CN105320771A - Hash ring based time sequence database service cluster implementation method and system - Google Patents
Hash ring based time sequence database service cluster implementation method and system Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
Abstract
The present invention provides a hash ring based time sequence database service cluster implementation method and system. The system comprises a measurement point encoding module, a measurement point transmission module and a measurement point storage module. The measurement point encoding module is used for performing hash calculation according to a keyword of a measurement point to obtain a hash value corresponding to the measurement point. A code, the hash value and a measurement point value of the measurement point are serialized by the measurement point transmission module and then are transmitted to a time sequence database service cluster. The measurement point storage module creates the hash ring based time sequence database service cluster, receives measurement point data and selects, according to the hash value of the measurement point, one server from the service cluster to store an acquired value of the measurement point. According to the present invention, the load balancing of the time sequence database service cluster is realized, hardware resources of the database cluster can be fully utilized and overall data processing performance is improved.
Description
Technical field
The present invention relates to technical field of electric power automation, in particular to a kind of implementation method and system of the time series databases service cluster based on Hash ring.
Background technology
Time series databases is mainly used in storing the data that all types of Real-Time Monitoring, the check and analysis equipment such as intelligent grid operational system, industrial energy management and control, new forms of energy monitoring gathers, produces, and the typical feature of these industrial datas is: produce that frequency fast (each monitoring point one second in can produce many data), measuring point are many, data message amount greatly (producing the data volume of tens GB every day).At present, main dependence time series database carries out the storage of historical data to these data.
Traditional time series databases service cluster adopts master-slave mode.Under master-slave mode, the data storage request of client concentrates on main service node, only just processes request when main service node fault from service node.The shortcoming of this mode is: the load too high of main service node, can not get Appropriate application from service node resource.Meanwhile, the performance that service node effectively can not improve integrity service is increased.
The invention provides a kind of implementation method and system of the time series databases service cluster based on Hash ring; the load balancing of server cluster can be realized; solve the main service node load too high of conventional time series database service cluster master-slave mode; Appropriate application is can not get, the shortcoming that integrity service performance cannot effectively improve from service node resource.Meanwhile, adopt consistance hash algorithm creation-time sequence library service cluster, support dynamically to increase and decrease service node, there is good fault-tolerance and extensibility.
Summary of the invention
For defect and the deficiency of prior art; the present invention aims to provide a kind of implementation method and system of the time series databases service cluster based on Hash ring; effectively can realize the load balancing of server cluster; Appropriate application utilizes the hardware resource of service node, improves the overall data process performance of server cluster.Meanwhile, adopt conforming hash algorithm sequence library positioning time service node, support dynamically to increase and decrease service node, there is good fault-tolerance and extensibility.
For reaching above-mentioned purpose, technical scheme proposed by the invention is as follows:
Based on implementation method and the system of the time series databases service cluster of Hash ring, comprising: measuring point coding module, measuring point sending module and measuring point memory module.
Described measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding;
The coding of measuring point, cryptographic hash and collection value are carried out serializing by measuring point sending module, and the measuring point data bag after serializing is sent to time series databases server cluster;
Measuring point memory module creates the time series databases server cluster based on Hash ring, receives measuring point data bag, according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
Further, the system of the described time series databases service cluster based on Hash ring, it is characterized in that, described measuring point coding module chooses the characteristic quantity of measuring point, as the coded string of measuring point.The coding of characteristic quantity as measuring point of any one measuring point following can be selected:
(1) electrical specification of measuring point: comprise active power, reactive power, applied power, voltage, power factor, electric current, on off state, tap joint position, frequency, guard signal, phase angle and common measuring point.
(2) the electric title of measuring point: adopt plant stand equipment to name+measure the mode of type command, as the electric title of measuring point.
(3) random coded of measuring point: according to current machine time, generates the random coded as measuring point.Generate measuring point random coded as follows:
Measuring point random coded=X
0* 1000+X
1formula (1)
X in formula (1)
0for the absolute number of seconds of current machine time, X
1for the millisecond number of current machine time.
Further, the system of the described time series databases service cluster based on Hash ring, is characterized in that, described measuring point coding module uses hash algorithm the coded string of measuring point to be mapped as the binary value of 32 bit lengths, as the cryptographic hash of measuring point.
