returned.
 
     To avoid such an error in queries before the client finishes reading or closes `resultset`, you can add the `clobberStreamingResults=true` parameter in the URL. Then, `resultset` is automatically closed but the result set to be read in the previous streaming query is lost.
 
-- To use Cursor Fetch, first [set `FetchSize`](http://makejavafaster.blogspot.com/2015/06/jdbc-fetch-size-performance.html) as a positive integer and configure `useCursorFetch=true` in the JDBC URL.
+- The second method: Use Cursor Fetch by first [setting `FetchSize`](http://makejavafaster.blogspot.com/2015/06/jdbc-fetch-size-performance.html) as a positive integer and then configuring `useCursorFetch = true` in the JDBC URL.
 
-TiDB supports both methods, but it is preferred that you use the first method, because it is a simpler implementation and has a better execution efficiency.
+TiDB supports both methods, but it is recommended that you use the first method that sets `FetchSize` to `Integer.MIN_VALUE`, because it is a simpler implementation and has better execution efficiency.
+
+For the second method, TiDB first loads all data to the TiDB node, and then returns data to the client according to the `FetchSize`. Therefore, it usually consumes more memory than the first method. If [`tidb_enable_tmp_storage_on_oom`](/system-variables.md#tidb_enable_tmp_storage_on_oom) is set to `ON`, TiDB might temporarily write the result to the hard disk.
+
+If the [`tidb_enable_lazy_cursor_fetch`](/system-variables.md#tidb_enable_lazy_cursor_fetch-new-in-v830) system variable is set to `ON`, TiDB tries to read part of the data only when the client fetches it, which uses less memory. For more details and limitations, read the [complete descriptions for the `tidb_enable_lazy_cursor_fetch` system variable](/system-variables.md#tidb_enable_lazy_cursor_fetch-new-in-v830).
 
 ### MySQL JDBC parameters
 

system-variables.md

@@ -2138,6 +2138,50 @@ mysql> SELECT job_info FROM mysql.analyze_jobs ORDER BY end_time DESC LIMIT 1;
 - Possible values: `OFF`, `ON`
 - This variable controls whether to support creating `Global indexes` for partitioned tables. `Global index` is currently in the development stage. **It is not recommended to modify the value of this system variable**.
 
+### tidb_enable_lazy_cursor_fetch <span class="version-mark">New in v8.3.0</span>
+
+> **Warning:**
+>
+> The feature controlled by this variable is experimental. It is not recommended that you use it in the production environment. This feature might be changed or removed without prior notice. If you find a bug, you can report an [issue](https://github.com/pingcap/tidb/issues) on GitHub.
+
+<CustomContent platform="tidb">
+
+- Scope: GLOBAL
+- Persists to cluster: Yes
+- Applies to hint [SET_VAR](/optimizer-hints.md#set_varvar_namevar_value): No
+- Type: Boolean
+- Default value: `OFF`
+- Possible values: `OFF`, `ON`
+- This variable controls the behavior of the [Cursor Fetch](/develop/dev-guide-connection-parameters.md#use-streamingresult-to-get-the-execution-result) feature.
+    - When Cursor Fetch is enabled and this variable is set to `OFF`, TiDB reads all the data at the start of statement execution, stores the data into TiDB's memory, and returns it to the client based on the client's specified `FetchSize` for subsequent client reads. If the result set is too large, TiDB might temporarily write the result to the hard disk.
+    - When Cursor Fetch is enabled and this variable is set to `ON`, TiDB does not read all the data into the TiDB node at once, but reads data into the TiDB node incrementally as the client fetches it.
+- The feature controlled by this variable has the following limitations:
+    - It does not support statements within explicit transactions.
+    - It only supports execution plans that contain and only contain `TableReader`, `IndexReader`, `IndexLookUp`, `Projection`, and `Selection` operators.
+    - For statements using Lazy Cursor Fetch, execution information does not appear in the [statements summary](/statement-summary-tables.md) and [slow query log](/identify-slow-queries.md).
+- For unsupported scenarios, its behavior is the same as when setting this variable to `OFF`.
+
+</CustomContent>
+
+<CustomContent platform="tidb-cloud">
+
+- Scope: GLOBAL
+- Persists to cluster: Yes
+- Applies to hint [SET_VAR](/optimizer-hints.md#set_varvar_namevar_value): No
+- Type: Boolean
+- Default value: `OFF`
+- Possible values: `OFF`, `ON`
+- This variable controls the behavior of the [Cursor Fetch](/develop/dev-guide-connection-parameters.md#use-streamingresult-to-get-the-execution-result) feature.
+    - When Cursor Fetch is enabled and this variable is set to `OFF`, TiDB reads all the data at the start of statement execution, stores the data into TiDB's memory, and returns it to the client based on the client's specified `FetchSize` for subsequent client reads. If the result set is too large, TiDB might temporarily write the result to the hard disk.
+    - When Cursor Fetch is enabled and this variable is set to `ON`, TiDB does not read all the data into the TiDB node at once, but reads data into the TiDB node incrementally as the client fetches it.
+- The feature controlled by this variable has the following limitations:
+    - It does not support statements within explicit transactions.
+    - It only supports execution plans that contain and only contain `TableReader`, `IndexReader`, `IndexLookUp`, `Projection`, and `Selection` operators.
+    - For statements using Lazy Cursor Fetch, execution information does not appear in the [statements summary](/statement-summary-tables.md) and [slow query log](https://docs.pingcap.com/tidb/stable/identify-slow-queries).
+- For unsupported scenarios, its behavior is the same as when setting this variable to `OFF`.
+
+</CustomContent>
+
 ### tidb_enable_non_prepared_plan_cache
 
 - Scope: SESSION | GLOBAL