Method to move large amounts of data out of CS into a Windows fileshare

I am looking for the best method that I can script moving files from a Content Services library to a Windows fileshare while preserving the permissions. My intent was to copy data using a WebDAV mount and then using SQL queries to retrieve the permissions set for the library. However, I don't know what tables to query in such a way that it can determine the level of permissions easily.
Does anyone know of doc anywhere that might explain the best method to perform this task? Any help would be appreciate.
Thank you,
Dustin

Thank you again for your help with this. I will check these out. I have very little experience with the APIs. The only experience I have is editing someone else's code to do what I want. It may take some time for me to really dive into this, but I appreciate the good starting point! This should get me on my way.
Thank you.

Similar Messages

Is the only way to import large amount of data and database objects into a primary database is to shutdown the standby, turn off archive log mode, do the import, then rebuild the standby?

I have a primary database that need to import large amount of data and database objects. 1.) Do I shutdown the standby? 2.) Turn off archive log mode? 3.) Perform the import? 4.) Rebuild the standby? or is there a better way or best practice?

Instead of rebuilding the (whole) standby, you take an incremental (from SCN) backup from the Primary and restore it on the Standby. That way, if, for example
a. Only two out of 12 tablespaces are affected by the import, the incremental backup would effectively be only the blocks changed in those two tablespaces (and some other changes in system and undo) {provided that there are no other changes in the other ten tablespaces}
b. if the size of the import is only 15% of the database, the incremental backup to restore to the standby is small
Hemant K Chitale

Writing a large amount of data out.

I am working on a large simulation application. The simulation keeps track of up to 1000 nodes. The simulation is designed to simulate about 20 properties per node every 5 minutes over the course of a year. So for every 5 minutes for that year (about 105,000 times total), it writes out up to 20,000 numbers.
The problem I run into is next. The user needs to be able to select any of these nodes and be able to view graphs for its variables. I obviously can't store that kind of data in memory so I am currently writing it out every 5-minute loop to a large CSV file. The problem is that it takes too long to open that file and parse it all to get complete graphs for a different node. The other problem is due to the setup this is being designed for, a typical database is out of the question.
EX:
for (node = 0; node < nodeList.length; node ++){
writeData(node);
}gives me:
0, time 5, var1, var2, var3, ..., var20
1, time 5, var1, var2, var3, ..., var20
2, time 5, var1, var2, var3, ..., var20
0, time 10, var1, var2, var3, ..., var20
1, time 10, var1, var2, var3, ..., var20
2, time 10, var1, var2, var3, ..., var20
0, time 15, var1, var2, var3, ..., var20
1, time 15, var1, var2, var3, ..., var20
So if I want to get all of the data for node 2 and make graphs for each var vs time, I have to parse through the entire CSV file.
One way I was thinking was to create a folder structure? Create a folder for each node, then a folder for each variable, then just write each variable to its own file? This seems like a poor idea because I would either have many output streams or be constantly opening and closing files....

Sch104 wrote:
The problem I run into is next. The user needs to be able to select any of these nodes and be able to view graphs for its variables. I obviously can't store that kind of data in memory so I am currently writing it out every 5-minute loop to a large CSV file. The problem is that it takes too long to open that file and parse it all to get complete graphs for a different node. The other problem is due to the setup this is being designed for, a typical database is out of the question. I agree that you should investigate using a file-based database implementation, as previously suggested. The folder solution seems to just be messy. If you are convinced you want to do this with files/folders, I'd suggest simply doing anything but a CSV file.
With a CSV file, you have to do a linear scan of the entire file to find record #n. That's because you don't know the length of each line in the CSV file.
If your data is of fixed length (or if you can make it fixed length by padding strings with spaces or null characters) then I would instead suggest using an output file format that has fixed-length rows. As an example, say each record had bytes "a", "b", and "c" and ints "d" and "e" (11 bytes total). Then you would know that in the file, n_offset (begins at byte number) = n * (11) (starting with record #0), that n[a] = n_offset, n[b] = n_offset + 1, etc. With that knowledge, you can read any record you want very easily using a RandomAccessFile (seek method is useful). Using a RandomAccessFile allows you to jump straight to the part of the file you actually want to read, all-but-eliminating the overhead.
Edit: Looking more closely at how you dump the file (the data for a node isn't centralized), it looks like you would still need to do quite a bit of I/O, but this will still be a lot faster than doing CSV. The benefit of using a RandomAccessFile grows as the number of nodes grows, so it would be less benefit with 3 nodes but of large benefit with, as you say, 1000. And most definitely the folder idea would be a bad way of essentially indexing on the node number.
Edited by: endasil on 16-Mar-2009 11:28 PM

