CN114356432A - Big data platform configuration system, method, device and storage medium - Google Patents

Big data platform configuration system, method, device and storage medium Download PDF

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Publication number
CN114356432A
CN114356432A CN202111276819.7A CN202111276819A CN114356432A CN 114356432 A CN114356432 A CN 114356432A CN 202111276819 A CN202111276819 A CN 202111276819A CN 114356432 A CN114356432 A CN 114356432A
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host
quick link
information
big data
data platform
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CN202111276819.7A
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黄培培
崔守佳
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Zhengzhou Yunhai Information Technology Co Ltd
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Zhengzhou Yunhai Information Technology Co Ltd
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Abstract

The application discloses a big data platform configuration system, a method, a device and a computer readable storage medium, comprising: the information acquisition module is used for acquiring host information of the host in the cluster from the big data platform; the address writing module is used for writing the host IP address in the host information into the corresponding pre-established initial quick link; and the information splicing module is used for splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the component in the corresponding host. According to the method and the device, the host information when the cluster and the component are installed during deployment is automatically acquired from the big data platform, the host IP address in the host information is written into the corresponding initial quick link according to the host information, and the host IP address in the initial quick link is configured to be spliced with the port, so that the complete and available quick link is obtained, the automatic configuration of the quick link is completed, and the configuration efficiency of the quick link is improved.

