records | SQL for Humans - | SQL Database library

 by   kennethreitz42 Python Version: Current License: ISC

kandi X-RAY | records Summary

kandi X-RAY | records Summary

records is a Python library typically used in Database, SQL Database, PostgresSQL applications. records has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

SQL for Humans™

            kandi-support Support

              records has a medium active ecosystem.
              It has 6538 star(s) with 546 fork(s). There are 192 watchers for this library.
              It had no major release in the last 6 months.
              There are 40 open issues and 81 have been closed. On average issues are closed in 67 days. There are 16 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of records is current.

            kandi-Quality Quality

              records has 0 bugs and 0 code smells.

            kandi-Security Security

              records has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              records code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              records is licensed under the ISC License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              records releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              records saves you 244 person hours of effort in developing the same functionality from scratch.
              It has 595 lines of code, 90 functions and 9 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

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            records Key Features

            No Key Features are available at this moment for records.

            records Examples and Code Snippets

            Data Types in Records-The types-Record structure
            Javadot img1Lines of Code : 50dot img1License : Non-SPDX (NOASSERTION)
            copy iconCopy
              "name": "users",
              "json_schema": {
                "type": "object",
                "properties": {
                  "username": {
                    "$ref": "WellKnownTypes.json#definitions/String"
                  "age": {
                    "$ref": "WellKnownTypes.json#definitions/Integer"
            Data Types in Records-The types-Specific types
            Javadot img2Lines of Code : 9dot img2License : Non-SPDX (NOASSERTION)
            copy iconCopy
              "type": "object",
              "properties": {
                "created_at": {
                  "type": "string",
                  "format": "date-time"
            Record selector-Filtering records
            Javadot img3Lines of Code : 5dot img3License : Non-SPDX (NOASSERTION)
            copy iconCopy
                field_pointer: [ ]
                condition: "{{ record['created_at'] < stream_slice['start_time'] }}"
            Records a tensorflow graph .
            pythondot img4Lines of Code : 66dot img4License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def graph(graph_data):
              """Writes a TensorFlow graph summary.
              Write an instance of `tf.Graph` or `tf.compat.v1.GraphDef` as summary only
              in an eager mode. Please prefer to use the trace APIs (`tf.summary.trace_on`,
              `tf.summary.trace_off`, and  
            Decode csv records in CSV format .
            pythondot img5Lines of Code : 56dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def decode_csv_v2(records,
              """Convert CSV  
            Decode a list of csv records .
            pythondot img6Lines of Code : 45dot img6License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def decode_csv(records,
              """Convert CSV records to tensors.   

            Community Discussions


            Rake task for migrating from ActiveStorage to Shrine
            Asked 2021-Jun-16 at 01:10

            I've got a Rails 5.2 application using ActiveStorage and S3 but I've been having intermittent timeout issues. I'm also just a bit more comfortable with shrine from another app.

            I've been trying to create a rake task to just loop through all the records with ActiveStorage attachments and reupload them as Shrine attachments, but I've been having a few issues.

            I've tried to do it through URL and through tempfiles, but I'm not exactly sure of the right steps to fetch the activestorage version and to get it uploaded to S3 and saved on the record as a shrine attachment.

            I've tried the rake task here, but I think the method is only available on rails 6.

            Any tips or suggestions?



            Answered 2021-Jun-16 at 01:10

            I'm sure it's not the most efficient, but it worked.



            Having a SQL statement as WHERE clause in another SQL statement?
            Asked 2021-Jun-15 at 20:22

            Is it possible to have another SQL query as the where statement as I tried below? The following query did not work for me. My goal is to select only the records from NOR_LABOR table which are the ID is greater than the current maximum ID in ALL_LABOR_DETAILS table where work_center column like %NOR%,



            Answered 2021-Jun-15 at 20:22

            From what I understand from your description you are almost there, you just need a minor tweak:



            What is the most efficient way to get properties from an array object?
            Asked 2021-Jun-15 at 19:27

            I want to collect the names (Jenny, Tiffany, etc.) that are stored in every object. and these objects live in an array. I've used Array.prototype.every() and Array.prototype.forEach(), but I don't think they are the right methods.

            I also want to note that majority of these codes are from Codaffection. I am practicing on developing in React.

            If you would like to experiment with the code, click here.

            In every object, there is an id, fullname, email and etc.

            This is the code that adds, edits, generates unique ids for each employee, and gets all storage data.



            Answered 2021-Jun-15 at 19:27

            You mean to use map instead of forEach.



            AWS DynamoDB Partition Key Design
            Asked 2021-Jun-15 at 18:09

            I read this answer, which clarified a lot of things, but I'm still confused about how I should go about designing my primary key.

            First off I want to clarify the idea of WCUs. I get that WCU is the write capacity of max 1kb per second. Does it mean that if writing a piece of data takes 0.25 seconds, I would need 4 of those to be billed 1 WCU? Or each time I write something it consumes 1 WCU, but I could also write X times within 1 second and still be billed 1 WCU?


