I'm using Oracle SQL Developer version 4.02.15.21.
I need to write a query that accesses multiple databases. All that I'm trying to do is get a list of all the IDs present in "TableX" (There is an instance of Table1 in each of these databases, but with different values) in each database and union all of the results together into one big list.
My problem comes with accessing more than 4 databases -- I get this error: ORA-02020: too many database links in use. I cannot change the INIT.ORA file's open_links maximum limit.
So I've tried dynamically opening/closing these links:
SELECT Local.PUID FROM TableX Local
UNION ALL
----
SELECT Xdb1.PUID FROM TableX#db1 Xdb1;
ALTER SESSION CLOSE DATABASE LINK db1
UNION ALL
----
SELECT Xdb2.PUID FROM TableX#db2 Xdb2;
ALTER SESSION CLOSE DATABASE LINK db2
UNION ALL
----
SELECT Xdb3.PUID FROM TableX#db3 Xdb3;
ALTER SESSION CLOSE DATABASE LINK db3
UNION ALL
----
SELECT Xdb4.PUID FROM TableX#db4 Xdb4;
ALTER SESSION CLOSE DATABASE LINK db4
UNION ALL
----
SELECT Xdb5.PUID FROM TableX#db5 Xdb5;
ALTER SESSION CLOSE DATABASE LINK db5
However this produces 'ORA-02081: database link is not open.' On whichever db is being closed out last.
Can someone please suggest an alternative or adjustment to the above?
Please provide a small sample of your suggestion with syntactically correct SQL if possible.
If you can't change the open_links setting, you cannot have a single query that selects from all the databases you want to query.
If your requirement is to query a large number of databases via database links, it seems highly reasonable to change the open_links setting. If you have one set of people telling you that you need to do X (query data from a large number of tables) and another set of people telling you that you cannot do X, it almost always makes sense to have those two sets of people talk and figure out which imperative wins.
If we can solve the problem without writing a single query, then you have options. You can write a bit of PL/SQL, for example, that selects the data from each table in turn and does something with it. Depending on the number of database links involved, it may make sense to write a loop that generates a dynamic SQL statement for each database link, executes the SQL, and then closes the database link.
If you want need to provide a user with the ability to run a single query that returns all the data, you can write a pipelined table function that implements this sort of loop with dynamic SQL and then let the user query the pipelined table function. This isn't really a single query that fetches the data from all the tables. But it is as close as you're likely to get without modifying the open_links limit.
I am getting an ORA-01000 SQL exception. So I have some queries related to it.
Are maximum open cursors exactly related to number of JDBC connections, or are they also related to the statement and resultset objects we have created for a single connection ? (We are using pool of connections)
Is there a way to configure the number of statement/resultset objects in the database (like connections) ?
Is it advisable to use instance variable statement/resultset object instead of method local statement/resultset object in a single threaded environment ?
Does executing a prepared statement in a loop cause this issue ? (Of course, I could have used sqlBatch) Note: pStmt is closed once loop is over.
{ //method try starts
String sql = "INSERT into TblName (col1, col2) VALUES(?, ?)";
pStmt = obj.getConnection().prepareStatement(sql);
pStmt.setLong(1, subscriberID);
for (String language : additionalLangs) {
pStmt.setInt(2, Integer.parseInt(language));
pStmt.execute();
}
} //method/try ends
{ //finally starts
pStmt.close()
} //finally ends
What will happen if conn.createStatement() and conn.prepareStatement(sql) are called multiple times on single connection object ?
Edit1:
6. Will the use of Weak/Soft reference statement object help in preventing the leakage ?
Edit2:
1. Is there any way, I can find all the missing "statement.close()"s in my project ? I understand it is not a memory leak. But I need to find a statement reference (where close() is not performed) eligible for garbage collection ? Any tool available ? Or do I have to analyze it manually ?
Please help me understand it.
Solution
To find the opened cursor in Oracle DB for username -VELU
Go to ORACLE machine and start sqlplus as sysdba.
