bonecp | Java JDBC connection pool implementation | Performance Testing library
kandi X-RAY | bonecp Summary
kandi X-RAY | bonecp Summary
BoneCP is a Java JDBC connection pool implementation that is tuned for high performance by minimizing lock contention to give greater throughput for your applications. It beats older connection pools such as C3P0 and DBCP but should now be considered deprecated in favour of HikariCP.
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Top functions reviewed by kandi - BETA
- Executes an SQL statement
- Prepare a callable statement
- Prepares a callable statement
- Prepares a call to the database
- Executes the given SQL statement
- Executes an SQL statement at the given indexes
- Executes an UPDATE or DELETE statement
- Prepare a prepared statement
- Executes an update
- Creates a new prepared statement
- Convert an object to an object
- Switches to a new DataSource
- Executes the SQL statement
- Main loop
- Closes all connections in all partitions
- Batch execute method
- Resets statistics
- Executes the given query
- Retrieves a connection from the pool
- Sanitize properties
- Creates a connection handle
- Main entry point
- Invokes the proxy
- Releases the connection back to the pool
- Entry point for testing
- Run all connections
bonecp Key Features
bonecp Examples and Code Snippets
Community Discussions
Trending Discussions on bonecp
QUESTION
I switched to gradle 7.0 recently and now cannot build my projects jar, with the error
Could not get unknown property 'runtime' for configuration container of type org.gradle.api.internal.artifacts.configurations.DefaultConfigurationContainer. `
Here is my build.gradle:
...ANSWER
Answered 2021-Jun-25 at 22:52Gradle removed the runtime configuration after Gradle 6.x.
You can either change your fatJar
task in build.gradle
to refer to runtimeConfiguration
(as per the Java plugin documentation):
QUESTION
I am building a desktop application. I am using ProGuard with the following config:
...ANSWER
Answered 2020-Aug-13 at 16:35You have the line ${java.home}/lib/rt.jar
in your configuration for proguard. This is no longer valid in JDK11 as it was removed in that version of Java.
QUESTION
/home/sankalp/logs/application.log
true
false
application1-%d{yyyy-MM-dd}.%i.log
5MB
7
30MB
%date - [%level] - from %logger in %thread %n%message%n%xException%n
...ANSWER
Answered 2020-Jul-09 at 12:07You specified and this sets default logging level for ALL loggers to be
INFO
thus you see INFO
log events from akka
, play
, com.jolbox
etc.
You should set root to a less chatty log level. It's usually set to WARN
or ERROR
.
QUESTION
I am moving from Spark2.3.2 with an external Hive server to Spark3.0.0 with a built in thrift hive server, however I am having trouble getting the thriftsever budled with spark to find the postgresql client libraries to connect to an external metastore.
In Spark2.3.3 I simply set the $HIVE_HOME/conf/hive-site.xml
options for the metastore, added the jars to $HIVE_HOME/lib
and everything worked. In Spark3.0.0 I declared the location of the jars in $SPARK_HOME/conf/hive-site.xml
like so..
ANSWER
Answered 2020-Jun-26 at 05:05The problem with maven dependencies appears to be with the incremental maven build not pulling in any new dependencies. An ugly fix for this is to force a download and complete rebuild like so...
QUESTION
I have the following table :
...ANSWER
Answered 2020-May-13 at 13:36What you have there looks like it should work in terms of Blob
.
However, the error (ConnectionHandle cannot be cast to oracle.jdbc.OracleConnection
) looks suspicious. Double-check your dependencies to ensure you have the right Oracle driver, and that you have imported the slick.jdbc.OracleProfile.api._
In case it helps, it's possibly more common to define a table and case class in terms of Array[Byte]
, rather than Blob
. Slick has built-in conversions to take an Array[Byte]
and treat it as a Blob
when creating a schema and querying.
QUESTION
I am using Cloudera CDH 6.3 with Spark 2.4.4. SparkConf() has config that connects to external Hive Postgres Metastore. Upon running below Scala code
...ANSWER
Answered 2020-Apr-17 at 15:06Solved by including postgres library to build.sbt file as dependency
https://mvnrepository.com/artifact/org.postgresql/postgresql/42.2.12
Pyspark doesnot need explicit addition of dependencies like scala. Hence the same program ran successfully with python spark.sql api.
Error of unable to instantiate hive metastore in the starting was misleading. Had to read complete error log to find out the exact cause. Keeping postgres library in spar/conf folder or setting class path to postgres driver in basrc is of no use.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install bonecp
You can use bonecp like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the bonecp component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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