Insert one row with FileInputStream bigger than 30M always OutOfMemoryError

Hi,somebody can help me to solve my problem as follow:
The following file 'insertTest.jsp' run with Tomcat-5.0.18 and MySQL-4.0.17.
If I insert a row with a file bigger then 30M,I always get OutOfMemoryError messages shown as next.
In fact , I have adjusted variables as:
set-variable = max_allowed_packet=100M
set-variable = max_heap_table_size=100M
set-variable = tmp_table_size=100M
set-variable = key_buffer_size=100M
set-variable = innodb_buffer_pool_size=100M
set-variable = max_connections=200
set-variable = bulk_insert_buffer_size=100M
set-variable = sort_buffer_size=100M
set-variable = myisam_sort_buffer_size=100M
'insertTest.jsp' :
<%@ page language="java" contentType="text/html;charset=Big5" errorPage="" %>
<%@ page import="java.sql.*,java.io.*" %>
<%
Connection conn = null;
java.sql.Statement stmt = null;
String tableName="goodtable";
boolean tableNameExist=false;
String createtable = "Create table "+tableName+" (sn INT AUTO_INCREMENT NOT NULL PRIMARY KEY ,fileImage longblob)";
Class.forName("com.mysql.jdbc.Driver");
conn =DriverManager.getConnection("jdbc:mysql://thisIpAddress/thisDatabaseName?user=thisUser&password=thisPsw");
try {
DatabaseMetaData dbmd = conn.getMetaData();
String[] types = {"TABLE"};
ResultSet resultSet = dbmd.getTables(null, null, "%", types);
while (resultSet.next()) {
String tName = resultSet.getString(3);
if(tName.equals(tableName)){
tableNameExist=true;
break;
String tableCatalog = resultSet.getString(1);
String tableSchema = resultSet.getString(2);
catch (SQLException e) {}
out.print("<html><body bgcolor='#669999'>");
if(!tableNameExist){
stmt = conn.createStatement();
stmt.execute(createtable);
out.print("<p>　<p><center>CreateTable="+tableName+" Ok!<hr>");
else
out.print("<p>　<p><center>' "+tableName+" ' already exist!<hr>");
//The test file(at C:\fileSize30M.zip) is put here.
File file = new File("C:\\fileSize30M.zip");
FileInputStream fis = new FileInputStream(file);
String qry="Insert into "+tableName+"(fileImage) values(?)";
java.sql.PreparedStatement pstmt=conn.prepareStatement(qry);
pstmt.setBinaryStream(1,fis,fis.available());
out.print("'before pstmt.executeUpdate()' is ok<p>");
System.out.println("'before pstmt.executeUpdate()' is ok<p>");
int ok=pstmt.executeUpdate();
if(ok==1){
out.print("'after pstmt.executeUpdate()' is ok");
System.out.println("'after pstmt.executeUpdate()' is ok<p>");
fis.close();
pstmt.close();
conn.close();
out.print("</body></html>");
%>
type: Exception report
description: The server encountered an internal error () that prevented it from fulfilling this request.
exception :
javax.servlet.ServletException
org.apache.jasper.runtime.PageContextImpl.doHandlePageException(PageContextImpl.java:867)
org.apache.jasper.runtime.PageContextImpl.handlePageException(PageContextImpl.java:800)
org.apache.jsp.insertTest_jsp._jspService(insertTest_jsp.java:101)
org.apache.jasper.runtime.HttpJspBase.service(HttpJspBase.java:133)
javax.servlet.http.HttpServlet.service(HttpServlet.java:856)
org.apache.jasper.servlet.JspServletWrapper.service(JspServletWrapper.java:311)
org.apache.jasper.servlet.JspServlet.serviceJspFile(JspServlet.java:301)
org.apache.jasper.servlet.JspServlet.service(JspServlet.java:248)
javax.servlet.http.HttpServlet.service(HttpServlet.java:856)
root cause :
java.lang.OutOfMemoryError

Increase you heap size on Tomcat startup. I haven't used Tomcat in some years but I think you can just set a JAVA_OPTS environment variable with the text Xmx128M and your problems will go away. I'm thinking this is an issue because I'm assuming you are running Tomcat on a Windows box where the default heap for Java is relatively small like 32M or 64M or something like that.
Cliff

