Solr cross-version configuration comparison and data synchronization method

Abstract

The invention discloses a Solr cross-version configuration comparison and data synchronization method, which comprises the following steps of: accurately identifying differences among different versions of Solr configuration files through an automatic configuration comparison tool, and generating a difference report; the intelligent configuration generator automatically adjusts old version configuration according to the difference report to adapt to the new version; an efficient data synchronization strategy is combined with data capture, conversion and real-time stream processing to ensure real-time synchronization and accuracy of data among different versions; according to the Solr version upgrading and data migration method and system, automation of Solr version upgrading and data migration is achieved, through automatic configuration comparison, intelligent configuration adjustment and efficient data synchronization, the efficiency of Solr version upgrading and data migration is remarkably improved, the operation cost is reduced, the real-time performance and consistency of data are ensured, and therefore the user experience and the reliability of the system are improved.

Description

Technical Field

[0001] The present invention relates to the field of computer software technology, and in particular to a Solr cross-version configuration comparison and data synchronization method. Background Art

[0002] In the field of Solr technology, conventional data migration and version upgrade processes mainly rely on two methods: periodic batch import and real-time incremental synchronization. However, these methods have obvious limitations. Batch import may result in insufficient real-time performance of data, while real-time incremental synchronization is limited by its complexity and high cost. On the technical level, these limitations are mainly due to the lack of automated tools to identify and adjust configuration differences between the old and new versions, as well as the lack of an efficient and reliable data synchronization mechanism. Summary of the invention

[0003] The purpose of the present invention is to solve the configuration differences and data synchronization problems during Solr version upgrades and data migration. The defect of the prior art is that it cannot efficiently and accurately handle the configuration differences between Solr versions and the requirements for real-time data synchronization. The method and technology of the present application is essentially to use automated configuration comparison and intelligent data synchronization technology to solve the configuration differences and real-time data synchronization problems between different versions of Solr. Compared with the prior art, the unique technical features of the present application include:

[0004] Automated configuration comparison tool: used to identify configuration differences between new and old versions;

[0005] Intelligent configuration generator: automatically generates configurations suitable for different versions based on comparison results;

[0006] Efficient data synchronization strategy: ensure efficient and accurate synchronization of data between different versions.

[0007] The present invention achieves the above-mentioned purpose through the following technical solutions:

[0008] A method for comparing Solr cross-version configurations and synchronizing data includes the following steps:

[0009] Step 1: Initialize the configuration comparison tool: Start the configuration comparison tool and load the configuration files of the old and new versions of Solr.

[0010] Step 2: Use tools to analyze configuration file differences: Use configuration comparison tools to analyze the configuration and generate a report on the differences between the new and old configuration files.

[0011] Step 3, intelligent configuration generation: Based on the difference report, the configuration generator automatically generates a configuration file in the new version format;

[0012] Step 4: Real-time data synchronization: By calling the Solr API, the data in the old Solr instance is synchronized to the new Solr in real time;

[0013] Step 5: Ensure data consistency: Regularly compare the new and old Solr data to ensure that the data on both sides is consistent;

[0014] Step 6, monitoring and resuming: During the synchronization process, if the program terminates unexpectedly, the resuming mechanism can be used to quickly locate the last synchronization location.

[0015] A further solution is that in step 1, the configuration files include sample configuration files of the new and old Solr and a user-defined configuration file of the old Solr.

[0016] A further solution is that in step 2, the configuration file difference report includes the changes in the field definitions of the new and old Solr and the newly added and discarded fields, as well as the user-defined configuration of the old Solr.

[0017] A further solution is that in step 3, generating a configuration file means converting the old version field definition into the new version according to the difference report, removing the obsolete old fields in the new version, and adding the old version user-defined configuration to the new version file.

