Re: Mysql Community Connector Java
Joao Charlesbois
So I replaced the mysql-connector-java file with an older version (8.0.15), but when I go to CF admin settings page and look at CF Server Java Class Path, it still lists the newer version (8.0.25). And I did confirm the location of the file. I have restarted CommandBox and even my laptop, just in case.
After starting the server, I followed the the wizard. At the "Install-start-test, "Hive Metastore Start" failes. The error it fails on is: :8080/resources//mysql-connector-java.jar due to HTTP error: HTTP Error 404: Not Found
(OR) if you are downloading the mysql-connector-java JAR from some tar.gz archive then please make sure to check the following locations and create the symlinks something like following to point to your jar.
MariaDB Connector/J is a Type 4 JDBC driver. It was developed specifically asa lightweight JDBC connector for use with MariaDB and MySQL database servers.It was originally based on the Drizzle JDBC code with numerous additions andbug fixes.
The following subsections show the formatting of JDBC connection strings forMariaDB and MySQL database servers. Additionally, sample code is provided thatdemonstrates how to connect to one of these servers and create a table.
The preferred way to get a connection with MariaDB Connector/J is to use the DriverManager class.When the DriverManager class is used to locate and load MariaDB Connector/J, the application needs no further configuration. The DriverManager class will automatically load MariaDB Connector/J and allow it to be used in the same way as any other JDBC driver.
MariaDB Connector/J 3.0 only accepts jdbc:mariadb: as the protocol in connection strings by default. When both MariaDB Connector/J and the MySQL drivers are found in the class-path, using jdbc:mariadb: as the protocol helps to ensure that Java chooses MariaDB Connector/J.
driver 3.0 is a complete rewrite of the connector. Specific support for aurora has not been implemented in 3.0, since it relies on pipelining. Aurora is not compatible with pipelining.Issues for Aurora were piling up without the community proposing any PR for them and without access for us to test those modifications. (2.x version has a 5 years support).
GSSAPI in windows isn't well supported in java, causing recurrent issues. Since 3.1, waffle-jna is marked as a dependency to provide good GSSAPI support without problems. This has the drawback to make connector and dependencies to a size of around 4Mb.
By default, the connector adopts the JVM's default time zone. If the client and server reside in different time zones, it's recommended to configure the connection time zone to match the JVM's default by setting forceConnectionTimeZoneToSession to true.This ensures proper operation of time functions.
Due to its wider range, DATETIME is sometimes mistakenly used to store a specific point in time. While this might work if the client and server share the same time zone, it creates problems when they differ.
While using DATETIME instead of TIMESTAMP is generally discouraged, a specific combination of settings ("preserveInstants=true&connectionTimeZone=SERVER") can force all Java Timestamp exchanges to be converted to the connection's time zone during storage and retrieval. However, this approach is not recommended for long-term solutions.
The MariaDB Connector/J versions before 3.4 offered a single "timezone" option. While this functionality remains compatible, it's now separated into two distinct settings: connectionTimeZone and forceConnectionTimeZoneToSession. Here's a breakdown of how the old option translates to the new ones:"timezone=America/Los_Angeles" is equivalent to "connectionTimeZone=America/Los_Angeles&forceConnectionTimeZone=true
The fastest way to load lots of data is using LOAD DATA INFILE.
However, using "LOAD DATA LOCAL INFILE" (ie: loading a file from the client) may be a security problem if someone can execute a query from the client, he can have access to any file on the client (according to the rights of the user running the client process).
To avoid using too much memory, rather use Statement.setFetchSize(int numberOfRowInMemory) to indicate the number of rows that will be stored in memory
Example :
using Statement.setFetchSize(1000) indicates that 1000 rows will be stored in memory.
So, when the query has executed, 1000 rows will be in memory. After 1000 ResultSet.next(), the next 1000 rows will be stored in memory, and so on.
If another query is run on same connection while the resultset has not been completly read, the connector will fetch all remaining rows before executing the query. This can lead to still needing lots of memory. Recommendation is then to use another connection for simultaneous operations.
