实现原理：
1、读取hbase数据每页的数据时多取一条数据。如：分页是10条一页，第一次查询hbase时， 取10+1条数据，然后把第一条和最后一条rowkey数据保存在redis中，redis中的key为用户的token+URL。即token.set(token+url:list<String>);
2、前台点击下页时，查询当前页（currentPagae）在redis的list是否存在list.get(currentPage)的rowkey。如果存在，则以之前为startRowKey，取10+1条，并把最后一条保存在redis中。不存在则查询出错，提示重新查询，理论上不会出现，除非redis挂了。
3、如果查询的数据的startRowKey和stopRowKey在token中都能找到。则只需要查询这个范围数据即可。
3、什么时候清除这些redis数据呢？第一、设置redis有效期。第二，这条很重要，是保证前三条数据准确性的前提。在用户点击非下一页上一页按钮的操作时，都清除redis中的当前用户的数据。
4、即然有分页，那当然有数据量统计count，这个我使用hbase的协处理器coprocessor。当然每次查询count也费时间。当第一次查询时，把count保存在用户的redis中。redis的清除还是第(3)步的过程。
5、能这么做还有一个很重要的前提：前端界面的分页，只提供了两个按钮：上一页和下一页。这是保证这个方案可行性的基础。
下面上代码：
controller中方法的代码，这里的基本框架使用的是renren快速开发套件
@ResponseBody
@RequestMapping("/list")
public R list(@RequestParam Map<String, Object> params,HttpServletRequest httpRequest){
long time = System.currentTimeMillis();
HBasePage page= null;
try{
String token = httpRequest.getHeader("token");
//如需要额外的过滤器，请自己定义并使用.buildFilter(filter)方法添加到query中
//请注意顺序：如果有RowKey的过滤，先添加buildRowKeyFilter，再加buildRowKeyPage。否则无效
HbaseQuery query = new HbaseQuery(params,token,true);
Object cnOrderCodeObject = params.get("cnOrderCode");
if(cnOrderCodeObject!=null&&!((String)cnOrderCodeObject).equals("")){
String cnOrderCode = (String)cnOrderCodeObject;
query.buildRowKeyFilter(cnOrderCode,cnOrderCode);
}
query.buildRowKeyPage().finish();
page = service.query(query).buildRedisRowKey(token);
}catch (Exception e){
e.printStackTrace();
}
long time2 = System.currentTimeMillis();
System.out.println("time2-time==list="+(time2-time));
return R.ok().put("page",page);
}
处理查询参数的类HBaseQuery，因为业务原因，所有的hbase查询有两个必须的条件：开始日期和结束日期，所以我在HBaseQuery中把这两个参数直接封装了。
@Data
public class HbaseQuery {
private static final long serialVersionUID = 1L;
//当前页码
private int page;
//每页条数
private long limit;
private Map<String, Object> params;
private List<String> pageStartRowKeys;
private Date startDate;
private Date endDate;
private StringBuffer startRowKey = new StringBuffer();
private StringBuffer stopRowKey = new StringBuffer();
private RedisUtils redisUtils = (RedisUtils)SpringContextUtils.getBean("redisUtils");
private Scan countScan;
private Scan dataScan= new Scan();
private int cache = 10;
private DateFormat sf =new SimpleDateFormat("yyyy-MM-dd");
private FilterList fl = new FilterList(FilterList.Operator.MUST_PASS_ALL);
private FilterList countfl = new FilterList(FilterList.Operator.MUST_PASS_ALL);
private boolean isOpenCount;
private String token;
public HbaseQuery(Map<String, Object> params,String token,boolean isOpenCount)throws Exception{
this.isOpenCount = isOpenCount;
this.token = token;
this.params = params;
String temp2 = (String)params.get("startDate");
startDate = sf.parse(temp2);
String temp = (String)params.get("endDate");
endDate = sf.parse(temp);
endDate = DateUtils.addDays(endDate,1);
this.page = Integer.parseInt(params.get("page").toString());
this.limit = Integer.parseInt(params.get("limit").toString());
cache = limit>5000?5000:((int)limit+1);//加1，因为每次都会取limit+1条数据
params.remove("startDate");
params.remove("endDate");
params.remove("page");
params.remove("limit");
initRowKeyFilter();
}
public void initRowKeyFilter(){
Long endLong = Long.MAX_VALUE-startDate.getTime();
Long startLong = Long.MAX_VALUE-(DateUtils.addDays(endDate,1).getTime()-1);
stopRowKey.append(endLong);
startRowKey.append(startLong);
}
