[FLINK-29549]- Flink Glue Catalog integration - #206
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Co-Authored-By: Anthony Pounds-Cornish <antpc@amazon.co.uk>
refactoring directory Adding Parent Pom
Samrat002
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Thanks for the contribution. A few points to note:
It looks like most of the code has already been reviewed across multiple PRs.
Concerns:
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The current implementation exposes low-level Glue details (e.g., support for lowercase table names) directly through the Flink Catalog. Is this acceptable? I recommend raising this topic with the community. In my opinion, it would be better to encapsulate such Glue-specific behavior and avoid exposing it directly via the Flink Catalog interface. The catalog's behavior should remain consistent with other catalogs, with differences controlled via configuration only.
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Please consider implementing the basic configuration options defined in FLIP-277. If that’s not feasible in this PR, a fast follow-up would be valuable, especially for users relying on different credential modes.
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It seems that some
.ideafolder files have been committed. Please remove them from the PR.
Cheers,
Samrat
Hey Samrat. How could we encapsulate this specific issues? From user perspective we are already limiting them creating tables and databases with uppercase. In regards of the schema, we encapsulate storing the actual original columnNames in column parameters in Glue, so even though user sees their schema in glue with lower case (default for glue). we actually leverage the original column name.
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Thanks for the detailed response. Can you help me understand the technical complexity to support CaseSensitivity from GlueCatalog? This is a deviation.
We can start a thread in the community to discuss this approach. I am fine with either of the approaches as long as the community agrees on it. |
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| @Override | ||
| public void close() throws CatalogException { | ||
| if (glueClient != null) { |
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Is there a scenario where glueClient would be null?
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glueClient is created lazily.
i think in the following scenario client can be null
- Create a catalog
- Never fired any DDL or DML SQL command
- Close the catalog or shell
this guard unexpected failure NullPointerException
| int maxRetries = 3; | ||
| int retryCount = 0; | ||
| long retryDelayMs = 200; | ||
| while (retryCount < maxRetries) { |
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Curious on what is the motivation for retries here? Is there a specific RuntimeException that we have in mind?
I had a look at AWS sdk, the close is best-effort and logs in case of any exceptions: https://github.com/aws/aws-sdk-java-v2/blob/master/utils/src/main/java/software/amazon/awssdk/utils/IoUtils.java#L76-L85
We can simplify code here by removing retry logic as sdk does not seem to be surfacing exceptions during close().
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| // Filter tables to only include those that are of type VIEW | ||
| List<String> viewNames = allTables.stream() |
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@Samrat002 @FranMorilloAWS about case sensitivity, these are the logical rules I suggest:
I would add that the way the additional metadata (the original name and any additional info required) is stored in Glue should be clearly documented, in case a user want's to build their own external interface to extract or update information in the Glue Catalog. |
Hello @Samrat002 @nicusX. Using Database Parameters and Table Parameters we are now able to use lower/upper case for defining the Database and Table Name. By using the Show Tables/Show Databases, Describe table commands, we will show the original Flink Definition, even though in Glue UI it will be all in lower case |
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Thanks for incorporating the changes. I will review the pr in next couple of days . |
Samrat002
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Patch looks great. Thank you for making the change.
minor comments
Cheers,
Samrat
| # AWS Glue Catalog | ||
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| The AWS Glue Catalog provides a way to use [AWS Glue](https://aws.amazon.com/glue) as a catalog for Apache Flink. | ||
| This allows users to access Glue's metadata store directly from Flink SQL and Table API. |
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In my understanding, the DataStream API can also utilize the Glue Catalog. Is that not true?
| Before getting started, ensure you have the following: | ||
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| - **AWS account** with appropriate permissions for AWS Glue and other required services | ||
| - **AWS credentials** properly configured |
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Can you add a simlink to How to configure from AWS documentation ?
