那个,最近在写这个Flink SQL对接HBase,但是在对接的时候,FlinkSQL需要用到我们自己实现的InputFormat接口的一个HBase的InputFormat。然后我自己写了一个继承RichInputFormat的HBaseInputFormat类,是按照JDBCInputFormat来写的。但是着实是不知道后面怎么处理了,有没有大神帮我看一下?
public class HBaseInputFormat extends RichInputFormat<ResultScanner , InputSplit> {
private static final long serialVersionUID = 1L;
private static final Logger LOG = LoggerFactory.getLogger(HBaseInputFormat.class);
private org.apache.hadoop.conf.Configuration conf = null;
private Connection connection = null;
private Admin admin = null;
private String tableName ;
private String quorum ;
private String clientPort ;
private ResultScanner scanner ;
@Override
public void configure(Configuration parameters) {
//do nothing here
}
@Override
public BaseStatistics getStatistics(BaseStatistics cachedStatistics) throws IOException {
return cachedStatistics;
}
@Override
public InputSplit[] createInputSplits(int minNumSplits) throws IOException {
if (minNumSplits < 1 ){
throw new IllegalArgumentIOException("Number of input splits must be at least 1.");
}
minNumSplits = (this instanceof NonParallelInput ) ? 1 : minNumSplits ;
GenericInputSplit[] splits = new GenericInputSplit[minNumSplits];
for (int i = 0 ; i < splits.length ; i ++ ){
splits[i] = new GenericInputSplit(i , minNumSplits) ;
}
return splits;
}
@Override
public InputSplitAssigner getInputSplitAssigner(InputSplit[] inputSplits) {
return new DefaultInputSplitAssigner(inputSplits);
}
// 打开与HBase的连接
@Override
public void openInputFormat() {
System.out.println("openInputFormat...");
conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum" , quorum);
conf.set("hbase.zookeeper.property.clientPort" , clientPort);
try {
connection = ConnectionFactory.createConnection(conf);
} catch (IOException e) {
throw new IllegalArgumentException("connection failed " + e.getMessage() , e) ;
}
try {
admin = connection.getAdmin() ;
} catch (IOException e) {
throw new IllegalArgumentException("admin failed " + e.getMessage() , e) ;
}
}
@Override
public void closeInputFormat() {
if (connection != null ){
try {
connection.close();
} catch (IOException e) {
throw new IllegalArgumentException("connection closed failed " + e.getMessage() , e) ;
}
}
if (admin != null ){
try {
admin.close();
} catch (IOException e) {
throw new IllegalArgumentException("admin closed failed " + e.getMessage() , e) ;
}
}
}
@Override
public void open(InputSplit split) throws IOException {
Table table = connection.getTable(TableName.valueOf(tableName));
Scan scan = new Scan();
scanner = table.getScanner(scan);
}
@Override
public boolean reachedEnd() throws IOException {
if (scanner.next() != null) {return true;}
return false ;
}
@Override
public ResultScanner nextRecord(ResultScanner reuse) throws IOException {
return reuse;
}
@Override
public void close() throws IOException {
if (scanner == null ){
return ;
}
try {
scanner.close();
}catch (Exception e){
LOG.info("Inputformat ResultScanner couldn't be closed - " + e.getMessage());
}
}
@VisibleForTesting
Admin getAdmin(){ return admin ;}
@VisibleForTesting
Connection getConnection(){return connection ;}
public static HBaseInputFormatBuilder buildHBaseInputFormat() {
return new HBaseInputFormatBuilder();
}
public static class HBaseInputFormatBuilder {
private final HBaseInputFormat format ;
