ApsaraDB for HBase Performance-enhanced Edition supports the native HBase API for database access. For setup instructions, see Use the Java API to access ApsaraDB for HBase.
The following table summarizes features that are not available or are partially available in this edition, along with the recommended alternatives.
Feature support overview
| Feature | Status | Alternative or notes |
|---|---|---|
| Cluster management APIs (for example, assign region, stopRegionServer) | Not supported | Use the Cluster Management System to manage clusters. Run FLUSH and COMPACTION via HBase Shell or the Java API. |
| Coprocessor | Not yet supported (planned) | Submit a ticket or contact the ApsaraDB for HBase Q&A DingTalk group to discuss your requirements. |
| Full Hadoop Distributed File System (HDFS) permissions | Partially supported | Use spark-connector, call the HBase API in Spark, or use the MapReduce (MR) TableInputFormat operation. HDFS is available for bulkload operations. |
| User-defined Filters | Not supported | — |
| Phoenix SQL | Not supported | — |
Cluster management APIs
Cluster management API operations — such as assign region and stopRegionServer — are not supported. To manage clusters, log in to the Cluster Management System.
The FLUSH and COMPACTION commands remain available. Run them using HBase Shell or the Java API.
Coprocessor
Coprocessor is not yet supported. Alibaba Cloud plans to add support in a future release.
If your use case depends on Coprocessor, contact the ApsaraDB for HBase Q&A DingTalk group or submit a ticket to discuss your requirements.
HDFS permissions
Full HDFS permissions are not provided. Limited HDFS access is available for bulk data import and export. For details, see Import data and migrate data.
For Spark-based analytics, use one of the following approaches:
spark-connector: Connect Spark directly to ApsaraDB for HBase.
HBase API in Spark: Call the HBase API from within your Spark application.
TableInputFormat: Use the MapReduce (MR) TableInputFormat operation to read data.
For more information, see Use Spark to access ApsaraDB for HBase.
HDFS access is available for bulkload operations.
User-defined Filters
User-defined Filters are not supported. The standard approach of packaging Filter class code into a JAR file, uploading it to an HBase folder or HDFS, and then restarting HBase or dynamically loading the JAR is not available in this edition.
Phoenix SQL
Phoenix SQL is not supported in ApsaraDB for HBase Performance-enhanced Edition.
Get support
For questions about these limitations, submit a ticket or contact the ApsaraDB for HBase Q&A DingTalk group (group ID: s0s3eg3).