In HBase, the "memory to disk" flush operation

In HBase, the "memory to disk" flush operation (or "memstore flush") happens when data in the memstore (in-memory storage) is flushed to disk as HFiles in HDFS. This flush can occur based on multiple triggers rather than a strict time interval, including:

  1. Memstore Size Limit: The primary trigger is when the size of the memstore reaches a defined threshold. The default maximum memstore size per RegionServer is set by the configuration parameter hbase.regionserver.global.memstore.size, typically as a fraction of the total heap size. When the memstore fills up, it triggers an automatic flush to disk.

  2. Time-Based Flush (Optional): Although time-based flushes are not the main flush trigger, HBase provides an optional parameter for a maximum delay, which can ensure that data gets written to disk within a certain time, even if the memstore size limit hasn't been reached. This parameter is:

    • hbase.hregion.memstore.flush.period: This sets the maximum time (in milliseconds) that data can stay in memory before it must be flushed to disk. By default, this is set to 0 (disabled), meaning there is no strict time limit, and only the memstore size triggers the flush. If enabled, it will enforce a flush after the specified time, regardless of the memstore size.

    For example:

    hbase.hregion.memstore.flush.period=3600000  # Flush after 1 hour
    
  3. Manual Flush: You can also manually flush data by calling flush() on a table or RegionServer using the HBase shell or API. This is useful in certain situations for performance tuning or maintenance.

Best Practice

Leaving hbase.hregion.memstore.flush.period disabled (the default) generally provides optimal performance, as HBase will flush based on memory thresholds instead of time, which is often more efficient. However, in scenarios where you want to ensure data persistence on disk more frequently (such as during a heavy load with risk of data loss in case of crashes), you can configure this parameter to enforce a periodic flush.

댓글

이 블로그의 인기 게시물

Develop a Kafka producer to send messages to a Kafka topic

Using the MinIO API via curl

max_active_runs of Airflow

Boilerplate for typescript server programing

difference between truncate and truncate_preserve in hbase

What are 5 creative things I could do with my kids' art, 아이와 함께하는 창의적 놀이

Parasite of korean movie

Kafka consumer in a Spring Boot application using a scheduled task

To integrate Spring Boot with your gRPC service using Gradle, Java, and Avro

kafka polling vs listen