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Add changes to set the table partitions dataset name in kv store #1000
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WalkthroughThis change renames a constant in the Changes
Sequence Diagram(s)sequenceDiagram
participant User
participant CLI
participant BatchNodeRunner
participant KVStore
User->>CLI: Provide --table-partitions-dataset argument
CLI->>BatchNodeRunner: Parse and pass dataset name
BatchNodeRunner->>KVStore: Use specified dataset name for partition tracking
Estimated code review effort🎯 2 (Simple) | ⏱️ ~8 minutes Possibly related PRs
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Actionable comments posted: 0
🧹 Nitpick comments (2)
spark/src/main/scala/ai/chronon/spark/kv_store/KVUploadNodeRunner.scala (1)
85-85: Remove unused commented code.This commented override method serves no purpose and should be cleaned up.
- // override def tablePartitionsDataset(): String = tablePartitionsDatasetspark/src/main/scala/ai/chronon/spark/batch/BatchNodeRunner.scala (1)
301-301: Remove unused commented code.This commented override method serves no purpose and should be cleaned up.
- // override def tablePartitionsDataset(): String = tablePartitionsDataset
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📒 Files selected for processing (5)
api/src/main/scala/ai/chronon/api/planner/NodeRunner.scala(1 hunks)spark/src/main/scala/ai/chronon/spark/batch/BatchNodeRunner.scala(7 hunks)spark/src/main/scala/ai/chronon/spark/kv_store/KVUploadNodeRunner.scala(3 hunks)spark/src/main/scala/ai/chronon/spark/submission/JobSubmitter.scala(1 hunks)spark/src/test/scala/ai/chronon/spark/test/batch/BatchNodeRunnerTest.scala(8 hunks)
🧰 Additional context used
🧠 Learnings (4)
spark/src/main/scala/ai/chronon/spark/kv_store/KVUploadNodeRunner.scala (12)
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-07T15:21:50.787Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: chewy-zlai
PR: #47
File: online/src/main/scala/ai/chronon/online/MetadataStore.scala:232-0
Timestamp: 2024-10-17T00:12:09.763Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/KVStore.scala, there are two create methods: def create(dataset: String): Unit and def create(dataset: String, props: Map[String, Any]): Unit. The version with props ignores the props parameter, and the simpler version without props is appropriate when props are not needed.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:19-28
Timestamp: 2024-10-31T18:29:45.027Z
Learning: In MockKVStore located at spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala, the multiPut method is intended to be a simple implementation without dataset existence validation, duplicate validation logic elimination, or actual storage of key-value pairs for verification.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:29-30
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the codebase, the KVStore implementation provides an implicit ExecutionContext in scope, so it's unnecessary to import another.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:13-16
Timestamp: 2024-10-31T18:27:44.973Z
Learning: In MockKVStore.scala, the create method should reset the dataset even if the dataset already exists.
Learnt from: nikhil-zlai
PR: #70
File: service/src/main/java/ai/chronon/service/ApiProvider.java:6-6
Timestamp: 2024-12-03T04:04:33.809Z
Learning: The import scala.util.ScalaVersionSpecificCollectionsConverter in service/src/main/java/ai/chronon/service/ApiProvider.java is correct and should not be flagged in future reviews.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/test/scala/ai/chronon/integrations/aws/DynamoDBKVStoreTest.scala:175-175
Timestamp: 2024-10-07T15:09:51.567Z
Learning: Hardcoding future timestamps in tests within DynamoDBKVStoreTest.scala is acceptable when data is generated and queried within the same time range, ensuring the tests remain valid over time.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:245-260
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In DynamoDBKVStoreImpl.scala, refactoring methods like extractTimedValues and extractListValues to eliminate code duplication is discouraged if it would make the code more convoluted.
Learnt from: chewy-zlai
PR: #62
File: spark/src/main/scala/ai/chronon/spark/stats/drift/SummaryUploader.scala:9-10
Timestamp: 2024-11-06T21:54:56.160Z
Learning: In Spark applications, when defining serializable classes, passing an implicit ExecutionContext parameter can cause serialization issues. In such cases, it's acceptable to use scala.concurrent.ExecutionContext.Implicits.global.