//请注意顺序：如果有RowKey的过滤，先添加buildRowKeyFilter，再加buildRowKeyPage。否则无效
public HbaseQuery buildRowKeyFilter(String startRowKey,String stopRowKey){
if (this.startRowKey.equals("")) {
this.stopRowKey.append(startRowKey);
} else {
this.stopRowKey.append("-").append(startRowKey);
}
if (this.stopRowKey.equals("")) {
this.stopRowKey.append(stopRowKey);
} else {
this.stopRowKey.append("-").append(stopRowKey);
}
return this;
}
//请注意顺序：如果有RowKey的过滤，先添加buildRowKeyFilter，再加buildRowKeyPage。否则无效
public HbaseQuery buildRowKeyPage()throws Exception{
List<String> pageStartRowKeys = redisUtils.get(token,List.class);
//点击上一页或下一页
Object temp =params.get("pageicon");
if(temp!=null&&!((String)temp).equals("")&&!((String)temp).equals("records")){
//且redis中的startRowKeys不为空
String pageicon = (String)temp;
if(pageStartRowKeys!=null){
String startRowKey = pageStartRowKeys.get(this.page-1);
if(pageicon.equals("next")&&pageStartRowKeys.size()==this.page){
this.startRowKey = new StringBuffer(startRowKey);
Filter pageFilter=new PageFilter(cache);
fl.addFilter(pageFilter);
}else if((pageicon.equals("next")&&pageStartRowKeys.size()>this.page)
||pageicon.equals("prev")){
String stopRowKey = pageStartRowKeys.get(this.page);
this.startRowKey = new StringBuffer(startRowKey);
this.stopRowKey = new StringBuffer(stopRowKey);
Filter pageFilter=new PageFilter(this.getLimit());
fl.addFilter(pageFilter);
}
}else{
throw new Exception("点的是分页，但是redis中没有数据，这程序肯定有问题");
}
}else{//点击的非分页按钮，则删除redis中分页信息
redisUtils.delete(token);
redisUtils.delete(RedisKeys.getPageCountKey(token));
Filter pageFilter=new PageFilter(this.getLimit()+1);
fl.addFilter(pageFilter);
}
dataScan.setCaching(cache);
return this;
}
public HbaseQuery addFilter(Filter filter){
fl.addFilter(filter);
countfl.addFilter(filter);
return this;
}
public HbaseQuery finish(){
String count = redisUtils.get(RedisKeys.getPageCountKey(token));
if(isOpenCount&&(count==null||count.equals(""))){
countScan= new Scan();
countScan.setMaxVersions();
countScan.setCaching(5);
countScan.setStartRow((startRowKey.toString()).getBytes());
countScan.setStopRow((stopRowKey.toString()).getBytes());
countScan.setFilter(countfl);
}
dataScan.setMaxVersions();
dataScan.setStartRow((startRowKey.toString()).getBytes());
dataScan.setStopRow((stopRowKey.toString()).getBytes());
dataScan.setFilter(fl);
return this;
}
}
查询hbase的方法。注意：在使用hbase的协处理器前，请先确保表开通了此功能。
hbase表开通协处理功能方法(shell命令)：
(1)disable指定表。hbase> disable 'mytable'
(2)添加aggregation hbase> alter 'mytable', METHOD => 'table_att','coprocessor'=>'|org.apache.hadoop.hbase.coprocessor.AggregateImplementation||'
(3)重启指定表 hbase> enable 'mytable'
public HBasePage query(HbaseQuery query) {
long time = System.currentTimeMillis();
Map<String,String> communtiyKeysMap = new HashMap<>();
HBasePage page = new HBasePage(query.getLimit(),query.getPage());
final String tableName = this.getTableName();
if(query.getCountScan()!=null){
AggregationClient ac = new AggregationClient(hbaseTemplate.getConfiguration());
try{
long count = ac.rowCount(TableName.valueOf(tableName),new LongColumnInterpreter(),query.getCountScan());
page.setTotalCount(count);
}catch (Throwable e){
e.printStackTrace();
}
}
long time2 = System.currentTimeMillis();
List rows = hbaseTemplate.find(tableName, query.getDataScan(), new RowMapper<Object>() {
@Override
public Object mapRow(Result result, int i) throws Exception {
Class clazz = ReflectMap.get(tableName);//这里做了表名和实体Bean的映射。