[0018] A further solution is that in step 3, the configuration generator analyzes each setting of the old configuration file. For settings that are still valid in the new version, the tool converts them into a new format; for settings that have been deprecated or replaced by the new version, the tool provides corresponding migration suggestions or automatically maps them to new configuration items.

[0019] A further solution is that in step 4, real-time synchronization refers to defining Solr's query and write APIs, and obtaining the data of the old Solr in batches from old to new according to the _version_ field feature of Solr, and writing it into the new Solr.

[0020] A further solution is that in step 4, the real-time data synchronization utilizes the _version_ field feature of Solr, which records the latest version information of the Solr document and increases over time; after the data is synchronized to the latest data of the old Solr, the program becomes a listening program, and periodically detects the _version_ of the old Solr to determine whether there are new changes that need to be synchronized. Once a new version number is detected, these changes will be captured in real time and synchronized to the new Solr instance.

[0021] A further solution is that in step 5, data consistency assurance refers to regularly executing a data difference detection tool to query the current data differences between the new and old Solr data, and perform corresponding addition, deletion, and modification operations on the new Solr data to ensure that the data of both parties are consistent.

[0022] A further solution is that in step 6, the resume mechanism refers to saving the latest position of each synchronization during synchronization, ensuring that even if the program is interrupted, synchronization can be continued from the previously saved position next time.

[0023] A further solution is that in step 6, the data synchronization program of the resume mechanism will update the synchronization progress in real time and record the latest synchronized _version_. Even if the program is terminated unexpectedly during the synchronization process, the recorded _version_ can be used to quickly locate the last synchronized position and continue synchronization from that point.

[0024] The beneficial effects of the present invention are:

[0025] The invention discloses a method for comparing and synchronizing Solr configurations across versions, which uses an automated configuration comparison tool to accurately identify differences between Solr configuration files of different versions and generate a difference report; an intelligent configuration generator automatically adjusts the configuration of the old version to adapt to the new version according to the difference report; an efficient data synchronization strategy combines data capture, conversion and real-time stream processing to ensure real-time synchronization and accuracy of data between different versions; and realizes automation of Solr version upgrades and data migration. The invention significantly improves the efficiency of Solr version upgrades and data migration, reduces operating costs, and ensures the real-time and consistency of data through automated configuration comparison, intelligent configuration adjustment and efficient data synchronization, thereby improving user experience and system reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0027] Figure 1 The figure is a flow chart of the implementation of Solr data migration of the present invention. DETAILED DESCRIPTION

[0028] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described in detail below. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other implementation methods obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0029] In any embodiment, if Figure 1As shown, a method for Solr cross-version configuration comparison and data synchronization of the present invention specifically includes the following steps:

[0030] (1) Initialization of the configuration comparison tool: At this stage, the tool is designed to read the new and old versions of Solr configuration files respectively, including but not limited to schema.xml and Solrconfig.xml. These files contain the core configuration information of the Solr instance, such as field definitions, indexing rules, and query configurations. During the initialization process, the tool will parse the structure of these configuration files, including XML elements, attributes, and nested relationships. The purpose of this step is to create a detailed configuration file snapshot for subsequent difference analysis to ensure the accuracy and comprehensiveness of the comparison. This process involves in-depth analysis of XML files using XML parsing technology to ensure that every detail in the configuration file can be accurately captured.

[0031] (2) Use tools to analyze configuration file differences: The core task of this step is to identify and compare the differences between the new and old versions of the configuration files. The tool will analyze the configuration structure of the two versions, including the differences between the new and old configurations and the manually modified parts of the old configurations. Difference analysis not only includes direct text comparison, but also involves structural comparison to ensure that the intention of the configuration change is correctly understood and presented. For example, the differences are identified by comparing the node type and name attributes of the new and old versions of the configuration files. If the node type and name are consistent, the type attribute is further compared; if the type attributes are the same, the node is considered unchanged. If the type attributes are different, the node type has changed. If the new version lacks a node from the old version, the node is considered to have been deprecated. The tool will mark these nodes and provide possible alternatives or necessary migration suggestions to help users understand the impact of the change and take appropriate actions.