Learnt from: piyush-zlai
PR: #53
File: hub/app/controllers/TimeSeriesController.scala:224-224
Timestamp: 2024-10-29T15:21:58.102Z
Learning: In the mocked data implementation in hub/app/controllers/TimeSeriesController.scala, potential NumberFormatException exceptions due to parsing errors (e.g., when using val featureId = name.split("_").last.toInt) are acceptable and will be addressed when adding the concrete backend.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:67-111
Timestamp: 2024-10-07T15:04:30.069Z
Learning: In the DynamoDBKVStoreImpl class, the props parameter is kept as Map[String, Any] to handle binary properties without serialization, allowing flexibility in storing different types of data.
spark/src/main/scala/ai/chronon/spark/submission/JobSubmitter.scala (1)
Learnt from: nikhil-zlai
PR: #70
File: service/src/main/java/ai/chronon/service/ApiProvider.java:6-6
Timestamp: 2024-12-03T04:04:33.809Z
Learning: The import scala.util.ScalaVersionSpecificCollectionsConverter in service/src/main/java/ai/chronon/service/ApiProvider.java is correct and should not be flagged in future reviews.
spark/src/test/scala/ai/chronon/spark/test/batch/BatchNodeRunnerTest.scala (11)
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/test/scala/ai/chronon/integrations/aws/DynamoDBKVStoreTest.scala:175-175
Timestamp: 2024-10-07T15:09:51.567Z
Learning: Hardcoding future timestamps in tests within DynamoDBKVStoreTest.scala is acceptable when data is generated and queried within the same time range, ensuring the tests remain valid over time.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:19-28
Timestamp: 2024-10-31T18:29:45.027Z
Learning: In MockKVStore located at spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala, the multiPut method is intended to be a simple implementation without dataset existence validation, duplicate validation logic elimination, or actual storage of key-value pairs for verification.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:13-16
Timestamp: 2024-10-31T18:27:44.973Z
Learning: In MockKVStore.scala, the create method should reset the dataset even if the dataset already exists.
Learnt from: piyush-zlai
PR: #44
File: hub/test/store/DynamoDBMonitoringStoreTest.scala:69-86
Timestamp: 2024-10-15T15:33:22.265Z
Learning: In hub/test/store/DynamoDBMonitoringStoreTest.scala, the current implementation of the generateListResponse method is acceptable as-is, and changes for resource handling and error management are not necessary at this time.
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-07T15:21:50.787Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: piyush-zlai
PR: #44
File: hub/app/controllers/ModelController.scala:15-18
Timestamp: 2024-10-17T19:46:42.629Z
Learning: References to MockDataService in hub/test/controllers/SearchControllerSpec.scala and hub/test/controllers/ModelControllerSpec.scala are needed for tests and should not be removed.
Learnt from: nikhil-zlai
PR: #70
File: service/src/main/java/ai/chronon/service/ApiProvider.java:6-6
Timestamp: 2024-12-03T04:04:33.809Z
Learning: The import scala.util.ScalaVersionSpecificCollectionsConverter in service/src/main/java/ai/chronon/service/ApiProvider.java is correct and should not be flagged in future reviews.
Learnt from: chewy-zlai
PR: #47
File: online/src/main/scala/ai/chronon/online/MetadataStore.scala:232-0
Timestamp: 2024-10-17T00:12:09.763Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/KVStore.scala, there are two create methods: def create(dataset: String): Unit and def create(dataset: String, props: Map[String, Any]): Unit. The version with props ignores the props parameter, and the simpler version without props is appropriate when props are not needed.
Learnt from: piyush-zlai
PR: #53
File: hub/app/controllers/TimeSeriesController.scala:224-224
Timestamp: 2024-10-29T15:21:58.102Z
Learning: In the mocked data implementation in hub/app/controllers/TimeSeriesController.scala, potential NumberFormatException exceptions due to parsing errors (e.g., when using val featureId = name.split("_").last.toInt) are acceptable and will be addressed when adding the concrete backend.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:29-30
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the codebase, the KVStore implementation provides an implicit ExecutionContext in scope, so it's unnecessary to import another.
spark/src/main/scala/ai/chronon/spark/batch/BatchNodeRunner.scala (8)
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: piyush-zlai
PR: #33
File: online/src/main/scala/ai/chronon/online/Api.scala:69-69
Timestamp: 2024-10-07T15:21:50.787Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/Api.scala, the default implementation of the create method (def create(dataset: String, props: Map[String, Any]): Unit = create(dataset)) doesn't leverage the props parameter, but subclasses like DynamoDBKVStoreImpl use the props parameter in their overridden implementations.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/test/scala/ai/chronon/integrations/aws/DynamoDBKVStoreTest.scala:175-175
Timestamp: 2024-10-07T15:09:51.567Z
Learning: Hardcoding future timestamps in tests within DynamoDBKVStoreTest.scala is acceptable when data is generated and queried within the same time range, ensuring the tests remain valid over time.
