This topic describes the release notes for LindormTSDB SDK for native Java.
You can obtain all versions of LindormTSDB SDK for native Java from the Maven repository. For more information, visit Maven repository.
V1.0.6
You can specify the cluster ID when you write data.
Retry mechanism for data writing is added when the server restarts.
The default values of the parameters related to asynchronous batch data writing are optimized. The default value of the maxPointBatches parameter is 32. The default value of the numBatchThreads parameter is 8.
V1.0.5
The version conflict issues caused by the dependency on Gson are fixed.
V1.0.4
The issue that the execute() interface cannot parse the returned result is fixed.
V1.0.3
The value of schema_policy can be set to
None
. In this case, LindormTSDB does not create tables when you write data.A connection pool can be used to configure the keepAliveMs and maxIdleConn parameters.
Message sequences in error logs can be converted to readable characters.
The query() interface can parse the type of data based on the schema.
The issue that an error is reported when data is checked based on its timestamp is fixed.
V1.0.2
Conditions for string verification are extended.
V1.0.1
HTTPS is supported.
The okhttp3 library is renamed to prevent dependency conflicts.
The writeSync method is added. You can configure specific parameters when you use this method to synchronously write data.
The forced flush method is added. You can use this method to force the system to flush the data in an asynchronous queue.
A health check interface isHealth is added. You can use this interface to check the health status of LindormTSDB.
URL verification is supported. The system checks the availability of the requested URL when the system creates a client.
Server version verification is supported. The version of the server must be 3.4.8 or later.
V1.0.0
The first version of the LindormTSDB SDK for native Java is released. The first version supports features such as basic authentication, asynchronous batch writes, and streaming queries.