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count insert into t1(x) values( l_x_coll(i) ); Thus, instead of the keyword for, we use the keyword forall, and we lose the keywords loop and end loop The reason forall works faster in most cases is that it avoids switching the context back and forth between PL/SQL and SQL To elaborate on this concept further, during execution of PL/SQL code, the PL/SQL engine hands over execution of an embedded SQL statement to the SQL engine When the SQL statement execution is over, the control passes back to PL/SQL engine, and so on The overhead of this context switch adds up in a loop such as the one without bulk binding shown previously In the first for loop, with each iteration the loop counter i needs to be incremented (using the PL/SQL context), and then the insert statement needs to be executed (using the SQL context).

Bulk binding avoids this by batching the SQL executions with fewer context switches, thus improving performance Performance Impact of Bulk Binding Let s look at an example that demonstrates bulk binding syntax and also showcases its performance impact We begin by creating two collection types as follows: benchmark@ORA10G> create or replace type object_name_list as table of varchar2(30); 2 / Type created benchmark@ORA10G> create or replace type object_id_list as table of number; 2 / Type created..

Now, as you are looking at a new section (by dragging the mouse), the sections bordering the current one are downloading in the background, as are the relevant satellite photographs for the section of map you are viewing..

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Next, we create two identical tables, t4 and t5, with each having an object_name and object_id column from the all_objects table (note that the tables are created empty): benchmark@ORA10G> create table t4 as 2 select object_name, object_id 3 from all_objects 4 where 1 != 1; Table created. benchmark@ORA10G> create table t5 as 2 select object_name, object_id 3 from all_objects 4 where 1 != 1; Table created. Now we create two procedures. The first one is called no_bulk_bind. As its name suggests, this procedure inserts a number of records (35,000) into table t4 without using bulk binding in a simple for loop (pretend that the code cannot be written using a single SQL statement): benchmark@ORA10G> create or replace procedure no_bulk_bind( p_object_name_list in object_name_list, p_object_id_list in object_id_list ) 2 as 3 begin 4 for i in 1..p_object_name_list.count loop 5 insert into t4( object_name, object_id) values( p_object_name_list(i), p_object_id_list(i)); 6 end loop; 7 end; 8 / Procedure created. The second procedure, bulk_bind, uses the forall syntax to insert the same number of records using bulk bind, this time into table t5: benchmark@ORA10G> create or replace procedure bulk_bind( p_object_name_list in object_name_list, p_object_id_list in object_id_list ) 2 as 3 begin 4 forall i in 1..p_object_name_list.count 5 insert into t5( object_name, object_id) values( p_object_name_list(i), p_object_id_list(i)); 6 end; 7 / Procedure created.

private static final int BENCHMARK_MIDDLE_INDEX = 1; private static final int BENCHMARK_STOP_INDEX = 2; private static final int DEFAULT_BENCHMARK_DIFFERENCE_THRESHOLD = 0; } Once again, you should revisit this class to understand the mechanics of it after reading 6. For now, let s focus on how to invoke this program to compare the same two queries compared in the section Using runstats. The following program, DemoJRunstats, does just that. It uses the PreparedStatement class to execute the queries (you ll learn about the PreparedStatement classes in 5). The program begins by importing JDBC classes: /* This program demonstrates how to use the JRunstats utility */ package book.util; import java.sql.ResultSet; import java.sql.SQLException; import java.sql.PreparedStatement; import java.sql.Connection; public class DemoJRunstats { public static void main(String[] args) throws Exception { Then we define two query statements in string variables: String queryUsingCBO = "select count(*) " + "from t1, t " + "where t1.x = t.x " + "and t1.x = "; String queryUsingRBO = "select /*+ RULE */ count(*) " + "from t1, t " + "where t1.x = t.x " + "and t1.x = "; Next, we obtain the JDBC connection as the user BENCHMARK using the utility class JDBCUtil (the logic of how to get a JDBC connection is explained in 3): Connection conn = null; try { conn = JDBCUtil.getConnection("benchmark", "benchmark", "ora10g"); We prepare all the benchmarking statements in JRunstats: JRunstats.prepareBenchmarkStatements( conn ); Then we mark the beginning of the runstats run (this internally invokes runstats_pkg.rs_start): JRunstats.markStart( conn );

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