Importing data into HBase In different scenarios different methods can be used to import data into HBase. Choose the right import methodLearn about how to choose the right data import method.Use snapshotsA snapshot captures the state of a table at the time the snapshot was takenUse CopyTableCopyTable uses HBase read and write paths to copy part or all of a table to a new table in either the same cluster or a different cluster. Use BulkLoadIn many situations, writing HFiles programmatically with your data, and bulk-loading that data into HBase on the RegionServer, has advantages over other data ingest mechanisms.Use cluster replicationIf your data is already in an HBase cluster, replication is useful for getting the data into additional HBase clusters.Use SqoopSqoop can import records into a table in HBase. It has an out-of-the-box support for HBaseUse SparkYou can write data to HBase from Apache Spark using def saveAsHadoopDataset(conf: JobConf): Unit.Use a custom MapReduce jobMany of the methods to import data into HBase use MapReduce implicitly. If none of those approaches fit your needs, you can use MapReduce directly to convert data to a series of HFiles or API calls for import into HBaseUse HashTable and SyncTable ToolHashTable/SyncTable is a two steps tool for synchronizing table data without copying all cells in a specified row key/time period range.
