Postgresql driver name
If the driver detects a change it will abort the connection. There is one legitimate exception to this behavior though, using the COPY command on a file residing on the server's filesystem. Enable this only if you need to override the client encoding when doing a copy.
Determine the number of PreparedStatement executions required before switching over to use server side prepared statements. The default is five, meaning start using server side prepared statements on the fifth execution of the same PreparedStatement object.
Connecting to the Database Prev Chapter 3. Initializing the Driver Next. Connecting to the Database. Connection Parameters. On the Custom Setup screen, you can select the feature of the drivers. You can view the disk usage of the Driver. We are installing the documentation, so I have chosen that option.
On ready to install screen, click on the Install button. If you want to review or make any changes in installation settings, click on Back.
A dialog box Create a new data source opens. In the dialog box, you must specify the following parameters:. Before you can connect to a database, you need to load the driver. There are two methods available, and it depends on your code which is the best one to use.
In the first method, your code implicitly loads the driver using the Class. Driver" ; This will load the driver, and while loading, the driver will automatically register itself with JDBC. Connection parameter passed in the startup message. This parameter accepts two values; "true" and database.
Passing true tells the backend to go into walsender mode, wherein a small set of replication commands can be issued instead of SQL statements. Only the simple query protocol can be used in walsender mode. Passing "database" as the value instructs walsender to connect to the database specified in the dbname parameter, which will allow the connection to be used for logical replication from that database.
Specifies size of result buffer in bytes, which can't be exceeded during reading result set. Property can be specified in two styles:. All given values, which gonna be higher than limit, gonna lowered to the limit. By default, maxResultBuffer is not set is null , what means that reading of results gonna be performed without limits. Specifies if number of rows, fetched in ResultSet by one fetch with trip to the database, should be dynamic.
Using dynamic number of rows, computed by adaptive fetch, allows to use most of the buffer declared in maxResultBuffer property. Number of rows would be calculated by dividing maxResultBuffer size into max row size observed so far, rounded down. First fetch will have number of rows declared in defaultRowFetchSize.
Number of rows can be limited by adaptiveFetchMinimum and adaptiveFetchMaximum. Specifies the lowest number of rows which can be calculated by adaptiveFetch. Requires adaptiveFetch set to true to work. Specifies the highest number of rows which can be calculated by adaptiveFetch. By default, maximum of rows calculated by adaptiveFetch is -1, which is understood as infinite. Whether to include server error details in exceptions and log messages for example inlined query parameters.
Setting to false will only include minimal, not sensitive messages. By default this is set to true, server error details are propagated.
This may include sensitive details such as query parameters. Quote returning columns. There are some ORM's that quote everything, including returning columns If we quote them, then we end up sending ""colname"" to the backend instead of "colname" which will not be found. By adding junixsocket you can obtain a socket factory that works with the driver.
Simply add? To support simple connection fail-over it is possible to define multiple endpoints host and port pairs in the connection url separated by commas. The driver will try once to connect to each of them in order until the connection succeeds.
If none succeeds a normal connection exception is thrown. The simple connection fail-over is useful when running against a high availability postgres installation that has identical data on each node. For example streaming replication postgres or postgres-xc cluster.
For example an application can create two connection pools. One data source is for writes, another for reads. The write pool limits connections only to a primary node:. And read pool balances connections between secondary nodes, but allows connections also to a primary if no secondaries are available:.
If a secondary fails, all secondaries in the list will be tried first. In the case that there are no available secondaries the primary will be tried. If all the servers are marked as "can't connect" in the cache then an attempt will be made to connect to all the hosts in the URL, in order.
Chapter 3.
0コメント