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perf(weave): push heavy conditions into WHERE for calls stream query #3501

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@gtarpenning gtarpenning commented Jan 28, 2025

Description

Push heavy conditions into WHERE clause before aggregating in calls query, and add secondary string check using LIKE before any json extraction.

This will lead to functional changes in results from the calls query, as conditioning on rows before aggregating can lead to incomplete results when calls_merged contains unmerged parts. Because of the light filter that handles deleted_at and other light filters, the incomplete case only occurs when filtering by heavy fields. For example, if I am filtering my trace table by inputs in a project that is actively receiving traces, its possible that the inputs part is correctly included in the result set but outputs won't be included yet (or vice versa).

The addition of LIKE in the query dramatically reduces S3 read, reducing peak RAM by 2-20+x depending on the string filter, as well as speeding up the query. This is possibly due to better index usage, although it does not appear in the query planner so the exact reason this improves performance is tbd.

Example difference between master and branch query structure:
Master

WITH filtered_calls AS (...)
SELECT ...
FROM calls_merged
WHERE calls_merged.project_id = '<>'
  AND (calls_merged.id IN filtered_calls)
GROUP BY (calls_merged.project_id, calls_merged.id)
HAVING position(JSON_VALUE(any(calls_merged.output_dump), '$."prompt"'), 'ripples') > 0
ORDER BY any(calls_merged.started_at) DESC

Branch

WITH filtered_calls AS (...)
SELECT ...
FROM calls_merged
WHERE calls_merged.project_id = '<>'
  AND (calls_merged.id IN filtered_calls)
  AND calls_merged.output_dump LIKE '%prompt%ripples%'
  AND position(JSON_VALUE(calls_merged.output_dump, '$."prompt"'), 'ripples') > 0
GROUP BY (calls_merged.project_id, calls_merged.id)
ORDER BY any(calls_merged.started_at) DESC

Testing

Example issue:
Prod:
Screenshot 2025-02-20 at 4 14 01 PM
Branch:
Screenshot 2025-02-20 at 4 14 12 PM
After 30 seconds (with min_age_to_force_merge_seconds set):
Screenshot 2025-02-20 at 4 22 42 PM

QA testing w/ queries generated in-app:
Master:
Screenshot 2025-02-20 at 5 21 56 PM
It OOMed when I tested again...
qa-slow-filter-master-2

Branch:
Screenshot 2025-02-20 at 5 18 29 PM
qa-slow-filter-branch

Summary by CodeRabbit

Summary by CodeRabbit

  • Tests

    • Added new test cases to validate behavior of call stream filtering and query handling under heavy conditions.
    • Enhanced SQL query validation tests to ensure queries honor updated filtering, ordering, and data conditions.
  • Enhancements

    • Refined query building capabilities to provide more flexible aggregation handling.
    • Improved condition processing logic to better distinguish between standard and heavy filtering scenarios for more accurate query results.
    • Updated handling of input data to ensure accurate reflection of state when processing attributes and inputs.
  • Database Migrations

    • Updated settings for the calls_merged table to optimize merging operations.
    • Introduced new Bloom filter indexes on inputs_dump and output_dump columns to enhance query performance.

@gtarpenning gtarpenning changed the title mvp, bad techers but technically working mvp, bad tekkers but technically working Jan 28, 2025
@gtarpenning gtarpenning changed the title mvp, bad tekkers but technically working mvp, bad tekkers but technically working (?) Jan 28, 2025
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circle-job-mirror bot commented Jan 28, 2025

exp_formatted = sqlparse.format(exp_query, reindent=True)
found_formatted = sqlparse.format(query, reindent=True)

assert exp_formatted == found_formatted
assert exp_params == params
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easier to debug in this order

@gtarpenning gtarpenning changed the title mvp, bad tekkers but technically working (?) perf(weave): push heavy conditions into WHERE for calls stream query Jan 28, 2025
@gtarpenning gtarpenning marked this pull request as ready for review January 28, 2025 20:50
@gtarpenning gtarpenning requested a review from a team as a code owner January 28, 2025 20:50
@gtarpenning gtarpenning requested a review from tssweeney January 28, 2025 22:21
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Before diving into the code, i have a concern:

I believe this will fail to return rows which have not been merged by the AMT. Referencing the example in the description: what happens if the start and end events are not merged? The resulting data will return the unmerged rows without their start events!

