CN115658768A - Attribute query method and device for state database and related medium - Google Patents
Attribute query method and device for state database and related medium Download PDFInfo
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Abstract
The invention discloses an attribute query method, an attribute query device and a related medium of a state database, wherein the method comprises the following steps: generating an attribute table based on attribute query on a block chain in advance according to service requirements; receiving a chain-up request transmitted from service data to an endorsement node, and inquiring whether an attribute matched with the service data exists in an attribute table according to the chain-up request; when the attribute matched with the service data exists, performing combined hash processing on the attribute of the service data and the corresponding attribute content, and targeting a key value; judging whether a key list containing a target key value exists on the block chain or not; if the key list exists on the block chain and does not contain the first key value, adding the first key value into the key list and storing the first key value into a state database; and when receiving the attribute query request, querying the state database according to the attribute query request. The invention can solve the problem that the state database Leveldb can not carry out attribute query, and improve the attribute query speed.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to a method and a device for querying attributes of a state database and a related medium.
Background
The blockchain can be regarded as a distributed database, and uplink data is commonly maintained by all nodes and has the characteristics of decentralization, traceability and no tampering. The level DB is a default state database, is a high-performance embedded database written by C + +, does not have an independent database process, and has the advantages of less occupied resources, high speed and the like. CouchDB is a document-type database that provides RESTful API operation documents, and supports native JSON and byte array operations, rich queries, etc.
The current problems are: the efficiency of the Couchdb for performing rich query is influenced by various factors such as data volume and storage, so that the query performance is low and the query rate is slow. While the default levelDB only supports key/value query, and has high query speed but does not support rich query. While level db is mostly adopted in many application scenarios, the requirement of using rich queries is also needed. Therefore, how to implement rich query of the level DB database is a problem to be solved by those skilled in the art.
Disclosure of Invention
The embodiment of the invention provides an attribute query method, an attribute query device, computer equipment and a storage medium of a state database, and aims to solve the problem that the state database Leveldb cannot be subjected to attribute query and improve the attribute query speed and query performance.
In a first aspect, an embodiment of the present invention provides a method for querying an attribute of a state database, including:
generating an attribute table based on attribute query on a block chain according to service requirements in advance;
receiving a chain-up request transmitted from service data to an endorsement node, and inquiring whether an attribute matched with the service data exists in the attribute table according to the chain-up request; the business data comprises a first key value and a target value;
when the attribute matched with the service data exists, performing combined hash processing on the attribute of the service data and the corresponding attribute content, and taking the result of the combined hash processing as a target key value;
judging whether a key list containing the target key value exists on the block chain or not;
if the key list exists on the block chain and the key list does not contain the first key value, adding the first key value into the key list and storing the first key value into a state database;
and when receiving an attribute query request, querying the state database according to the attribute query request.
In a second aspect, an embodiment of the present invention provides an attribute query apparatus for a state database, including:
the attribute table generating unit is used for generating an attribute table based on attribute query on the block chain in advance according to the service requirement;
a first query unit, configured to receive a uplink request for transmitting service data to an endorsement node, and query, according to the uplink request, whether an attribute matching the service data exists in the attribute table; wherein the service data comprises a first key value and a target value;
the first hash unit is used for carrying out combined hash processing on the attributes of the service data and corresponding attribute contents when the attributes matched with the service data exist in inquiry, and taking the result of the combined hash processing as a target key value;
the judging unit is used for judging whether a key list containing the target key value exists on the block chain;
the adding and updating unit is used for adding the first key value into the key list and storing the first key value into a state database if the key list exists on the block chain and does not contain the first key value;
and the second query unit is used for querying the state database according to the attribute query request when receiving the attribute query request.
In a third aspect, an embodiment of the present invention provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the method for querying the attribute of the state database according to the first aspect when executing the computer program.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, and when executed by a processor, the computer program implements the method for querying the attribute of the state database according to the first aspect.
The embodiment of the invention provides an attribute query method, an attribute query device, computer equipment and a storage medium of a state database, wherein the method comprises the following steps: generating an attribute table based on attribute query on a block chain in advance according to service requirements; receiving a chain-up request transmitted from service data to an endorsement node, and inquiring whether an attribute matched with the service data exists in the attribute table according to the chain-up request; the business data comprises a first key value and a target value; when the attribute matched with the service data exists, performing combined hash processing on the attribute of the service data and the corresponding attribute content, and taking the result of the combined hash processing as a target key value; judging whether a key list containing the target key value exists on the block chain; if the key list exists on the block chain and does not contain the first key value, adding the first key value into the key list and storing the first key value into a state database; and when receiving an attribute query request, querying the state database according to the attribute query request. The embodiment of the invention realizes the function of querying the value attribute in the Fabric based on the level DB (key/value) database, and can query all the key/value data in the attribute which is equal to the attribute value. Meanwhile, the problem that the Leveldb cannot be subjected to attribute query is solved, and the performance and the query speed are obviously superior to those of Couchdb specially used for rich query.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flowchart of an attribute query method for a state database according to an embodiment of the present invention;
fig. 2 is a schematic process diagram of an attribute query method for a state database according to an embodiment of the present invention;
fig. 3 is another schematic process diagram of an attribute query method for a state database according to an embodiment of the present invention;
fig. 4 is a schematic block diagram of an attribute query apparatus for a state database according to an 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 some, but not all, embodiments of the present invention. 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.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a schematic flow chart of an attribute query method for a state database according to an embodiment of the present invention, which specifically includes: steps S101 to S106.
