Java Sample Code
Function Description
In the Spark applications, users can use HBase APIs to create a table, read the table, and insert data into the table.
Sample Code
The following code snippets are used as an example. For complete codes, see SparkOnHbaseJavaExample.
Example: Creating an HBase table
public class TableCreation {
public static void main (String[] args) throws IOException {
SparkConf conf = new SparkConf().setAppName("CollectFemaleInfo");
JavaSparkContext jsc = new JavaSparkContext(conf);
Configuration hbConf = HBaseConfiguration.create(jsc.hadoopConfiguration());
// Create a connection channel to connect to HBase.
Connection connection = ConnectionFactory.createConnection(hbConf);
// Declare table description.
TableName userTable = TableName.valueOf("shb1");
HTableDescriptor tableDescr = new HTableDescriptor(userTable);
tableDescr.addFamily(new HColumnDescriptor("info".getBytes()));
//Create a table.
System.out.println("Creating table shb1. ");
Admin admin = connection.getAdmin();
if (admin.tableExists(userTable)) {
admin.disableTable(userTable);
admin.deleteTable(userTable);
}
admin.createTable(tableDescr);
connection.close();
jsc.stop();
System.out.println("Done!");
}
} Example: Inserting data into the HBase table
public class TableInputData {
public static void main (String[] args) throws IOException {
// Create a configuration parameter to connect to HBase and ensure that hbase-site.xml is in classpath.
SparkConf conf = new SparkConf().setAppName("CollectFemaleInfo");
JavaSparkContext jsc = new JavaSparkContext(conf);
Configuration hbConf = HBaseConfiguration.create(jsc.hadoopConfiguration());
// Declare table information.
Table table = null;
String tableName = "shb1";
byte[] familyName = Bytes.toBytes("info");
Connection connection = null;
try {
// Obtain the HBase connection.
connection = ConnectionFactory.createConnection(hbConf);
// Obtain the table object.
table = connection.getTable(TableName.valueOf(tableName));
List<Tuple4<String, String, String, String>> data = jsc.textFile(args[0]).map(
new Function<String, Tuple4<String, String, String, String>>() {
@Override
public Tuple4<String, String, String, String> call(String s) throws Exception {
String[] tokens = s.split(",");
return new Tuple4<String, String, String, String>(tokens[0], tokens[1], tokens[2], tokens[3]);
}
}).collect();
Integer i = 0;
for(Tuple4<String, String, String, String> line: data) {
Put put = new Put(Bytes.toBytes("row" + i));
put.addColumn(familyName, Bytes.toBytes("c11"), Bytes.toBytes(line._1()));
put.addColumn(familyName, Bytes.toBytes("c12"), Bytes.toBytes(line._2()));
put.addColumn(familyName, Bytes.toBytes("c13"), Bytes.toBytes(line._3()));
put.addColumn(familyName, Bytes.toBytes("c14"), Bytes.toBytes(line._4()));
i += 1;
table.put(put);
}
} catch (IOException e) {
e.printStackTrace();
} finally {
if (table != null) {
try {
table.close();
} catch (IOException e) {
e.printStackTrace();
}
}
if (connection != null) {
try {
// Close the HBase connection.
connection.close();
} catch (IOException e) {
e.printStackTrace();
}
}
jsc.stop();
}
}
} Example: Reading HBase table data
public class TableOutputData {
public static void main(String[] args) throws IOException {
System.setProperty("spark.serializer", "org.apache.spark.serializer.KryoSerializer");
System.setProperty("spark.kryo.registrator", "com.huawei.bigdata.spark.examples.MyRegistrator");
// Create a configuration parameter to connect to HBase and ensure that hbase-site.xml is in classpath.
SparkConf conf = new SparkConf().setAppName("CollectFemaleInfo");
JavaSparkContext jsc = new JavaSparkContext(conf);
Configuration hbConf = HBaseConfiguration.create(jsc.hadoopConfiguration());
//Declare information about the table to be queried.
Scan scan = new org.apache.hadoop.hbase.client.Scan();
scan.addFamily(Bytes.toBytes("info"));
org.apache.hadoop.hbase.protobuf.generated.ClientProtos.Scan proto = ProtobufUtil.toScan(scan);
String scanToString = Base64.encodeBytes(proto.toByteArray());
hbConf.set(TableInputFormat.INPUT_TABLE, "shb1");
hbConf.set(TableInputFormat.SCAN, scanToString);
// Use the Spark API to obtain table data.
JavaPairRDD rdd = jsc.newAPIHadoopRDD(hbConf, TableInputFormat.class, ImmutableBytesWritable.class, Result.class);
// Traverse every row in the HBase table and print the results.
List<Tuple2<ImmutableBytesWritable, Result>> rddList = rdd.collect();
for (int i = 0; i < rddList.size(); i++) {
Tuple2<ImmutableBytesWritable, Result> t2 = rddList.get(i);
ImmutableBytesWritable key = t2._1();
Iterator<Cell> it = t2._2().listCells().iterator();
while (it.hasNext()) {
Cell c = it.next();
String family = Bytes.toString(CellUtil.cloneFamily(c));
String qualifier = Bytes.toString(CellUtil.cloneQualifier(c));
String value = Bytes.toString(CellUtil.cloneValue(c));
Long tm = c.getTimestamp();
System.out.println(" Family=" + family + " Qualifier=" + qualifier + " Value=" + value + " TimeStamp=" + tm);
}
}
jsc.stop();
}
} Last Article: Scenario Description
Next Article: Scala Sample Code
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