jdbc

How to create oracle connection in Spring application deployed in JBoss Server? (WrappedConnectionJDK6 cannot be cast to oracle.jdbc.OracleConnection)

笑着哭i 提交于 2021-02-08 09:51:14
问题 I want to create oracle connection. Currently i am passing jdbc connection to create struct descriptor and here i am getting exception as below. so to avoid this, required to create a java.sql.connection or oracle connection instead of getting from data source. org.jboss.resource.adapter.jdbc.jdk6.WrappedConnectionJDK6 cannot be cast to oracle.jdbc.OracleConnection java.lang.ClassCastException: org.jboss.resource.adapter.jdbc.jdk6.WrappedConnectionJDK6 cannot be cast to oracle.jdbc

How to create oracle connection in Spring application deployed in JBoss Server? (WrappedConnectionJDK6 cannot be cast to oracle.jdbc.OracleConnection)

爱⌒轻易说出口 提交于 2021-02-08 09:51:09
问题 I want to create oracle connection. Currently i am passing jdbc connection to create struct descriptor and here i am getting exception as below. so to avoid this, required to create a java.sql.connection or oracle connection instead of getting from data source. org.jboss.resource.adapter.jdbc.jdk6.WrappedConnectionJDK6 cannot be cast to oracle.jdbc.OracleConnection java.lang.ClassCastException: org.jboss.resource.adapter.jdbc.jdk6.WrappedConnectionJDK6 cannot be cast to oracle.jdbc

INSERT & UPDATE MySql table using PySpark DataFrames and JDBC

故事扮演 提交于 2021-02-08 09:36:06
问题 I'm trying to insert and update some data on MySql using PySpark SQL DataFrames and JDBC connection. I've succeeded to insert new data using the SaveMode.Append. Is there a way to update the existing data and insert new data in MySql Table from PySpark SQL? My code to insert is: myDataFrame.write.mode(SaveMode.Append).jdbc(JDBCurl,mySqlTable,connectionProperties) If I change to SaveMode.Overwrite it deletes the full table and creates a new one, I'm looking for something like the "ON DUPLICATE

ClassNotFoundException: Didn't find class “java.sql.SQLType” on path: DexPathList

喜欢而已 提交于 2021-02-08 08:51:10
问题 When I try to connect a MySQL database directly with JDBC on Android, I got the Exception like this: Caused by: java.lang.ClassNotFoundException: Didn't find class "java.sql.SQLType" on path: DexPathList[[zip file "/system/framework/org.apache.http.legacy.boot.jar",... and my test code is here: package com.kurosei.app.test; import android.os.Bundle; import android.support.v7.app.AppCompatActivity; import java.sql.Connection; import java.sql.DriverManager; import java.sql.SQLException; public

Is the executeBatch() performed on Oracle is done in order?

懵懂的女人 提交于 2021-02-08 08:30:30
问题 This is more of a kind of theory question to understand how the executeBatch() request is handled by Oracle. Consider there are three insert statements (PreparedStatement) ,say statement 1, statement2 and statement 3 are added to execute as a batch using executeBatch() method and over Oracle. Will there be a chance that the execution of statement 2 to complete even before statement 1 completes? In other words, can the insert operation by statement 2 succeed before the insert performed by

getIndexInfo returning wrong unique columns for composite primary keys

為{幸葍}努か 提交于 2021-02-08 08:00:14
问题 I am working with JDBC and I have created a simple table using postgresql: create table bank ( bank_id int, bank_name varchar(40), bank_address varchar(80), user_id int, user_first_name varchar(40), user_surname varchar(40), user_phone varchar(12), primary key(bank_id, user_id) ); The problem is that when I check whether bank_id is unique, I get true (when I was expecting false, ofc). Here is the code for my function that checks whether a column in a table is unique: private static boolean

DB connections increase after setting aurora in MariaDB connector

一曲冷凌霜 提交于 2021-02-08 06:49:01
问题 We're testing the failover behaviour using the MariaDB JDBC connector Aurora specific features. We've set the JDBC URL as the documentation suggest: jdbc:mysql:aurora://cluster.cluster-xxxx.us-east-1.rds.amazonaws.com/db The problem is that as soon as we add the aurora: part in the URL schema, we can see an increase in the connections to the database writer until the point that we've to rollback the change (it even reaches 3.000 connections). Versions: MariaDB connector: 2.0.1 HikariCP

DB connections increase after setting aurora in MariaDB connector

混江龙づ霸主 提交于 2021-02-08 06:48:03
问题 We're testing the failover behaviour using the MariaDB JDBC connector Aurora specific features. We've set the JDBC URL as the documentation suggest: jdbc:mysql:aurora://cluster.cluster-xxxx.us-east-1.rds.amazonaws.com/db The problem is that as soon as we add the aurora: part in the URL schema, we can see an increase in the connections to the database writer until the point that we've to rollback the change (it even reaches 3.000 connections). Versions: MariaDB connector: 2.0.1 HikariCP

Why does “M” appear in Clojure MySQL Query Results

梦想与她 提交于 2021-02-08 05:38:14
问题 I have a Clojure query that returns a row, and here is a partial printout of the returned row (map). ({:employer_percent 0.00M, ... :premium 621.44M, ...}) These two columns are decimal(5,2) and decimal(7,2) respectively in the mysql table. Why is there an 'M' suffix at the end of each of these values? Here is the code that forms and executes the query. (def db {:classname "com.mysql.jdbc.Driver" :subprotocol "mysql" :subname "//system/app" :user "app-user" :password "pwrd"}) (defn get-recent

What is the difference between package com.mysql.jdbc.PreparedStatement; and java.sql.PreparedStatement?

喜你入骨 提交于 2021-02-08 05:14:53
问题 I have connected JAVA application with MySql .When i wrote PreparedStatement ps = null ; then two option for import package was showing .The two suggested package was :com.mysql.jdbc.PreparedStatement; and java.sql.PreparedStatement .And , when i import com.mysql.jdbc.PreparedStatement package they said for casting as shown below . ps = (PreparedStatement) con.prepareStatement("INSERT INTO Authors(Name) VALUES(?)"); And when i used java.sql.PreparedStatement not need for casting in above