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A better example
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17/06/2010     382.56     12     1.1000008     31.88 -- THIS!
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SAP came back to me with this answer:
First, I would like to point the documentation for Message Transform
Bean (MTB) in 7.4:
http://help.sap.com/saphelp_nw74/helpdata/en/57/0b2c4142aef623e10000000a155106/content.htm?frameset=/en/57/0b2c4142aef623e10000000a155106/frameset.htm&current_toc=/en/45/0ea2de423c2d6be10000000a11466f/plain.htm&node_id=18
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Cheers
Jens

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Consider a PL/SQL procedure.
I want to pass an array of values and insert in a table with a single statement.
Moreover I want to call this procedure to insert multiple rows from OCI program.
Can some body help ? :(
Thanks
Chandu

Hi Vincent,
Regular array insert which you have mentioned works in case of insert statement(This is to eliminate multiple calls to server)
Will it work for passing array to Stored procedure, in this case procedure will be called only once with an array.
It will be of great help if you give an example.
Thanks
Chandra

One row with checkboxes in ALV

Hi All,
I woud like to create an ALV which consists of a row with checkboxes.
Eg.:
Doc - Mat - Unit - Date
   1 -1234 - pc - 010109
   2 - 545 - pc - 050208
   3 - X - X - X
   4 - 466 - pc - 251208
You can see that the 3. row has 3 checkboxes.
Is this possible?
Thanks in advance,
Gabor
Edited by: Gabor Peter Kocsis on Jan 15, 2009 9:14 PM

Hi,
No, you can't take a single row with checkboxes and other rows for other fields.
But instead you can add a checkbox for each row in ALV.
Regards,
Tarun Gambhir

Insert multiple rows with one sql statement in access

Hi,
I'm trying to copy a table into another. What I want to do is to use "Insert into table1 select * from table2 where field > val". Something like that. I know a lot of databases support it. I was wondering if ms access ODBC driver also supports it. I searched quite a bit and haven't found a definitive answer on this.
Thank you

Yes, M$ Access 2000 supports it. This is from their help:
INSERT INTO Statement
Adds a record or multiple records to a table. This is referred to as an append query.
Syntax
Multiple-record append query:
INSERT INTO target [(field1[, field2[, ...]])] [IN externaldatabase]
SELECT [source.]field1[, field2[, ...]
FROM tableexpression
Single-record append query:
INSERT INTO target [(field1[, field2[, ...]])]
VALUES (value1[, value2[, ...])
The way you've written the INSERT, table1 and table2 have to have the same # of columns and the same types, of course.

Insert Duplicate rows with difrent languages

Hello everybody,
I need your help in solving this query with the most performant way.
I have a table:
Create Table "POSITION" (
id number,
TEXT varchar2(50),
Language Varchar2(1)
);insert statments
INSERT INTO POSITION
VALUES (1, 'Secretary', 'E');
INSERT INTO POSITION
VALUES (1, 'Secrétaire', 'F');
INSERT INTO POSITION
VALUES (1, 'Segretario', 'I');
INSERT INTO POSITION
VALUES (1, 'Secretario', 'S');
INSERT INTO POSITION
VALUES (2, 'Assistance', 'E');
INSERT INTO POSITION
VALUES (2, 'Ayuda', 'S');As you have seen the text changes in diffrent languages for the same id. for whatever reasons the data is in complete in all languages (some ids missing english some french and some italian). I need a query to insert the missing language(s) in my example above Id number 2 the language French and Italian is missing so the query should copy the record English instead but with Language = 'F' and one more time with language = 'I' and so on.
in addition the query should look first to copy English if it doesn't exist then French if not then Italian when more than language exists.
hope I make it clear. as i said this query should be performant also as the data size is big.
Thanks for your help