[oracle#db01 ~]$ sqlplus / as sysdba
Then run
SELECT A.VALUE,
S.USERNAME,
S.SID,
S.SERIAL#
FROM V$SESSTAT A,
V$STATNAME B,
V$SESSION S
WHERE A.STATISTIC# = B.STATISTIC#
AND S.SID = A.SID
AND B.NAME = 'opened cursors current'
AND USERNAME = 'VELU';
If possible please read my answer for more understanding of my solution
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
You have more threads in your application querying the database than cursors on the DB. One case is where you have a connection and thread pool larger than the number of cursors on the database.
You have many developers or applications connected to the same DB instance (which will probably include many schemas) and together you are using too many connections.
Solution:
Increasing the number of cursors on the database (if resources allow) or
Decreasing the number of threads in the application.
Cursor leak
The applications is not closing ResultSets (in JDBC) or cursors (in stored procedures on the database)
Solution: Cursor leaks are bugs; increasing the number of cursors on the DB simply delays the inevitable failure. Leaks can be found using static code analysis, JDBC or application-level logging, and database monitoring.
Background
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'.
What is a cursor?
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.
Finding and setting the number of cursors
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;
Relating JDBC in the JVM to cursors on the DB
The JDBC objects below are tightly coupled to the following database concepts:
JDBC Connection is the client representation of a database session and provides database transactions. A connection can have only a single transaction open at any one time (but transactions can be nested)
A JDBC ResultSet is supported by a single cursor on the database. When close() is called on the ResultSet, the cursor is released.
A JDBC CallableStatement invokes a stored procedure on the database, often written in PL/SQL. The stored procedure can create zero or more cursors, and can return a cursor as a JDBC ResultSet.
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.
Closing JDBC objects
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():
If you simply close the ResultSet without the try {} catch {}, it might fail and prevent the Statement being closed
We want to allow any exception raised in the body of the try to propagate to the caller.
If you have a loop over, for example, creating and executing Statements, remember to close each Statement within the loop.
In Java 7, Oracle has introduced the AutoCloseable interface which replaces most of the Java 6 boilerplate with some nice syntactic sugar.
Holding JDBC objects
JDBC objects can be safely held in local variables, object instance and class members. It is generally better practice to:
Use object instance or class members to hold JDBC objects that are reused multiple times over a longer period, such as Connections and PreparedStatements
Use local variables for ResultSets since these are obtained, looped over and then closed typically within the scope of a single function.
There is, however, one exception: If you are using EJBs, or a Servlet/JSP container, you have to follow a strict threading model:
Only the Application Server creates threads (with which it handles incoming requests)
Only the Application Server creates connections (which you obtain from the connection pool)
When saving values (state) between calls, you have to be very careful. Never store values in your own caches or static members - this is not safe across clusters and other weird conditions, and the Application Server may do terrible things to your data. Instead use stateful beans or a database.
In particular, never hold JDBC objects (Connections, ResultSets, PreparedStatements, etc) over different remote invocations - let the Application Server manage this. The Application Server not only provides a connection pool, it also caches your PreparedStatements.
Eliminating leaks
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:
Pair programming, to educate those without sufficient experience
Code reviews because many eyes are better than one
Unit testing which means you can exercise any and all of your code base from a test tool which makes reproducing leaks trivial
Use existing libraries for connection pooling rather than building your own
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
If the ResultSet holdability is ResultSet.CLOSE_CURSORS_OVER_COMMIT, then the ResultSet is closed when the Connection.commit() method is called. This can be set using Connection.setHoldability() or by using the overloaded Connection.createStatement() method.
Logging at runtime.
Put good log statements in your code. These should be clear and understandable so the customer, support staff and teammates can understand without training. They should be terse and include printing the state/internal values of key variables and attributes so that you can trace processing logic. Good logging is fundamental to debugging applications, especially those that have been deployed.
