Statement approach took 17275 ms PreparedStatement approach took 7881 ms in Java

Generating QR Code 2d barcode in Java Statement approach took 17275 ms PreparedStatement approach took 7881 ms
Statement approach took 17275 ms PreparedStatement approach took 7881 ms
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Thus, the overhead required for parsing a SQL statement leads to performance that is more than twice as slow as when a PreparedStatement approach is used Specifically, the speedup with PreparedStatement is
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Now, that was a simple query Suppose we replace the SQL with something more complex to parse, such as
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SELECT efirst_name, elast_name, osnum, stname
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FROM employee e, session_type st, (SELECT employee_id, count(*) num, type_id FROM order_session GROUP BY employee_id, type_id) os WHERE eid = osemployee_id AND ostype_id = stid AND eid = 1
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The results turn out to be
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Statement approach took 99954 ms PreparedStatement approach took 87856 ms
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What happened The speedup has been whittled down to a mere 114 Why is PreparedStatement not as effective here The answer is that the bulk of the time isn't spent in query parsing but in execution The preceding query joins three tables and performs a nested query in addition to a grouping It reminds us that query parsing is indeed only one of three phases involved in query processing
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/* Using a Statement */ long elapsed = SystemcurrentTimeMillis(); Statement stmt = conncreateStatement(); for (int i=0; i<10000; i++) stmtexecuteUpdate("INSERT INTO my_numbers VALUES ("+i+")"); elapsed = SystemcurrentTimeMillis() - elapsed; Systemoutprintln("Statement approach took "+elapsed+" ms");
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/* Using a PreparedStatement */ elapsed = SystemcurrentTimeMillis(); PreparedStatement prepStmt = connprepareStatement( "INSERT INTO my_numbers VALUES ( )"); for (int i=0; i<10000; i++) { prepStmtsetInt(1, i); prepStmtexecuteUpdate(); } elapsed = SystemcurrentTimeMillis() - elapsed; Systemoutprintln("PreparedStatement approach took "+elapsed+" ms");
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The preceding code results in
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Statement approach took 36263 ms PreparedStatement approach took 27930 ms
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Thus, the speedup is 130 We see again that the act of inserting data itself is expensive and dwarfs the impact of using precompiled queries We can visualize these comparisons better when all three tests are graphed, as in Figure 11-2 Figure 11-2 Comparison of query types and approaches
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Use Batch Updates with a Remote Database
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Like prepared statements, batch updates can result in more efficient SQL execution However, the added value of batch updates comes from the decreased network latency and fewer roundtrips between client and server Hypothetically, we need to insert 10,000 rows in a remote database As we saw from the earlier test, the time to execute one INSERT using a PreparedStatement is
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Suppose, however, that our database wasn't local and instead required an average roundtrip time of 50 ms (which is pretty quick, by the way) Then, instead of a 30-second total insert, we would require
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Contrast that with a batch update approach, which would require the same database processing but only one network roundtrip:
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Obviously this is almost indistinguishable from the performance with a local DBMS One caveat with batch updates is that without that network latency, they can actually be slower than PreparedStatement calls The reason is obvious: With a batched Statement, the
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query isn't precompiled Therefore, the resulting execution time with zero network latency is on par with the execution time for a normal StatementexecuteUpdate() call
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Don't Overcommit
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Filed under the heading of "don't use it if you don't need it" is the concept of making all commits explicit As we discussed, the executeUpdate() call does an implicit commit for each call unless a ConnectionsetAutoCommit(false) is made Does committing every update affect performance You bet it does Consider a variation on the INSERT code we saw earlier In this case, two types of PreparedStatement bulk inserts are done (see Listing 11-2) The first test implicitly commits after each executeUpdate(); the second test turns off the auto-commit feature and commits the transaction only after the final insert Listing 11-2 Impact of COMMIT on Performance
long elapsed; /* Using a PreparedStatement */ elapsed = SystemcurrentTimeMillis(); PreparedStatement prepStmt = connprepareStatement( "INSERT INTO my_numbers VALUES ( )"); for (int i=0; i<10000; i++) { prepStmtsetInt(1, i); prepStmtexecuteUpdate(); } elapsed = SystemcurrentTimeMillis() - elapsed; Systemoutprintln("Always-commit approach took "+elapsed+" ms"); connsetAutoCommit(false); elapsed = SystemcurrentTimeMillis(); prepStmt = connprepareStatement( "INSERT INTO my_numbers VALUES ( )"); for (int i=0; i<10000; i++) { prepStmtsetInt(1, i); prepStmtexecuteUpdate(); } elapsed = SystemcurrentTimeMillis() - elapsed; conncommit(); Systemoutprintln("Single-commit approach took "+elapsed+" ms");
Here are the results: