arctic 1.66.0

AHL Research Versioned TimeSeries and Tick store

# [](https://github.com/manahl/arctic) [Arctic TimeSeries and Tick store](https://github.com/manahl/arctic)


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Arctic is a high performance datastore for numeric data. It supports [Pandas](http://pandas.pydata.org/),
[numpy](http://www.numpy.org/) arrays and pickled objects out-of-the-box, with pluggable support for
other data types and optional versioning.

Arctic can query millions of rows per second per client, achieves ~10x compression on network bandwidth,
~10x compression on disk, and scales to hundreds of millions of rows per second per
[MongoDB](https://www.mongodb.org/) instance.

Arctic has been under active development at [Man AHL](http://www.ahl.com/) since 2012.

## Quickstart

### Install Arctic

```
pip install git+https://github.com/manahl/arctic.git
```

### Run a MongoDB

```
mongod --dbpath <path/to/db_directory>
```

### Using VersionStore

```
from arctic import Arctic
import quandl

# Connect to Local MONGODB
store = Arctic('localhost')

# Create the library - defaults to VersionStore
store.initialize_library('NASDAQ')

# Access the library
library = store['NASDAQ']

# Load some data - maybe from Quandl
aapl = quandl.get("WIKI/AAPL", authtoken="your token here")

# Store the data in the library
library.write('AAPL', aapl, metadata={'source': 'Quandl'})

# Reading the data
item = library.read('AAPL')
aapl = item.data
metadata = item.metadata
```

VersionStore supports much more: [See the HowTo](howtos/how_to_use_arctic.py)!


### Adding your own storage engine

Plugging a custom class in as a library type is straightforward. [This example
shows how.](howtos/how_to_custom_arctic_library.py)



## Concepts

### Libraries

Arctic provides namespaced *libraries* of data. These libraries allow
bucketing data by *source*, *user* or some other metric (for example frequency:
End-Of-Day; Minute Bars; etc.).

Arctic supports multiple data libraries per user. A user (or namespace)
maps to a MongoDB database (the granularity of mongo authentication). The library
itself is composed of a number of collections within the database. Libraries look like:

* user.EOD
* user.ONEMINUTE

A library is mapped to a Python class. All library databases in MongoDB are prefixed with 'arctic_'

### Storage Engines

Arctic includes three storage engines:

* [VersionStore](arctic/store/version_store.py): a key-value versioned TimeSeries store. It supports:
* Pandas data types (other Python types pickled)
* Multiple versions of each data item. Can easily read previous versions.
* Create point-in-time snapshots across symbols in a library
* Soft quota support
* Hooks for persisting other data types
* Audited writes: API for saving metadata and data before and after a write.
* a wide range of TimeSeries data frequencies: End-Of-Day to Minute bars
* [See the HowTo](howtos/how_to_use_arctic.py)
* [TickStore](arctic/tickstore/tickstore.py): Column oriented tick database. Supports
dynamic fields, chunks aren't versioned. Designed for large continuously ticking data.
* [Chunkstore](https://github.com/manahl/arctic/wiki/Chunkstore): A storage type that allows data to be stored in customizable chunk sizes. Chunks
aren't versioned, and can be appended to and updated in place.

Arctic storage implementations are **pluggable**. VersionStore is the default.


## Requirements

Arctic currently works with:

* Python 2.7, 3.4, 3.5, 3.6
* pymongo >= 3.0
* Pandas
* MongoDB >= 2.4.x


Operating Systems:
* Linux
* macOS
* Windows 10

## Acknowledgements

Arctic has been under active development at [Man AHL](http://www.ahl.com/) since 2012.