@gtarpenning
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Before diving into the code, i have a concern:

I believe this will fail to return rows which have not been merged by the AMT. Referencing the example in the description: what happens if the start and end events are not merged? The resulting data will return the unmerged rows without their start events!

Hmm, looking at the query plan I do think this is correct, although i'm not sure how often this will happen in practice. I am immediately confronted with dumb ways around this, like, always including all the start events if conditioning on an end event and vice versa @tssweeney

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@tssweeney We could also force merges by using FINAL... In large projects this will very likely be more performant than the groupby... In local testing, using a query that filters down to 200 rows, FINAL used 6x less memory than GROUP BY.

I'm still not exactly sure the best way to repro the conditions that would lead to the issue, merges are hard to predict... And the aggregation functions appear in my testing to actually be working as expected (ie, the query planner reports unmerged parts of the table, but doing filtering on the inputs still always returns the outputs as well). i'll use QA tomorrow.

assert res[0].inputs["param"]["value1"] == "hello"

# Does the query return the output?
assert res[0].output["d"] == 5
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This test highlights the error case that the query creates.

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coderabbitai bot commented Feb 14, 2025

Walkthrough

The changes introduce new test functions and enhancements to SQL query building and handling. A new test in the client trace suite validates the behavior of call queries filtered by specific input parameters. In the trace server tests, a reusable SQL validation function is added, and an existing test is updated to reflect new query requirements. The query builder module refines aggregation handling by adding a flag for conditional aggregation application, updating method signatures, and introducing a method to detect feedback fields. These modifications enhance both testing and query generation capabilities.

Changes

File(s) Change Summary
tests/trace/test_client_trace.py Added test_calls_stream_heavy_condition_aggregation_parts and test_call_stream_query_heavy_query_batch, validating filtering of call queries by input and output conditions.
tests/trace_server/test_calls_query_builder.py Introduced assert_sql function for SQL validation; updated an existing test to include the FINAL keyword, add a JSON condition in the WHERE clause, and remove the HAVING clause.
weave/trace_server/calls_query_builder.py Enhanced query building by adding use_agg_fn flag to CallsMergedAggField, updating Condition.as_sql to accept ignore_agg_fn, adding is_feedback method, and refining heavy filter SQL generation.
weave/trace_server/clickhouse_trace_server_batched.py Modified _ch_call_dict_to_call_schema_dict to handle attributes and inputs fields more robustly, ensuring correct state when keys are present but set to None.
weave/trace_server/migrations/011_add_calls_merged_settings.down.sql Altered calls_merged table settings for min_bytes_for_wide_part and min_age_to_force_merge_seconds.
weave/trace_server/migrations/011_add_calls_merged_settings.up.sql Modified calls_merged table settings for min_bytes_for_wide_part and min_age_to_force_merge_seconds.
weave/trace_server/migrations/012_bloom_filter_inputs_outputs.down.sql Added two Bloom filter indexes (bf_inputs_dump, bf_output_dump) to the calls_merged table.
weave/trace_server/migrations/012_bloom_filter_inputs_outputs.up.sql Modified calls_merged table settings for min_bytes_for_wide_part and min_age_to_force_merge_seconds.

Possibly related PRs

  • fix(weave): call set() on user requested nested columns #3676: The changes in the main PR, specifically the addition of the test_calls_stream_heavy_condition_aggregation_parts function, are related to the modifications in the tests/trace_server/test_calls_query_builder.py file in the retrieved PR, as both involve testing the behavior of queries and their outputs in the context of handling specific input parameters and conditions.

