使用php的mongo 扩展进行数据统计计算,其中有一个时间戳字段,由于精确到了毫秒,长度有13位,但由于开始的时候是以字符串的形式存储:

 

实例代码如下:

 

{ "_id" : ObjectId("504eea97e4b023cf38e34039"), "in_ts" : NumberLong("1347349143699"), "log" : { "guid" : "4D1F3079-7507-F4B0-E7AF-5432D5D8229D", "p" : "View_Prop_YepPage_Zheng", "cid" : "11", "url" : "http://shanghai.haozu.com/rental/broker/n/10481780", "rfpn" : "Listing_V2_IndexPage_All", "site" : "haozu", "agent" : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)", "stamp" : "1347349162159", "cip" : "116.226.70.44", "referer" : "http://shanghai.haozu.com/shop/1464934/", "cstamp" : "1347349323125", "sessid" : "FA798056-F9E7-F961-41E0-CC95C850FA47", "uguid" : "C00FF55B-3D3D-4B31-4318-12345B0DBE64", "pn" : "View_Prop_YepPage_Zheng", "cstparam" : { "proId" : NumberLong(10481780), "brokerId" : "326792", "tradeType" : "2", "userType" : "0", "channel" : "site", "entry" : "1", "COMMID" : "1666" } }, "out_ts" : NumberLong("1347349466083"), "rule" : 0, "status" : "ok", "txid" : 0 } 

后来改成数字格式:

 

实例代码如下:

 

{ "_id" : ObjectId("504eea97e4b023cf38e34039"), "in_ts" : NumberLong("1347349143699"), "log" : { "guid" : "4D1F3079-7507-F4B0-E7AF-5432D5D8229D", "p" : "View_Prop_YepPage_Zheng", "cid" : "11", "url" : "http://shanghai.haozu.com/rental/broker/n/10481780", "rfpn" : "Listing_V2_IndexPage_All", "site" : "haozu", "agent" : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)", "stamp" : NumberLong("1347349162159"), "cip" : "116.226.70.44", "referer" : "http://shanghai.haozu.com/shop/1464934/", "cstamp" : "1347349323125", "sessid" : "FA798056-F9E7-F961-41E0-CC95C850FA47", "uguid" : "C00FF55B-3D3D-4B31-4318-12345B0DBE64", "pn" : "View_Prop_YepPage_Zheng", "cstparam" : { "proId" : NumberLong(10481780), "brokerId" : "326792", "tradeType" : "2", "userType" : "0", "channel" : "site", "entry" : "1", "COMMID" : "1666" } }, "out_ts" : NumberLong("1347349466083"), "rule" : 0, "status" : "ok", "txid" : 0 }为字符串时,使用下面的查询是正常的 

        $query = array ('log.stamp' => array ('$gte' => ‘1347346800000’, '$lt' => ‘1347350400000’)); 

但是改为数字后,使用下面的查询,死活没有结果,但是直接在mongo客户端直接查询是有结果的:

 

实例代码如下:

 

{ "_id" : ObjectId("504eea97e4b023cf38e34039"), "in_ts" : NumberLong("1347349143699"), "log" : { "guid" : "4D1F3079-7507-F4B0-E7AF-5432D5D8229D", "p" : "View_Prop_YepPage_Zheng", "cid" : "11", "url" : "http://shanghai.haozu.com/rental/broker/n/10481780", "rfpn" : "Listing_V2_IndexPage_All", "site" : "haozu", "agent" : "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1)", "stamp" : NumberLong("1347349162159"), "cip" : "116.226.70.44", "referer" : "http://shanghai.haozu.com/shop/1464934/", "cstamp" : "1347349323125", "sessid" : "FA798056-F9E7-F961-41E0-CC95C850FA47", "uguid" : "C00FF55B-3D3D-4B31-4318-12345B0DBE64", "pn" : "View_Prop_YepPage_Zheng", "cstparam" : { "proId" : NumberLong(10481780), "brokerId" : "326792", "tradeType" : "2", "userType" : "0", "channel" : "site", "entry" : "1", "COMMID" : "1666" } }, "out_ts" : NumberLong("1347349466083"), "rule" : 0, "status" : "ok", "txid" : 0 }为字符串时,使用下面的查询是正常的 

        $query = array ('log.stamp' => array ('$gte' => ‘1347346800000’, '$lt' => ‘1347350400000’)); 

实例代码如下:

 

db.haozu_success.find({'log.stamp':{$gte:1347346800000,$lt:1347350400000}}) 

php手册上也是这么个用法:

 

 

$query = array ('log.stamp' => array ('$gte' => 1347346800000, '$lt' => 1347350400000)); 

花了好大一会找原因,开始时怀疑是php扩展的bug导致,经过一番思考.突然想到可能是类型问题导致,发现手册上有Types 介绍,所以正确的用法如下:

 

实例代码如下:

 

$query = array ('log.stamp' => array ('$gte' => new MongoInt64($time_range['start']), '$lt' => new MongoInt64($time_range['end']))); 

另外,在使用mapreduce进行数据统计时,为了防止cursor出现超时异常,还需要设置一下超时时间

 

实例代码如下:

 

$map = new MongoCode ( ' 

                function(){ 

                    var prop_id=this.log.cstparam.proId; 

                    var key=this.log.site+prop_id 

                    emit(key,{"channel":this.log.site,"prop_id":prop_id,"count":1}); 

                } 

                ' ); 

        $reduce = new MongoCode ( ' 

                function(key,emits){ 

                    var total=0; 

                    for(var i in emits){ 

                        total+=emits[i].count; 

                    } 

                    return {"channel":emits[0].channel,"prop_id":eval(emits[0].prop_id),"count":total}; 

                } 

                ' ); 

$this->mongo_db->command ( array ('mapreduce' => $collection_name, 'map' => $map, 'reduce' => $reduce, 'out' => $tmp_result, 'query' => $query),array('timeout'=>self::MONGO_CURSOR_TIMEOUT) );