Published: 31 Oct 2007
By:
Chinh Do describes techniques to improve application performance with bulk operations using ODP.NET.
In a typical multi-tier application, one of the biggest performance bottlenecks is the overhead of making round-trips to the database. Minimizing these round-trips is often the first area you should look at during performance tuning. Fortunately, the Oracle Data Provider for .NET (ODP.NET) makes it fairly easy to do this by providing several built-in methods to write and read data in bulk.
To run the code samples in this article, you will need to have:
Here's the script that creates the table BULK_TEST:
1.
CREATE
TABLE
BULK_TEST
2.
(
3.
EMPLOYEE_ID NUMBER(10)
NOT
NULL
,
4.
FIRST_NAME VARCHAR2(64 BYTE)
NOT
NULL
,
5.
LAST_NAME VARCHAR2(64 BYTE)
NOT
NULL
,
6.
DOB
DATE
NOT
NULL
7.
);
The Array Binding feature in ODP.NET allows you to insert multiple records in one database call. To use Array Binding, you simply setOracleCommand.ArrayBindCount
to the number of records to be inserted, and pass arrays of values as parameters instead of single values:
01.
string
sql =
02.
"insert into bulk_test (employee_id, first_name, last_name, dob) "
03.
+
"values (:employee_id, :first_name, :last_name, :dob)"
;
04.
05.
OracleConnection cnn =
new
OracleConnection(connectString);
06.
cnn.Open();
07.
OracleCommand cmd = cnn.CreateCommand();
08.
cmd.CommandText = sql;
09.
cmd.CommandType = CommandType.Text;
10.
cmd.BindByName =
true
;
11.
12.
// To use ArrayBinding, we need to set ArrayBindCount
13.
cmd.ArrayBindCount = numRecords;
14.
15.
// Instead of single values, we pass arrays of values as parameters
16.
cmd.Parameters.Add(
":employee_id"
, OracleDbType.Int32,
17.
employeeIds, ParameterDirection.Input);
18.
cmd.Parameters.Add(
":first_name"
, OracleDbType.Varchar2,
19.
firstNames, ParameterDirection.Input);
20.
cmd.Parameters.Add(
":last_name"
, OracleDbType.Varchar2,
21.
lastNames, ParameterDirection.Input);
22.
cmd.Parameters.Add(
":dob"
, OracleDbType.Date,
23.
dobs, ParameterDirection.Input);
24.
cmd.ExecuteNonQuery();
25.
cnn.Close();
As you can see, the code does not look that much different from doing a regular single-record insert. However, the performance improvement is quite drastic, depending on the number of records involved. The more records you have to insert, the bigger the performance gain. On my development PC, inserting 1,000 records using Array Binding is 90 times faster than inserting the records one at a time. Yes, you read that right: 90 times faster! Your results will vary, depending on the record size and network speed/bandwidth to the database server.
A bit of investigative work reveals that the SQL is considered to be "executed" multiple times on the server side. The evidence comes from V$SQL
(look at the EXECUTIONS column). However, from the .NET point of view, everything was done in one call.
PL/SQL Associative Arrays (formerly PL/SQL Index-By Tables) allow .NET code to pass arrays as parameters to PL/SQL code (stored procedure or anonymous PL/SQL blocks). Once the arrays are in PL/SQL, you are free to use them in whichever way you wish, including turning around and inserting them into a table using the "forall" bulk bind syntax.
Why would you want to insert bulk records using PL/SQL Associative Arrays instead of the simple syntax of Array Binding? Here are a few possible reasons:
The major drawback with using Associative Arrays is that you have to write PL/SQL code. I have nothing against PL/SQL, but it's not part of the skill set of the typical .NET developer. To most .NET developers, PL/SQL will be harder to write and maintain, so you will have to weigh this drawback against the potential gain in performance.
In the following example, we use PL/SQL Associative Arrays to insert 1,000 records, and returning a Ref Cursor at the end. As you can see, there's quite a bit of more code to write:
01.
OracleConnection cnn =
new
OracleConnection(connectString);
02.
cnn.Open();
03.
OracleCommand cmd = cnn.CreateCommand();
04.
string
sql =
"declare "
05.
+
"type t_emp_id is table of bulk_test.employee_id%type index by pls_integer; "
06.
+
"type t_first_name is table of bulk_test.first_name%type index by pls_integer; "
07.
+
"type t_last_name is table of bulk_test.last_name%type index by pls_integer; "
08.
+
"type t_dob is table of bulk_test.dob%type index by pls_integer; "
09.
+
"p_emp_id t_emp_id; "
10.
+
"p_first_name t_first_name; "
11.
+
"p_last_name t_last_name; "
12.
+
"p_dob t_dob; "
13.
+
"begin "
14.
+
" p_emp_id := :emp_id; "
15.
+
" p_first_name := :first_name; "
16.
+
" p_last_name := :last_name; "
17.
+
" p_dob := :dob; "
18.