Suggested reviewers

  • tssweeney
  • jwlee64

Poem

I'm a rabbit hopping through code fields bright,
Testing calls with inputs that delight.
SQL queries bloom with flags to guide,
Aggregation tweaks along for the ride.
I nibble on bugs with a cheerful grin,
Celebrating changes where clean paths begin!
🥕🐰 Happy coding in every line!


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🔇 Additional comments (2)
tests/trace/test_client_trace.py (2)

3305-3377: Well-structured test for query processing over partition boundaries.

This test effectively validates the behavior of calls query stream when filtering with heavy conditions on nested fields. It tests both the error case (when data hasn't been merged by ClickHouse) and the successful case (after merging).


3379-3489: Good test coverage for batch operations with heavy conditions.

This test comprehensively checks that filtering by both input and output values works correctly in scenarios where multi-part calls might not be fully merged. The different query conditions and verification checks ensure proper handling of the optimized query structure.

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Actionable comments posted: 0

🧹 Nitpick comments (2)
weave/trace_server/calls_query_builder.py (1)

264-264: Add documentation for the raw parameter
The newly introduced raw parameter in as_sql modifies how conditions are processed. Consider adding a docstring or comment explaining when and why raw should be used.

tests/trace_server/test_calls_query_builder.py (1)

9-19: New assert_sql test helper
This function cleanly compares expected and generated SQL, including parameters. Consider providing a diff or more descriptive error message when there is a mismatch, for easier debugging.

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📒 Files selected for processing (3)
  • tests/trace/test_client_trace.py (1 hunks)
  • tests/trace_server/test_calls_query_builder.py (2 hunks)
  • weave/trace_server/calls_query_builder.py (9 hunks)
🧰 Additional context used
📓 Path-based instructions (1)
`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

  • tests/trace_server/test_calls_query_builder.py
  • weave/trace_server/calls_query_builder.py
  • tests/trace/test_client_trace.py
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🔇 Additional comments (13)
weave/trace_server/calls_query_builder.py (12)

76-76: Default aggregator usage introduced
The new use_agg_fn: bool = True parameter appears well-intentioned for conditionally applying the aggregation function. This default value makes sense and does not raise immediate concerns.


85-86: Verify bypassing of aggregator function
When use_agg_fn is False, the code bypasses the aggregation function and returns the inner cast value directly. Make sure any calling sites that toggle use_agg_fn are updated to avoid inconsistent or unintended behavior.


269-269: Forwarding the raw parameter
Passing raw=raw to process_query_to_conditions looks consistent. No issues found with the forwarding logic.


290-294: is_feedback helper function
This new method cleanly checks for CallsMergedFeedbackPayloadField usage. The logic is straightforward and appears correct. If called often, consider memoizing its result.


458-458: Applying FINAL for heavy filters
Using ClickHouse’s FINAL can be resource-intensive. Verify that the performance trade-off is acceptable for large datasets before applying it unconditionally for heavy filters.


461-461: Appending heavy filter conditions
Appending AND {HEAVY_FILTER_CONDITIONS} is straightforward. Ensure these conditions correctly capture all heavy logic that must remain after partial push-down.


600-603: Classifying feedback conditions as light
You conditionally treat feedback conditions as “light.” If feedback payloads can be large, this might impact performance. Confirm that this classification is intentional.


610-612: Appending the hardcoded filter
Appending the hardcoded filter to the light condition set follows the existing pattern. There appear to be no issues with this approach.


614-616: Constructing the HAVING clause
Combining light conditions under the HAVING clause is consistent with the rest of the design. The code is concise and correct.


619-623: Assigning heavy filter SQL
Heavy filters skip any conditions marked as “feedback.” Verify this logic aligns with your desired behavior, as feedback-based conditions could sometimes require heavy processing.