It wouldn't be possible without the work of the AHL Data Engineering Team including:

* [Richard Bounds](https://github.com/richardbounds)
* [James Blackburn](https://github.com/jamesblackburn)
* [Vlad Mereuta](https://github.com/vmereuta)
* [Tom Taylor](https://github.com/TomTaylorLondon)
* Tope Olukemi
* [Drake Siard](https://github.com/drakesiard)
* [Slavi Marinov](https://github.com/slavi)
* [Wilfred Hughes](https://github.com/wilfred)
* [Edward Easton](https://github.com/eeaston)
* [Bryant Moscon](https://github.com/bmoscon)
* ... and many others ...

Contributions welcome!

## License

Arctic is licensed under the GNU LGPL v2.1. A copy of which is included in [LICENSE](LICENSE)

## Changelog

### 1.66
* Bugfix: #168 Do not allow empty string as a column name
* Bugfix: #483 Remove potential floating point error from datetime_to_ms
* Bugfix: #271 Log when library doesnt exist on delete
* Feature: MetaDataStore: added list_symbols with regexp, as_of and metadata fields matching filters
* Feature: Support for serialization of DataFrames in Pandas 0.23.x

### 1.65 (2018-04-16)
* Bugfix: #534 VersionStore: overwriting a symbol with different dtype (but same data format) does not
raise exceptions anymore
* Bugfix: #531 arctic_prune_versions: clean broken snapshot references before pruning
* Bugfix: setup.py develop in a conda environment on Mac
* Feature: #490 add support to numpy 1.14

### 1.63 (2018-04-06)
* Bugfix: #521 Clang 6.0 compiler support on macOS
* Feature: #510 VersionStore: support multi column in pandas DataFrames

### 1.62 (2018-3-14)
* Bugfix: #517 VersionStore: append does not duplicate data in certain corner cases
* Bugfix: #519 VersionStore: list_symbols speed improvement and fix for memory limit exceed

### 1.61 (2018-3-2)
* Feature: #288 Mapping reads and writes over chunks in chunkstore
* Bugfix: #508 VersionStore: list_symbols and read now always returns latest version
* Bugfix: #512 Improved performance for list_versions
* Bugfix: #515 VersionStore: _prune_previous_versions now retries the cleanup operation

### 1.60 (2018-2-13)
* Bugfix: #503 ChunkStore: speedup check for -1 segments
* Feature: #504 Increasing number of libraries in Arctic to 5000.

### 1.59 (2018-2-6)
* Bugfix: Increase performance of invalid segment check in chunkstore
* Bugfix: #501 Fix the spurious data integrity exceptions at write path, due to moving chunks form the balancer

### 1.58 (2018-1-15)
* Bugfix: #491 roll back the use of frombuffer to fromstring, fixes the read-only ndarray issue

### 1.57 (2018-1-11)
* Feature: #206 String support for tickstore
* Bugfix: #486 improve mongo_retry robustness with failures for version store write/append

### 1.56 (2017-12-21)
* Bugfix: #468 Re-adding compatibility for pandas 0.20.x
* Bugfix: #476 Ensure we re-auth when a new MongoClient is created after fork

### 1.55 (2017-12-14)
* Bugfix: #439 fix cursor timeouts in chunkstore iterator
* Bugfix: #450 fix error in chunkstore delete when chunk range produces empty df
* Bugfix: #442 fix incorrect segment values in multi segment chunks in chunkstore
* Feature: #457 enchances fix for #442 via segment_id_repair tool
* Bugfix: #385 exceptions during quota statistics no longer kill a write
* Feature: PR#161 TickStore.max_date now returns a datetime in the 'local' timezone
* Feature: #425 user defined metadata for tickstore
* Feature: #464 performance improvement by avoiding unnecessary re-authentication
* Bugfix: #250 Added multiprocessing safety, check for initialized MongoClient after fork.
* Feature: #465 Added fast operations for write only metadata and restore symbol to a version