The hash algorithm selected comprises: BKDRHash algorithm, APHash algorithm, DJBHash algorithm, PJWHash algorithm, ELFHash algorithm, SDBMHash algorithm.
Further; the system of the described time series databases service cluster based on Hash ring; it is characterized in that; described measuring point sending module uses JSON form that the coding of measuring point, cryptographic hash, collection value are carried out serializing, and the measuring point data bag after serializing is sent to time series databases service cluster.
Data packet format after serializing is defined as follows:
{"Point":[
{ " Code ": " eastern roc circuit P ", " Hash ": " 0EA434D ", " Value ": " 10.56 " },
{ " Code ": " eastern roc circuit Q ", " Hash ": " 090FF4A ", " Value ": " 20.56 " }
………
]}
Wherein, label " Point " represents measuring point type, and label " Code " represents measuring point coding, and label " Hash " represents the cryptographic hash of measuring point, and label " Value " represents collection value.
Further, the system of the described time series databases service cluster based on Hash ring, is characterized in that, described measuring point memory module creates an end to end virtual Hash ring.The node name of each station server of service cluster or IP character string maps are the binary value of 32 bit lengths by use hash algorithm; as the cryptographic hash of each station server; then be distributed on virtual Hash ring according to each station server of large young pathbreaker of cryptographic hash, form server cluster.
The hash algorithm selected comprises: BKDRHash algorithm, APHash algorithm, DJBHash algorithm, PJWHash algorithm, ELFHash algorithm, SDBMHash algorithm, be consistent with the hash algorithm of measuring point coding module.
Further, the system of the described time series databases service cluster based on Hash ring, is characterized in that, measuring point data bag is carried out unserializing by described measuring point memory module, obtains the coding of each measuring point, cryptographic hash and collection value.According to the cryptographic hash of measuring point, measuring point is mapped to the some points on server virtual Hash ring.If this point just in time hits certain time series databases server cluster node, then this node is selected to store coding and the collection value of this measuring point; Otherwise, search by virtual Hash ring clockwise direction, until find a time series database server node to process data storage request.
Based on an implementation method for the time series databases service cluster of Hash ring, it is characterized in that, comprise the following steps:
Measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding;
The coding of measuring point, cryptographic hash and collection value are carried out serializing by measuring point sending module, and the measuring point data bag after serializing is sent to time series databases server cluster;
Measuring point memory module creates the time series databases server cluster based on Hash ring, receives the measuring point data bag that measuring point sending module sends, and according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
From the above technical solution of the present invention shows that; beneficial effect of the present invention is the implementation method and the system that provide a kind of time series databases service cluster based on Hash ring; the load balancing of server cluster can be realized; solve the main service node load too high of conventional time series database service cluster master-slave mode; Appropriate application is can not get, the shortcoming that integrity service performance cannot effectively improve from service node resource.Meanwhile, adopt consistance hash algorithm creation-time sequence library service cluster, support dynamically to increase and decrease service node, there is good fault-tolerance and extensibility.
Accompanying drawing explanation
Fig. 1 is for realizing time series databases service cluster process flow diagram.
Fig. 2 is for realizing measuring point coding module data streams journey figure.
Fig. 3 is for realizing measuring point sending module data streams journey figure.
Fig. 4 is based on the 3 node time sequence library service cluster distribution schematic diagrams that Hash ring builds in preferred embodiment of the present invention.
Fig. 5 is the process flow diagram realizing carrying out after measuring point memory module receives data server selection.
Embodiment
In order to more understand technology contents of the present invention, institute's accompanying drawings is coordinated to be described as follows especially exemplified by specific embodiment.