669-669: Conditionally using calls_merged FINAL
Selecting calls_merged FINAL only if heavy_filter_sql is non-empty is a logical approach. Again, confirm the cost of always finalizing merges is acceptable given your data scale.


673-673: Referencing the chosen table
Using FROM {table_sql} matches the prior assignment logic with FINAL. No further issues observed here.

tests/trace/test_client_trace.py (1)

3258-3314: Added test for heavy condition aggregation parts
This test verifies that partial calls (start/end) can still be retrieved by input filtering and checks the final output post-call end. The coverage is solid. You might consider negative-value queries or multiple parameters to expand the test further.

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Actionable comments posted: 1

🧹 Nitpick comments (1)
tests/trace/test_client_trace.py (1)

3344-3358: Consider adding assertions for timing and summary fields.

While the final verification checks the input and output values, it could be more thorough by:

  • Verifying the timing fields (started_at, ended_at)
  • Checking the summary field values
 res = _make_query("inputs.param.value1", "hello")
 assert len(res) == 1
 assert res[0].inputs["param"]["value1"] == "hello"
+assert res[0].started_at is not None
+assert res[0].ended_at is not None
+assert res[0].summary["c"] == 5
 assert res[0].output["d"] == 5
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📒 Files selected for processing (4)
  • tests/trace/test_client_trace.py (1 hunks)
  • tests/trace_server/test_calls_query_builder.py (2 hunks)
  • weave/trace_server/calls_query_builder.py (10 hunks)
  • weave/trace_server/clickhouse_trace_server_batched.py (1 hunks)
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`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

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  • weave/trace_server/calls_query_builder.py
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🔇 Additional comments (8)
tests/trace_server/test_calls_query_builder.py (2)

9-18: LGTM! Well-structured test helper function.

The function is well-designed with proper type hints and uses sqlparse.format to normalize SQL formatting before comparison, making the tests more robust.


288-293: LGTM! Test case properly validates the new query structure.

The changes correctly test the optimization of pushing heavy conditions into the WHERE clause and using the FINAL keyword for better query performance.

weave/trace_server/calls_query_builder.py (3)

76-76: LGTM! Clean implementation of conditional aggregation.

The addition of use_agg_fn provides flexible control over aggregation function application while maintaining backward compatibility with the default value of True.

Also applies to: 85-87


264-266: LGTM! Enhanced query building flexibility.

The changes improve query building by:

  1. Adding control over aggregation function application through ignore_agg_fn
  2. Adding a clean method to detect feedback fields

Also applies to: 292-296


848-853: LGTM! Clean implementation of temporary state handling.

The code properly manages the temporary disabling of aggregation functions and ensures the state is restored afterward.

tests/trace/test_client_trace.py (3)

3306-3322: LGTM! Helper function implementation is clean and reusable.

The _make_query helper function is well-structured:

  • Takes field and value parameters for flexible querying
  • Constructs a query using the $in operator
  • Returns the results as a list for easy assertion

3323-3338: LGTM! Test setup follows best practices.

The test setup is thorough:

  • Generates unique IDs for call, trace, and parent
  • Creates a call with nested input parameters
  • Uses realistic datetime values with proper timezone handling

3339-3342: LGTM! First query verification is comprehensive.

The initial verification:

  • Checks the result length
  • Verifies the input parameter value
  • Confirms output is not yet set

wildcard_value = f"%{field_value}%"
sql_value = _param_slot(pb.add_param(wildcard_value), "String")

return f"AND + {table_alias}.{field_name} LIKE {sql_value} "
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⚠️ Potential issue

Fix SQL syntax error in LIKE condition.

There's a syntax error in the return statement where + is used instead of a space for concatenation.