S101, generating an attribute table based on attribute query on a block chain in advance according to service requirements;
the method comprises the following steps:
and collecting different service requirements, listing the attributes needing to be subjected to attribute query according to the service requirements so as to generate the attribute table, and uploading the attribute table to a block chain.
In the step, according to specific business requirements, attributes which need to be subjected to attribute query, such as age, gender and the like, are listed, and a rich query attribute list is generated and uploaded to a block chain account book.
S102, receiving a chain loading request transmitted from service data to an endorsement node, and inquiring whether an attribute matched with the service data exists in the attribute table according to the chain loading request; wherein the service data comprises a first key value and a target value;
with reference to fig. 2, this step includes:
when the uplink request of the service data is transmitted to an endorsement node, the endorsement node simulates an execution contract based on the service data;
and calling the attribute table, and inquiring whether the attribute which is matched with the attribute under the first value of the contract exists in the attribute table.
For example, when a data uplink request is transmitted to the peer node, the peer node simulates an execution contract, calls the rich query attribute table, and retrieves the attributes under the value of the transaction value.
S103, when the attribute matched with the service data exists, performing combined hash processing on the attribute of the service data and the corresponding attribute content, and taking the result of the combined hash processing as a target key value;
the method comprises the following steps:
when the attribute matched with the attribute under the first value of the contract exists, extracting the attribute value and the attribute name under the first value of the contract;
and combining the attribute values and the attribute names, and performing hash processing on a combined result to obtain the target key value.
If the value in the attribute table is not matched with the value in the attribute query attribute table, the transaction is processed normally.
If the attribute value is matched with the attribute name, extracting the attribute value and the attribute name of the attribute in the value under the transaction, combining the attribute value and the attribute name, and then performing hash processing, wherein the obtained hash value is used as key2, namely the target key value.
S104, judging whether a key list containing the target key value exists on the block chain;
the method comprises the following steps:
and querying the target key value on the block chain, acquiring a corresponding target value, and checking whether a key list containing the first key value exists.
And judging the existence of the key2 (namely the target key value), namely retrieving the key2 on the block chain to check whether an original data key list below the key2 exists on the block chain.
S105, if the key list exists on the block chain and does not contain the first key value, adding the first key value into the key list and storing the first key value into a state database;
the method comprises the following steps:
when the key list exists and the first key of the business data does not exist in the target value corresponding to the target key value of the contract, adding the first key value of the contract into the key list;
and when the key list does not exist, taking the first key value of the contract as a target value, taking the target key value and the target value as key-value pairs, adding the key value and the target value into the state database, and simultaneously updating the key value and the first value as the key-value pairs into the state database.
If the key list of the attribute key2 exists and the key of the transaction is not in the key list, the key of the transaction is added to the key list. If the key list of the attribute key2 does not exist, the key1 is used as the value2, and then the key2 and the value2 are saved in the levelDB state database.
And S106, when receiving the attribute query request, querying the state database according to the attribute query request.
With reference to fig. 3, this step includes:
when an endorsement node receives an attribute query request, analyzing and acquiring an attribute name and an attribute value in the attribute query request, and performing hash processing after combining the attribute name and the attribute value;
taking the hash value obtained by the hash processing as a query key value to query a state database on the block chain;
when a target value corresponding to the query key value is queried, analyzing the target value to obtain a corresponding target key list;
and traversing the target key list, sequentially taking the elements in the target key list as target key values, inquiring and acquiring target attributes under the target key values on the block chain, storing the target attributes into an array, and returning the array as an inquiry result.
For example, after receiving the attribute query request, the peer parses the attribute value of the attribute query request, and performs hash processing after splicing and combining the attribute name and the attribute value. Then, the hash value is used as a key to query a levelDB state database on the chain, and the queried value is analyzed, wherein the value is a list of all keys which are used for the attribute and have the same value. Then, traversing the list, sequentially taking the elements in the list as keys, inquiring the attributes under the keys on the acquisition chain, storing the attributes into a new array, adding the attributes inquired each time into the new array, and finally returning the new array to the front end.