### 1.54 (2017-10-18)
* Bugfix: #440 Fix read empty MultiIndex+tz Series

### 1.53 (2017-10-06)
* Perf: #408 Improve memory performance of version store's serializer
* Bugfix #394 Multi symbol read in chunkstore
* Bugfix: #407 Fix segment issue on appends in chunkstore
* Bugfix: Inconsistent returns on MetadataStore.append
* Bugfix: #412 pandas deprecation and #289 improve exception report in numpy record serializer
* Bugfix: #420 chunkstore ignoring open interval date ranges
* Bugfix: #427 chunkstore metadata not being correctly replaced during symbol overwrite
* Bugfix: #431 chunkstore iterators do not handle multi segment chunks correctly

### 1.51 (2017-08-21)
* Bugfix: #397 Remove calls to deprecated methods in pymongo
* Bugfix: #402 Append to empty DF fails in VersionStore

### 1.50 (2017-08-18)
* Feature: #396 MetadataStore.read now supports as_of argument
* Bugfix: #397 Pin pymongo==3.4.0

### 1.49 (2017-08-02)
* Feature: #392 MetadataStore
* Bugfix: #384 sentinels missing time data on chunk start/ends in ChunkStore
* Bugfix: #382 Remove dependency on cython being pre-installed
* Bugfix: #343 Renaming libraries/collections within a namespace/database

### 1.48 (2017-06-26)
* BugFix: Rollback #363, as it breaks multi-index dataframe
* Bugfix: #372 OSX build improvements

### 1.47 (2017-06-19)
* Feature: Re-introduce #363 `concat` flag, essentially undo-ing 1.45
* BugFix: #377 Fix broken `replace_one` on BSONStore and add `bulk_write`

### 1.46 (2017-06-13)
* Feature: #374 Shard BSONStore on `_id` rather than `symbol`

### 1.45 (2017-06-09)
* BugFix: Rollback #363, which can cause ordering issues on append

### 1.44 (2017-06-08)
* Feature: #364 Expose compressHC from internal arctic LZ4 and remove external LZ4 dependency
* Feature: #363 Appending older data (compare to what's exist in library) will raise. Use `concat=True` to append only the
new bits
* Feature: #371 Expose more functionality in BSONStore

### 1.43 (2017-05-30)
* Bugfix: #350 remove deprecated pandas calls
* Bugfix: #360 version incorrect in empty append in VersionStore
* Feature: #365 add generic BSON store

### 1.42 (2017-05-12)
* Bugfix: #346 fixed daterange subsetting error on very large dateframes in version store
* Bugfix: #351 $size queries can't use indexes, use alternative queries

### 1.41 (2017-04-20)
* Bugfix: #334 Chunk range param with pandas object fails in chunkstore.get_chunk_ranges
* Bugfix: #339 Depending on lz4<=0.8.2 to fix build errors
* Bugfix: #342 fixed compilation errors on Mac OSX
* Bugfix: #344 fixed data corruption problem with concurrent appends

### 1.40 (2017-03-03)
* BugFix: #330 Make Arctic._lock reentrant

### 1.39 (2017-03-03)
* Feature: #329 Add reset() method to Arctic

### 1.38 (2017-02-22)
* Bugfix: #324 Datetime indexes must be sorted in chunkstore
* Feature: #290 improve performance of tickstore column reads

### 1.37 (2017-1-31)
* Bugfix: #300 to_datetime deprecated in pandas, use to_pydatetime instead
* Bugfix: #309 formatting change for DateRange ```__str__```
* Feature: #313 set and read user specified metadata in chunkstore
* Feature: #319 Audit log support in ChunkStor
* Bugfix: #216 Tickstore write fails with named index column


### 1.36 (2016-12-13)

* Feature: Default to hashed based sharding
* Bugfix: retry socket errors during VersionStore snapshot operations