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
Monitoring the database. Monitor your running application using the tools such as the SQL Developer 'Monitor SQL' function or Quest's TOAD. Monitoring is described in this article. During monitoring, you query the open cursors (eg from table v$sesstat) and review their SQL. If the number of cursors is increasing, and (most importantly) becoming dominated by one identical SQL statement, you know you have a leak with that SQL. Search your code and review.
Other thoughts
Can you use WeakReferences to handle closing connections?
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.
I am adding few more understanding.
Cursor is only about a statement objecct; It is neither resultSet nor the connection object.
But still we have to close the resultset to free some oracle memory. Still if you don't close the resultset that won't be counted for CURSORS.
Closing Statement object will automatically close resultset object too.
Cursor will be created for all the SELECT/INSERT/UPDATE/DELETE statement.
Each ORACLE DB instance can be identified using oracle SID; similarly ORACLE DB can identify each connection using connection SID. Both SID are different.
So ORACLE session is nothing but a jdbc(tcp) connection; which is nothing but one SID.
If we set maximum cursors as 500 then it is only for one JDBC session/connection/SID.
So we can have many JDBC connection with its respective no of cursors (statements).
Once the JVM is terminated all the connections/cursors will be closed, OR JDBCConnection is closed CURSORS with respect to that connection will be closed.
Loggin as sysdba.
In Putty (Oracle login):
[oracle#db01 ~]$ sqlplus / as sysdba
In SqlPlus:
UserName: sys as sysdba
Set session_cached_cursors value to 0 so that it wont have closed cursors.
alter session set session_cached_cursors=0
select * from V$PARAMETER where name='session_cached_cursors'
Select existing OPEN_CURSORS valuse set per connection in DB
SELECT max(a.value) as highest_open_cur, p.value as max_open_cur FROM v$sesstat a, v$statname b, v$parameter p WHERE a.statistic# = b.statistic# AND b.name = 'opened cursors current' AND p.name= 'open_cursors' GROUP BY p.value;
Below is the query to find the SID/connections list with open cursor values.
SELECT a.value, s.username, s.sid, s.serial#
FROM v$sesstat a, v$statname b, v$session s
WHERE a.statistic# = b.statistic# AND s.sid=a.sid
AND b.name = 'opened cursors current' AND username = 'SCHEMA_NAME_IN_CAPS'
Use the below query to identify the sql's in the open cursors
SELECT oc.sql_text, s.sid
FROM v$open_cursor oc, v$session s
WHERE OC.sid = S.sid
AND s.sid=1604
AND OC.USER_NAME ='SCHEMA_NAME_IN_CAPS'
Now debug the Code and Enjoy!!! :)
Correct your Code like this:
try
{ //method try starts
String sql = "INSERT into TblName (col1, col2) VALUES(?, ?)";
pStmt = obj.getConnection().prepareStatement(sql);
pStmt.setLong(1, subscriberID);
for (String language : additionalLangs) {
pStmt.setInt(2, Integer.parseInt(language));
pStmt.execute();
}
} //method/try ends
finally
{ //finally starts
pStmt.close()
}
Are you sure, that you're really closing your pStatements, connections and results?
To analyze open objects you can implment a delegator pattern, which wraps code around your statemant, connection and result objects. So you'll see, if an object will successfully closed.
An Example for: pStmt = obj.getConnection().prepareStatement(sql);
class obj{
public Connection getConnection(){
return new ConnectionDelegator(...here create your connection object and put it into ...);
}
}
class ConnectionDelegator implements Connection{
Connection delegates;
public ConnectionDelegator(Connection con){
this.delegates = con;
}
public Statement prepareStatement(String sql){
return delegates.prepareStatement(sql);
}
public void close(){
try{
delegates.close();
}finally{
log.debug(delegates.toString() + " was closed");
}
}
}
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 too had faced this issue.The below exception used to come
java.sql.SQLException: - ORA-01000: maximum open cursors exceeded
I was using Spring Framework with Spring JDBC for dao layer.