Hi,
Okay, I see my mistake now.
You can use MERGE like this:
MERGE INTO     position     dst
USING     (
          SELECT     p.id
          ,     FIRST_VALUE (p.text IGNORE NULLS)
                    OVER ( PARTITION BY p.id
                           ORDER BY      l.ord_num
                           ROWS BETWEEN UNBOUNDED PRECEDING
                                    AND          UNBOUNDED FOLLOWING
                         )     AS top_text
          ,     FIRST_VALUE (p.lsource_anguage IGNORE NULLS)
                    OVER ( PARTITION BY p.id
                           ORDER BY      l.ord_num
                           ROWS BETWEEN UNBOUNDED PRECEDING
                                    AND          UNBOUNDED FOLLOWING
                         )     AS source_language
          ,     l.language
          FROM           all_languages     l
          LEFT OUTER JOIN position     p     PARTITION BY (p.id)
                                   ON l.language     = p.language
     )               src
ON     (     src.id          = dst.id
     AND     src.language     = dst.language
WHEN NOT MATCHED THEN
INSERT     (dst.id, dst.text,     dst.language, dst.source_language)
VALUES     (src.id, src.top_text, src.language, src.source_language)
;Or you can use INSERT, like this:
INSERT INTO     position (id, text, language, source_language)
WITH     got_analytics     AS
     SELECT     p.id
     ,     p.text          AS orig_text
     ,     FIRST_VALUE (p.text IGNORE NULLS)
               OVER ( PARTITION BY p.id
                      ORDER BY      l.ord_num
                      ROWS BETWEEN UNBOUNDED PRECEDING
                               AND          UNBOUNDED FOLLOWING
                    )     AS top_text
     ,     l.language
     ,     FIRST_VALUE (p.source_language IGNORE NULLS)
               OVER ( PARTITION BY p.id
                      ORDER BY      l.ord_num
                      ROWS BETWEEN UNBOUNDED PRECEDING
                               AND          UNBOUNDED FOLLOWING
                    )     AS source_language
     FROM           all_languageS     l
     LEFT OUTER JOIN position     p     PARTITION BY (p.id)
                              ON l.language     = p.language
SELECT     id, top_text, language, source_language
FROM     got_analytics
WHERE     orig_text     IS NULL
;This is basically what I posted before, except that I added
...                      ROWS BETWEEN UNBOUNDED PRECEDING
                               AND          UNBOUNDED FOLLOWINGto all the analytic clauses.
The problem was that when you say "ORDER BY ord_num", that creates a default window that includes only the current ord_num and lower values. We need to look at all values, lower and higher, so we have to override the default windowing.
Edited by: Frank Kulash on Feb 29, 2012 8:58 PM
Edited by: Frank Kulash on Mar 1, 2012 11:31 AM
Added correct MERGE statement.

Splitting multiple rows onto one row with different fields

Hi all,
I have a table. One Course_Code have multiple section_codes i.e. ("NUM" column does not relate to sectype its just an order!)
Code--------num----Sec_code---Sectype---DESC----------------WEIGHT
1603--------1-------7427-----------C------------Coursework--------     50
1603--------2-------7428-----------E------------     Exam----------------     50
When I query this table i want to be able to see the coursework, exam split on the same row. i.e.
Code-----Coursework---------Exam
1603-----C=50------------------E=50
any help would be great

Hi,
"Splitting" means taking an item (such s a string like 'C=50') and diviiding it into smal;ler items (such as the sub-strings 'C' and '50'). Are you really trying to split something, or are you trying to do just the opposite (e.g., combine smaller strings into a bigger string)?
I think what you're looking for is a Pivot . Like so many other things, exactly how to do it depends on your version of Oracle and your requirements.
Here's one way:
SELECT       code
,       MIN (CASE WHEN descr = 'Coursework' THEN sectype END)
       || '='
       MIN (CASE WHEN descr = 'Coursework' THEN weight END)     AS coursework
,       MIN (CASE WHEN descr = 'Exam'       THEN sectype END)
       || '='
       MIN (CASE WHEN descr = 'Exam'           THEN weight END)     AS exam
FROM       table_x
GROUP BY code
;This will work in Oracle 8.1 and higher. Starting in Oracle 11.1, you could also use the SELECT ... PIVOT feature.
I hope this answers your question.
If not, post a little sample data (CREATE TABLE and INSERT statements, relevant columns only) for all tables, and also post the results you want from that data.
Explain, using specific examples, how you get those results from that data.
Always say which version of Oracle you're using.

Insert one row with FileInputStream bigger than 30M always OutOfMemoryError

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