[0032] (3) Intelligent configuration generation: The configuration generator analyzes each setting in the old configuration file. For settings that are still valid in the new version, the tool converts them into a new format. For settings that have been deprecated or replaced in the new version, the tool provides corresponding migration suggestions or automatically maps them to new configuration items. The tool also pays special attention to the personalized configuration made by users in the old version, that is, the manual modifications made to the old configuration relative to the old sample configuration, and strives to reproduce these customized settings in the new version to reduce the configuration work that users need to re-perform after upgrading.

[0033] (4) Real-time data synchronization: This step uses the Solr _version_ field feature, which records the latest version of the Solr document and increases over time. When the synchronization process starts, the synchronization starts with the documents whose _version_ field value is 0, which usually indicates that these documents are the most updated data in the old Solr instance. Through batch processing, these data are read and transferred to the new Solr instance batch by batch.

[0034] After the data is synchronized to the latest data of the old Solr, the program becomes a listening program, which detects the _version_ of the old Solr from time to time to determine whether there are new changes that need to be synchronized. Once a new version number is detected, these changes will be captured in real time and synchronized to the new Solr instance. This process will continue. Even if the synchronized data changes during the synchronization process, the data changes can be sensed and synchronized in time in the subsequent synchronization.

[0035] (5) Data consistency guarantee: In Solr, since the data synchronization mechanism cannot automatically detect deleted data, and concurrent write queries may cause the loss of some synchronized data, a scheduled data detection program is required to ensure data consistency. This technical solution uses a scheduled task to read the data in the old and new Solr in batches according to the _version_ field, and compare the inconsistencies of the two data sets. Since the data update sequence of the old and new Solr is consistent in the general direction, this method can effectively identify inconsistent data points. By summarizing these inconsistent data, a set of missing, redundant or changed data can be obtained. Finally, based on this summary set, the corresponding addition, deletion or modification operations are performed on the data in the new Solr to ensure data consistency between the old and new Solr. This method not only makes up for the shortcomings in data synchronization, but also improves the accuracy and reliability of data synchronization, ensuring the integrity and consistency of the data.

[0036] (6) Monitoring and resuming: The data synchronization program will update the synchronization progress in real time and record the latest version of the synchronization. In this way, even if the program terminates unexpectedly during the synchronization process, the recorded version can be used to quickly locate the location of the last synchronization and continue synchronization from that point, ensuring that data will not be lost or synchronized repeatedly due to program interruptions. This mechanism is similar to the breakpoint resume function, which is very common in file downloads or data migration, but is also applicable to SolrCloud data synchronization. In this way, even in the face of network fluctuations or temporary system failures, the reliability and integrity of data synchronization can be guaranteed, the synchronization efficiency can be accelerated, and the problem of repeated data synchronization can be avoided.

[0037] In a specific embodiment, Figure 1As shown, a method for Solr cross-version configuration comparison and data synchronization of the present invention includes the following steps:

[0038] a) Initialize the configuration comparison tool: Start the configuration comparison tool and load the sample configuration files schema.xml and Solrconfig.xml of the old version of Solr (for example, Solr 6.6.6) and the new version of Solr (for example, Solr 8.11.1).

[0039] b) Configuration file difference analysis: Use configuration comparison tools to analyze the old version sample configuration and the actual configuration, identify the manually modified parts of the old version, and compare the new and old version sample configurations to identify the deprecated and modified parts of the new version configuration. Generate a difference report that lists all differences in detail, including changes in field definitions, updates to index rules, etc.

[0040] c) Intelligent configuration generation: Based on the difference report, the configuration generator automatically adjusts the configuration file of the old version to adapt to the format of the new version. The generator will retain the user-defined settings in the old version, add necessary configuration items according to the requirements of the new version, and output the configuration file adapted to the new version.

