I am getting an ORA-01000 SQL exception. So I have some queries related to it.
If your application is a Java EE application running on Oracle WebLogic as the application server, a possible cause for this issue is the Statement Cache Size setting in WebLogic.
If the Statement Cache Size setting for a particular data source is about equal to, or greater than, the Oracle database maximum open cursor count setting, then all of the open cursors can be consumed by cached SQL statements that are held open by WebLogic, resulting in the ORA-01000 error.
To address this, reduce the Statement Cache Size setting for each WebLogic datasource that points to the Oracle database to be significantly less than the maximum cursor count setting on the database.
In the WebLogic 10 Admin Console, the Statement Cache Size setting for each data source can be found at Services (left nav) > Data Sources > (individual data source) > Connection Pool tab.
I faced the same problem (ORA-01000) today. I had a for loop in the try{}, to execute a SELECT statement in an Oracle DB many times, (each time changing a parameter), and in the finally{} I had my code to close Resultset, PreparedStatement and Connection as usual. But as soon as I reached a specific amount of loops (1000) I got the Oracle error about too many open cursors.
Based on the post by Andrew Alcock above, I made changes so that inside the loop, I closed each resultset and each statement after getting the data and before looping again, and that solved the problem.
Additionaly, the exact same problem occured in another loop of Insert Statements, in another Oracle DB (ORA-01000), this time after 300 statements. Again it was solved in the same way, so either the PreparedStatement or the ResultSet or both, count as open cursors until they are closed.
I faced the same issue because I was querying db for more than 1000 iterations. I have used try and finally in my code. But was still getting error.
To solve this I just logged into oracle db and ran below query:
ALTER SYSTEM SET open_cursors = 8000 SCOPE=BOTH;
And this solved my problem immediately.
This problem mainly happens when you are using connection pooling because when you close connection that connection go back to the connection pool and all cursor associated with that connection never get closed as the connection to database is still open. So one alternative is to decrease the idle connection time of connections in pool, so may whenever connection sits idle in connection for say 10 sec , connection to database will get closed and new connection created to put in pool.
ORA-01000, the maximum-open-cursors error, is an extremely common error in Oracle database development. In the context of Java, it happens when the application attempts to open more ResultSets than there are configured cursors on a database instance.
Common causes are:
Configuration mistake
Solution:
Cursor leak
This section describes some of the theory behind cursors and how JDBC should be used. If you don't need to know the background, you can skip this and go straight to 'Eliminating Leaks'.
A cursor is a resource on the database that holds the state of a query, specifically the position where a reader is in a ResultSet. Each SELECT statement has a cursor, and PL/SQL stored procedures can open and use as many cursors as they require. You can find out more about cursors on Orafaq.
A database instance typically serves several different schemas, many different users each with multiple sessions. To do this, it has a fixed number of cursors available for all schemas, users and sessions. When all cursors are open (in use) and request comes in that requires a new cursor, the request fails with an ORA-010000 error.
The number is normally configured by the DBA on installation. The number of cursors currently in use, the maximum number and the configuration can be accessed in the Administrator functions in Oracle SQL Developer. From SQL it can be set with:
ALTER SYSTEM SET OPEN_CURSORS=1337 SID='*' SCOPE=BOTH;
The JDBC objects below are tightly coupled to the following database concepts:
JDBC is thread safe: It is quite OK to pass the various JDBC objects between threads.
For example, you can create the connection in one thread; another thread can use this connection to create a PreparedStatement and a third thread can process the result set. The single major restriction is that you cannot have more than one ResultSet open on a single PreparedStatement at any time. See Does Oracle DB support multiple (parallel) operations per connection?
Note that a database commit occurs on a Connection, and so all DML (INSERT, UPDATE and DELETE's) on that connection will commit together. Therefore, if you want to support multiple transactions at the same time, you must have at least one Connection for each concurrent Transaction.
A typical example of executing a ResultSet is:
Statement stmt = conn.createStatement();
try {
ResultSet rs = stmt.executeQuery( "SELECT FULL_NAME FROM EMP" );
try {
while ( rs.next() ) {
System.out.println( "Name: " + rs.getString("FULL_NAME") );
}
} finally {
try { rs.close(); } catch (Exception ignore) { }
}
} finally {
try { stmt.close(); } catch (Exception ignore) { }
}
Note how the finally clause ignores any exception raised by the close():
In Java 7, Oracle has introduced the AutoCloseable interface which replaces most of the Java 6 boilerplate with some nice syntactic sugar.
JDBC objects can be safely held in local variables, object instance and class members. It is generally better practice to:
There is, however, one exception: If you are using EJBs, or a Servlet/JSP container, you have to follow a strict threading model:
There are a number of processes and tools available for helping detect and eliminating JDBC leaks:
During development - catching bugs early is by far the best approach:
Development practices: Good development practices should reduce the number of bugs in your software before it leaves the developer's desk. Specific practices include:
Static Code Analysis: Use a tool like the excellent Findbugs to perform a static code analysis. This picks up many places where the close() has not been correctly handled. Findbugs has a plugin for Eclipse, but it also runs standalone for one-offs, has integrations into Jenkins CI and other build tools
At runtime:
Holdability and commit
Logging at runtime.
You can add a debugging JDBC driver to your project (for debugging - don't actually deploy it). One example (I have not used it) is log4jdbc. You then need to do some simple analysis on this file to see which executes don't have a corresponding close. Counting the open and closes should highlight if there is a potential problem
Weak and soft references are ways of allowing you to reference an object in a way that allows the JVM to garbage collect the referent at any time it deems fit (assuming there are no strong reference chains to that object).
If you pass a ReferenceQueue in the constructor to the soft or weak Reference, the object is placed in the ReferenceQueue when the object is GC'ed when it occurs (if it occurs at all). With this approach, you can interact with the object's finalization and you could close or finalize the object at that moment.
Phantom references are a bit weirder; their purpose is only to control finalization, but you can never get a reference to the original object, so it's going to be hard to call the close() method on it.
However, it is rarely a good idea to attempt to control when the GC is run (Weak, Soft and PhantomReferences let you know after the fact that the object is enqueued for GC). In fact, if the amount of memory in the JVM is large (eg -Xmx2000m) you might never GC the object, and you will still experience the ORA-01000. If the JVM memory is small relative to your program's requirements, you may find that the ResultSet and PreparedStatement objects are GCed immediately after creation (before you can read from them), which will likely fail your program.
TL;DR: The weak reference mechanism is not a good way to manage and close Statement and ResultSet objects.
Using batch processing will result in less overhead. See the following link for examples: http://www.tutorialspoint.com/jdbc/jdbc-batch-processing.htm