My application used to leak cursors somehow and after few minutes or so, It used to give me this exception.
After a lot of thorough debugging and analysis, I found that there was the problem with the Indexing, Primary Key and Unique Constraints in one of the Table being used in the Query i was executing.
My application was trying to update the Columns which were mistakenly Indexed.
So, whenever my application was hitting the update query on the indexed columns, The database was trying to do the reindexing based on the updated values. It was leaking the cursors.
I was able to solve the problem by doing Proper Indexing on the columns which were used to search in the query and applying appropriate constraints wherever required.
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.
Did you set autocommit=true? If not try this:
{ //method try starts
String sql = "INSERT into TblName (col1, col2) VALUES(?, ?)";
Connection conn = obj.getConnection()
pStmt = conn.prepareStatement(sql);
for (String language : additionalLangs) {
pStmt.setLong(1, subscriberID);
pStmt.setInt(2, Integer.parseInt(language));
pStmt.execute();
conn.commit();
}
} //method/try ends {
//finally starts
pStmt.close()
} //finally ends
query to find sql that opened.
SELECT s.machine, oc.user_name, oc.sql_text, count(1)
FROM v$open_cursor oc, v$session s
WHERE oc.sid = s.sid
and S.USERNAME='XXXX'
GROUP BY user_name, sql_text, machine
HAVING COUNT(1) > 2
ORDER BY count(1) DESC
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.
Using batch processing will result in less overhead. See the following link for examples:
http://www.tutorialspoint.com/jdbc/jdbc-batch-processing.htm
In our case, we were using Hibernate and we had many variables referencing the same Hibernate mapped entity. We were creating and saving these references in a loop. Each reference opened a cursor and kept it open.
We discovered this by using a query to check the number of open cursors while running our code, stepping through with a debugger and selectively commenting things out.
As to why each new reference opened another cursor - the entity in question had collections of other entities mapped to it and I think this had something to do with it (perhaps not just this alone but in combination with how we had configured the fetch mode and cache settings). Hibernate itself has had bugs around failing to close open cursors, though it looks like these have been fixed in later versions.
Since we didn't really need to have so many duplicate references to the same entity anyway, the solution was to stop creating and holding onto all those redundant references. Once we did that the problem when away.
I had this problem with my datasource in WildFly and Tomcat, connecting to a Oracle 10g.
I found that under certain conditions the statement wasn't closed even when the statement.close() was invoked.
The problem was with the Oracle Driver we were using: ojdbc7.jar. This driver is intended for Oracle 12c and 11g, and it seems has some issues when is used with Oracle 10g, so I downgrade to ojdbc5.jar and now everything is running fine.
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.
I ran into this issue after setting the prepared statement cache size to a large value. Apparently, when prepared statements are kept in cache, the cursor stays open.
Is there a way to find the details of the databases accessing our Oracle database using the DB links? Dba_db_links holds the information about the DB links that we have in our database to access other databases, but is there a similar kind of table from where we can find the DB links accessing our database or is that getting recorded some where?
Thanks in Advance.
I agree with Justin, that there's no way to determine an explicit list of all databases that have database links into a given database.
However, it is possible to monitor active database links. You can use the following query to see what sessions are via database links and from which databases:
-- who is querying via dblink?
-- Courtesy of Tom Kyte, via AskTom
-- this script can be used at both ends of the database link
-- to match up which session on the remote database started
-- the local transaction
-- the GTXID will match for those sessions
-- just run the script on both databases
Select /*+ ORDERED */
substr(s.ksusemnm,1,10)||'-'|| substr(s.ksusepid,1,10) "ORIGIN",
substr(g.K2GTITID_ORA,1,35) "GTXID",
substr(s.indx,1,4)||'.'|| substr(s.ksuseser,1,5) "LSESSION" ,
s2.username,
substr(
decode(bitand(ksuseidl,11),
1,'ACTIVE',
0, decode( bitand(ksuseflg,4096) , 0,'INACTIVE','CACHED'),
2,'SNIPED',
3,'SNIPED',
'KILLED'
),1,1
) "S",
substr(w.event,1,10) "WAITING"
from x$k2gte g, x$ktcxb t, x$ksuse s, v$session_wait w, v$session s2
where g.K2GTDXCB =t.ktcxbxba
and g.K2GTDSES=t.ktcxbses
and s.addr=g.K2GTDSES
and w.sid=s.indx
and s2.sid = w.sid;
Hope that helps.
