CN105468740B - A kind of storage, analysis method and the device of game player's data - Google Patents
A kind of storage, analysis method and the device of game player's data Download PDFInfo
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- CN105468740B CN105468740B CN201510827157.6A CN201510827157A CN105468740B CN 105468740 B CN105468740 B CN 105468740B CN 201510827157 A CN201510827157 A CN 201510827157A CN 105468740 B CN105468740 B CN 105468740B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
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- G06F16/10—File systems; File servers
- G06F16/18—File system types
- G06F16/182—Distributed file systems
Abstract
The invention discloses storage, analysis method and the device of a kind of game player's data, 1) analysis method in the form of the first table and the second table the following steps are included:, store player's data of game role group, wherein, in first table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein, column cluster name is a kind of game behavior of player, the concrete behavior under the entitled a kind of game behavior of sub- column；Storage participates in role and the metric of concrete behavior in the cell of first table；In second table, the combination on row entitled date and role, column name includes column cluster name and sub- column name；The metric that corresponding role participates in concrete behavior on the corresponding date is stored in the cell of second table；2) screening conditions, are extracted according to analysis condition, qualified role constellation is filtered out from the first table；3), according to analysis condition, the measurement value information of the behavior of role constellation is obtained from the second table.Method and device of the invention can get efficient screening analysis efficiency.
Description
[technical field]
The present invention relates to storage, analysis method and the devices of magnanimity player's data of game role constellation in game.
[background technique]
In game, such as online game, hand trip etc., it is related to a large amount of game role, the corresponding a part of each game role
Player's data such as participate in the number of copy, log duration, active degree, consumption etc..Correspondingly, it can be produced in game
Player's data of raw magnanimity.Existing player data are stored using traditional relevant database.In general, trip
Play data need to save daily player's data, therefore when using relevant database storage, generally using day as the major key of table,
Then it is stored in table using the various actions of the id of game role and role as others column, as shown in table 1.
Table 1
| Date | Role id | Behavior 1 | Behavior 2 | … | Behavior n | Behavior n+1 |
| 20150725 | id1 | V1 | V2 | … | Vn | Vn+1 |
| 20150725 | id2 | P1 | P2 | … | Pn | Pn+1 |
In table, V1~Vn+1 respectively indicates the metric that role id1 participates in behavior different in n+1, P1~Pn+1 difference
Indicate that role id2 participates in the metric of behavior different in n+1.In the case of above table storage, role analysis is being carried out
When, query statement obtains the id of qualified role, then meet item with acquisition by screening to the column of game behavior
The role id of part inquires their other behavioral datas as screening conditions.
In the above process, there is a problem of that analysis efficiency is excessively poor.The reason is that general game have it is several hundred up to ten million,
Even several ten million game roles will find out qualified role id from so many magnanimity record, search difficult, effect
Rate is lower.Further, after filtering out qualified role id, this part role constellation quantity may be also not small,
Further remove to search their other behavioral datas using these role id as condition, efficiency is also very low.Therefore, traditional to deposit
The efficiency of storage and analysis method is excessively poor.
[summary of the invention]
The technical problems to be solved by the present invention are: making up above-mentioned the deficiencies in the prior art, a kind of game player's number is proposed
According to storage, analysis method and device, can get efficient screening analysis efficiency.
Technical problem of the invention is resolved by technical solution below:
A kind of analysis method of game player's data, comprising the following steps: 1), stored in the form of the first table and the second table
Player's data of game role group, wherein in the first table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein,
Column cluster name is a kind of game behavior of player, the concrete behavior under the entitled a kind of game behavior of sub- column；In the cell of first table
Storage participates in role and the metric of concrete behavior；In second table, the combination on row entitled date and role, column name includes described
Column cluster name and the sub- column name；The measurement that corresponding role participates in concrete behavior on the corresponding date is stored in the cell of second table
Value；2) screening conditions, are extracted according to analysis condition, qualified role constellation is filtered out from the first table；3), according to analysis
Condition obtains the measurement value information of the behavior of the role constellation from the second table.