In this embodiment, an attribute table requiring attribute query is first generated according to service requirements, and when a service data link is performed, whether an attribute in a value structure of the service data link exists in the attribute table is retrieved. If the attribute exists, the attribute value used for the attribute query is hashed to be used as a new key, and the value is set to be a key list for storing all the service data under the same attribute value. During retrieval, data of attribute query attributes need to be uploaded after hash processing, and data of all keys under the hash are returned on a chain.
The embodiment realizes the function of querying the value attribute in the Fabric based on the level DB (key/value) database, and can query all the key/value data equal to the attribute value in the attribute. Meanwhile, the problem that the Leveldb cannot be subjected to attribute query is solved, and the performance and the query speed are obviously superior to those of Couchdb specially used for rich query.
Fig. 4 is a schematic block diagram of an attribute query apparatus 400 for a state database according to an embodiment of the present invention, where the apparatus 400 includes:
an attribute table generating unit 401, configured to generate an attribute table based on attribute query on a block chain in advance according to a service requirement;
a first querying unit 402, configured to receive a uplink request for transmitting service data to an endorsement node, and query, according to the uplink request, whether an attribute matching the service data exists in the attribute table; wherein the service data comprises a first key value and a target value;
a first hash unit 403, configured to, when it is found that an attribute matching the service data exists, perform combined hash processing on the attribute of the service data and corresponding attribute content, and use a result of the combined hash processing as a target key value;
a determining unit 404, configured to determine whether a key list including the target key value exists on the block chain;
an adding and updating unit 405, configured to add the first key value to the key list and store the first key value in a state database if the key list exists on the block chain and the key list does not include the first key value;
the second query unit 406 is configured to query the state database according to the attribute query request when receiving the attribute query request.
In an embodiment, the attribute table generating unit 401 includes:
and the requirement collecting unit is used for collecting different service requirements, listing the attributes needing to be subjected to attribute query according to the service requirements so as to generate the attribute table, and uploading the attribute table to the block chain.
In one embodiment, the first query unit 402 includes:
the contract execution unit is used for simulating and executing a contract based on the service data by the endorsement node when the uplink request of the service data is transmitted to the endorsement node;
and the attribute table calling unit is used for calling the attribute table and inquiring whether the attribute table has the attribute matched with the attribute under the first value of the contract.
In one embodiment, the first hash unit 403 includes:
the extracting unit is used for extracting an attribute value and an attribute name under the first value of the contract when the attribute matched with the attribute under the first value of the contract exists;
and the combination unit is used for combining the attribute value and the attribute name and carrying out hash processing on a combination result to obtain the target key value.
In an embodiment, the determining unit 404 includes:
and the checking unit is used for inquiring the target key value on the block chain, acquiring the corresponding target value and checking whether a key list containing the first key value exists or not.
In one embodiment, the add and update unit 405 includes:
an adding unit, configured to add the first key value of the contract to the key list when the key list exists and the first key of the service data does not exist in the target value corresponding to the target key value of the contract;
and the updating unit is used for taking the first key value of the contract as a target value, taking the target key value and the target value as key value pairs, adding the key value and the target value into the state database, and taking the first key value and the first value as key value pairs to update the key value pairs into the state database.
In one embodiment, the second query unit 406 includes:
the system comprises a first analysis unit, a second analysis unit and a third analysis unit, wherein the first analysis unit is used for analyzing and acquiring an attribute name and an attribute value in an attribute query request when an endorsement node receives the attribute query request, and performing hash processing after combining the attribute name and the attribute value;
the database query unit is used for taking the hash value obtained by the hash processing as a query key value so as to query the state database on the block chain;
the second analysis unit is used for analyzing the target value when the target value corresponding to the query key value is queried so as to acquire a corresponding target key list;
and the traversing unit is used for traversing the target key list, sequentially taking the elements in the target key list as target key values, inquiring and acquiring the target attributes under the target key values on the block chain, storing the target attributes in an array, and returning the array as an inquiry result.
Since the embodiment of the apparatus portion and the embodiment of the method portion correspond to each other, please refer to the description of the embodiment of the method portion for the embodiment of the apparatus portion, and details are not repeated here.
Embodiments of the present invention also provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the steps provided by the above embodiments can be implemented. The storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The embodiment of the present invention further provides a computer device, which may include a memory and a processor, where the memory stores a computer program, and the processor may implement the steps provided in the above embodiment when calling the computer program in the memory. Of course, the computer device may also include various network interfaces, power supplies, and the like.