            I want to create a table that stores the form data for a set of gyms (95% will be waivers, the rest will be incidents reports). Most of the time, each forms will be accessed directly via its unique ID. I also want to query the forms by date, form, userId, etc..

            We can assume an average of 50k forms per gym


            • First option is straight forward: having the formId be the partition key. What I don't like about this option is that scan operations will always filter out 90% of the data (i.e. the forms from other gyms), which isn't good for RCUs.

            • Second option is that I would make the gymId the partition key, and add a sort key for the date, formId, userId. To implement this option I would need to know more about the implications of having 50k records on one partition key.

            • Third option is to have one table per gyms and have the formId as partition key. This seems to be like the best option for now, but I don't really like the idea of having a a large number of tables doing the same thing in my account.

            Is there another option? Which one of the three is better?

            Edit: I'm assuming another option would be SimpleDB?



            Answered 2021-May-21 at 20:26

            For your PK design. What data does the app have when a user is going to look for a form? Does it have the GymID, userID, and formID? If so, make a compound key out of that for the PK perhaps? So your PK might look like:



            Django unable to save form trying to set user in a field
            Asked 2021-Jun-15 at 17:53

            What I want to make, is to create a record of this class:



            Answered 2021-Jun-15 at 17:47
                        if form.is_valid():
                            my_form =
                            my_form.user = request.user



            Spring Boot BatchAcknowledgingMessageListener Splitting Message on Commas
            Asked 2021-Jun-15 at 17:49

            I have a Spring Boot app with a Kafka Listener implementing the BatchAcknowledgingMessageListener interface. When I receive what should be a single message from the topic, it's actually one message for each line in the original message, and I can't cast the message to a ConsumerRecord.

            The code producing the record looks like this:



            Answered 2021-Jun-15 at 17:48

            You are missing the listener type configuration so the default conversion service sees you want a list and splits the string by commas.



            Error handling in SpringBoot kafka in Batch mode
            Asked 2021-Jun-15 at 17:34

            I am trying to figure out is there any way to send failed records in Dead Letter topic in Spring Boot Kafka in Batch mode. I don't want to make the records being sent in duplicate as it's consuming in batch and few are already processed. I saw this link ofspring-kafka consumer batch error handling with spring boot version 2.3.7

            I thought about a use case to stop container and start again without using DLT but again the issue of duplication will come in Batch mode.

            @Garry Russel can you please provide a small code for batch error handling.



            Answered 2021-Jun-15 at 17:34

            The RetryingBatchErrorHandler was added in spring-kafka version 2.5 (which comes with Boot 2.3).

            The listener must throw an exception to indicate which record in the batch failed (either the complete record, or the index in the list).

            Offsets for the records before the failed one are committed and the failed record can be retried and/or sent to the dead letter topic.


            There is a small example there.

            The RetryingBatchErrorHandler was added in 2.3.7, but it sends the entire batch to the dead letter topic, which is typically not what you want (hence we added the RetryingBatchErrorHandler).



            Query to Return Records with Consecutive Dates by Group in Access 2016
            Asked 2021-Jun-15 at 17:04

            I have a table with a date and an ID field. An extract is set out below. I would like to run a query to return all records where the same ID appears on consecutive dates. There may be no consecutive dates or two or more consecutive dates.

            Here is the extract:

            Date No_ID 09/06/2021 24694000 09/06/2021 20102886 09/06/2021 12873514 09/06/2021 21307300 09/06/2021 13310606 10/06/2021 24694000 10/06/2021 14590427 10/06/2021 23520905 10/06/2021 7424945 10/06/2021 11437404 10/06/2021 12873514

            Desired output:

            Date No_ID 09/06/2021 24694000 09/06/2021 12873514 10/06/2021 24694000 10/06/2021 12873514 ...


            Answered 2021-Jun-15 at 08:32


            MS Access Date Comparison Query Not Working
            Asked 2021-Jun-15 at 16:05

            Dears, I'm trying to check for records count within two dates with the following query



            Answered 2021-Jun-15 at 15:15

            You must use either the ISO sequence:



            Find total count of success and failed records
            Asked 2021-Jun-15 at 15:47

            I have to formulate SQL Query to display total success and failed device processing. Suppose User selects 2 devices and runs some process. Each Process which user triggers will spawn 4 jobs (1 devices has 2 jobs to run). Since here user select 2 devices so 4 records comes in db. Now based on ParentTaskId I need to display total successfull,failed jobs with total devices.

            We count a job on a device as success only when both jobs(Type 1,Type 2) are success.

            Note : If jobtype 1 fails , jobtype 2 will not trigger



            Answered 2021-Jun-15 at 15:47

            You can use two levels of aggregation -- the inner one to get the status per parent and device. For this, you can actually use min(taskStatus) to get the status:


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install records

            You can download it from GitHub.
            You can use records like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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