Apply this diff to fix the SQL syntax:

-    return f"AND + {table_alias}.{field_name} LIKE {sql_value} "
+    return f"AND {table_alias}.{field_name} LIKE {sql_value} "
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
return f"AND + {table_alias}.{field_name} LIKE {sql_value} "
return f"AND {table_alias}.{field_name} LIKE {sql_value} "

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Actionable comments posted: 0

🧹 Nitpick comments (2)
weave/trace_server/migrations/011_add_calls_merged_settings.up.sql (1)

1-2: Optimize Call Merge Settings for Enhanced Performance
The changes in this migration reduce min_bytes_for_wide_part to 0 and set min_age_to_force_merge_seconds to 30. This configuration forces merges to occur sooner, which aligns with the PR objective to push heavy conditions into the WHERE clause and reduce resource usage. Please verify that these values are appropriate based on load tests and performance benchmarks in your testing environments.

weave/trace_server/calls_query_builder.py (1)

706-788: Consider breaking down the complex condition handling logic.

While the implementation is correct and aligns with the optimization goals, the function is quite long and handles multiple operation types. Consider breaking it down into smaller, more focused functions for better maintainability.

Example refactor:

-def make_simple_like_condition(
-    pb: ParamBuilder, condition: Condition, table_alias: str = "calls_merged"
-) -> str:
+def _handle_eq_operation(
+    pb: ParamBuilder,
+    operation: tsi_query.EqOperation,
+    table_alias: str
+) -> str:
+    field_op = operation.eq_[0]
+    if not isinstance(field_op, tsi_query.GetFieldOperator):
+        return ""
+    field = get_field_by_name(field_op.get_field_)
+    field_name = field.field
+
+    value_op = operation.eq_[1]
+    if not isinstance(value_op, tsi_query.LiteralOperation):
+        return ""
+    if not isinstance(value_op.literal_, str):
+        return ""
+    
+    wildcard_value = _like_value(value_op.literal_)
+    sql_value = _param_slot(pb.add_param(wildcard_value), "String")
+    return f" AND {table_alias}.{field_name} LIKE {sql_value}"
+
+def _handle_contains_operation(
+    pb: ParamBuilder,
+    operation: tsi_query.ContainsOperation,
+    table_alias: str
+) -> str:
+    field_op = operation.contains_.input
+    if not isinstance(field_op, tsi_query.GetFieldOperator):
+        return ""
+    field = get_field_by_name(field_op.get_field_)
+    field_name = field.field
+
+    value_op = operation.contains_.substr
+    if not isinstance(value_op, tsi_query.LiteralOperation):
+        return ""
+    if not isinstance(value_op.literal_, str):
+        return ""
+    
+    wildcard_value = _like_value(value_op.literal_)
+    sql_value = _param_slot(pb.add_param(wildcard_value), "String")
+    return f" AND {table_alias}.{field_name} LIKE {sql_value}"
+
+def _handle_in_operation(
+    pb: ParamBuilder,
+    operation: tsi_query.InOperation,
+    table_alias: str
+) -> str:
+    field_op = operation.in_[0]
+    if not isinstance(field_op, tsi_query.GetFieldOperator):
+        return ""
+    field = get_field_by_name(field_op.get_field_)
+    field_name = field.field
+
+    sql_parts = []
+    for op in operation.in_[1]:
+        if not isinstance(op, tsi_query.LiteralOperation):
+            return ""
+        if not isinstance(op.literal_, str):
+            return ""
+        op_wildcard_value = _like_value(op.literal_)
+        op_sql_value = _param_slot(pb.add_param(op_wildcard_value), "String")
+        sql_parts.append(f"{table_alias}.{field_name} LIKE {op_sql_value}")
+
+    if not sql_parts:
+        return ""
+    return f" AND ({' OR '.join(sql_parts)})"
+
+def make_simple_like_condition(
+    pb: ParamBuilder,
+    condition: Condition,
+    table_alias: str = "calls_merged"
+) -> str:
+    """Creates a simple LIKE condition for the SQL query. Used to prepend
+    before JSON_VALUE is used. Optimization for ch s3 reads.
+
+    Only applies to string fields.
+
+    Args:
+        pb: Parameter builder for generating SQL parameters
+        condition: The condition to convert to SQL
+        table_alias: The table alias to use in the SQL (default: "calls_merged")
+
+    Returns:
+        SQL string with the LIKE condition or empty string if not applicable
+    """
+    if isinstance(condition.operand, tsi_query.EqOperation):
+        return _handle_eq_operation(pb, condition.operand, table_alias)
+    elif isinstance(condition.operand, tsi_query.ContainsOperation):
+        return _handle_contains_operation(pb, condition.operand, table_alias)
+    elif isinstance(condition.operand, tsi_query.InOperation):
+        return _handle_in_operation(pb, condition.operand, table_alias)
+    return ""
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📥 Commits