A kind of storage method of game player's data stores the object for appreciation of game role group in the form of the first table and the second table
Family's data, wherein in the first table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein, column cluster name is the one of player
Class game behavior, the concrete behavior under the entitled a kind of game behavior of sub- column；It is stored in the cell of first table and participates in tool in one day
The role of body behavior and metric；In second table, the combination on row entitled date and role, column name includes the column cluster name and institute
State sub- column name；The metric that respective corners form and aspect answer the date to participate in concrete behavior is stored in the cell of second table.
A kind of analytical equipment of game player's data, including memory module, screening module and analysis module；The storage mould
Block in the form of the first table and the second table for storing player's data of game role group, wherein in the first table, row entitled day
Phase, column name include column cluster name and sub- column name；Wherein, column cluster name is a kind of game behavior of player, the entitled a kind of game row of sub- column
Concrete behavior under；Role and the metric that concrete behavior is participated in one day are stored in the cell of first table；Second table
In, the combination on row entitled date and role, column name includes the column cluster name and the sub- column name；It is stored in the cell of second table
Respective corners form and aspect answer the date to participate in the metric of concrete behavior；The screening module is used to extract screening item according to analysis condition
Part, and qualified role constellation is filtered out from the first table；The analysis module is used for according to analysis condition, from the second table
The measurement value information of the middle behavior for obtaining the role constellation.
The beneficial effect of the present invention compared with the prior art is:
Storage, analysis method and the device of game player's data of the invention, using different table structures, by magnanimity
Data are stored as the form of the first table and the second table simultaneously.In this way, by the first table, the design of column cluster and sub- column name, behavior
Classification as column cluster, concrete behavior name is referred to as sub- column name, in cell simultaneously save one day among some particular row
For all roles and the metric of the behavior, to be conducive to the role for quickly filtering out the condition of satisfaction.By the second table, with
Role id and date as line unit, are filtered screening based on line unit, can quickly navigate to the row unit where role constellation, just
In other behavioural characteristics of quick obtaining game role, efficient population analysis is carried out.It is acted on by above-mentioned both sides, quickly
Screening, quick positioning analysis, to improve analysis efficiency when magnanimity player's data are analyzed.
[specific embodiment]
Insight of the invention is that by player's data of magnanimity in column storage game, using double table structures, Ke Yi when storage
Role constellation screening and role constellation two stages of analysis all reach higher screening efficiency.The table of first table (mass screening table)
Structure design, is conducive to quickly filter out qualified role constellation；The table structure of second table (population analysis table), has
Conducive to the metric for the specified concrete behavior for quickly navigating to role.Compared to previous, so that analysis efficiency is higher.
Game player's data analysing method of present embodiment is the sea of the game role group in a kind of pair of game
The method that amount player's data are analyzed first stores magnanimity player data according to the form of the first table and the second table, storage
At two kinds of forms, it is respectively used to role constellation screening and role constellation behavioural analysis.It is referred to as group's sieve separately below
Select table (the first table) and population analysis table (the second table).Present embodiment selects HBase tables of data as storage system.
Each column of HBase tables of data are made of column cluster name and sub- column name, i.e. " column cluster name: column name ".It can be with below one of column cluster
Corresponding multiple sub- column names, a sub- column name can only belong to a column cluster.The data of the same column cluster are stored in same file
In.When column cluster has multiple, when the data volume being related to is bigger, multiple files can be divided into, are stored in multiple files respectively, and
Multiple files can be distributed on a different server.
