[WIP] Debugging second write failure #205
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WalkthroughThis pull request introduces multiple configuration files for data processing entities across various teams and domains. The changes primarily involve adding new JSON configurations for group-by and join operations, with a focus on data aggregation, metadata management, and partition handling. Several files in the production group-bys and joins directories have been updated, along with modifications to Scala utility classes for partition and data range management. Changes
Sequence DiagramsequenceDiagram
participant Config as JSON Configuration
participant GroupBy as Group-By Operations
participant Join as Join Processing
participant PartitionRange as Partition Range Utility
Config->>GroupBy: Define Aggregation Rules
GroupBy->>Join: Provide Processed Data
Join->>PartitionRange: Manage Partition Ranges
PartitionRange-->>Join: Return Collapsed Ranges
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Actionable comments posted: 7
🧹 Nitpick comments (6)
spark/src/main/scala/ai/chronon/spark/TableUtils.scala (1)
Line range hint
635-643: Enhance assertion message readability.The multi-line error message could be more readable.
- assert( - inputStart.isDefined, - s"""Either partition range needs to have a valid start or - |an input table with valid data needs to be present - |inputTables: $inputTables, partitionRange: $outputPartitionRange - |""".stripMargin - ) + assert( + inputStart.isDefined, + s"""Validation failed: + |1. Partition range must have a valid start, or + |2. Input table must have valid data + | + |Details: + |- Input tables: $inputTables + |- Partition range: $outputPartitionRange + |""".stripMargin + )online/src/test/scala/ai/chronon/online/test/DataRangeTest.scala (1)
44-49: Add test case for null inputAdd a test case to verify behavior with null input.
+ it should "handle null input" in { + val partitions: List[String] = null + val result = collapseToRanges(partitions) + result should be (empty) + }api/py/test/sample/production/group_bys/sample_team/sample_chaining_group_by.chaining_group_by_v1 (2)
60-69: Add 'production' fieldInclude
"production": 1in the groupBy'smetaDatafor consistency.
122-132: Add 'production' fieldInclude
"production": 1in the groupBy'smetaDatafor consistency.api/py/test/sample/production/group_bys/sample_team/sample_group_by_group_by.require_backfill (2)
37-48: Document operation code 7Add a comment explaining what operation code 7 represents for better maintainability.
1-60: Add configuration documentationSince this is a debugging PR:
- Document the configuration changes
- Outline testing strategy for the changes
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📒 Files selected for processing (20)
api/py/test/sample/production/group_bys/sample_team/sample_chaining_group_by.chaining_group_by_v1(1 hunks)api/py/test/sample/production/group_bys/sample_team/sample_group_by.require_backfill(1 hunks)api/py/test/sample/production/group_bys/sample_team/sample_group_by_group_by.require_backfill(1 hunks)api/py/test/sample/production/group_bys/sample_team/sample_group_by_group_by.v1(1 hunks)api/py/test/sample/production/joins/kaggle/outbrain.training_set(1 hunks)api/py/test/sample/production/joins/risk/user_transactions.txn_join(1 hunks)api/py/test/sample/production/joins/sample_team/sample_chaining_join.parent_join(0 hunks)api/py/test/sample/production/joins/sample_team/sample_join_bootstrap.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_join_bootstrap.v2(0 hunks)api/py/test/sample/production/joins/sample_team/sample_join_derivation.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_join_from_module.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_join_with_derivations_on_external_parts.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_label_join.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_label_join_with_agg.v1(0 hunks)api/py/test/sample/production/joins/sample_team/sample_online_join.v1(0 hunks)online/src/main/scala/ai/chronon/online/DataRange.scala(1 hunks)online/src/test/scala/ai/chronon/online/test/DataRangeTest.scala(5 hunks)spark/src/main/scala/ai/chronon/spark/JoinUtils.scala(11 hunks)spark/src/main/scala/ai/chronon/spark/TableUtils.scala(6 hunks)spark/src/main/scala/ai/chronon/spark/utils/PartitionRunner.scala(2 hunks)
💤 Files with no reviewable changes (9)
- api/py/test/sample/production/joins/sample_team/sample_join_derivation.v1
- api/py/test/sample/production/joins/sample_team/sample_label_join.v1
- api/py/test/sample/production/joins/sample_team/sample_join_with_derivations_on_external_parts.v1
- api/py/test/sample/production/joins/sample_team/sample_chaining_join.parent_join
- api/py/test/sample/production/joins/sample_team/sample_join_from_module.v1
- api/py/test/sample/production/joins/sample_team/sample_join_bootstrap.v1
- api/py/test/sample/production/joins/sample_team/sample_label_join_with_agg.v1
- api/py/test/sample/production/joins/sample_team/sample_online_join.v1
- api/py/test/sample/production/joins/sample_team/sample_join_bootstrap.v2
✅ Files skipped from review due to trivial changes (1)
- spark/src/main/scala/ai/chronon/spark/JoinUtils.scala
🧰 Additional context used
📓 Learnings (1)
api/py/test/sample/production/joins/risk/user_transactions.txn_join (1)
Learnt from: chewy-zlai
PR: zipline-ai/chronon#30
File: api/py/test/sample/production/joins/risk/user_transactions.txn_join:217-218
Timestamp: 2024-11-12T09:38:33.532Z
Learning: The JSON files in this project are automatically generated and should not be manually modified or refactored.