Transporting large amounts of data from one database schema to another

Hi,
We need to move large amount of data from one 10.2.0.4 database schema to another 11.2.0.3 database.
Am currently using datapump but quite slow still - having to do in chunks.
Also the datapump files quite large so having to compress and move across the network.
Is there a better/quicker way?
Habe haerd about transportable tablespaces but never used them and don't know about speed - if quicker thana datapump.
tablespace names different in both databases.
Also source database on solaris opertaing system on sun box
target database on aix on ibm power series box.
Any ideas would be great.
Thanks
Edited by: user5716448 on 08-Sep-2012 03:30
Edited by: user5716448 on 08-Sep-2012 03:31

user5716448 wrote:
Hi,
We need to move large amount of data from one 10.2.0.4 database schema to another 11.2.0.3 database.
Pl quantify "large".
Am currently using datapump but quite slow still - having to do in chunks.
Pl quantify "quite slow".
Also the datapump files quite large so having to compress and move across the network.
Again, pl quantify "quite large".
Is there a better/quicker way?
Habe haerd about transportable tablespaces but never used them and don't know about speed - if quicker thana datapump.
tablespace names different in both databases.
Also source database on solaris opertaing system on sun box
target database on aix on ibm power series box.
It may be possible, assuming you do not violate any of these conditions
http://docs.oracle.com/cd/E11882_01/server.112/e25494/tspaces013.htm#ADMIN11396
Any ideas would be great.
Thanks
Edited by: user5716448 on 08-Sep-2012 03:30
Edited by: user5716448 on 08-Sep-2012 03:31Master Note for Transportable Tablespaces (TTS) -- Common Questions and Issues [ID 1166564.1]
HTH
Srini

Uploading of large amount of data

Hi all,
i really hope you can help me. I have to upload quite large amount of data from flat files to ODS (via PSA of course). But the process takes very long time. I used method of loadin to PSA and then packet by packet into ODS. Loading of cca 1.300.000 lines from flat file takes about 6 or more hours. It seems strange for me. Is it normal or not?? Or should I use another uploading method or set up ODS some way ?? thanks

hi jj,
welcome to the SDN!
in my limited experience, 6hrs for 1.3M records is a bit too long. here are some things you could try and look into:
- load from the application server, not from the client computer (meaning, move your file to the server where BW is running, to minimize network traffic).
- check your transfer rules and any customer exits related to loading, as the smallest performance-inefficient bits of code can cause a lot of problems.
- check the size of data packets you're transmitting, as it could also cause problems, via tcode RSCUSTA2 (i think, but i'm not 100% sure).
hope ths helps you out - please remember to give out points as a way of saying thanks to those that help you out okay? =)
ryan.

Query about clustering unrelated large amounts of data together vs. keeping it separate.