Note that the server usually expects clients to read off the result set relatively quickly. The net_write_timeout server variable controls this behavior (defaults to 60s).If you don't expect results to be handled in this amount of time there is a different possibility:
If another query is executed on the same connection when a streaming resultset has not been fully read, the connector will put the whole remaining streaming resultset in memory in order to execute the next query. This can lead to OutOfMemoryError if not handled.
Before version 1.4.0, the only accepted value for fetch size was Statement.setFetchSize(Integer.MIN_VALUE) (equivalent to Statement.setFetchSize(1)). This value is still accepted for compatilibity reasons but rather use Statement.setFetchSize(1), since according to JDBC the value must be >= 0.
The driver uses server prepared statements as a standard to communicate with the database (since 1.3.0). If the "allowMultiQueries" options are set to true, the driver will only use text protocol. Prepared statements (parameter substitution) is handled by the driver, on the client side.
To use this credential authentication, com.amazonaws:aws-java-sdk-rds dependency must be registred in classpath.Implementation use SDK DefaultAWSCredentialsProviderChain and DefaultAwsRegionProviderChain to get IAM credential and region.see DefaultAWSCredentialsProviderChain and DefaultAwsRegionProviderChain to check how those information can be retrieved (environment variable / system properties, files, ...)
New authentication plugins can be created implementing interface org.mariadb.jdbc.authentication.AuthenticationPlugin, and listing new plugin in a META-INF/services/org.mariadb.jdbc.authentication.AuthenticationPlugin file.
Custom SSL implementation can be used implementing A connection to a server initially creates a socket. When set, SSL socket is layered over this existing socket. Implementing org.mariadb.jdbc.tls.TlsSocketPlugin permit to provide custom SSL implementation for example create a new HostnameVerifier implementation.
Most of the time this will be caused by reading a query that has a large resultset; the server usually expects clients to read off the result set relatively quickly. The net_write_timeout server variable controls this behavior (defaults to 60s). If the client doesn't read the whole resultset in that amount of time, the server will discard the connection.If you don't expect results to be handled in this amount of time there is another possibility:
Connection.isValid() is a good approach. Connection.isValid() is doing a ping (ping in mysql protocol, not network ping). Connection pool using JDBC4 Validation are using automatically this Connection.isValid()
I'm trying to install mysql v8.0.12 jdbc connector, but I've already been using mysql v5.1.22 connector. After creating the jdbc extension, I keep getting the following error messages in the Application Log:
I thought about removing the existing extension, but that involves deleting all me existing Things that are referring to it, and I don't want to do that. The older mysql jdbc driver doesn't seem to be able to communicate with the v8.0.12 database.
I am trying to deploy a java application (Spring boot maven) using cloud run. This application needs a connect to MySQL database which is created in google cloud SQL. I have a created a IAM and Admin service account and provides roles like Cloud SQL Admin, Cloud SQL Client, Cloud SQL Editor, Cloud SQL Instance User, Storage Object Creator. After creating the service account I have generated the key file as json and using it in my java application . I am able to connect to the MySQL instance when running from my local machine. But when I try to deploy it through cloud run I am facing errors when building google image from the application. I tried below command.
The error message you're encountering indicates a permissions issue related to accessing your Cloud SQL instance. The key message here is "Not authorized to access resource. Possibly missing permission cloudsql.instances.get on resource instances/testdb." This suggests that the service account used during the build process in Google Cloud Build does not have sufficient permissions to access the Cloud SQL instance.
could be due to several reasons, including incorrect credentials, the way the credentials are being used, or the configuration of your Spring Boot application. Let's go through some steps to troubleshoot and resolve this issue:
Correct Credentials: Ensure that the credentials provided in the credentials.json file are correct. This file should contain the service account key for the IAM Admin service account you created.
Service Account Permissions: Double-check that the IAM Admin service account has the necessary roles (Cloud SQL Admin, Cloud SQL Client, Cloud SQL Editor, Cloud SQL Instance User, Storage Object Creator) and that these roles are properly assigned.
Database User Authentication: The error mentions the user 'root'. Ensure that this user exists in your MySQL database and has the correct permissions. Also, verify that you are using the correct username and password in your application properties. If you're using Cloud SQL's IAM database authentication, ensure that it's configured correctly.
d3342ee215