The embodiments are described in a progressive mode in the specification, the emphasis of each embodiment is on the difference from the other embodiments, and the same and similar parts among the embodiments can be referred to each other. For the system disclosed by the embodiment, the description is relatively simple because the system corresponds to the method disclosed by the embodiment, and the relevant points can be referred to the method part for description. It should be noted that, for those skilled in the art, it is possible to make several improvements and modifications to the present application without departing from the principle of the present application, and such improvements and modifications also fall within the scope of the claims of the present application.
It should also be noted that, in this specification, relational terms such as first and second, and the like are 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 phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Claims (10)
1. An attribute query method for a state database is characterized by comprising the following steps:
generating an attribute table based on attribute query on a block chain according to service requirements in advance;
receiving a chain-up request transmitted from service data to an endorsement node, and inquiring whether an attribute matched with the service data exists in the attribute table according to the chain-up request; wherein the service data comprises a first key value and a first value;
when the attribute matched with the service data exists, performing combined hash processing on the attribute of the service data and the corresponding attribute content, and taking the result of the combined hash processing as a target key value;
judging whether a key list containing the target key value exists on the block chain;
if the key list exists on the block chain and the key list does not contain the first key value, adding the first key value into the key list and storing the first key value into a state database;
and when receiving an attribute query request, querying the state database according to the attribute query request.
2. The method according to claim 1, wherein the generating an attribute table based on attribute query on a block chain in advance according to service requirements comprises:
and collecting different service requirements, listing the attributes needing to be subjected to attribute query according to the service requirements so as to generate the attribute table, and uploading the attribute table to a block chain.
3. The method of claim 2, wherein the receiving a uplink request for service data transmission to an endorsement node and looking up in the attribute table whether an attribute matching the service data exists according to the uplink request comprises:
when the uplink request of the business data is transmitted to an endorsement node, the endorsement node simulates an execution contract based on the business data;
and calling the attribute table, and inquiring whether the attribute which is matched with the attribute under the first value of the contract exists in the attribute table.
4. The method according to claim 3, wherein when it is found that there is an attribute matching with the service data, performing a combined hash process on the attribute of the service data and corresponding attribute content, and taking the result of the combined hash process as a target key value, includes:
when the attribute matched with the attribute under the first value of the contract exists, extracting the attribute value and the attribute name under the first value of the contract;
and combining the attribute value and the attribute name, and performing hash processing on a combined result to obtain the target key value.
5. The method according to claim 4, wherein the determining whether a key list containing the target key value exists on the block chain comprises:
and querying the target key value on the block chain, acquiring a corresponding target value, and checking whether a key list containing the first key value exists.
6. The method according to claim 5, wherein if the key list exists in the block chain and the key list does not contain the first key value, adding the first key value to the key list and storing the first key value in the state database comprises:
when the key list exists and the first key of the business data does not exist in the target value corresponding to the target key value of the contract, adding the first key value of the contract into the key list;
and when the key list does not exist, taking the first key value of the contract as a target value, taking the target key value and the target value as key value pairs, adding the key value and the target value into the state database, and simultaneously updating the key value and the first value into the state database as the key value pairs.
7. The method for querying the attribute of the state database according to claim 1, wherein when receiving the attribute query request, querying the state database according to the attribute query request comprises:
when an endorsement node receives an attribute query request, analyzing and acquiring an attribute name and an attribute value in the attribute query request, and performing hash processing after combining the attribute name and the attribute value;
taking the hash value obtained by the hash processing as a query key value to query a state database on the block chain;
when a target value corresponding to the query key value is queried, analyzing the target value to obtain a corresponding target key list;
and traversing the target key list, sequentially taking the elements in the target key list as target key values, inquiring and acquiring target attributes under the target key values on the block chain, storing the target attributes into an array, and returning the array as an inquiry result.
8. An attribute query device for a state database, comprising:
the attribute table generating unit is used for generating an attribute table based on attribute query on the block chain in advance according to the service requirement;
a first query unit, configured to receive a uplink request for transmitting service data to an endorsement node, and query, according to the uplink request, whether an attribute matching the service data exists in the attribute table; wherein the service data comprises a first key value and a first value;
the first hash unit is used for carrying out combined hash processing on the attributes of the service data and corresponding attribute contents when the attributes matched with the service data exist in inquiry, and taking the result of the combined hash processing as a target key value;
the judging unit is used for judging whether a key list containing the target key value exists on the block chain;
the adding and updating unit is used for adding the first key value into the key list and storing the first key value into a state database if the key list exists on the block chain and does not contain the first key value;
and the second query unit is used for querying the state database according to the attribute query request when receiving the attribute query request.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing a method of querying a state database for attributes as claimed in any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored thereon, which, when being executed by a processor, implements the method of attribute query of a state database according to any one of claims 1 to 7.
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