I would like to ask the talented enthusiasts who frequent the devolper network to tell me if I have understood how Labview deals with clusters. A generic description of a situation involving clusters and what I believe Labview does is shown below. An example of this type of situation is shown for generating the Fibonacci sequence is attached to illustrate what I am saying.
A description of the general situation:
A cluster containing several different variables (mostly unrelated) has one or two of these variables unbundled for immediate use and then the modified values bundled back into the cluster for later use.
What I think Labview does:
As the original cluster is going into the unbundle (to get original variable values) and the bundle (to update stored variable values) a duplicate of the entire cluster is made before picking out the individual values chosen to be unbundled. This means that if the cluster also contains a large amount of unrelated data then processor time is wasted duplicating this data.
If on the other hand this large amount of data is kept separate then this would not happen and no processor time is wasted.
In the attached file the good method does have the array (large amount of unrelated data) within the cluster and does not use the array in more than one place, so it is not duplicated. If tunnels were used instead, I believe at least one duplicate is made.
Am I correct in thinking that this is the behaviour Labview uses with clusters? (I expected Labview only to duplicate the variable values chosen in the unbundle code object only. As this choice is fixed at compile time it would seem to me that the compiler should be able to recognise that the other cluster variables are never used.)
Is there a way of keeping the efficiency of using many separate variables (potentialy ~50) whilst keeping the ease of using a single cluster variable over using separate variables?
The attachment:
A vi that generates the Fibonacci sequence (the I32 used wraps at ~44th value, so values at that point and later are wrong) is attached. The calculation is itterative using a for loop. 2 variables are needed to perform the iteration which are stored in a cluster (and passed from iteration to iteration within the cluster). To provide the large amount of unrelated data, a large array of reasonably sized strings is provided.
The bad way is to have the array stored within the cluster (causing massive overhead). The good way is to have the array separate from the other pieces of data, even if it passes through the for loop (no massive overhead).
Try replacing the array shift registers with tunnels in the good case and see if you can repeat my observation that using tunnels causes overhead in comparison to shift registers whenever there is no other reason to duplicate the array.
I am running Labview 7 on windows 2000 with sufficient memory so that the page file is not used in this example.
Thank you all very much for your time and for sharing your Labview experience,
Richard Dwan
Attachments:
Fibonacci_test.vi ‏71 KB

> That is an interesting observation you have made and seems to me to be
> quite inexplicable. The trick is interesting but not practical for me
> to use in developing a large piece of software. Thanks for your input
> - I think I'll be contacting technical support for an explaination
> along with some other anomolies involving large arrays that I have
> spottted.
>
The deal here is that the bundle and unbundle nodes must be very careful
when they are swapping elements around. This used to make copies in the
normal cases, but that has been improved. The reason that the sequence
affects it is that it affects the algorithm so that it orders the
element movement so that the algorithm succeeds in avoiding a copy.
Another, more obvious way
is to use a regular bundle and unbundle, not
the named variety. These tend to have an easier time in the algorithm also.
Technically, I'd report the diagram to tech support to see if the named
bundle/unbundle case can be handled as well. In the meantime, you can
leave the data unbundled, as in the faster version.
Greg McKaskle

Looking for ideas for transferring large amounts of data between systems

Hello,
I am looking for ideas based on best practices for transferring Large Amounts of Data in and out of a Netweaver based application.
We have a new system we are developing in Netweaver that will utilize both the Java and ABAP stack, and will require integration with other SAP and 3rd Party Systems. It is a standalone product that doesn't share any form of data store with other systems.
We need to be able to support 10s of millions of records of tabular data coming in and out of our system.
Since we need to integrate with so many different systems, we are planning to use RFC for our primary interface in and out of the system. As it turns out RFC is not good at dealing with this large amount of data being pushed through a single call.
We have considered a number of possible ideas, however we are not very happy with any of them. I would like to see what the community has done in the past to solve problems like this as well as how SAP currently solves this problem in other applications like XI, BI, ERP, etc.

Primoz wrote:Do you use KDE (Dolphin) 4.6 RC or 4.5?
Also I've noticed that if i move / copy things with Dolphin they're substantially slower than if I use cp/mv. But cp/mv works fine for me...
Also run Dolphin from terminal to try and see what's the problem.
Hope that help at least a bit.
Could you explain why Dolphin should be slower? I'm not attacking you, I'm just asking.
Cause I thought that Dolphin is just a „little" wrapper around the cp/mv/cd/ls applications/commands.