+
" forall i in p_emp_id.first..p_emp_id.last "
19.
+
" insert into bulk_test (employee_id, first_name, last_name, dob) "
20.
+
" values (p_emp_id(i), p_first_name(i) , p_last_name(i), p_dob(i)); "
21.
+
" open :c1 for "
22.
+
" select employee_id, first_name, last_name, dob from bulk_test;"
23.
+
"end;"
;
24.
cmd.CommandText = sql;
25.
26.
OracleParameter pEmpId =
new
OracleParameter(
":emp_id"
,
27.
OracleDbType.Int32,
28.
numRecords, ParameterDirection.Input);
29.
pEmpId.CollectionType = OracleCollectionType.PLSQLAssociativeArray;
30.
pEmpId.Value = employeeIds;
31.
32.
OracleParameter pFirstName =
new
OracleParameter(
":first_name"
,
33.
OracleDbType.Varchar2, numRecords,
34.
ParameterDirection.Input);
35.
pFirstName.CollectionType = OracleCollectionType.PLSQLAssociativeArray;
36.
pFirstName.Value = firstNames;
37.
38.
OracleParameter pLastName =
new
OracleParameter(
":last_name"
,
39.
OracleDbType.Varchar2, numRecords,
40.
ParameterDirection.Input);
41.
pLastName.CollectionType = OracleCollectionType.PLSQLAssociativeArray;
42.
pLastName.Value = lastNames;
43.
44.
OracleParameter pDob =
new
OracleParameter(
":dob"
,
45.
OracleDbType.Date, numRecords,
46.
ParameterDirection.Input);
47.
pDob.CollectionType = OracleCollectionType.PLSQLAssociativeArray;
48.
pDob.Value = dobs;
49.
50.
OracleParameter pRefCursor =
new
OracleParameter();
51.
pRefCursor.OracleDbType = OracleDbType.RefCursor;
52.
pRefCursor.Direction = ParameterDirection.ReturnValue;
53.
54.
cmd.Parameters.Add(pEmpId);
55.
cmd.Parameters.Add(pFirstName);
56.
cmd.Parameters.Add(pLastName);
57.
cmd.Parameters.Add(pDob);
58.
cmd.Parameters.Add(pRefCursor);
59.
60.
int
rows = cmd.ExecuteNonQuery();
61.
62.
OracleDataReader dr = ((OracleRefCursor) pRefCursor.Value).GetDataReader();
63.
while
(dr.Read())
64.
{
65.
// Process cursor
66.
}
67.
cnn.Close();
ODP.NET Ref Cursors are objects that point to Oracle server-side cursors (or result sets). The important thing to .NET developers is that a Ref Cursor can be converted to the familiar OracleDataReader. With Ref Cursors, the logic to open result sets can be written entirely in PL/SQL and the results returned to .NET via Ref Cursors.
Why would you want to use Ref Cursors, instead of just doing an ExecuteReader
with a SELECT statement? Here are some possible reasons:
Here is a real world example. Say you need to update a record in the Orders table and insert a new record into the OrdersAudit table at the same time. Instead of executing two database calls, you can wrap everything into an anonymous PL/SQL block and make one database call.
See the previous section for code example using a Ref Cursor.
Controlling the FetchSize
property is another method to minimize server round-trips. When you read data from the server using the OracleDataReader object, ODP.NET retrieves the data for you in chunks behind the scene. By default, a 64K chunk of data is retrieved each time. However, you can change the chunk size by setting the FetchSize
property. By increasing FetchSize
, you will lower the number of data retrieval round-trips and increase the overall retrieval operation.
It's typical to set the FetchSize
property is to the RowSize
(of the OracleCommand object) multiplied by the number of records expected:
1.
OracleDataReader dr = cmd.ExecuteReader();
2.
dr.FetchSize = cmd.RowSize * numRecords;
3.
while
(dr.Read())
4.
{
5.
// Perform reads...
6.
}
When working with a Ref Cursor, the OracleCommand.RowSize
property is always zero. You either have to calculate the row size at design time or use reflection at run-time to determine the RowSize by looking at the instance variable m_rowSize
on the OracleDataReader object:
1.
FieldInfo fi = dr.GetType().GetField(
"m_rowSize"
2.
, BindingFlags.Instance | BindingFlags.NonPublic);
3.
int
rowSize = (
int
) fi.GetValue(dr);
On my development PC, when reading 10,000 records from BULK_TEST, setting FetchSize
=
RowSize
*
<total
number
of
records>
improves the total elapsed time by a factor of two over leaving FetchSize
at the default value (985 vs. 407 milliseconds).
For clarity purposes, the example code in this article does not use the "using" pattern for IDisposable objects. It's recommended that you always use "using" with IDisposable objects such as OracleConnection or OracleCommand.
In this article, we looked at how various bulk operations in ODP.NET 2.0 can help you improve the performance of your ODP.NET application. Being familiar with these techniques can help you plan, design and implement applications that meet performance goals.