marketdb | Market time series database | Time Series Database library

by ezhulenev Scala Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | marketdb Summary

marketdb is a Scala library typically used in Database, Time Series Database applications. marketdb has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

MarketDb is a distributed, scalable Time Series Database written on top of HBase, inspired by OpenTSDB, focused on Financial Market time series. MarketDb was written to address a common need: store, index and serve market time series (trades and orders) collected from market data providers and make this data conveniently accessible for backtesting and strategies simulation. MarketDb written in scala and provides functional Iteratee style timeseries processing.

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Quality

Security

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Support

marketdb has a low active ecosystem.

It has 32 star(s) with 12 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 72 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of marketdb is current.

Quality

marketdb has 0 bugs and 0 code smells.

Security

marketdb has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

marketdb code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

marketdb is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

marketdb 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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marketdb Key Features

No Key Features are available at this moment for marketdb.

marketdb Examples and Code Snippets

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Community Discussions

Trending Discussions on marketdb

How to Combine Pandas DataFrames that have the same columns and data types

QUESTION

How to Combine Pandas DataFrames that have the same columns and data types

Asked 2021-Dec-01 at 12:05

I have three dataframes that I need to combine but nothing I try works. I have been trying everything and nothing is working. So far this is what I have:

...

ANSWER

Answered 2021-Dec-01 at 12:05

You can use the pandas.DataFrame.append function, which let's you append rows of one dataset to another. I think that is what you want to todo, correct me if I'm wrong and you actually want to merge the datasets.

Source https://stackoverflow.com/questions/70183454

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

Vulnerabilities

No vulnerabilities reported

Install marketdb

Install & Run HBase. (How to install HBase on Windows could be found here). Install & Run Kestrel - distributed message queue which is used to deliver market data to MarketDb.
Install & Run HBase. (How to install HBase on Windows could be found here)
Install & Run Kestrel - distributed message queue which is used to deliver market data to MarketDb
Setup environment variables: HBASE_HOME=[path to HBase installation directory] TRADES_TABLE=[table name for trades time series, default='market-trades'] ORDERS_TABLE=[table name for orders time series, default='market-orders'] UID_TABLE=[table name for generated UID, default='market-uid'] COMPRESSION=[HBase compression, default='NONE'] More about compression levels could be found here
Checkout & build MarketDb $ git clone git://github.com/Ergodicity/marketdb.git $ cd ./marketdb $ sbt package
Execute commands from MarketDb root directory: $ ./install/create_tables.sh - create tables $ ./install/create_test_tables.sh - create tables for integration tests (with prefix 'test-')
Create MarketDb configuration. MarketDb uses Ostrich for configuration, hence you need to create Scala configuration before running. Configuration for local HBase & Kestrel import com.ergodicity.marketdb.core.MarketDb import com.ergodicity.marketdb.{MarketDbConfig, KestrelLoader, KestrelConfig} import com.twitter.ostrich.admin.config._ import java.net.InetSocketAddress new MarketDbConfig { // HBase connection: ZookeeperQuorumUrl connection = Connection("localhost") // HBase tables tradesTable = "market-trades" ordersTable = "market-orders" uidTable = "market-uid" // Socked address used for exposing MarketDbService socketAddress = Some(new InetSocketAddress(10333)) // Connection to running Kestrel (possibly multiple applications) // And queue names to consume Trades & Orders val kestrelLoaderService = (marketDB: MarketDb) => { new KestrelLoader(marketDB, KestrelConfig(Seq("localhost:22133"), "trades", "orders", hostConnectionLimit = 30)) } // Services to start right after MarketDb itself services = Seq(kestrelLoaderService) // HTTP port for Ostrich admin console admin.httpPort = 9000 // Ostrich statistics admin.statsNodes = new StatsConfig { reporters = new JsonStatsLoggerConfig { loggerName = "stats" serviceName = "marketDB" } :: new TimeSeriesCollectorConfig } }
Run MarketDb $ java -jar marketdb-0.1-SNAPSHOT.jar -f config.scala At this point you can access the MarketDb's admin page through 127.0.0.1:9000 (if it's running on your local machine).

Support

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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