Freeze when writing large amount of data to iPod through USB

I used to take backups of my PowerBook to my 60G iPod video. Backups are taken with tar in terminal directly to mounted iPod volume.
Now, every time I try to write a big amount of data to iPod (from MacBook Pro), the whole system freezes (mouse cursor moves, but nothing else can be done). When the USB-cable is pulled off, the system recovers and acts as it should. This problem happens every time a large amount of data is written to iPod.
The same iPod works perfectly (when backupping) in PowerBook and small amounts of data can be easily written to it (in MacBook Pro) without problems.
Does anyone else have the same problem? Any ideas why is this and how to resolve the issue?
MacBook Pro, 2.0Ghz, 100GB 7200RPM, 1GB Ram Mac OS X (10.4.5) IPod Video 60G connected through USB

Ex PC user...never had a problem.
Got a MacBook Pro last week...having the same issues...and this is now with an exchanged machine!
I've read elsewhere that it's something to do with the USB timing out. And if you get a new USB port and attach it (and it's powered separately), it should work. Kind of a bummer, but, those folks who tried it say it works.
Me, I can upload to Ipod piecemeal, manually...but even then, it sometimes freezes.
The good news is that once the Ipod is loaded, the problem shouldnt' happen. It's the large amounts of data.
Apple should DEFINITELY fix this though. Unbelievable.
MacBook Pro 2.0 Mac OS X (10.4.6)

Streaming large amounts of data of socket causes corruption?

I'm wrinting an app to transfer large amounts of data via a simple client/server architecture between two machines.
Problem: If I send the data too 'fast', the data arrives corrupted:
- Calls to read() returns wrong data (wrong 'crc')
- Subsequent calls to read() do not return -1 but allow me to read e.g. another 60 or 80 KBytes.
- available() returns always '0'; but I'll get rid of that method anyway (as recommended in other forum entries).
The behaviour is somewhat difficult to repeat, but it fails for me reliably when transferring the data between two separate machines and when setting the number of packets (Sender.TM) to 1000 or larger.
Workaround: Reduce number of packages send to e.g. 1; or intruduce the 'sleep' on the Sender side. Another workaround: Changing alone to java.nio.* did not help, but when I got rid of the Streams and used solely ByteBuffers, the problem disappeared. Unfortunately the Streams are required by other parts of my application.
I'm running the code on two dual-CPU machines connected via
Below are the code of the Sender and the Listener. Please excuse the style as this is only to demonstrate the problem.
import java.io.IOException;
import java.io.OutputStream;
import java.net.InetSocketAddress;
import java.nio.channels.Channels;
import java.nio.channels.SocketChannel;
import java.util.Arrays;
public class SenderBugStreams {
    public static void main(String[] args) throws IOException {
        InetSocketAddress targetAdr = new InetSocketAddress(args[0], Listener.DEFAULT_PORT);
        System.out.println("connecting to: "+targetAdr);
        SocketChannel socket = SocketChannel.open(targetAdr);
        sendData(socket);
        socket.close();
        System.out.println("Finished.");
    static final int TM = 10000;
    static final int TM_SIZE = 1000;
    static final int CRC = 2;
    static int k = 5;
    private static void sendData(SocketChannel socket) throws IOException {
        OutputStream out = Channels.newOutputStream(socket);
        byte[] ba = new byte[TM_SIZE];
        Arrays.fill(ba, (byte)(k++ % 127));
        System.out.println("Sending..."+k);
        for (int i = 0; i < TM; i++) {
            out.write(ba);
//            try {
//                Thread.sleep(10);
//            } catch (InterruptedException e) {
//                // TODO Auto-generated catch block
//                e.printStackTrace();
//                throw new RuntimeException(e);
        out.write(CRC);
        out.flush();
        out.close();
import java.io.IOException;
import java.io.InputStream;
import java.net.InetSocketAddress;
import java.nio.channels.Channels;
import java.nio.channels.ServerSocketChannel;
import java.nio.channels.SocketChannel;
public class ListenerBugStreams {
    static int DEFAULT_PORT = 44521;
     * @param args
     * @throws IOException
    public static void main(String[] args) throws IOException {
        ServerSocketChannel serverChannel = ServerSocketChannel.open();
        serverChannel.socket().bind(new InetSocketAddress(DEFAULT_PORT));
        System.out.print("Waiting...");
        SocketChannel clientSocket = serverChannel.accept();
        System.out.println(" starting, IP=" + clientSocket.socket().getInetAddress() +
            ", Port="+clientSocket.socket().getLocalPort());
        //read data from socket
        readData(clientSocket);
        clientSocket.close();
        serverChannel.close();
        System.out.println("Closed.");
    private static void readData(SocketChannel clientSocket) throws IOException {
        InputStream in = Channels.newInputStream(clientSocket);
        //read and ingest objects
        byte[] ba = null;
        for (int i = 0; i < SenderBugStreams.TM; i++) {
            ba = new byte[SenderBugStreams.TM_SIZE];
            in.read(ba);
            System.out.print("*");
        //verify checksum
        int crcIn = in.read();
        if (SenderBugStreams.CRC != crcIn) {
            System.out.println("ERROR: Invalid checksum: "+SenderBugStreams.CRC+"/"+crcIn);
        System.out.println(ba[0]);
        int x = in.read();
        int remaining = 0;
        while (x != -1) {
            remaining++;
            x = in.read();
        System.out.println("Remaining:"+in.available()+"/"+remaining);
        System.out.println(" "+SenderBug.TM+" objects ingested.");
        in.close();
}