As Figure 1-Figure 5; according to preferred embodiment of the present invention; based on the system of the time series databases service cluster of Hash ring; comprise measuring point coding module, measuring point sending module and measuring point memory module; described measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding.Measuring point sending module, by after the coding of measuring point, cryptographic hash and measuring point value sequence, is sent to time series databases server cluster.Measuring point memory module creates the time series databases server cluster based on Hash ring, receives measuring point data, according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
Shown in figure 1, measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding.Measuring point sending module is sent to time series databases service cluster by after the coding of measuring point, cryptographic hash and measuring point value sequence.Measuring point memory module creates the time series databases server cluster based on Hash ring, receives measuring point data, according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
Shown in figure 2, measuring point coding module chooses the characteristic quantity of measuring point, as the coded string of measuring point.The coding of characteristic quantity as measuring point of any one measuring point following can be selected:
(1) electrical specification of measuring point: comprise active power, reactive power, applied power, voltage, power factor, electric current, on off state, tap joint position, frequency, guard signal, phase angle and common measuring point.
(2) the electric title of measuring point: adopt plant stand equipment to name+measure the mode of type command, as the electric title of measuring point.
(3) random coded of measuring point: according to current machine time, generates the random coded as measuring point.Generate measuring point random coded as follows:
Measuring point random coded=X
0* 1000+X
1formula (1)
X in formula (1)
0for the absolute number of seconds of current machine time, X
1for the millisecond number of current machine time.
Measuring point coding module uses hash algorithm the coded string of measuring point to be mapped as the binary value of 32 bit lengths, as the cryptographic hash of measuring point.The hash algorithm selected comprises: BKDRHash algorithm, APHash algorithm, DJBHash algorithm, PJWHash algorithm, ELFHash algorithm or SDBMHash algorithm.
Shown in figure 3, measuring point sending module uses JSON form that the coding of measuring point, cryptographic hash, collection value are carried out serializing, and the measuring point data bag after serializing is sent to time series databases server cluster.
Data packet format after serializing is defined as follows:
{"Point":[
{ " Code ": " eastern roc circuit P ", " Hash ": " Ox0EA4 ", " Value ": " 10.56 " },
{ " Code ": " eastern roc circuit Q ", " Hash ": " Ox090F ", " Value ": " 20.56 " }
………
]}
Wherein, label " Point " represents measuring point type, and label " Code " represents measuring point coding, and label " Hash " represents the cryptographic hash of measuring point, and label " Value " represents collection value.
Shown in figure 4, measuring point memory module creates the end to end virtual Hash ring of 3 nodes.The node name of each station server of server cluster or IP character string maps are the binary value of 32 bit lengths by use hash algorithm; as the cryptographic hash of each station server; then be distributed on virtual Hash ring according to each station server of large young pathbreaker of cryptographic hash, form server cluster.
The hash algorithm that measuring point memory module is selected comprises: BKDRHash algorithm, APHash algorithm, DJBHash algorithm, PJWHash algorithm, ELFHash algorithm or SDBMHash algorithm, be consistent with the hash algorithm of measuring point coding module.
Shown in figure 5, when measuring point memory module receives measuring point data bag, measuring point data bag is carried out unserializing, obtain the coding of each measuring point, cryptographic hash and collection value.According to the cryptographic hash of measuring point, measuring point is mapped to the some points on server annulus (virtual Hash ring).If this point just in time hits certain time series databases server cluster node, then this server node is selected to store coding and the collection value of this measuring point; Otherwise, search in the direction of the clock, until find server node on a virtual Hash ring to process storage resource request.
In sum; the implementation method of the time series databases service cluster based on Hash ring of the present invention and system; the load balancing of server cluster can be realized; solve the main service node load too high of conventional time series database service cluster master-slave mode; Appropriate application is can not get, the shortcoming that integrity service performance cannot effectively improve from service node resource.Meanwhile, adopt consistance hash algorithm creation-time sequence library service cluster, support dynamically to increase and decrease service node, there is good fault-tolerance and extensibility.
Although the present invention with preferred embodiment disclose as above, so itself and be not used to limit the present invention.Persond having ordinary knowledge in the technical field of the present invention, without departing from the spirit and scope of the present invention, when being used for a variety of modifications and variations.Therefore, protection scope of the present invention is when being as the criterion depending on those as defined in claim.