In mass screening table (the first table), strong using the date as row, i.e., daily data can be corresponded in the row in table,
Player's data that multiple roles can be stored by the form of independent a line, can also be stored respectively the object for appreciation of multiple roles by the form of multirow
Family's data.Every a kind of game behavior in game corresponds to a column cluster.Possible concrete behavior (the attribute of every one kind game behavior
Value) it is used as a sub- column name, and the metric for the role id and its behavior property for taking part in the concrete behavior is then all stored in this
In cell under column, the role for being not engaged in the concrete behavior is just not preserved in the cell under the column.For example, such as following table
Shown in 2:
Table 2
In upper table, for participating in this game behavior of copy, the column cluster of one entitled FB of setting is corresponding to it.In one day,
The copy that player participates in may have multiple, then sub- column name includes multiple behaviors for participating in specific different copies, and it is secondary such as to participate in first
This behavior FB1 participates in the behavior FB2 ... of triplicate, participates in the behavior FBN of N copy, then has FB1 under column cluster FB,
N number of sub- column name such as FB2 ..., FBN.Metric is then the number that role participates in specific copy behavior.If role id1 is 2015
There is the behavior (FB1) for participating in the first authentic copy on July 25, in, and participating in number is 2 times, then when storing, in correspondence on July 25th, 2015
Row in, be stored as a record in the cell under the FB1 column of column cluster FB, such as id1:2 indicates to have that participate in first secondary
Current row takes part in twice in order that role id1.Similarly, when column cluster name is article consumer behavior item, correspondingly, sub- column
Name includes the behavior of the specific different articles of multiple purchases, and metric is the number that role buys specific article.
Upper table only lists two class game behaviors --- copy behavior and article consumer behavior are participated in, it is merely illustrative herein
Property, it is not limited to this, may also include the game behavior of other classifications.Both behaviors respectively correspond column cluster FB and column cluster in table 2
Item, what column cluster FB included shows FB1, FB2 etc., and what column cluster Item included shows Item1, Item2 etc..Under column in column cluster FB
Cell save the number that role id and role participate in respective copies, on the same day in record number in a cell have it is more
Item, the corresponding role id of each.Such as 20150725 rows, the cell under FB1 is arranged contains two records, respectively role
Id1 and role id2 participates in the number of first authentic copy behavior.The cell under column in column cluster Item saves role id and role
The number of the respective articles of purchase.
The table for designing above structure is screened for subsequent population, can quickly be navigated to where qualified behavior
Column, so that qualified role id can be obtained by the data for directly reading cell.The table of the structure navigates to tool
After column where body behavior, the metric for the role that the concrete behavior is demonstrated by cell is judged, if meet
Filter condition.For example, it is desired to be navigated to when filtering out role constellation of the number for participating in first authentic copy behavior FB1 greater than 10 times
After this column of FB1, [the role id: metric] in cell is screened, selects this part role id of metric > 10
It is the group to be screened.And the conventional store scheme being exemplified by Table 1, then there are various disadvantages: on the one hand, because of table 1
Traditional scheme in data be by row store, even if being screened just for some concrete behavior, it is also desirable to read out
All behaviors of role id, can just screen concrete behavior, can not quickly navigate to the column where concrete behavior.Another party
Face needs to carry out judging whether to meet metric condition to all role id.This is because not can determine that whether some id has
Show some concrete behavior.And navigated in present embodiment after column, so that it may determine, because only that cell memory
Those of storage role just has the performance of the concrete behavior, other are not the role id in cell without the concrete behavior table
It is existing, do not need additional judgement yet.Compared to the process of conventional store option screening, the mass screening table of present embodiment
High frequency zone is carried out based on column name and cell storage content, filter efficiency is higher.
Mass screening table is that will not construct all possibility in building table using the effect that HBase tables of data has
The column that will appear, but due to the scalability that HBase tables of data provides, a new column can be created now listing, therefore
The case where being not present without having to worry about column name.