Here is your trouble:
in.read(ba);read(byte[]) does not read N bytes, it reads up to N bytes. If one byte has arrived then it reads and returns that one byte. You always need to check the return value of read(byte[]) to see how much you got (also check for EOF). TCP chops up the written data to whatever packets it feels like and that makes read(byte[]) pretty random.
You can use DataInputStream which has a readFully() method; it loops calling read() until it gets the full buffer's worth. Or you can write a little static utility readFully() like so:
    // Returns false if hits EOF immediately. Otherwise reads the full buffer's
    // worth. If encounters EOF in mid-packet throws an IOException.
    public static boolean readFully(InputStream in, byte buf[])
        throws IOException
        return readFully(in, buf, 0, buf.length);
    public static boolean readFully(InputStream in, byte buf[], int pos, int len)
        throws IOException
        int got_total = 0;
        while (got_total < len) {
            int got = in.read(buf, pos + got_total, len - got_total);
            if (got == -1) {
                if (got_total == 0)
                    return false;
                throw new EOFException("readFully: end of file; expected " +
                                       len + " bytes, got only " + got_total);
            got_total += got;
        return true;
    }

With journaling, I have found that my computer is saving a large amount of data, logs of all the changes I make to files; how can I clean up these logs?

With journaling, I have found that my computer is saving a large amount of data, logs of all the changes I make to files; how can I clean up these logs?
For example, in Notes, I have written three notes; however if I click on 'All On My Mac' on the side bar, I see about 10 different versions of each note I make, it saves a version every time I add or delete a sentence.
I also noticed, that when I write an email, Mail saves about 10 or more draft versions before the final is sent.
I understand that all this journaling provides a level of security, and prevents data lost; but I was wondering, is there a function to clean up journal logs once in a while?
Thanks
Roz

Are you using Microsoft word? Microsoft thinks the users are idiots. They put up a lot of pointless messages that annoy & worry users. I have seen this message from Microsoft word. It's annoying.
As BDaqua points out...
When you copy information via edit > copy, command + c, edit > cut, or command +x, you place the information on the clipboard. When you paste information, edit > paste or command + v, you copy information from the clipboard to your data file.
If you edit > cut or command + x and you do not paste the information and you quite Word, you could be loosing information. Microsoft is very worried about this. When you quite Word, Microsoft checks if there is information on the clipboard & if so, Microsoft puts out this message.
You should be saving your work more than once a day. I'd save every 5 minutes. command + s does a save.
Robert

Regarding TXT File data truncation due to large amount of data

Hi Guys,
I am downloading data to txt.file in background.I am getting truncation of the records due to large amount of data. If it is less data it works good.
I have checked the Internal table SIZE for this and anywhy i have declared in OCCURS 0 only.
So please help me to find out what may this reason.I am confuced is there any limitation for TXT file??
Please help me guys..
Thanks in advance..
Prabhu.R

Hi Rakesh,
two ways.
1. Ask ur BASIS team to increase the memory level.
2. Check the PACKAGE SIZE option of select statement
Here u won't select all the data once but in packets of specified size. So get the packets of data and process.
Just press F1 on package size. That explanation will be enough to proceed further.
Thanks,
Vinod.

Is there any way to connect time capsule to a MacBook Pro directly via USB. I have a large amount of data that I want to back up and it is taking a very long time (35GB is taking 3 hrs, I have 2TB if files in total)...)?