⏰ Context from checks skipped due to timeout of 90000ms (7)
- GitHub Check: table_utils_delta_format_spark_tests
- GitHub Check: other_spark_tests
- GitHub Check: mutation_spark_tests
- GitHub Check: fetcher_spark_tests
- GitHub Check: no_spark_scala_tests
- GitHub Check: join_spark_tests
- GitHub Check: scala_compile_fmt_fix
🔇 Additional comments (9)
spark/src/main/scala/ai/chronon/spark/TableUtils.scala (2)
606-619: LGTM! Clean formatting changes.The reformatting improves readability while maintaining the same functionality.
684-690: LGTM! Improved logging clarity.Using
PartitionRange.collapsedPrintprovides more concise output.online/src/main/scala/ai/chronon/online/DataRange.scala (1)
180-183: LGTM!Good defensive programming with null check.
spark/src/main/scala/ai/chronon/spark/utils/PartitionRunner.scala (1)
7-7: LGTM!Import and usage correctly updated to use collapseToRanges.
Also applies to: 82-82
api/py/test/sample/production/group_bys/sample_team/sample_chaining_group_by.chaining_group_by_v1 (1)
23-25: Confirm 'production' statusIs
"production": 0in the join'smetaDataintentional?api/py/test/sample/production/joins/risk/user_transactions.txn_join (1)
8-10: Unbounded dependencies could cause write failures.All dependencies have null start/end dates which might lead to unbounded data fetching.
Consider adding date bounds to prevent excessive data loading.
api/py/test/sample/production/joins/kaggle/outbrain.training_set (1)
104-104: Inconsistent accuracy settings.Accuracy settings vary between 0 and 1 across group-bys. Verify if this is intentional.
Also applies to: 173-173, 241-241, 312-312
✅ Verification successful
Accuracy settings are intentionally varied
The alternating pattern (1,0,0,1) in outbrain.training_set appears deliberate, while other configurations consistently use 0.
🏁 Scripts executed
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#!/bin/bash # Search for other accuracy settings in similar configurations rg -A 1 '"accuracy":'Length of output: 1437
api/py/test/sample/production/group_bys/sample_team/sample_group_by_group_by.require_backfill (2)
6-8: Verify dependency start date alignmentDependency start date (2021-03-01) precedes backfill start date (2023-01-01). Consider aligning these dates to avoid unnecessary data processing.
27-28: Confirm if setups configuration is neededEmpty setups array. Verify if any data transformations are required.
| def compactPrint(partitions: Iterable[String])(implicit partitionSpec: PartitionSpec): String = { | ||
| if (partitions == null) return "NO_PARTITIONS_FOUND" | ||
| rangesToString(collapseToRanges(partitions)) | ||
| } |
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🛠️ Refactor suggestion
Maintain consistent null handling
Return empty string for null input to match the behavior in collapsedPrint.
- if (partitions == null) return "NO_PARTITIONS_FOUND"
+ if (partitions == null) return ""📝 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.
| def compactPrint(partitions: Iterable[String])(implicit partitionSpec: PartitionSpec): String = { | |
| if (partitions == null) return "NO_PARTITIONS_FOUND" | |
| rangesToString(collapseToRanges(partitions)) | |
| } | |
| def compactPrint(partitions: Iterable[String])(implicit partitionSpec: PartitionSpec): String = { | |
| if (partitions == null) return "" | |
| rangesToString(collapseToRanges(partitions)) | |
| } |
| if (partitions == null) return null | ||
| if (partitions.isEmpty) return Seq.empty |
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Return empty sequence instead of null
Returning null could cause NPEs downstream. Return Seq.empty for both null and empty cases.
- if (partitions == null) return null
+ if (partitions == null || partitions.isEmpty) return Seq.empty
- if (partitions.isEmpty) return Seq.empty📝 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.
| if (partitions == null) return null | |
| if (partitions.isEmpty) return Seq.empty | |
| if (partitions == null || partitions.isEmpty) return Seq.empty |
| "name": "sample_team.sample_group_by_group_by.v1", | ||
| "production": 0, |
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🛠️ Refactor suggestion
Set 'production' flag
Consider setting "production": 1 if ready for production.
| "name": "sample_team.sample_group_by.require_backfill", | ||
| "production": 0, |
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🛠️ Refactor suggestion
Set 'production' flag
Consider setting "production": 1 if ready for production.
| } | ||
| ] | ||
| }, | ||
| "prefix": "user" |
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Duplicate prefix "user" in joinParts.
The prefix "user" is used multiple times which could cause column name collisions.
- "prefix": "user"
+ "prefix": "user_data"Also applies to: 209-209
| { | ||
| "events": { | ||
| "table": "kaggle_outbrain_base_table", | ||
| "topic": "some_topic", |
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Placeholder topic name could cause write failure.
The topic name "some_topic" appears to be a placeholder.
Specify the correct Kafka topic name for the streaming configuration.
| "derivations": [ | ||
| { | ||
| "name": "derived_field", | ||
| "expression": "" | ||
| }, | ||
| { | ||
| "name": "*", | ||
| "expression": "*" | ||
| } | ||
| ] |
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Fix incomplete derivation configuration
Issues found:
- Empty expression for derived_field
- Wildcard (*) usage could impact performance
Summary
Checklist
Summary by CodeRabbit
Based on the comprehensive summary, here are the release notes:
New Configurations
Metadata Refinements
tablePropertiesandoutputNamespacefieldsCode Improvements
DataRange.scalaTechnical Updates
collapseToRangemethod tocollapseToRangesacross multiple filesThese changes primarily focus on improving data processing configurations, refining metadata management, and enhancing partition range handling across the system.