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infi.clickhouse_orm/docs/whats_new_in_version_2.md
zeekay dda3979851 rename: the ORM is ours — datastore_orm, not infi.clickhouse_orm
This is our fork, so it should read like it. `import datastore_orm` instead of
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consuming codebase is not a fork, it is a vendored copy that never got renamed.

The `infi` namespace package is gone entirely (src/infi/__init__.py with it),
the distribution is `datastore-orm`, and the metadata points at Hanzo rather
than at the upstream repo and author.

NOT renamed, deliberately: the migration history tables are still
`infi_clickhouse_orm_migrations`. That name is persisted state — 448 rows in
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it carelessly reproduces the exact failure this fork just hit, where a package
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What's New in Version 2

Python 3.5+ Only

This version of the ORM no longer support Python 2.

New flexible syntax for database expressions and functions

Expressions that use model fields, database functions and Python operators are now first-class citizens of the ORM. They provide infinite expressivity and flexibility when defining models and generating queries.

Example of expressions in model definition:

class Temperature(Model):

    station_id = UInt16Field()
    timestamp = DateTimeField(default=F.now()) # function as default value
    degrees_celsius = Float32Field()
    degrees_fahrenheit = Float32Field(alias=degrees_celsius * 1.8 + 32) # expression as field alias

    # expressions in engine definition
    engine = MergeTree(partition_key=[F.toYYYYMM(timestamp)], order_by=[station_id, timestamp])

Example of expressions in queries:

db = Database('default')
start = F.toStartOfMonth(F.now())
expr = (Temperature.timestamp > start) & (Temperature.station_id == 123) & (Temperature.degrees_celsius > 30)
for t in Temperature.objects_in(db).filter(expr):
    print(t.timestamp, t.degrees_celsius)

See Expressions.

Support for IPv4 and IPv6 fields

Two new fields classes were added: IPv4Field and IPv6Field. Their values are represented by Python's ipaddress.IPv4Address and ipaddress.IPv6Address.

See Field Types.

Automatic generation of models by inspecting existing tables

It is now easy to generate a model class on the fly for an existing table in the database using Database.get_model_for_table. This is particularly useful for querying system tables, for example:

QueryLog = db.get_model_for_table('query_log', system_table=True)
for row in QueryLog.objects_in(db).filter(QueryLog.query_duration_ms > 10000):
    print(row.query)

Convenient ways to import ORM classes

You can now import all ORM classes directly from datastore_orm, without worrying about sub-modules. For example:

from datastore_orm import Database, Model, StringField, DateTimeField, MergeTree

See Importing ORM Classes.