Preferably, using HBase tables of data by the characteristic of column storage, player's data of inhomogeneous behavior be can be reserved for not
In same file.HBase tables of data utilizes the advantage of distributed file system, can also be further such that inhomogeneous column data pair
The different files answered are distributed to different servers and are stored.Using this storage characteristics, when the condition of mass screening have it is more
It is a and when being directed to inhomogeneous game behavior, can it is further preferred that the screening task for behavior of all categories is carried out it is independent,
For example, FB behavior and the screening task of Item behavior is independent, screening task is distributed to according to the storage position of file
Each different server of cluster, makes full use of the computing capability of cluster.It is qualified that each screening task obtains a batch
Role id finally merges the role id that Servers-all returns in client, obtains the role id for meeting final condition.
Using the advantage of distributed type assemblies, calculating task is distributed to each server of cluster, can further improve screening and filtering effect
Rate.
It is strong using date and role id as row in the table structure of population analysis table (the second table).For column cluster and son
Column name, it is similar with mass screening table, concrete behavior is stored in column name, while the class behavior classification where concrete behavior
The metric of the role under each concrete behavior is only saved as column cluster, in cell.For example, as shown in table 3 below:
Table 3
In table 3, row is strong to be made of date and role id respectively, is also listed in table and is participated in the two kinds of trips of copy and article consumption
Each column in play behavior, column cluster and column cluster are identical as the meaning in aforementioned first table (mass screening table, table 2).In column cluster FB
Column under cell only save the number that role participates in respective copies on the corresponding date, and one day record number only has one
Item, the cell under column in column cluster Item only save role in the quantity of purchase of corresponding date respective articles, and same one day
Record number there was only one.
The table for designing above structure is analyzed for subsequent population.When carrying out population analysis, specifying what needs were analyzed
In the case where behavior list and its concrete behavior attribute, measurement of the role id under the concrete behavior attribute can be rapidly obtained
Value.
After constructing above-mentioned two table, according to various analysis scenes when analysis, first filtered out in the first table eligible
Role, the measurement value information of the behavior of corresponding role constellation is then obtained in the second table, to extract analysis information.Such as
It is lower to be illustrated respectively according to different analysis scenes.
Analysis scene one: need to analyze the number for participating in copy FB1 on July 25th, 2015 greater than 2 and participate in time of copy FB2
Number is greater than 2 this crowd of players, and the number summation of article Item1 is bought during on July 27,26 days to 2015 July in 2015.
A1. mass screening stage:
It is strong for condition filter row with 20150725, the record that the date is on July 25th, 2015 is filtered out, then with column cluster name
FB and column name FB1 is that filter condition navigates to the corresponding column of participation first authentic copy behavior FB1, takes out the role for participating in the first authentic copy
Then id and the number of participation filter out and participate in role's id set set1 that number is greater than 2.
Then it is navigated to using column cluster name FB and column name FB2 as filter condition and participates in the corresponding column of triplicate behavior FB2, taken
The role id of triplicate and the number of participation are participated in out, are then filtered out and are participated in role's id set set2 that number is greater than 2.
It is sought common ground by set set1 and set set2, obtains qualified role constellation set, arrive this mass screening rank
Section terminates.
A2. population analysis stage:
The strong day part of filtering trip first is 20150726 to 20150727, and the part role id is located at mass screening
The row among set set obtained after stage.Then article Item1 is navigated to by column cluster name Item and column name Item1
Corresponding column, the content of retrieval unit lattice, the number of as each role id purchase article Item1.It sums to all contents,
The as final objective result to be analyzed.
Analysis scene two: the sum of number for participating in the first authentic copy and triplicate on July 25th, 2015 need to be analyzed and be greater than 2
Other behavioural characteristics of this crowd of players.In the analysis scene, relative to analysis scene one, the condition of mass screening is increasingly complex,
It needs to be filtered according to the result after each behavior combination.
B1: role constellation screening stage:
It is strong for condition filter row with 20150725, the record that the date is on July 25th, 2015 is filtered out, then with column cluster name
FB and column name FB1 is that filter condition navigates to the corresponding column of participation first authentic copy behavior, takes out the role id for participating in the first authentic copy
And the number participated in, save as a mapping map1.
