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Add additional attributes for redis.search methods create_index, search (#2635)
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@ -13,6 +13,8 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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([#2860](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2860))
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- `opentelemetry-instrumentation-aiokafka` Add instrumentor and auto instrumentation support for aiokafka
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([#2082](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2082))
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- `opentelemetry-instrumentation-redis` Add additional attributes for methods create_index and search, rename those spans
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([#2635](https://github.com/open-telemetry/opentelemetry-python-contrib/pull/2635))
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### Fixed
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@ -102,6 +102,8 @@ from opentelemetry.instrumentation.redis.package import _instruments
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from opentelemetry.instrumentation.redis.util import (
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_extract_conn_attributes,
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_format_command_args,
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_set_span_attribute_if_value,
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_value_or_none,
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)
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from opentelemetry.instrumentation.redis.version import __version__
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from opentelemetry.instrumentation.utils import unwrap
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@ -126,6 +128,8 @@ if redis.VERSION >= _REDIS_ASYNCIO_VERSION:
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_REDIS_CLUSTER_VERSION = (4, 1, 0)
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_REDIS_ASYNCIO_CLUSTER_VERSION = (4, 3, 2)
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_FIELD_TYPES = ["NUMERIC", "TEXT", "GEO", "TAG", "VECTOR"]
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def _set_connection_attributes(span, conn):
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if not span.is_recording() or not hasattr(conn, "connection_pool"):
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@ -138,7 +142,12 @@ def _set_connection_attributes(span, conn):
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def _build_span_name(instance, cmd_args):
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if len(cmd_args) > 0 and cmd_args[0]:
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name = cmd_args[0]
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if cmd_args[0] == "FT.SEARCH":
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name = "redis.search"
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elif cmd_args[0] == "FT.CREATE":
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name = "redis.create_index"
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else:
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name = cmd_args[0]
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else:
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name = instance.connection_pool.connection_kwargs.get("db", 0)
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return name
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@ -181,7 +190,6 @@ def _instrument(
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def _traced_execute_command(func, instance, args, kwargs):
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query = _format_command_args(args)
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name = _build_span_name(instance, args)
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with tracer.start_as_current_span(
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name, kind=trace.SpanKind.CLIENT
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) as span:
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@ -189,9 +197,14 @@ def _instrument(
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span.set_attribute(SpanAttributes.DB_STATEMENT, query)
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_set_connection_attributes(span, instance)
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span.set_attribute("db.redis.args_length", len(args))
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if span.name == "redis.create_index":
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_add_create_attributes(span, args)
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if callable(request_hook):
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request_hook(span, instance, args, kwargs)
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response = func(*args, **kwargs)
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if span.is_recording():
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if span.name == "redis.search":
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_add_search_attributes(span, response, args)
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if callable(response_hook):
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response_hook(span, instance, response)
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return response
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@ -202,9 +215,7 @@ def _instrument(
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resource,
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span_name,
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) = _build_span_meta_data_for_pipeline(instance)
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exception = None
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with tracer.start_as_current_span(
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span_name, kind=trace.SpanKind.CLIENT
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) as span:
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@ -230,6 +241,60 @@ def _instrument(
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return response
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def _add_create_attributes(span, args):
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_set_span_attribute_if_value(
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span, "redis.create_index.index", _value_or_none(args, 1)
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)
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# According to: https://github.com/redis/redis-py/blob/master/redis/commands/search/commands.py#L155 schema is last argument for execute command
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try:
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schema_index = args.index("SCHEMA")
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except ValueError:
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return
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schema = args[schema_index:]
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field_attribute = ""
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# Schema in format:
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# [first_field_name, first_field_type, first_field_some_attribute1, first_field_some_attribute2, second_field_name, ...]
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field_attribute = "".join(
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f"Field(name: {schema[index - 1]}, type: {schema[index]});"
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for index in range(1, len(schema))
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if schema[index] in _FIELD_TYPES
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)
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_set_span_attribute_if_value(
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span,
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"redis.create_index.fields",
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field_attribute,
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)
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def _add_search_attributes(span, response, args):
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_set_span_attribute_if_value(
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span, "redis.search.index", _value_or_none(args, 1)
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)
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_set_span_attribute_if_value(
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span, "redis.search.query", _value_or_none(args, 2)
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)
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# Parse response from search
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# https://redis.io/docs/latest/commands/ft.search/
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# Response in format:
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# [number_of_returned_documents, index_of_first_returned_doc, first_doc(as a list), index_of_second_returned_doc, second_doc(as a list) ...]
