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https://github.com/getsentry/snuba-sdk

SDK for generating SnQL queries for Snuba
https://github.com/getsentry/snuba-sdk

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SDK for generating SnQL queries for Snuba

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[image](https://sentry.io/?utm_source=github&utm_medium=logo)

See here for the full
[documentation](https://getsentry.github.io/snuba-sdk/).

# Status

[![image](https://img.shields.io/pypi/v/snuba-sdk.svg)](https://pypi.python.org/pypi/snuba-sdk)

[![image](https://github.com/getsentry/snuba-sdk/workflows/tests/badge.svg)](https://github.com/getsentry/snuba-sdk/actions)

[![image](https://img.shields.io/discord/621778831602221064)](https://discord.gg/cWnMQeA)

# Examples

Snuba SDK is a tool that allows requests to Snuba to be built
programatically. A Request consists of a Query, the dataset the Query is
targeting, the AppID of the Request, and any flags for the Request. A
Query object is a code representation of a SnQL query, and has a number
of attributes corresponding to different parts of the query.

Requests and Queries can be created directly:

``` python
request = Request(
dataset = "discover",
app_id = "myappid",
tenant_ids = {"referrer": "my_referrer", "organization_id": 1234}
query = Query(
match=Entity("events"),
select=[
Column("title"),
Function("uniq", [Column("event_id")], "uniq_events"),
],
groupby=[Column("title")],
where=[
Condition(Column("timestamp"), Op.GT, datetime.datetime(2021, 1, 1)),
Condition(Column("project_id"), Op.IN, Function("tuple", [1, 2, 3])),
],
limit=Limit(10),
offset=Offset(0),
granularity=Granularity(3600),
),
flags = Flags(debug=True)
)
```

Queries can also be built incrementally:

``` python
query = (
Query("discover", Entity("events"))
.set_select(
[Column("title"), Function("uniq", [Column("event_id")], "uniq_events")]
)
.set_groupby([Column("title")])
.set_where(
[
Condition(Column("timestamp"), Op.GT, datetime.datetime.(2021, 1, 1)),
Condition(Column("project_id"), Op.IN, Function("tuple", [1, 2, 3])),
]
)
.set_limit(10)
.set_offset(0)
.set_granularity(3600)
)
```

# MQL Examples

MQL queries can be built in a similar way to SnQL queries. However they use a `MetricsQuery` object instead of a `Query` object. The `query` argument of a `MetricsQuery` is either a `Timeseries` or `Formula`, which is a mathemtical formula of `Timeseries`.

The other arguments to the `MetricsQuery` are meta data about how to run the query, e.g. start/end timestamps, the granularity, limits etc.

``` python

MetricsQuery(
query=Formula(
ArithmeticOperator.DIVIDE.value,
[
Timeseries(
metric=Metric(
public_name="transaction.duration",
),
aggregate="sum",
),
1000,
],
),
start=NOW,
end=NOW + timedelta(days=14),
rollup=Rollup(interval=3600, totals=None, granularity=3600),
scope=MetricsScope(
org_ids=[1], project_ids=[11], use_case_id="transactions"
),
limit=Limit(100),
offset=Offset(5),
)
```

Once the request is built, it can be translated into a Snuba request
that can be sent to Snuba.

``` python
# Outputs a formatted Snuba request
request.serialize()
```

It can also be printed in a more human readable format.

``` python
# Outputs a formatted Snuba request
print(request.print())
```

This outputs:

``` JSON
{
"dataset": "discover",
"app_id": "myappid",
"query": "MATCH (events) SELECT title, uniq(event_id) AS uniq_events BY title WHERE timestamp > toDateTime('2021-01-01T00:00:00.000000') AND project_id IN tuple(1, 2, 3) LIMIT 10 OFFSET 0 GRANULARITY 3600",
"debug": true
}
```

If an expression in the query is invalid (e.g. `Column(1)`) then an
`InvalidExpressionError` exception will be thrown. If there is a problem
with a query, it will throw an `InvalidQueryError` exception when
`.validate()` or `.translate()` is called. If there is a problem with
the Request or the Flags, an `InvalidRequestError` or `InvalidFlagError`
will be thrown respectively.

# Contributing to the SDK

Please refer to
[CONTRIBUTING.rst](https://github.com/getsentry/snuba-sdk/blob/master/CONTRIBUTING.rst).

# License

Licensed under FSL-1.0-Apache-2.0, see
[LICENSE](https://github.com/getsentry/snuba-sdk/blob/master/LICENSE.md).