Description

Big data platform configuration system, method, device and storage medium
Technical Field
The present invention relates to the field of computer technologies, and in particular, to a system, a method, and an apparatus for configuring a big data platform, and a computer-readable storage medium.
Background
In recent years, with the rapid development of computers and information technology, the amount of data generated by various industrial application systems has increased greatly. The cloud sea Insight big data platform is developed under the background, before the current cloud sea Insight big data component clicks the quick link to enter the relevant page of the component, the corresponding relation between the quick link and the host needs to be manually configured in advance, the corresponding host name and the host IP address need to be configured in the quick link for access, or the local host file is configured for access, so that the user experience is reduced, the risk of input errors is possible, the later maintenance cost is improved, and the cloud sea Insight big data platform is quite inconvenient to deploy and has low efficiency.
For this reason, a large data platform configuration system with higher configuration efficiency is required.
Disclosure of Invention
In view of the above, the present invention provides a big data platform configuration system, method, apparatus and computer readable storage medium, which can improve configuration efficiency. The specific scheme is as follows:
a big data platform configuration system, comprising:
the information acquisition module is used for acquiring host information of the host in the cluster from the big data platform;
the address writing module is used for writing the host IP address in the host information into a corresponding pre-established initial quick link;
and the information splicing module is used for splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the corresponding component in the host.
Optionally, the method further includes:
the information checking module is used for judging whether the quick link can normally access the host, if so, adding a normal identifier for the quick link, and if not, adding an abnormal identifier for the quick link;
and the front-end rendering module is used for normally rendering the quick link according to the normal identifier and graying the quick link according to the abnormal identifier.
Optionally, the method further includes:
and the safety access module is used for judging whether the user information accessing the quick link logs in the cluster in the big data platform or not, allowing the quick link to be accessed if the user information has logged in, and jumping to a cluster login page of the cluster if the user information has not logged in.
Optionally, the security access module is further configured to, after the user information logs in the cluster, determine whether the user information has an authority to access the target quick link, allow access if the user information has the authority, and deny access if the user information does not have the authority.
The optional information obtaining module is further configured to: acquiring installation information of the host in the cluster from the big data platform;
further comprising:
and the link generation module is used for creating the initial quick link corresponding to the host and the component by utilizing the host name and the corresponding component information in the installation information.
Optionally, the address writing module is specifically configured to write the host IP address in the host information into the initial quick link according to that the host name in the host information matches the initial quick link with the same host name.
The invention also discloses a big data platform configuration method, which comprises the following steps:
acquiring host information of a host in a cluster from a big data platform;
writing the host IP address in the host information into a corresponding pre-established initial quick link;
and splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the corresponding component in the host.
Optionally, the method further includes:
acquiring installation information of the host in the cluster from the big data platform;
and creating the initial quick link corresponding to the host and the component by using the host name and the corresponding component information in the installation information.
The invention also discloses a big data platform configuration device, which comprises:
a memory for storing a computer program;
a processor for executing the computer program to implement the big data platform configuration method as described above.
The invention also discloses a computer readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the big data platform configuration method as described above.
In the invention, the big data platform configuration system comprises: the information acquisition module is used for acquiring host information of the host in the cluster from the big data platform; the address writing module is used for writing the host IP address in the host information into the corresponding pre-established initial quick link; and the information splicing module is used for splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the component in the corresponding host.
The method and the device automatically acquire the host information when the cluster and the component are installed during platform deployment from the big data platform, write the host IP address into the corresponding initial quick link according to the host information, and then configure the host IP address in the initial quick link to splice the host IP address with the port, thereby acquiring the complete and available quick link, accessing the component in the host corresponding to the host IP address, completing the automatic configuration of the quick link and improving the configuration efficiency of the quick link.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a big data platform configuration system according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of another big data platform configuration system according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of another big data platform configuration system according to an embodiment of the present invention;
fig. 4 is a schematic flow chart of a big data platform configuration method disclosed in the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses a big data platform configuration system, which is shown in figure 1 and comprises:
and the information acquisition module 11 is used for acquiring host information of the hosts in the cluster from the big data platform.
Specifically, when the big data platform is initially deployed, a cluster needs to be deployed first, each host is connected to the platform to form a cluster, and a component to be operated is installed on each host in the cluster, so that host information of each host in the cluster is stored in the big data platform output deployment process, and the information acquisition module 11 can acquire the host information of the host in the cluster from the big data platform.
The host information may include host related information such as a host name and a host IP address.
And an address writing module 12, configured to write the host IP address in the host information into the corresponding pre-created initial quick link.
Specifically, in order to facilitate a user to quickly access each component in the big data platform, a quick link is set, and the user can quickly jump to the corresponding component by clicking the quick link and use the function of the component. As the deployment environment of a large data platform changes, the IP address of the host in the quick link needs to be reconfigured or initially configured to ensure that the component in the correct host can be jumped to through the quick link without interruption.
Specifically, the host IP address in the new host information is written into the pre-created initial quick link that needs to be updated or initialized, so that the initial quick link has the latest host IP address, and a connection is established with the host in the following.
And the information splicing module 13 is configured to splice the host IP address and the port in the initial quick link to obtain a quick link capable of accessing the component in the corresponding host.
Specifically, after a new host IP address is acquired, the host IP address and the port in the initial quick link are spliced, namely the initial quick link is set, so that the host IP address can play a role, the port of the initial quick link can access the host through the host IP address, the quick link capable of accessing the component in the corresponding host is obtained, the component in the host can be accessed through the quick link, and the automatic configuration process of the quick link is realized.
Therefore, the embodiment of the invention automatically acquires the host information when the cluster and the component are installed when the platform is deployed from the big data platform, writes the host IP address into the corresponding initial quick link according to the host information, and configures the host IP address in the initial quick link to be spliced with the port, thereby obtaining the complete and available quick link, accessing the component in the host corresponding to the host IP address, completing the automatic configuration of the quick link and improving the configuration efficiency of the quick link.
The embodiment of the invention discloses a specific big data platform configuration system, and compared with the previous embodiment, the embodiment further explains and optimizes the technical scheme. Referring to fig. 2, specifically:
