ApsaraDB for HBase Performance-enhanced Edition allows you to use the native HBase API to connect to the database service. For more information, see Use the Java API to access ApsaraDB for HBase. This topic describes the limits on the connection to ApsaraDB for HBase Performance-enhanced Edition.

  • The API operations for cluster management such as assign region and stopRegionServer are not supported. You can log on to the Cluster Management System to manage clusters. You can use HBase Shell or call the Java API to run the FLUSH and COMPACTION commands.

  • Coprocessor is not supported and Alibaba Cloud plans to support it in the future. If you have any questions, contact the ApsaraDB for HBase Q&A DingTalk group for troubleshooting or submit a ticket.

  • Limited Hadoop Distributed File System (HFDS) permissions are provided for users who want to import or export a large amount of data. For more information, see Data import and migration. If you want to use Spark analysis, you can use spark-connector, call the HBase API in Spark, or use the TableInputFormat operation of MapReduce (MR) to access ApsaraDB for HBase. For more information, see Use Spark to access ApsaraDB for HBase. However, ApsaraDB for HBase Performance-enhanced Edition allows you to use the HDFS for bulkload operations.

  • User-defined Filters are not supported. To define a Filter, you need to encapsulate the code of Filter class into a JAR file and upload it to an HBase folder or HDFS. Then you must restart HBase or dynamically loads the JAR file to make the Filter take effect. This method is not supported in ApsaraDB for HBase Performance-enhanced Edition.

  • Phoenix SQL is not supported in ApsaraDB for HBase Performance-enhanced Edition.

If you have any questions about the limits, submit a ticket or consult the ApsaraDB for HBase Q&A DingTalk group.