### 1.35 (2016-11-29)

* Bugfix: #296 Cannot compress/decompress empty string

### 1.34 (2016-11-29)

* Feature: #294 Move per-chunk metadata for chunkstore to a separate collection
* Bugfix: #292 Account for metadata size during size chunking in ChunkStore
* Feature: #283 Support for all pandas frequency strings in ChunkStore DateChunker
* Feature: #286 Add has_symbol to ChunkStore and support for partial symbol matching in list_symbols

### 1.33 (2016-11-07)

* Feature: #275 Tuple range object support in DateChunker
* Bugfix: #273 Duplicate columns breaking serializer
* Feature: #267 Tickstore.delete returns deleted data
* Dependency: #266 Remove pytest-dbfixtures in favor of pytest-server-fixtures

### 1.32 (2016-10-25)

* Feature: #260 quota support on Chunkstore
* Bugfix: #259 prevent write of unnamed columns/indexes
* Bugfix: #252 pandas 0.19.0 compatibility fixes
* Bugfix: #249 open ended range reads on data without index fail
* Bugfix: #262 VersionStore.append must check data is written correctly during repack
* Bugfix: #263 Quota: Improve the error message when near soft-quota limit
* Perf: #265 VersionStore.write / append don't aggressively add indexes on each write

### 1.31 (2016-09-29)

* Bugfix: #247 segmentation read fix in chunkstore
* Feature: #243 add get_library_type method
* Bugfix: more cython changes to handle LZ4 errors properly
* Feature: #239 improve chunkstore's get_info method

### 1.30 (2016-09-26)

* Feature: #235 method to return chunk ranges on a symbol in ChunkStore
* Feature: #234 Iterator access to ChunkStore
* Bugfix: #236 Cython not handling errors from LZ4 function calls

### 1.29 (2016-09-20)

* Bugfix: #228 Mongo fail-over during append can leave a Version in an inconsistent state
* Feature: #193 Support for different Chunkers and Serializers by symbol in ChunkStore
* Feature: #220 Raise exception if older version of arctic attempts to read unsupported pickled data
* Feature: #219 and #220 Support for pickling large data (>2GB)
* Feature: #204 Add support for library renaming
* Feature: #209 Upsert capability in ChunkStore's update method
* Feature: #207 Support DatetimeIndexes in DateRange chunker
* Bugfix: #232 Don't raise during VersionStore #append(...) if the previous append failed

### 1.28 (2016-08-16)

* Bugfix: #195 Top level tickstore write with list of dicts now works with timezone aware datetimes

### 1.27 (2016-08-05)

* Bugfix: #187 Compatibility with latest version of pytest-dbfixtures
* Feature: #182 Improve ChunkStore read/write performance
* Feature: #162 Rename API for ChunkStore
* Feature: #186 chunk_range on update
* Bugfix: #189 range delete does not update symbol metadata

### 1.26 (2016-07-20)

* Bugfix: Faster TickStore querying for multiple symbols simultaneously
* Bugfix: TickStore.read now respects `allow_secondary=True`
* Bugfix: #147 Add get_info method to ChunkStore
* Bugfix: Periodically re-cache the library.quota to pick up any changes
* Bugfix: #166 Add index on SHA for ChunkStore
* Bugfix: #169 Dtype mismatch in chunkstore updates
* Feature: #171 allow deleting of values within a date range in ChunkStore
* Bugfix: #172 Fix date range bug when querying dates in the middle of chunks
* Bugfix: #176 Fix overwrite failures in Chunkstore
* Bugfix: #178 - Change how start/end dates are populated in the DB, also fix append so it works as expected.
* Bugfix: #43 - Remove dependency on hardcoded Linux timezone files

### 1.25 (2016-05-23)

* Bugfix: Ensure that Tickstore.write doesn't allow out of order messages
* Bugfix: VersionStore.write now allows writing 'None' as a value

### 1.24 (2016-05-10)

* Bugfix: Backwards compatibility reading/writing documents with previous versions of Arctic