if(i==0){
communtiyKeysMap.put("curPageStart", new String(result.getRow()));
}
if(i==query.getLimit()){
communtiyKeysMap.put("nextPageStart", new String(result.getRow()));
}
HBaseResultBuilder hrb = new HBaseResultBuilder<Object>("sf", result, clazz);
return hrb.buildAll().fetch();
}
});
//
if(rows.size()>0&&page.getPageSize()<rows.size()){
rows.remove(rows.size()-1);
}
page.setList(rows);
page.setNextPageRow(communtiyKeysMap.get("nextPageStart"));
page.setCurPageRow(communtiyKeysMap.get("curPageStart"));
long time3 = System.currentTimeMillis();
System.out.println("time2-time==getCount="+(time2-time));
System.out.println("time3-time2==getData="+(time3-time2));
return page;
}
/分页类的代码HbasePage
public class HBasePage implements Serializable {
private static final long serialVersionUID = 1L;
//总记录数
protected long totalCount;
//每页记录数
protected long pageSize;
//总页数
protected int totalPage;
//当前页数
protected int currPage;
//列表数据
protected List<Object> list;
private String nextPageRow;//下一页的ROWKEY
private String curPageRow;//当前页的开始ROWKEY
/**
* 分页
* @param pageSize 每页记录数
* @param currPage 当前页数
*/
public HBasePage(long pageSize, int currPage) {
this.list = list;
this.totalCount = totalCount;
this.pageSize = pageSize;
this.currPage = currPage;
}
public void setTotalCount(long totalCount) {
this.totalCount = totalCount;
this.totalPage = (int)Math.ceil((double)totalCount/pageSize);
}
public HBasePage buildRedisRowKey(String token){
RedisUtils redisUtils = (RedisUtils)SpringContextUtils.getBean("redisUtils");
List<String> pageStartRowKeys = redisUtils.get(token,List.class);
List<String> pageRowKeys = redisUtils.get(token,List.class);
if(this.getList().size()>0){
if(pageRowKeys==null||pageRowKeys.size()<=0){
pageRowKeys = new ArrayList<>();
pageRowKeys.add(this.getCurPageRow().substring(0,this.getCurPageRow().indexOf("-")+1));
pageRowKeys.add(this.getNextPageRow().substring(0,this.getNextPageRow().indexOf("-")+1));
redisUtils.set(token,pageRowKeys);
}else{
if(pageRowKeys.size()>this.getCurrPage()){
//doNothing
}else if(pageRowKeys.size()==this.getCurrPage()){
pageRowKeys.add(this.getNextPageRow().substring(0,this.getNextPageRow().indexOf("-")+1));
redisUtils.set(token,pageRowKeys);
}
}
}
return this;
}
}
注意：
1、我的rowKey设置规则是 (Long_Max-new Date().getTime()+"-"+id)，所以在看startRowKey和stopRowKey时特别注意。
如有什么更好的办法或代码缺陷，欢迎留言探讨。
@ResponseBody
@RequestMapping("/list")
@RequiresPermissions("business:stockinbill:list")
public R list(@RequestParam Map<String, Object> params,HttpServletRequest httpRequest){
long time = System.currentTimeMillis();
HBasePage page= null;
try{
String token = httpRequest.getHeader("token");
//如需要额外的过滤器，请自己定义并使用.buildFilter(filter)方法添加到query中
//请注意顺序：如果有RowKey的过滤，先添加buildRowKeyFilter，再加buildRowKeyPage。否则无效
HbaseQuery query = new HbaseQuery(params,token,true);
Object cnOrderCodeObject = params.get("cnOrderCode");
if(cnOrderCodeObject!=null&&!((String)cnOrderCodeObject).equals("")){
String cnOrderCode = (String)cnOrderCodeObject;
query.buildRowKeyFilter(cnOrderCode,cnOrderCode);
}
query.buildRowKeyPage().finish();
page = stockInBillService.query(query).buildRedisRowKey(token);
}catch (Exception e){
e.printStackTrace();
}
long time2 = System.currentTimeMillis();
System.out.println("time2-time==list="+(time2-time));
return R.ok().put("page",page);
}
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