questdb.io | official QuestDB website , database documentation | Frontend Framework library

 by   questdb TypeScript Version: Current License: Apache-2.0

kandi X-RAY | questdb.io Summary

kandi X-RAY | questdb.io Summary

questdb.io is a TypeScript library typically used in User Interface, Frontend Framework, React, Next.js applications. questdb.io has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

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              questdb.io has a low active ecosystem.
              It has 137 star(s) with 110 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 38 open issues and 167 have been closed. On average issues are closed in 57 days. There are 7 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of questdb.io is current.

            kandi-Quality Quality

              questdb.io has no bugs reported.

            kandi-Security Security

              questdb.io has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              questdb.io is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

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              questdb.io releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

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            questdb.io Key Features

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            questdb.io Examples and Code Snippets

            No Code Snippets are available at this moment for questdb.io.

            Community Discussions

            QUESTION

            Bulk out-of-order data import into QuestDB
            Asked 2021-Jun-13 at 22:11

            I'm looking into using QuestDB for a large amount of financial trade data.

            I have read and understood https://questdb.io/docs/guides/importing-data but my case is slightly different.

            • I have trade data for multiple instruments.
            • For each instrument, the microsecond-timestamped data spans several years.
            • The data for each instrument is in a separate CSV file.

            My main use case is to query for globally time-ordered sequences of trades for arbitrary subsets of instruments. For clarity, the results of a query would look like

            ...

            ANSWER

            Answered 2021-Jun-13 at 22:11

            As of 6.0 you can simply append the CSVs to same table one by one given the table has designated timestamp and partitioned it will work.

            If your CSVs are huge I think batching them in transactions with few million rows will be better than offloading billions at once.

            Depending of how much data you have and your box memory you need to partition in a way that single partition fits memory several times. So you choose if you want daily or monthly partitions.

            Once you decide with partitioning you can speed up the upload if you able to upload day by day batches (or month by month) from all CSVs.

            You will not need to rebuild the table every time you add an instrument, table will be rewritten automatically partition by partition when you insert records out of order.

            Source https://stackoverflow.com/questions/67857757

            QUESTION

            How to check if an existing table has a designated timestamp?
            Asked 2021-May-17 at 11:51

            Once I have an existing table in QuestDB, is there any way to check if the table has a designated timestamp and if yes, which column is it?

            ...

            ANSWER

            Answered 2021-Apr-30 at 08:53

            There is no way as of 5.0.6 I believe. This is definitely a missing feature.

            Source https://stackoverflow.com/questions/67320822

            QUESTION

            asof join with Julia data tools
            Asked 2021-Mar-15 at 20:31

            I am hoping to do something along the lines of pandas merge_asof or QuestDB's ASOF JOIN in Julia. Critically, I also need to apply a group-by operation.

            I would be happy to use any of Julia's Table.jl respecting tools. DataFrame's leftjoin get's close, but requires exact key matches, and doesn't do grouping (as far as I can tell). SplitApplyCombine.jl's leftgroupjoin allows you to pass in your own comparison function, but I don't quite see how to use that function to specify the "nearest less than" value, or "nearest greater than" value.

            For a simple example where group-bys are not necessary, on two tables left and right, each with a column time, I could use a function like

            ...

            ANSWER

            Answered 2021-Mar-15 at 07:17

            Here's one way of doing it in DataFrames - this is certainly not the peak of efficiency, but if your data is small enough that you can afford the first leftjoin it might be good enough.

            Start by joining in_sensor_FOV onto sensor_pings:

            Source https://stackoverflow.com/questions/66629351

            QUESTION

            QuestDB: select clause with WHERE do not work with timestamp field
            Asked 2021-Mar-04 at 11:46

            On a Questdb table I made some queries that are working, but when I tried to apply a where clause the field that has a timestamp type:

            ...

            ANSWER

            Answered 2021-Feb-28 at 22:06

            Your Timestamp_GMT is probably not the designated timestamp of the table. Even though it's of type Timestamp it can only be filtered as

            Source https://stackoverflow.com/questions/66375160

            QUESTION

            How do I perform a dynamic WHERE clause in QuestDB?
            Asked 2021-Mar-03 at 10:19

            I'm looking to create a dynamic WHERE clause in QuestDB for something like the following example SQL:

            ...

            ANSWER

            Answered 2021-Mar-03 at 10:19

            This depends on what you're trying to achieve, but what might be useful is using coalesce() which was added in release 5.0.6.1. The function is designed to work like the Postgres COALESCE keyword and returns the first non-null argument. There are ways that this could be included in your statement, but it's useful if you want to set a default value for a column if it returns null:

            Source https://stackoverflow.com/questions/66443535

            QUESTION

            How do I write influx line protocol records to QuestDB using Python?
            Asked 2021-Feb-22 at 16:22

            How can I send influx line protocol messages to QuestDB from python? Should I be using a library or should I write to the socket? The node example looks like

            ...

            ANSWER

            Answered 2021-Feb-22 at 16:22

            The Python equivalent for the example looks something like the following:

            Source https://stackoverflow.com/questions/66319236

            QUESTION

            Manually setting timestamp format with user defined schema in QuestDB import
            Asked 2021-Jan-21 at 12:47

            I want to import some data with curl to the rest endpoint. I need to use a user defined schema described in the docs, but I have some issues with specifying timestamp format.

            This is a minimal example of what I'm sending:

            ...

            ANSWER

            Answered 2021-Jan-21 at 12:47

            When using the user-defined schema with TIMESTAMP types, you should be using pattern instead of format in the schema query parameter, i.e.:

            Source https://stackoverflow.com/questions/65824327

            QUESTION

            What is Symbol column in QuestDb?
            Asked 2021-Jan-08 at 15:18

            I am trying out QuestDb and it has Symbol column type. As far as I understand it's useful to store small rarely changed string values. At what point it is better to use a separate table for the strings and use an integer key instead? My simplified schema is 2 tables:

            Instrument: ISIN, Name

            Price: ISIN, PriceValue, Date

            Instruments are limited but can grow up to 1m records over time. Should I use Symbol column for ISIN in Price or better of creating Integer Instrument Id and reference it instead?

            ...

            ANSWER

            Answered 2021-Jan-08 at 15:18

            Internally Symbol is already stored as separate table. Although table appears to display String values for symbol columns internally column stores 32 bit int. For finances cases ISIN and other tickers should always be symbols. Symbols are optimised for ticker lookups, such as the one below to select entire time series for one day

            Source https://stackoverflow.com/questions/65626576

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

            Vulnerabilities

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