Then it is navigated to using column cluster name FB and column name FB2 as filter condition and participates in the corresponding column of triplicate behavior, taken out
The role id of triplicate and the number of participation are participated in, another mapping map2 is saved as.
Map1 will be mapped and mapping map2 is combined, after obtaining the number that role participates in two copies, then filtered out secondary
The set set of role id of the sum of the number greater than 2.Terminate to this mass screening stage.
B2: the population analysis stage is similar with the population analysis stage in analysis scene one, not repeated description herein.
Analysis scene three: the number for participating in the first authentic copy on July 25th, 2015 need to be analyzed greater than 2, and buy article Item1
Number greater than 0 this crowd of players other behavioural characteristics.The analysis scene contains different classes of for role's screening conditions
The case where behavior.
C1: role constellation screening stage:
Two screening tasks are constructed, navigate to the participation first authentic copy using column cluster name FB and column name FB1 as filter condition respectively
The corresponding column of behavior FB1, and the column where navigating to article Item1 as filter condition using column cluster name Item and column name Item1.
Two screening tasks are sent to the corresponding server of HBase tables of data simultaneously, while carrying out inquiry screening, respectively being filled into
Role id set returns to client, then carries out summarizing merging, takes intersection, is finally met the role id set of condition.
C2: the population analysis stage is similar with the population analysis stage in analysis scene one, not repeated description herein.
To sum up, the analysis method in present embodiment is stored according to two kinds of forms, is respectively used to group
Screening and population analysis can complete analysis task for different analysis scenes.When analysis, qualified angle can be quickly filtered out
Colo(u)r group body, while the metric of the specified concrete behavior of role can be quickly navigated to, effectively improve the efficiency of analytic process.
A kind of analytical equipment of game player's data, including memory module, screening mould are also provided in present embodiment
Block and analysis module.
Wherein, player data of the memory module for the storage game role group in the form of the first table and the second table,
In, in the first table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein, column cluster name is a kind of game row of player
For concrete behavior under the entitled a kind of game behavior of sub- column；It is stored in the cell of first table and participates in concrete behavior in one day
Role and metric；In second table, the combination on row entitled date and role, column name includes column cluster name and sub- column name；Second table
Cell in store the metric that corresponding role participates in concrete behavior.
Screening module is used to extract screening conditions according to analysis condition, and qualified role is filtered out from the first table
Group.
Analysis module is used to obtain the measurement value information of the behavior of role constellation from the second table according to analysis condition.
The analytical equipment of present embodiment stores magnanimity player data according to two kinds of forms, respectively
For mass screening and population analysis, when analysis, qualified role constellation can be quickly filtered out, while can quickly navigate to
The metric of the specified concrete behavior of role, effectively improves the efficiency of analytic process.
The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be said that
Specific implementation of the invention is only limited to these instructions.For those of ordinary skill in the art to which the present invention belongs, exist
Several alternative or obvious variations are made under the premise of not departing from present inventive concept, and performance or use is identical, all should be considered as
It belongs to the scope of protection of the present invention.
Claims (10)
1. a kind of analysis method of game player's data, it is characterised in that: the following steps are included:
1) player's data of game role group, are stored in the form of the first table and the second table, wherein in the first table, row is entitled
Date, column name include column cluster name and sub- column name；Wherein, column cluster name is a kind of game behavior of player, the entitled a kind of game of sub- column
Concrete behavior under behavior；Storage participates in role and the metric of concrete behavior in the cell of first table；In second table, row
The combination on entitled date and role, column name include the column cluster name and the sub- column name；Phase is stored in the cell of second table
Role is answered to participate in the metric of concrete behavior on the corresponding date；
2) screening conditions, are extracted according to analysis condition, qualified role constellation is filtered out from the first table；Wherein, described
Analysis condition are as follows: the metric of concrete behavior meets the metric of other concrete behaviors of the role constellation of setting condition；
3), according to analysis condition, the measurement value information of the concrete behavior of the role constellation is obtained from the second table.