When you create a database link in database A that points at database B, there is no notification sent to database B so there is no data dictionary table in B that will tell you that A has a link to it. As far as B is concerned, database A is simply another client that periodically opens a connection to the database.
Generally, when A wants to create a database link to B, a user will be created in B for this purpose (assuming the database link uses a fixed user rather than the current user) since you don't want the password for this account to expire regularly and you don't want the database link to be broken if a particular human leaves the company and has his or her accounts removed. You can audit connections on B, either for the particular accounts that have been created for database links or across all users, and then look through the audit logs to identify connections that are coming from servers that house other databases.
You might be looking out for this.
Step 1: Check the hash_value of the session in X database.
select sql_hash_value from v$session where sid=&sid;
Step 2: Check the full SQL of the session in X database where the SQL is fired.
select sql_fulltext from v$sql where hash_value=&hash_value;
Step 3: Make a note of all the DB links invloved in the SQL and identify the hosts for those DB links.
select * from dba_db_links where db_link like upper('&db_link');
Step 4: In each host (say only one remote host, pointing to database Y) and database X itself, fire the above query (Tom Kyte's) to gather the session details of sessions coming from remote DBs.
Step 5: In database X, check the SID of interest and its corresponding GTXID. Look for the same GTXID in the remote host Y.
Step 6: Get the session ID from the database Y for this GTXID and check the session waits or other details.
Is it possible to determine the average of concurrent connections on a 10g large database installation?
Any ideas??
This is probably more of a ServerFault question.
On a basic level, you could do this by regularly querying v$session to count the number of current sessions, store that number somewhere, and average it over time.
But there are already good utilities available to help with this. Look into STATSPACK. Then look at the scripts shown here to get you started.
Alternatively you could install a commercial monitoring application like Spotlight on Oracle.
If you have Oracle Enterprise Manager set up you can create a User Defined Metric which records SELECT COUNT(*) FROM V$SESSION. Select Related Links -> User Defined Metrics to set up a new User Defined Metric. Once it collects some data you can get the data out in raw form or it will do some basic graphing for you. As a bonus you can also set up alerting if you want to be e-mailed when the metric reaches a certain value.
The tricky bit is recording the connections. Oracle doesn't do this by default, so if you haven't got anything in place then you won't have a historical record.
The easiest way to start recording connections is with Oracle's built in audit functionality. It's as simple as
audit session
/
We can see the records of each connection in a view called dba_audit_session.
Now what? The following query uses a Common Table Expression to generate a range of datetime values which span 8th July 2009 in five minute chunks. The output of the CTE is joined to the audit view for that date; A count is calulated for each connection which spans a five minute increment.
with t as
( select to_date('08-JUL-2009') + ((level-1) * (300/86400)) as five_mins
from dual connect by level <= 288)
select to_char(t.five_mins, 'HH24:MI') as five_mins
, sum(case when t.five_mins between timestamp and logoff_time
then 1
else 0 end) as connections
from t
, dba_audit_session ssn
where trunc(ssn.timestamp) = to_date('08-JUL-2009')
group by to_char(t.five_mins, 'HH24:MI')
order by t.five_mins
/
You can then use this query as the input into a query which calculates the average number of connections.
This is a fairly crude implementation: I choose five minute increments out of display considerations , but obviously the finer grained the increment the more accurate the measure. Be warned: if you make the increments too fined grained and you have a lot of connections the resultant cross join will take a long time to run!