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# Returned documents in array format:
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# [first_field_name, first_field_value, second_field_name, second_field_value ...]
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number_of_returned_documents = _value_or_none(response, 0)
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_set_span_attribute_if_value(
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span, "redis.search.total", number_of_returned_documents
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)
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if "NOCONTENT" in args or not number_of_returned_documents:
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return
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for document_number in range(number_of_returned_documents):
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document_index = _value_or_none(response, 1 + 2 * document_number)
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if document_index:
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document = response[2 + 2 * document_number]
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for attribute_name_index in range(0, len(document), 2):
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_set_span_attribute_if_value(
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span,
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f"redis.search.xdoc_{document_index}.{document[attribute_name_index]}",
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document[attribute_name_index + 1],
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)
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pipeline_class = (
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"BasePipeline" if redis.VERSION < (3, 0, 0) else "Pipeline"
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)
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@ -68,3 +68,15 @@ def _format_command_args(args):
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out_str = ""
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return out_str
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def _set_span_attribute_if_value(span, name, value):
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if value is not None and value != "":
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span.set_attribute(name, value)
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def _value_or_none(values, n):
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try:
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return values[n]
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except IndexError:
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return None
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@ -24,7 +24,7 @@ services:
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POSTGRES_PASSWORD: testpassword
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POSTGRES_DB: opentelemetry-tests
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otredis:
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image: redis:4.0-alpine
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image: redis/redis-stack:7.2.0-v12
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ports:
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- "127.0.0.1:6379:6379"
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otrediscluster:
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@ -18,6 +18,15 @@ from time import time_ns
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import redis
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import redis.asyncio
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from redis.exceptions import ResponseError
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from redis.commands.search.indexDefinition import IndexDefinition, IndexType
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from redis.commands.search.aggregation import AggregateRequest
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from redis.commands.search.query import Query
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from redis.commands.search.field import (
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TextField,
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VectorField,
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)
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from opentelemetry import trace
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from opentelemetry.instrumentation.redis import RedisInstrumentor
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from opentelemetry.semconv.trace import SpanAttributes
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@ -614,3 +623,63 @@ class TestRedisDBIndexInstrument(TestBase):
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self.assertEqual(
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span.attributes.get(SpanAttributes.DB_STATEMENT), "GET ?"
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)
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class TestRedisearchInstrument(TestBase):
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def setUp(self):
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super().setUp()
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self.redis_client = redis.Redis(port=6379)
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self.redis_client.flushall()
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self.embedding_dim = 256
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RedisInstrumentor().instrument(tracer_provider=self.tracer_provider)
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self.prepare_data()
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self.create_index()
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def tearDown(self):
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RedisInstrumentor().uninstrument()
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super().tearDown()
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def prepare_data(self):
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try:
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self.redis_client.ft("idx:test_vss").dropindex(True)
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except ResponseError:
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print("No such index")
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item = {"name": "test",
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"value": "test_value",
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"embeddings": [0.1] * 256}
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pipeline = self.redis_client.pipeline()
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pipeline.json().set(f"test:001", "$", item)
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res = pipeline.execute()
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assert False not in res
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def create_index(self):
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schema = (
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TextField("$.name", no_stem=True, as_name="name"),
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TextField("$.value", no_stem=True, as_name="value"),
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VectorField("$.embeddings",
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"FLAT",
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{
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"TYPE": "FLOAT32",
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"DIM": self.embedding_dim,
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"DISTANCE_METRIC": "COSINE",
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},
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as_name="vector",),
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)
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definition = IndexDefinition(prefix=["test:"], index_type=IndexType.JSON)
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res = self.redis_client.ft("idx:test_vss").create_index(fields=schema, definition=definition)
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assert "OK" in str(res)
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def test_redis_create_index(self):
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spans = self.memory_exporter.get_finished_spans()
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span = next(span for span in spans if span.name == "redis.create_index")
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assert "redis.create_index.fields" in span.attributes
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def test_redis_query(self):
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query = "@name:test"
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res = self.redis_client.ft("idx:test_vss").search(Query(query))
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spans = self.memory_exporter.get_finished_spans()
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span = next(span for span in spans if span.name == "redis.search")
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assert span.attributes.get("redis.search.query") == query
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assert span.attributes.get("redis.search.total") == 1
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