Perhaps via USB. I have a large amount of data that I want to back up and it is taking a very long time (35GB is taking 3 hrs, I have 2TB if files in total)...? I want to use TimeCapsule as back-up for an archive which is curently stored on a 2 TB WESC HD.

No, you cannot backup via direct usb connection..
But gigabit ethernet is much faster anyway.. are you connected directly by ethernet?
Is the drive you are backing up from plugged into the TC? That will slow it down something chronic.. plug that drive in by its fastest connection method.. WESC sorry I have no idea. If ethernet use that.. otherwise USB direct to the computer.. always think what way the files come and go.. but since you are copying from the computer everything has to go that way.. it makes things slower if they go over the same cable.. if you catch the drift.

How do I pause an iCloud restore for app with large amounts of data?

I am using an iPhone app which is holding 10 Gb of data (media files) .
Unfortunately, although all data was backed up, my iPhone 4 was faulty and needed to be replaced with a new handset. On restore, the 10Gb of data takes a very long time to restore over wi-fi. If interrupted (I reached the halfway point during the night) to go to work or take the dog for a walk, I end up of course on 3G for a short period of time.
Next time I am in a wi-fi zone the app is restoring again right from the beginning
How does anyone restore an app with large amounts of data or pause a restore?

You can use classifications but there is no auto feature to archive like that on web apps.
In terms of the blog, Like I have said to everyone that has posted about blog preview images:
http://www.prettypollution.com.au/business-catalyst-blog
Just one example of an image at the start of the blog post rendering out, not hard at all.

How can I edit large amount of data using Acrobat X Pro

Hello all,
I need to edit a catalog that contains large amount of data - mainly the product price. Currently I can only export the document into excel file and then paste the new price onto the catalog using Acrobat X Pro one by one, which is extremely time-consuming. I am sure there's a better way to make this faster while keeping the accuracy of the data. Thanks a lot in advance if any one's able to help!

Hi Chauhan,
Yes I am able to edit text/image via tool box, but the thing is the catalog contains more than 20,000 price data and all I can do is deleteing the orginal price info from catalog and replace it with the revised data from excel. Repeating this process over 20,000 times would be a waste of time and manpower... Not sure if I make my situation clear enough? Pls just ask away, I really hope to sort it out, Thanks!

Couldn't copy large amount of data from enterprise DB to Oracle 10g

Hi,
I am using i-batis to copy data from enterprise DB to oracle and viceversa.
The datatype of a field on EDB is 'text' and the datatype on oracle is 'SYS.XMLTYPE'
i am binding these to a java string property in a POJO to bind values.
I could successfully copy limited amount of data from EDB to oracle but if there is more data, i am getting the following exceptions with different oracle drivers ( but i could read large amount of data from EDB):
--- Cause: java.sql.SQLException: ORA-01461: can bind a LONG value only for insert into a LONG column
at com.ibatis.sqlmap.engine.mapping.statement.MappedStatement.executeUpdate(MappedStatement.java:107)
at com.ibatis.sqlmap.engine.impl.SqlMapExecutorDelegate.update(SqlMapExecutorDelegate.java:457)
at com.ibatis.sqlmap.engine.impl.SqlMapSessionImpl.update(SqlMapSessionImpl.java:90)
at com.ibatis.sqlmap.engine.impl.SqlMapClientImpl.update(SqlMapClientImpl.java:66)
at com.aqa.pojos.OstBtlData.updateOracleFromEdbBtlWebservice(OstBtlData.java:282)
at com.aqa.pojos.OstBtlData.searchEdbAndUpdateOracleBtlWebservice(OstBtlData.java:258)
com.ibatis.common.jdbc.exception.NestedSQLException:
--- The error occurred in com/aqa/sqlmaps/SQLMaps_OSTBTL_Oracle.xml.
--- The error occurred while applying a parameter map.
--- Check the updateOracleFromEDB-InlineParameterMap.
--- Check the parameter mapping for the 'btlxml' property.
--- Cause: java.sql.SQLException: setString can only process strings of less than 32766 chararacters
at com.ibatis.sqlmap.engine.mapping.statement.MappedStatement.executeUpdate(MappedStatement.java:107)
at com.iba
I have latest oracle 10g jdbc drivers.
remember, i could copy any amount of data from oracle to EDB but not otherway around.
PLease let me know if you have come across this issue, any recommendation is very much appreciated.
Thanks,
CK.