Reviewing files that changed from the base of the PR and between b8b9dd0 and 07a1043.

📒 Files selected for processing (3)
  • weave/trace_server/calls_query_builder.py (11 hunks)
  • weave/trace_server/migrations/011_add_calls_merged_settings.down.sql (1 hunks)
  • weave/trace_server/migrations/011_add_calls_merged_settings.up.sql (1 hunks)
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`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
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Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

  • weave/trace_server/calls_query_builder.py
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🔇 Additional comments (4)
weave/trace_server/migrations/011_add_calls_merged_settings.down.sql (1)

1-2: Ensure Reversible Migration Consistency
This down migration correctly reverts the changes by restoring min_bytes_for_wide_part to 10485760 and min_age_to_force_merge_seconds to 0. Confirm that these default values match the established baseline for your deployment, so that rollback scenarios do not introduce unexpected behavior.

weave/trace_server/calls_query_builder.py (3)

76-87: LGTM! Clean implementation of conditional aggregation.

The addition of use_agg_fn flag and its implementation in as_sql provides a clean way to control aggregation function application, which is crucial for optimizing query performance.


264-296: LGTM! Well-structured condition handling enhancements.

The changes to the Condition class provide better control over aggregation and feedback field handling:

  • The ignore_agg_fn parameter enables flexible aggregation control
  • The is_feedback method cleanly identifies feedback fields

701-704: LGTM! Clean helper function for LIKE patterns.

The _like_value helper function provides a simple and reusable way to create LIKE patterns for string matching.

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Actionable comments posted: 1

🧹 Nitpick comments (1)
weave/trace_server/migrations/012_bloom_filter_inputs_outputs.down.sql (1)

1-9: Verify Migration File Naming Convention

The file is named with a .down.sql suffix, which conventionally indicates a rollback (or reverse) migration. However, the contents are adding indexes and materializing them, which is typically an "up" migration operation. Please verify that the file naming is intentional and that rollback behavior is handled as expected.

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  • weave/trace_server/migrations/012_bloom_filter_inputs_outputs.up.sql
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🔇 Additional comments (2)
weave/trace_server/migrations/012_bloom_filter_inputs_outputs.down.sql (2)

1-3: Index Creation for inputs_dump Column Verified

The command correctly adds a Bloom filter index on the inputs_dump column with the specified granularity.


4-6: Index Creation for output_dump Column Verified

This segment similarly adds the Bloom filter index on the output_dump column. Ensure that both index definitions align with your performance objectives.

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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/trace_server/test_calls_query_builder.py (1)

310-386: Consider adding edge cases to the test.