Claims (9)
1. based on a system for the time series databases service cluster of Hash ring, it is characterized in that, comprise measuring point coding module, measuring point sending module and measuring point memory module;
Described measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding;
The coding of measuring point, cryptographic hash and collection value are carried out serializing by measuring point sending module, and the measuring point data bag after serializing is sent to time series databases server cluster;
Measuring point memory module creates the time series databases server cluster based on Hash ring, receives measuring point data bag, according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
2. the system of the time series databases service cluster based on Hash ring according to claim 1; it is characterized in that; the characteristic quantity of measuring point selected in the key word of measuring point; described measuring point coding module chooses the characteristic quantity of measuring point; as the coded string of measuring point, and select the coding of characteristic quantity as measuring point of any one measuring point following:
(1) electrical specification of measuring point: comprise active power, reactive power, applied power, voltage, power factor, electric current, on off state, tap joint position, frequency, guard signal, phase angle and common measuring point;
(2) the electric title of measuring point: adopt plant stand equipment to name+measure the mode of type command, as the electric title of measuring point;
(3) random coded of measuring point: according to current machine time, generates the random coded as measuring point.
3. the system of the time series databases service cluster based on Hash ring according to claim 2, is characterized in that, generate the random coded of measuring point as follows:
Random coded=the X of measuring point
0* 1000+X
1formula (1)
X in formula (1)
0for the absolute number of seconds of current machine time, X
1for the millisecond number of current machine time.
4. the system of the time series databases service cluster based on Hash ring according to claim 1; it is characterized in that; described measuring point coding module uses hash algorithm the coded string of measuring point to be mapped as the binary value of 32 bit lengths, as the cryptographic hash of measuring point.
5. the system of the time series databases service cluster based on Hash ring according to claim 1, it is characterized in that, described measuring point sending module uses JSON form that the coding of measuring point, cryptographic hash, collection value are carried out serializing, and the measuring point data bag after serializing is sent to time series databases server cluster;
Measuring point data packet format after serializing is defined as follows:
{"Point":[
{ " Code ": " eastern roc circuit P ", " Hash ": " Ox0EA4 ", " Value ": " 10.56 " },
{ " Code ": " eastern roc circuit Q ", " Hash ": " Ox090F ", " Value ": " 20.56 " }
………
]}
Wherein, label " Point " represents measuring point type, and label " Code " represents measuring point coding, and label " Hash " represents the cryptographic hash of measuring point, and label " Value " represents collection value.
6. the system of the time series databases service cluster based on Hash ring according to claim 1, is characterized in that, described measuring point memory module creates an end to end virtual Hash ring; The node name of each station server in server cluster or IP character string maps are the binary value of 32 bit lengths by use hash algorithm; as the cryptographic hash of each station server; then be distributed on virtual Hash ring according to each station server of large young pathbreaker of cryptographic hash, form server cluster.
7. the system of the time series databases service cluster based on Hash ring according to claim 4 or 6; it is characterized in that, described hash algorithm comprises: BKDRHash algorithm, APHash algorithm, DJBHash algorithm, PJWHash algorithm, ELFHash algorithm or SDBMHash algorithm.
8. the system of the time series databases service cluster based on Hash ring according to claim 1, is characterized in that, measuring point data bag is carried out unserializing by described measuring point memory module, obtains the coding of each measuring point, cryptographic hash and collection value; According to the cryptographic hash of measuring point, measuring point is mapped to the some points on server virtual Hash ring; If this point just in time hits certain time series databases server cluster node, then this node is selected to store coding and the collection value of this measuring point; Otherwise, search by virtual Hash ring clockwise direction, until find a server node to process data storage request.
9., based on an implementation method for the time series databases service cluster of Hash ring, it is characterized in that, comprise the following steps:
Measuring point coding module carries out Hash calculation according to the key word of measuring point, obtains the cryptographic hash that this measuring point is corresponding;
The coding of measuring point, cryptographic hash and collection value are carried out serializing by measuring point sending module, and the measuring point data bag after serializing is sent to time series databases server cluster;
Measuring point memory module creates the time series databases server cluster based on Hash ring, receives the measuring point data bag that measuring point sending module sends, and according to measuring point cryptographic hash, selects a station server to store measuring point collection value from server cluster.
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| CN112817752A (en) * | 2021-01-21 | 2021-05-18 | 西安交通大学 | Distributed database dynamic load balancing method |
| CN112965937A (en) * | 2021-03-11 | 2021-06-15 | 北京华恒盛世科技有限公司 | High-availability operation and maintenance system based on consistent hash |
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