Hi,
I finally remembered how I solved this issue previously.
The jdbc driver isn't able to directly call the insert with a column xml_type. The solution I was using was to build a wrapper function in plSQL.
Here it is (for insert but I suppose tha update will be the same)
create or replace procedure insertXML(file_no_in in number, program_no_in in varchar2, ost_XML_in in clob, btl_XML_in in clob) is
begin
insert into AQAOST_FILES (file_no,program_no,ost_xml,btl_xml) values(file_no_in, program_no_in, xmltype(ost_XML_in), xmltype(btl_XML_in));
end insertXML;
here is the sqlmap file I used
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE sqlMap
PUBLIC "-//ibatis.apache.org//DTD SQL Map 2.0//EN"
"http://ibatis.apache.org/dtd/sql-map-2.dtd">
<sqlMap>
     <typeAlias alias="AqAost" type="com.sg2net.jdbc.AqAost" />
     <insert id="insert" parameterClass="AqAost">
          begin
               insertxml(#fileNo#,#programNo#,#ostXML:CLOB#,#bltXML:CLOB#);
          end;
     </insert>
</sqlMap>
an here is a simple program
package com.sg2net.jdbc;
import java.io.IOException;
import java.io.Reader;
import java.io.StringWriter;
import java.sql.Connection;
import oracle.jdbc.pool.OracleDataSource;
import com.ibatis.common.resources.Resources;
import com.ibatis.sqlmap.client.SqlMapClient;
import com.ibatis.sqlmap.client.SqlMapClientBuilder;
public class TestInsertXMLType {
     * @param args
     public static void main(String[] args) throws Exception {
          // TODO Auto-generated method stub
          String resource="sql-map-config-xmlt.xml";
          Reader reader= Resources.getResourceAsReader(resource);
          SqlMapClient sqlMap = SqlMapClientBuilder.buildSqlMapClient(reader);
          OracleDataSource dataSource= new OracleDataSource();
          dataSource.setUser("test");
          dataSource.setPassword("test");
          dataSource.setURL("jdbc:oracle:thin:@localhost:1521:orcl");
          Connection connection=dataSource.getConnection();
          sqlMap.setUserConnection(connection);
          AqAost aqAost= new AqAost();
          aqAost.setFileNo(3);
          aqAost.setProgramNo("prg");
          Reader ostXMLReader= Resources.getResourceAsReader("ostXML.xml");
          Reader bltXMLReader= Resources.getResourceAsReader("bstXML.xml");
          aqAost.setOstXML(readerToString(ostXMLReader));
          aqAost.setBltXML(readerToString(bltXMLReader));
          sqlMap.insert("insert", aqAost);
          connection.commit();
     public static String readerToString(Reader reader) {
          StringWriter writer = new StringWriter();
          char[] buffer = new char[2048];
          int charsRead = 0;
          try {
               while ((charsRead = reader.read(buffer)) > 0) {
                    writer.write(buffer, 0, charsRead);
          } catch (IOException ioe) {
               throw new RuntimeException("error while converting reader to String", ioe);
          return writer.toString();
package com.sg2net.jdbc;
public class AqAost {
     private long fileNo;
     private String programNo;
     private String ostXML;
     private String bltXML;
     public long getFileNo() {
          return fileNo;
     public void setFileNo(long fileNo) {
          this.fileNo = fileNo;
     public String getProgramNo() {
          return programNo;
     public void setProgramNo(String programNo) {
          this.programNo = programNo;
     public String getOstXML() {
          return ostXML;
     public void setOstXML(String ostXML) {
          this.ostXML = ostXML;
     public String getBltXML() {
          return bltXML;
     public void setBltXML(String bltXML) {
          this.bltXML = bltXML;
I tested the insert and it works correctly
ciao,
Giovanni

Method to move large amounts of data out of CS into a Windows fileshare

Similar Messages

Maybe you are looking for