schemaless | FriendFeed Schema-less MySQL Pattern | Object-Relational Mapping library
kandi X-RAY | schemaless Summary
kandi X-RAY | schemaless Summary
Schemaless is a Python module that implements the pattern described by Bret Taylor in his post [How FriendFeed uses MySQL to store schema-less data] There are a couple of other Python modules out there that do this already. Here’s how schemaless is different:.
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Top functions reviewed by kandi - BETA
- Create a meta class
- Return entity by id
- Execute the query
- Check if val is valid
- Start the experiment
- Yield the rows from the database
- Run the run loop
- Process row
- Create an SQLite table
schemaless Key Features
schemaless Examples and Code Snippets
Community Discussions
Trending Discussions on schemaless
QUESTION
Does TDengine support schemaless way of importing data? If so what interface does TDengine provide for users to use schemaless(e.g. through Restful API or other tools)?
...ANSWER
Answered 2021-Dec-02 at 03:47TDengine supports schemsless insert.You can use schemaless through different TDengine connector(like jdbc,c#,c,node,python,go and so on).you can. referencepython's line protocol
QUESTION
Schemaless Bigquery kafka sink connector SMT not able to save data to bigquery on boolean.
MapsUtil.debugPrint on recordValue before returning from apply(R record).
ANSWER
Answered 2022-Feb-21 at 10:42I'm leaving this as community wiki response for community visibility for this kind of questions. As mention on your question made to the connector devs, your request may need a feature implemented on bigquery that needs to be requested to by opening a BigQuery Feature Request. This will bring this kind of requests into developers spotlight so it can be taken into consideration.
It's worth to mention, you can see the list of issues/bugs for the confluentinc kafka-connect-bigquery on the project issue dashboard.
QUESTION
Environment
Kubectl Version
...ANSWER
Answered 2021-Dec-27 at 02:53see kubebuilder issue#2460, use the controller-gen option crd:generateEmbeddedObjectMeta=true will work
QUESTION
I do the research on TDengine's official documentation, but the interface parameter setting only includes taosc, rest, and stmt. Does anyone know where can I find the right way or the right tool to the schemaless insertion benchmark?
...ANSWER
Answered 2021-Dec-06 at 01:16You can set iface option to "sml"
line_protocol option to the protocol you want to test, there are "line", "telnet", "json" three options.
QUESTION
I am using tdengine and influx-db, and i want to transfer data from influx db to tdengine. Since read the data from influxdb and then write to tdengine spent lot of time. I know that influxdb support schemaless and has it own line protocol. Is there anyone know that whether tdengine support influxdb's line protocol? If it does, could you please give some sample examples?
...ANSWER
Answered 2021-Nov-28 at 02:36yes,TDnengine support influxdb's line protocol, from version 2.3.0.0. From your description it seems that you want to use tdengine's schemaless insert example. There are various language examples, since TDengine support many language(java\c\C#\python\go\rust\node).This is example of c:https://github.com/taosdata/TDengine/blob/develop/tests/examples/c/schemaless.c You can find many other example in github under these links: https://github.com/taosdata/TDengine/blob/develop/tests/examples
QUESTION
I see feature about schemaless from official docs, but what can I experience this feature if I need to create timeseries before I insert data?
...ANSWER
Answered 2021-Nov-16 at 01:48The documentation on the official website has some configuration parameters for automatic inference types https://iotdb.apache.org/UserGuide/Master/Appendix/Config-Manual.html
The method is to insert data directly without creating timeseries in advance. IoTDB will infer the storage group, data type, and encoding method of the sequence based on the rules in the configuration parameters.
QUESTION
I am now using iotdb to define the schema in advance when writing data.
I heard that there is support for not defining the schema in advance when writing. Are there any current information or examples of schemaless?
...ANSWER
Answered 2021-Oct-31 at 05:48The official documentation has some descriptions of the configuration parameters for the automatic inference type. See here
You can insert data directly. IoTDB will infer the storage group, data type and encoding method of the timeseries according to the rules in the configuration parameters.
QUESTION
Let's say I am building a marketplace like eBay (or something) for example,
With a data that looks like this (pseudo-code):
...ANSWER
Answered 2021-Mar-17 at 15:29When you have access patterns that require fetching the same information in many different ways (e.g. fetch by tag, fetch by date, fetch by category, etc.), you will be fighting an uphill battle with DynamoDB. With clever data modeling, you can get quite far with the access patterns you can support. However, as a key/value store, search simply isn't the sweet spot for DynamoDB.
A common approach to your problem is to use a tool that specializes in search, like ElasticSearch. You can still store your data in DynamoDB, but use ElasticSearch to support your search needs. AWS even has an article on this topic, which describes how you can use DynamoDB streams to keep an ElasticSearch index up-to-date.
While it may be possible to support this list of access patterns in DynamoDB alone, it's going to be painful (and likely expensive). I'd suggest finding a solution that is purposely built for search.
QUESTION
I'm coming from a SQL background, and I'm trying to wrap my head around the whole schemaless concept.
I think I got the jist of it, and I get the benefits of it - but if you have a frontend layer that has access to a Firestore DB, what stops the user from adding anything to the documents they have rights to write to?
I've looked at a lot of different React/Firebase/Firestore examples now, and they all seem to gloss over it - so maybe I'm missing something very obvious here?
...ANSWER
Answered 2020-Dec-24 at 00:08what stops the user from adding anything to the documents they have rights to write to?
Aside from your security rules that validate that the document data being written, the only limit that is impossible to bypass for a single document with write access is the limit of the size of a single document: 1MB. You can read more in the documentation.
If you don't have any rules that restrict what data can be written to a document, this size is the only limit.
QUESTION
I started a project using MySQL and as such, my project has some helper types that assist with dealing with nulls, both when unmarshalling incoming data on the API, inputting data into the DB, and then the inverse of that, pulling data out of the Database and responding with said data to the API.
For the purposes of this question, we'll deal with a struct i have that represents a Character.
...ANSWER
Answered 2020-Aug-30 at 21:56The easiest way to deal with optional fields like this is to use a pointer:
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Install schemaless
You can use schemaless 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.
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