Do Not Support Bulk Processing With Native Dynamic Sql

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Native Dynamic SQL - Oracle

    https://docs.oracle.com/cd/A97630_01/appdev.920/a96624/11_dynam.htm
    As a rule, dynamic SQL does not support PL/SQL-specific types. So, for example, define variables and bind arguments cannot be Booleans or index-by tables. The only exception is that a PL/SQL record can appear in the INTO clause. You can execute a dynamic SQL statement repeatedly using new values for the bind arguments.

Performing SQL Operations with Native Dynamic SQL

    https://web.stanford.edu/dept/itss/docs/oracle/10gR2/appdev.102/b14261/dynamic.htm
    As a rule, dynamic SQL does not support PL/SQL-specific types. For example, define variables and bind arguments cannot be Booleans or associative arrays. The only exception is that a PL/SQL record can appear in the INTO clause. You can execute a dynamic SQL statement repeatedly using new values for the bind arguments.

ORACLE-BASE - Native Dynamic SQL

    https://oracle-base.com/articles/8i/native-dynamic-sql
    Does not support bulk Dynamic SQL, but it can be faked by placing all statements in a PL/SQL block. Supports bulk Dynamic SQL. Only supports Single row Updates/Deletes with RETURNING clause.

introduction to bulk pl/sql enhancements in 9i

    http://www.oracle-developer.net/display.php?id=201
    bulk collect with native dynamic sql. Oracle 9i now enables us to bulk fetch from Native Dynamic SQL statements. Prior to 9i we had DBMS_SQL (with its reasonably complex, low-level interface) or NDS workarounds using dynamic PL/SQL. However, it is now much simpler in 9i.

7 Performing SQL Operations with Native Dynamic SQL

    https://docs.oracle.com/cd/B13789_01/appdev.101/b10807/11_dynam.htm
    As a rule, dynamic SQL does not support PL/SQL-specific types. For example, define variables and bind arguments cannot be Booleans or associative arrays. The only exception is that a PL/SQL record can appear in the INTO clause. You can execute a dynamic SQL statement repeatedly using new values for the bind arguments.

Native Dynamic SQL - pafumi.net

    http://pafumi.net/native_dynamic_sql.html
    As a rule, dynamic SQL does not support PL/SQL-specific types. So, for example, define variables and bind arguments cannot be Booleans or index-by tables. The only exception is that a PL/SQL record can appear in the INTO clause. You can execute a dynamic SQL statement repeatedly using new values for the bind arguments.

How to use native queries to perform bulk updates

    https://thoughts-on-java.org/use-native-queries-perform-bulk-updates/
    Jul 06, 2016 · / How to use native queries to perform bulk updates. How to use native queries to perform bulk updates. By Thorben Janssen 1 Comment ... You can do that with JPQL or native SQL queries which define the update in one statement. ... The execution of these 400 statements and all the Hibernate-internal processing takes about 370ms on my local test ...

Native Dynamic SQL tips - Burleson Oracle Consulting

    http://www.dba-oracle.com/t_native_dynamic_sql.htm
    All the bind variables are to be placed only in the USING clause and if not mentioned, the parameter mode is IN by default. For the DML statements with the RETURNING INTO clause, by default the parameter mode for the bind variable will be OUT. For more examples of native dynamic SQL,...

Dynamic SQL - Oracle

    https://docs.oracle.com/cd/A84870_01/doc/appdev.816/a76939/adg09dyn.htm
    Although there is no direct support for bulk operations in native dynamic SQL, you can simulate a native dynamic bulk SQL statement by placing the bulk SQL statement in a 'BEGIN... END ' block and executing the block dynamically.

Coding Dynamic SQL Statements - Oracle

    https://docs.oracle.com/cd/A97630_01/appdev.920/a96590/adg09dyn.htm
    Native dynamic SQL and static SQL both support fetching into records, but the DBMS_SQL package does not. With native dynamic SQL, the rows resulting from a query can be directly fetched into PL/SQL records. In the following example, the rows from a query are fetched into the emp_rec record:



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