### 1.22 (2016-05-09)

* Bugfix: #109 Ensure stable sort during Arctic read
* Feature: New benchmark suite using ASV
* Bugfix: #129 Fixed an issue where some chunks could get skipped during a multiple-symbol TickStore read
* Bugfix: #135 Fix issue with different datatype returned from pymongo in python3
* Feature: #130 New Chunkstore storage type

### 1.21 (2016-03-08)

* Bugfix: #106 Fix Pandas Panel storage for panels with different dimensions

### 1.20 (2016-02-03)

* Feature: #98 Add initial_image as optional parameter on tickstore write()
* Bugfix: #100 Write error on end field when writing with pandas dataframes

### 1.19 (2016-01-29)

* Feature: Add python 3.3/3.4 support
* Bugfix: #95 Fix raising NoDataFoundException across multiple low level libraries

### 1.18 (2016-01-05)

* Bugfix: #81 Fix broken read of multi-index DataFrame written by old version of Arctic
* Bugfix: #49 Fix strifying tickstore

### 1.17 (2015-12-24)

* Feature: Add timezone suppport to store multi-index dataframes
* Bugfix: Fixed broken sdist releases

### 1.16 (2015-12-15)

* Feature: ArticTransaction now supports non-audited 'transactions': `audit=False`
```
with ArcticTransaction(Arctic('hostname')['some_library'], 'symbol', audit=False) as at:
...
```
This is useful for batch jobs which read-modify-write and don't want to clash with
concurrent writers, and which don't require keeping all versions of a symbol.

### 1.15 (2015-11-25)

* Feature: get_info API added to version_store.

### 1.14 (2015-11-25)
### 1.12 (2015-11-12)

* Bugfix: correct version detection for Pandas >= 0.18.
* Bugfix: retrying connection initialisation in case of an AutoReconnect failure.

### 1.11 (2015-10-29)

* Bugfix: Improve performance of saving multi-index Pandas DataFrames
by 9x
* Bugfix: authenticate should propagate non-OperationFailure exceptions
(e.g. ConnectionFailure) as this might be indicative of socket failures
* Bugfix: return 'deleted' state in VersionStore.list_versions() so that
callers can pick up on the head version being the delete-sentinel.

### 1.10 (2015-10-28)

* Bugfix: VersionStore.read(date_range=...) could do the wrong thing with
TimeZones (which aren't yet supported for date_range slicing.).

### 1.9 (2015-10-06)

* Bugfix: fix authentication race condition when sharing an Arctic
instance between multiple threads.

### 1.8 (2015-09-29)

* Bugfix: compatibility with both 3.0 and pre-3.0 MongoDB for
querying current authentications

### 1.7 (2015-09-18)

* Feature: Add support for reading a subset of a pandas DataFrame
in VersionStore.read by passing in an arctic.date.DateRange
* Bugfix: Reauth against admin if not auth'd against a library a
specific library's DB. Sometimes we appear to miss admin DB auths.
This is to workaround that until we work out what the issue is.

### 1.6 (2015-09-16)

* Feature: Add support for multi-index Bitemporal DataFrame storage.
This allows persisting data and changes within the DataFrame making it
easier to see how old data has been revised over time.
* Bugfix: Ensure we call the error logging hook when exceptions occur

### 1.5 (2015-09-02)

* Always use the primary cluster node for 'has_symbol()', it's safer

### 1.4 (2015-08-19)

* Bugfixes for timezone handling, now ensures use of non-naive datetimes
* Bugfix for tickstore read missing images

### 1.3 (2015-08-011)

* Improvements to command-line control scripts for users and libraries
* Bugfix for pickling top-level Arctic object

### 1.2 (2015-06-29)

* Allow snapshotting a range of versions in the VersionStore, and
snapshot all versions by default.

### 1.1 (2015-06-16)

* Bugfix for backwards-compatible unpickling of bson-encoded data
* Added switch for enabling parallel lz4 compression

### 1.0 (2015-06-14)

* Initial public release