While the test comprehensively covers the basic scenarios for multiple heavy columns, consider adding test cases for:

  • Empty JSON values
  • Malformed JSON
  • Special characters in JSON paths
  • Null values in the heavy columns

Example test case:

def test_query_multiple_heavy_columns_edge_cases() -> None:
    cq = CallsQuery(project_id="project")
    cq.add_field("id")
    cq.add_field("inputs")
    cq.add_field("output")
    cq.add_condition(
        tsi_query.AndOperation.model_validate(
            {
                "$and": [
                    {
                        "$contains": {
                            "input": {"$getField": "inputs.param.val"},
                            "substr": {"$literal": None},  # Test null value
                        }
                    },
                    {
                        "$in": [
                            {"$getField": "output.param1"},
                            [{"$literal": ""}, {"$literal": "{}"}],  # Test empty values
                        ]
                    },
                ]
            }
        )
    )
    # Add assertions here
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  • tests/trace_server/test_calls_query_builder.py (2 hunks)
  • weave/trace_server/calls_query_builder.py (11 hunks)
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  • weave/trace_server/calls_query_builder.py
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`**/*.py`: Focus on pythonic code patterns. Check for proper...

**/*.py: Focus on pythonic code patterns.
Check for proper exception handling.
Verify type hints usage where applicable.
Look for potential performance improvements.
Don't comment on formatting if black/isort is configured.
Check for proper dependency injection patterns.
Verify proper async handling if applicable.

  • tests/trace_server/test_calls_query_builder.py
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🔇 Additional comments (2)
tests/trace_server/test_calls_query_builder.py (2)

9-18: LGTM! Good refactoring of the helper function.

Moving the assert_sql helper function to the top of the file improves code organization and readability.


292-294: LGTM! Effective optimization of query conditions.

The changes correctly implement the PR's objective by pushing heavy conditions into the WHERE clause, which should improve query performance by filtering data before aggregation.

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Actionable comments posted: 0

🧹 Nitpick comments (2)
tests/trace/test_client_trace.py (2)

3323-3342: Consider using more descriptive test data.

While the test setup is thorough, consider using a more meaningful value for the test data (e.g., "test_value" instead of "hello") to better indicate its purpose in the test.


3358-3375: Add documentation about ClickHouse merging behavior.

The test effectively demonstrates the behavior of unmerged parts, but it would benefit from a docstring explaining:

  • Why the TypeError is expected before merging
  • The purpose of the additional calls in triggering the merge
  • The eventual consistency guarantees

Add a docstring like:

def test_calls_stream_heavy_condition_aggregation_parts(client):
    """Test handling of unmerged parts in ClickHouse for heavy conditions.
    
    This test verifies:
    1. Queries work correctly with nested input parameters
    2. TypeError is raised when accessing output before ClickHouse merges parts
    3. Output becomes accessible after ClickHouse merges the parts
    """
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🔇 Additional comments (1)
tests/trace/test_client_trace.py (1)

3306-3322: LGTM! Well-structured helper function.

The helper function is well-designed with clear parameters, type hints, and proper encapsulation of query construction logic.

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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/trace/test_client_trace.py (1)

3357-3363: Verify SQLite error handling for unmerged data.

The test correctly handles the SQLite case where outputs are not immediately available due to unmerged data. However, consider adding a comment explaining why this behavior is expected in SQLite.

Add a clarifying comment:

    if client_is_sqlite(client):
-        # Does the query return the output?
+        # SQLite doesn't support automatic merging of inputs and outputs like ClickHouse.
+        # Verify that accessing unmerged output raises TypeError as expected.
        with pytest.raises(TypeError):
-            # There will be no output because clickhouse hasn't merged the inputs and
-            # output yet
            assert res[0].output["d"] == 5
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🔇 Additional comments (2)
tests/trace/test_client_trace.py (2)

3306-3322: LGTM! Helper function efficiently handles query construction.

The helper function is well-structured and uses streaming for efficient handling of large result sets.


3305-3376: Well-structured test validating heavy condition aggregation behavior.

The test effectively validates:

  1. Query accuracy before and after call completion
  2. Proper handling of unmerged data in SQLite
  3. Successful merging of inputs and outputs after additional calls

This test aligns with the PR's objective of improving query accuracy when dealing with unmerged parts in calls_merged.

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