2. the analysis method of game player's data according to claim 1, it is characterised in that: different in the step 1)
Player's data of column cluster name are stored in different files.
3. the analysis method of game player's data according to claim 2, it is characterised in that: the different file difference
Storage is on a different server.
4. the analysis method of game player's data according to claim 3, it is characterised in that: in the step 2), screening
Condition includes multiple, and is related to inhomogeneous game behavior.
5. the analysis method of game player's data according to claim 4, it is characterised in that: screening in the step 2)
When, according to the storage location of file, will be distributed on corresponding server together for the screening task of inhomogeneous game behavior
Shi Jinhang screening.
6. the analysis method of game player's data according to claim 1, it is characterised in that: in the step 1), first
Table and/or the second table are HBase tables of data.
7. the analysis method of game player's data according to claim 1, it is characterised in that: screening in the step 2)
When, entitled filter condition is arranged with column cluster name and the son in first table and is navigated in the corresponding column of concrete behavior, acquiring unit
Role and measurement value information in lattice, then filter out the qualified role of metric according to screening conditions.
8. the analysis method of game player's data according to claim 1, it is characterised in that: attainment degree in the step 3)
When magnitude information, the first filtering trip strong date meets analysis condition in the second table, and be located in the step 2) must by role
Then the row among role constellation arrived navigates to the corresponding column of concrete behavior to be analyzed by column cluster name and column name, obtain
The content of cell need to as analyze the measurement value information of the behavior of acquisition.
9. a kind of storage method of game player's data, it is characterised in that: store game angle in the form of the first table and the second table
Player's data of colo(u)r group body, wherein in the first table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein, column cluster name
Concrete behavior for a kind of game behavior of player, under the entitled a kind of game behavior of sub- column；One is stored in the cell of first table
Role and the metric of concrete behavior are participated in it；In second table, the combination on row entitled date and role, column name includes described
Column cluster name and the sub- column name；The measurement that respective corners form and aspect answer the date to participate in concrete behavior is stored in the cell of second table
Value.
10. a kind of analytical equipment of game player's data, it is characterised in that: including memory module, screening module and analysis module；
The memory module in the form of the first table and the second table for storing player's data of game role group, wherein the
In one table, on the row entitled date, column name includes column cluster name and sub- column name；Wherein, column cluster name is a kind of game behavior of player, sub- column
Concrete behavior under entitled one kind game behavior；Stored in the cell of first table in one day participate in concrete behavior role and
Metric；In second table, the combination on row entitled date and role, column name includes the column cluster name and the sub- column name；Second table
Cell in store respective corners form and aspect answer the date participate in concrete behavior metric；
The screening module is used to extract screening conditions according to analysis condition, and qualified role is filtered out from the first table
Group；Wherein, the analysis condition are as follows: the metric of concrete behavior meets other concrete behaviors of the role constellation of setting condition
Metric；
The analysis module is used to obtain the metric of the concrete behavior of the role constellation from the second table according to analysis condition
Information.
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| CN105869057B (en) * | 2016-04-07 | 2020-10-09 | 腾讯科技（深圳）有限公司 | Comment storage device, comment reading method and device, and comment writing method and device |
| CN107038179B (en) * | 2016-08-23 | 2020-04-10 | 平安科技（深圳）有限公司 | Information item storage method and system |
| CN106599550A (en) * | 2016-11-25 | 2017-04-26 | 北京像素软件科技股份有限公司 | Data processing method and device for managing game behavior |
| CN109364473A (en) * | 2018-09-29 | 2019-02-22 | 杭州电魂网络科技股份有限公司 | Analysis method and system are reported in game |
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| CN1808431A (en) * | 2005-12-31 | 2006-07-26 | 中国工商银行股份有限公司 | Multi-table connecting method |
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