Learnt from: chewy-zlai
PR: #47
File: online/src/main/scala/ai/chronon/online/MetadataStore.scala:232-0
Timestamp: 2024-10-17T00:12:09.763Z
Learning: In the KVStore trait located at online/src/main/scala/ai/chronon/online/KVStore.scala, there are two create methods: def create(dataset: String): Unit and def create(dataset: String, props: Map[String, Any]): Unit. The version with props ignores the props parameter, and the simpler version without props is appropriate when props are not needed.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:19-28
Timestamp: 2024-10-31T18:29:45.027Z
Learning: In MockKVStore located at spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala, the multiPut method is intended to be a simple implementation without dataset existence validation, duplicate validation logic elimination, or actual storage of key-value pairs for verification.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:29-30
Timestamp: 2024-10-08T16:18:45.669Z
Learning: In the codebase, the KVStore implementation provides an implicit ExecutionContext in scope, so it's unnecessary to import another.
Learnt from: piyush-zlai
PR: #33
File: cloud_aws/src/main/scala/ai/chronon/integrations/aws/DynamoDBKVStoreImpl.scala:67-111
Timestamp: 2024-10-07T15:04:30.069Z
Learning: In the DynamoDBKVStoreImpl class, the props parameter is kept as Map[String, Any] to handle binary properties without serialization, allowing flexibility in storing different types of data.
Learnt from: chewy-zlai
PR: #50
File: spark/src/test/scala/ai/chronon/spark/test/MockKVStore.scala:13-16
Timestamp: 2024-10-31T18:27:44.973Z
Learning: In MockKVStore.scala, the create method should reset the dataset even if the dataset already exists.
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🔇 Additional comments (18)
api/src/main/scala/ai/chronon/api/planner/NodeRunner.scala (1)
8-8: LGTM! Clean rename to indicate default value.The "Default" prefix clarifies this is a fallback value for the configurable dataset name.
spark/src/main/scala/ai/chronon/spark/submission/JobSubmitter.scala (1)
223-223: LGTM! Consistent naming for the new command-line argument.Follows existing patterns in the constants object.
spark/src/test/scala/ai/chronon/spark/test/batch/BatchNodeRunnerTest.scala (8)
25-25: LGTM! Proper import for the renamed constant.
214-214: LGTM! Test updated for new parameter.Correctly passes the dataset name to match the updated API.
231-231: LGTM! Assertion uses constant instead of magic string.More maintainable than hardcoded values.
242-242: LGTM! Consistent parameter passing in test.
275-275: LGTM! Test coverage maintained with new parameter.
303-304: LGTM! Multi-line parameter passing handled correctly.
338-338: LGTM! All test scenarios updated consistently.
420-420: LGTM! Complex test scenario properly updated.The partition format translation test correctly uses the new parameter.
spark/src/main/scala/ai/chronon/spark/kv_store/KVUploadNodeRunner.scala (2)
10-10: LGTM! Proper import for the renamed constant.
97-99: LGTM! Command-line option properly configured.Good default value and clear description.
spark/src/main/scala/ai/chronon/spark/batch/BatchNodeRunner.scala (6)
9-9: LGTM! Proper import for the renamed constant.
43-45: LGTM! Command-line option properly configured.Good default value and clear description for the new parameter.
185-189: LGTM! Method signature updated correctly.The new parameter is properly added to enable configurable dataset names.
230-230: LGTM! Parameter used instead of hardcoded constant.Correctly uses the passed parameter for input table partitions.
262-262: LGTM! Consistent parameter usage.Output table partitions also use the configurable dataset name.
282-286: LGTM! Main method properly updated.Correctly passes the new parameter from parsed arguments.
Summary
^^^
Want to be able to set this to a user name spaced table or a dev table for testing
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