In the Python module happybase, I can retrieve all rows that have a row key starting with a given string (i.e, search using a partial row key).
Let's say I have a rowkey in the format of (ID|TYPE|DATE), I would be able to find all rows with an ID of 1 and a TYPE of A by:
import happybase
connection = happybase.Connection('hmaster-host.com')
table = connection.table('table_name')
for key, data in table.scan(row_prefix="1|A|"):
print key, data
This is what I have so far as a totally client side Java program for anyone trying to do the basics using the Java HBase API, but I can only search for a row using the full row key:
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Get;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.util.Bytes;
//class foo {
public static void main(String[] args) {
Configuration conf = new Configuration();
conf.addResource(new Path("C:\\core-site.xml"));
conf.addResource(new Path("C:\\hbase-site.xml"));
HTable table = new HTable(conf, "table_name");
Result row = table.get(new Get(Bytes.toBytes("1|A|2014-01-01 00:00")));
printRow(row);
}
public static void printRow(Result result) {
String returnString = "";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("id"))) + ", ";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("type"))) + ", ";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("date")));
System.out.println(returnString);
}
//}
Where "cf" is the name of the column family.
ANSWER:
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.ResultScanner;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.filter.Filter;
import org.apache.hadoop.hbase.filter.PrefixFilter;
import org.apache.hadoop.hbase.util.Bytes;
//class foo {
public static void main(String[] args) {
Configuration conf = new Configuration();
conf.addResource(new Path("C:\\core-site.xml"));
conf.addResource(new Path("C:\\hbase-site.xml"));
HTable table = new HTable(conf, "table_name");
byte[] prefix = Bytes.toBytes("1|A|");
Scan scan = new Scan(prefix);
Filter prefixFilter = new PrefixFilter(prefix);
scan.setFilter(prefixFilter);
ResultScanner resultScanner = table.getScanner(scan);
printRows(resultScanner);
//Result row = table.get(new Get(Bytes.toBytes("1|A|2014-01-01 00:00")));
//printRow(row);
}
public static void printRows(ResultScanner resultScanner) {
for (Iterator<Result> iterator = results.iterator(); iterator.hasNext();) {
printRow(iterator.next();
}
}
public static void printRow(Result result) {
String returnString = "";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("id"))) + ", ";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("type"))) + ", ";
returnString += Bytes.toString(result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("date")));
System.out.println(returnString);
}
//}
Note that I use the setFilter
method, whereas the answer below uses the addFilter
method, on account of us using different APIs.