public HBaseInputFormatBuilder(){
this.format = new HBaseInputFormat();
}
public HBaseInputFormatBuilder setQuorum(String quorum) {
format.quorum = quorum ;
return this;
}
public HBaseInputFormatBuilder setClientPort(String clientPort){
format.clientPort = clientPort ;
return this ;
}
public HBaseInputFormatBuilder setTableName(String tableName){
format.tableName = tableName ;
return this ;
}
public HBaseInputFormatBuilder open(){
format.openInputFormat();
return this ;
}
public HBaseInputFormat finish(){
if (format.quorum == null ){
LOG.info("quorum was not supplied separately.");
}
if (format.clientPort == null ){
LOG.info("clientPort was not supplied separately.");
}
if (format.tableName == null ){
LOG.info("tableName was not supplied separately.");
}
if (format.connection == null ){
throw new IllegalArgumentException("No connection supplied");
}
if (format.admin == null ){
throw new IllegalArgumentException("No admin supplied");
}
return format ;
}
}
}
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在Flink SQL中自定义InputFormat以对接HBase,你已经正确地开始通过继承RichInputFormat
并实现了部分方法。接下来,你需要完成几个关键步骤来确保数据可以从HBase读取到Flink中。以下是一些关键点和代码示例,帮助你继续完成这个任务:
初始化HBase连接: 在open()
方法中初始化HBase的配置、连接和Admin对象。
创建InputSplit: 根据HBase表的分区逻辑(如Region)来生成InputSplit。这一步可能需要查询HBase的元数据信息来决定如何分割数据。
实现createInputSplits()
: 生成多个InputSplit,每个Split代表一部分数据的读取任务。
实现openInputSplit()
: 根据传入的InputSplit初始化Scanner或其他必要的读取器。
实现reachEnd()
和nextRecord()
: 这两个方法分别用于判断是否读取完毕以及从HBase获取下一个记录。
序列化与反序列化: 将HBase中的数据转换为Flink可以处理的数据类型。
下面是一个简化的示例代码框架,供你参考:
public class HBaseInputFormat extends RichInputFormat<Row, InputSplit> {
// ...你的成员变量...
@Override
public void openInputFormat() throws IOException {
conf = HBaseConfiguration.create();
conf.set("hbase.zookeeper.quorum", quorum);
conf.set("hbase.zookeeper.property.clientPort", clientPort);
connection = ConnectionFactory.createConnection(conf);
admin = connection.getAdmin();
}
@Override
public void closeInputFormat() throws IOException {
if (admin != null) {
admin.close();
}
if (connection != null) {
connection.close();
}
}
@Override
public InputSplit[] createInputSplits(int minNumSplits) throws IOException {
// 实现根据表大小或逻辑划分InputSplit
List<InputSplit> splits = new ArrayList<>();
// 假设简单分片,实际应根据HBase Region等进行
for (int i = 0; i < minNumSplits; i++) {
splits.add(new GenericInputSplit(i, minNumSplits));
}
return splits.toArray(new InputSplit[0]);
}
@Override
public void open(InputSplit split) throws IOException {
// 根据split初始化scanner,例如基于rowkey范围
TableName table = TableName.valueOf(tableName);
Table htable = connection.getTable(table);
// 假设使用Scan操作,实际需根据需求调整
Scan scan = new Scan();
// 设置scan参数...
scanner = htable.getScanner(scan);
}
@Override
public boolean reachedEnd() throws IOException {
return !scanner.iterator().hasNext();
}
@Override
public Row nextRecord(Row reuse) throws IOException {
if (!reachedEnd()) {
Result result = scanner.next();
// 将Result转换为Flink Row,这里需要根据你的数据结构来实现
// 示例:假设结果只包含一个列族和一列
byte[] value = result.getValue(Bytes.toBytes("cf"), Bytes.toBytes("qualifier"));
String stringValue = new String(value, StandardCharsets.UTF_8);
reuse.setField(stringValue, 0); // 假设只有一个字段
return reuse;
} else {
return null;
}
}
}
请根据你的具体需求调整上述代码,比如Scan的设置、Row的构造等。记得处理好异常情况,并在不需要时关闭资源。希望这能帮助你完成Flink SQL与HBase的集成工作!