[0041] d) Real-time data synchronization: By calling the Solr API and using the _version_ field as the basis for data synchronization, data changes are obtained from the old Solr instance in batches. These changes include new and modified documents, and then these changes are written to the new Solr instance in real time to ensure real-time update of data between the old and new Solr instances.

[0042] e) Data consistency guarantee: Regularly read the data in the old and new Solr in batches according to the _version_ field. Aggregate the inconsistent data, and finally perform corresponding addition, deletion, and modification operations on the new Solr data based on the aggregated data.

[0043] f) Monitoring and resuming: The data synchronization program updates the synchronization progress in real time and records the latest synchronized version. During the synchronization process, if the program terminates unexpectedly, you can quickly locate the last synchronized location through the recorded version and continue synchronization from that point.

[0044] The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or replacements within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims. It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not further explain various possible combinations. In addition, the various different embodiments of the present invention can also be combined arbitrarily, as long as they do not violate the concept of the present invention, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A method for Solr cross-version configuration comparison and data synchronization, characterized in that: The following steps are involved: Step 1: Initialize the configuration comparison tool: Start the configuration comparison tool and load the configuration files of the old and new versions of Solr. Step 2: Use tools to analyze configuration file differences: Use configuration comparison tools to analyze the configuration and generate a report on the differences between the new and old configuration files. Step 3, intelligent configuration generation: Based on the difference report, the configuration generator automatically generates a configuration file in the new version format; Step 4: Real-time data synchronization: By calling the Solr API, the data in the old Solr instance is synchronized to the new Solr in real time; Step 5: Ensure data consistency: Regularly compare the new and old Solr data to ensure that the data on both sides are consistent; Step 6, monitoring and resuming: During the synchronization process, if the program terminates unexpectedly, the resuming mechanism can be used to quickly locate the last synchronization location.

2. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 1, the configuration files include sample configuration files of the new and old Solr and a user-defined configuration file of the old Solr.

3. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 2, the configuration file difference report includes the changes in the field definitions of the new and old Solr and the newly added and discarded fields, as well as the user-defined configuration of the old Solr.

4. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 3, generating a configuration file means converting the old version field definition to the new version according to the difference report, removing the old fields that have been abandoned in the new version, and adding the user-defined configuration of the old version to the new version file.

5. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 3, the configuration generator analyzes each setting of the old configuration file. For settings that are still valid in the new version, the tool converts them into a new format; for settings that have been deprecated or replaced by the new version, the tool provides corresponding migration suggestions or automatically maps them to new configuration items.

6. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 4, real-time synchronization refers to defining Solr's query and write APIs, obtaining data from the old Solr in batches from old to new according to the _version_ field feature of Solr, and writing the data into the new Solr.

7. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 4, real-time data synchronization utilizes the _version_ field feature of Solr, which records the latest version information of the Solr document and increases over time. After the data is synchronized to the latest data of the old Solr, the program becomes a listening program, which detects the _version_ of the old Solr from time to time to determine whether there are new changes that need to be synchronized. Once a new version number is detected, these changes will be captured in real time and synchronized to the new Solr instance.

8. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 5, data consistency assurance refers to periodically executing a data difference detection tool to query the current data difference between the new and old Solr data, and performing corresponding addition, deletion, and modification operations on the new Solr data to ensure that the data of both parties are consistent.

9. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 6, the resume mechanism refers to saving the latest position of each synchronization during synchronization, ensuring that even if the program is interrupted, synchronization can be continued from the previously saved position next time.

10. A method for Solr cross-version configuration comparison and data synchronization as claimed in claim 1, characterized in that: In step 6, the data synchronization program of the resume mechanism will update the synchronization progress in real time and record the latest synchronized version. Even if the program is terminated unexpectedly during the synchronization process, the last synchronized position can be quickly located through the recorded version and synchronization can be continued from that point.

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