specifically, the information obtaining module 11 is further configured to: and acquiring the installation information of the host in the cluster from the big data platform.
Specifically, when the quick link is initially generated, the corresponding relationship between each link and the host and the component needs to be established, so that when the host IP address is subsequently automatically configured, the corresponding initial quick link can be found, and the corresponding relationship between the initial quick link and the host and the component is ensured to be correct.
Specifically, a link generation module 14 may be further included; wherein the content of the first and second substances,
and the link generating module 14 is used for creating an initial quick link corresponding to the host and the component by using the host name and the corresponding component information in the installation information.
Specifically, the initial quick link corresponding to each component can be correspondingly established through the host name and the corresponding component information in the installation information, and each initial quick link forms a difference by storing the host name and the corresponding component information and establishes a corresponding relationship between the host and the component.
Specifically, the address writing module 12 may be specifically configured to write the host IP address in the host information into the initial quick link according to that the host name in the host information matches the initial quick link with the same host name.
Specifically, when the host IP address is written, the host name included in the host information summary is used as pairing information, and the initial quick links including the same host name are matched, so that the corresponding initial quick link is found, and the host IP address is written into the corresponding initial quick link.
The embodiment of the present invention further discloses a big data platform configuration system, as shown in fig. 3, further comprising:
and the information checking module 15 is configured to determine whether the quick link can normally access the host, add a normal identifier to the quick link if the quick link can be accessed, and add an abnormal identifier to the quick link if the quick link cannot be accessed.
Specifically, after the configuration of the quick link is completed, the situation that the host cannot be accessed after the configuration of the quick link is completed due to failures such as configuration failure, host failure or communication line interruption and the like may still occur, and therefore, in order to improve user experience, user failure feedback is given to the user, after the quick link is configured, whether the quick link can normally access the host is judged by the information checking module 15, if the quick link can be accessed, a normal identifier can be added for the quick link to indicate that the corresponding host can be accessed through the quick link, all is normal, and if the host cannot be accessed through the quick link, an abnormal identifier can be added for the quick link to mark that the quick link cannot access the corresponding host.
And the front-end rendering module 16 is configured to normally render the quick link according to the normal identifier, and graying the quick link according to the abnormal identifier.
Specifically, the front-end rendering module 16 selects different rendering modes to render the quick link according to the identifier added by the information verification module 15, when the quick link is a normal identifier, the quick link is normally rendered, the color is normally filled in the button corresponding to the quick link, the link function is opened, the user is allowed to click, if the identifier of the quick link is an abnormal identifier, the quick link is grayed, the link function is closed, the user click is not supported, no operation feedback exists when the user clicks, the user can quickly and clearly determine the normal quick link according to the display color of the operation feedback and the quick link, the abnormal work of the quick link cannot be realized, and the user experience is improved.
Specifically, the method may further include: a secure access module 17; wherein the content of the first and second substances,
and the safety access module 17 is used for judging whether the user information accessing the quick link logs in the cluster in the big data platform, allowing the quick link to be accessed if the user information has logged in, and jumping to a cluster login page of the cluster if the user information has not logged in.
Specifically, in order to improve the security, it is necessary to ensure that a user can access the cluster through the quick link after logging in the cluster for verification, the user can carry corresponding user information even if the user does not log in the quick link when accessing the quick link, whether the user logs in the cluster can be judged through the user information, if the user information shows that the user logs in the cluster, the user is allowed to continue accessing through the quick link, if the user information shows that the user does not log in the cluster, the user is prohibited to continue accessing through the quick link, and the user can jump to a cluster login interface for logging in the cluster, so that the user who can access through the quick link can be ensured to be registered in the cluster, unregistered users are filtered, and the security is improved.
Further, the security access module 17 may be further configured to, after the user information logs in the cluster, determine whether the user information has the right to access the target quick link, allow access if the user information has the right to access the target quick link, and deny access if the user information does not have the right to access the target quick link.
Specifically, after the user logs in, an access right can be further set for each user, only the user with the access right can access the user, the user information of the user can judge the user right, the user is allowed to log in when the right is met, and the user is denied access when the right is not met.
Correspondingly, the embodiment of the invention also discloses a big data platform configuration method, which is shown in fig. 4 and comprises the following steps:
s11: acquiring host information of a host in a cluster from a big data platform;
s12: and writing the IP address of the host in the host information into the corresponding pre-created initial quick link.
Specifically, the host IP address in the host information may be written into the initial quick link according to the initial quick link in which the host name in the host information matches the host name.
S13: and splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the component in the corresponding host.
Therefore, the embodiment of the invention automatically acquires the host information when the cluster and the component are installed when the platform is deployed from the big data platform, writes the host IP address into the corresponding initial quick link according to the host information, and configures the host IP address in the initial quick link to be spliced with the port, thereby obtaining the complete and available quick link, accessing the component in the host corresponding to the host IP address, completing the automatic configuration of the quick link and improving the configuration efficiency of the quick link.
Specifically, S14 and S15 may be further included; wherein the content of the first and second substances,
s14: acquiring installation information of a host in a cluster from a big data platform;
s15: an initial quick link corresponding to the host and the component is created using the host name and the corresponding component information in the installation information.
Specifically, S16 to S18 may be further included; wherein the content of the first and second substances,
s16: judging whether the quick link can normally access the host, if so, adding a normal identifier for the quick link, and if not, adding an abnormal identifier for the quick link;
s17: and rendering the quick link normally according to the normal identifier, and graying the quick link according to the abnormal identifier.
S18: and judging whether the user information accessing the quick link logs in a cluster in the big data platform, if so, allowing the quick link to be accessed, and if not, jumping to a cluster login page of the cluster.
Specifically, after the user information logs in the cluster, whether the user information has the authority of accessing the target quick link or not is judged, if yes, the access is allowed, and if not, the access is denied.
In addition, the embodiment of the invention also discloses a big data platform configuration device, which comprises:
a memory for storing a computer program;
a processor for executing a computer program to implement the big data platform configuration method as described above.
In addition, the embodiment of the invention also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the configuration method of the big data platform is realized.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The technical content provided by the present invention is described in detail above, and the principle and the implementation of the present invention are explained in this document by applying specific examples, and the above description of the examples is only used to help understanding the method of the present invention and the core idea thereof; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.

Claims (10)

1. A big data platform configuration system, comprising:
the information acquisition module is used for acquiring host information of the host in the cluster from the big data platform;
the address writing module is used for writing the host IP address in the host information into a corresponding pre-established initial quick link;
and the information splicing module is used for splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the corresponding component in the host.
2. The big data platform configuration system according to claim 1, further comprising:
the information checking module is used for judging whether the quick link can normally access the host, if so, adding a normal identifier for the quick link, and if not, adding an abnormal identifier for the quick link;
and the front-end rendering module is used for normally rendering the quick link according to the normal identifier and graying the quick link according to the abnormal identifier.
3. The big data platform configuration system according to claim 1, further comprising:
and the safety access module is used for judging whether the user information accessing the quick link logs in the cluster in the big data platform or not, allowing the quick link to be accessed if the user information has logged in, and jumping to a cluster login page of the cluster if the user information has not logged in.
4. The big data platform configuration system according to claim 3, wherein the security access module is further configured to determine whether the user information has an authority to access the target quick link after the user information logs in the cluster, and allow access if the user information has the authority, and deny access if the user information does not have the authority.
5. The big data platform configuration system according to any of claims 1 to 4, wherein the information obtaining module is further configured to: acquiring installation information of the host in the cluster from the big data platform;
further comprising:
and the link generation module is used for creating the initial quick link corresponding to the host and the component by utilizing the host name and the corresponding component information in the installation information.
6. The big data platform configuration system according to claim 5, wherein the address writing module is specifically configured to write the host IP address in the host information into the initial fast link according to matching of the host name in the host information to the initial fast link with the same host name.
7. A big data platform configuration method is characterized by comprising the following steps:
acquiring host information of a host in a cluster from a big data platform;
writing the host IP address in the host information into a corresponding pre-established initial quick link;
and splicing the IP address and the port of the host in the initial quick link to obtain the quick link capable of accessing the corresponding component in the host.
8. The big data platform configuration method according to claim 7, further comprising:
acquiring installation information of the host in the cluster from the big data platform;
and creating the initial quick link corresponding to the host and the component by using the host name and the corresponding component information in the installation information.
9. A big data platform configuration apparatus, comprising:
a memory for storing a computer program;
a processor for executing the computer program to implement the big data platform configuration method of claim 7 or 8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a computer program which, when being executed by a processor, implements the big data platform configuration method according to claim 7 or 8.
CN202111276819.7A 2021-10-29 2021-10-29 Big data platform configuration system, method, device and storage medium Pending CN114356432A (en)

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Citations (6)

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Publication number Priority date Publication date Assignee Title
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CN106383771A (en) * 2016-09-29 2017-02-08 郑州云海信息技术有限公司 Host cluster monitoring method and device
WO2020259268A1 (en) * 2019-06-28 2020-12-30 华为技术有限公司 Information sharing method, platform, and computing device
CN112463873A (en) * 2020-11-12 2021-03-09 苏州浪潮智能科技有限公司 Graph database visual interaction method, graph database visual interaction device, graph database visual interaction equipment and readable medium
CN112506969A (en) * 2020-12-10 2021-03-16 北京浪潮数据技术有限公司 BMC address query method, system, equipment and readable storage medium
CN112733102A (en) * 2021-01-08 2021-04-30 苏州浪潮智能科技有限公司 Ambari-based quick link secure access method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105897946A (en) * 2016-04-08 2016-08-24 北京搜狐新媒体信息技术有限公司 Obtaining method and system of access address
CN106383771A (en) * 2016-09-29 2017-02-08 郑州云海信息技术有限公司 Host cluster monitoring method and device
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