| String region = config.get(REGION.key()); | ||
| String defaultDatabase = config.getOrDefault(DEFAULT_DATABASE.key(), DEFAULT_DATABASE.defaultValue()); | ||
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| // Ensure required properties are present |
| GetUserDefinedFunctionsRequest.Builder functionsRequest = | ||
| GetUserDefinedFunctionsRequest.builder() | ||
| .databaseName(databaseName); | ||
| List<String> glueFunctions; |
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If there is no function present, then glueFunctions will be a null object. This might be an issue.
can you add
| List<String> glueFunctions; | |
| List<String> glueFunctions = new ArrayList<>(); |
| * @param glueClient The Glue client used for interacting with the AWS Glue service. | ||
| * @param catalogName The catalog name associated with the Glue operations. | ||
| */ | ||
| protected GlueOperator(GlueClient glueClient, String catalogName) { |
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Add a null check on input params glueClient
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Can we refer to Paimon's solution for integrating Glue? https://issues.apache.org/jira/browse/FLINK-38457 @FranMorilloAWS |
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@melin. To me knowledge Paimon integration with Glue Data Catalog is to store Paimon Tables in Glue, however it wouldnt work for storing Kinesis, MSK, and other streaming sources. They have different implementations. |
- Remove scala.binary.version property (Flink 2.0 dropped Scala deps) - Replace flink-table-planner_2.12 with flink-table-planner-loader - Migrate CatalogTable.of() to CatalogTable.newBuilder() API (removed in Flink 2.0) - All 120 tests pass
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…t partition operations (G1) Fixes three of the four HIGH findings from the Glue Data Catalog review (B1 constructor client wiring was already fixed on this branch): - B2: buildTableInput now persists partitionKeys and the table comment (description) on the Glue TableInput; createRegularTable splits data columns (storage descriptor) from partition columns (TableInput), so partition metadata declared in DDL survives the round-trip. - B3: column names are no longer force-lowercased with an originalName side-channel parameter; the declared case is stored directly in Glue. Legacy tables carrying the originalName parameter are still honored on read for backwards compatibility. - G1: partition operations are implemented against the Glue partition APIs (GetPartitions with pagination, GetPartition, CreatePartition, UpdatePartition, DeletePartition) via a new GluePartitionOperator, following the existing operator pattern and the Flink Catalog contract for exceptions (TableNotPartitionedException, PartitionNotExist, PartitionAlreadyExists, PartitionSpecInvalid). listPartitionsByFilter intentionally remains unsupported; Flink's planner falls back to listPartitions. Read path: getSchemaFromGlueTable now appends partition columns (stored at the Glue table level) to the schema so CatalogTable partition keys resolve, and tolerates a null storage descriptor. Tests: FakeGlueClient gains an in-memory partition store and persists TableInput.partitionKeys; new regression tests cover the partitioned round-trip (B2), case preservation + legacy-compat read (B3), and the full partition CRUD lifecycle incl. contract exceptions (G1). 126 tests pass; spotless clean.
fix(catalog): Persist partition metadata, preserve column case, implement partition ops
…terTable Real-AWS integration testing (us-west-2) proved that Glue lowercases column names on CreateTable, breaking the assumption introduced when the originalName column parameter write was removed: DESCRIBE lost declared case, SELECT on mixed-case columns failed to resolve, and streaming jobs against catalog-registered tables could not plan. Changes, each validated against a real Glue Data Catalog: - Store columns lowercase with the declared name in the originalName column parameter; restore it on read (round-trip now exact). - Partition columns: Glue rejects column-level parameters on partition keys (400: Parameters not supported for partition columns), so their declared case is preserved in an order-preserving table-level parameter (flink.original-partition-keys) instead. - Implement alterTable via Glue UpdateTable (was UnsupportedOperationException), preserving the original table name. - Filter the new internal parameter from user-visible table options. Verified with a 25-step real-AWS integration suite: full DDL surface (mixed-case databases/tables/columns, describe, alter, partitions add/show/drop) plus a real streaming job writing to and reading from Kinesis through source/sink tables registered in the Glue catalog, including JSON field-name case verification on the wire. 25/25 PASS. Unit tests: 126/126.
…ixes fix(catalog): Preserve column case against real Glue; implement alterTable
Real AWS Glue integration test results (design rationale for
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Purpose of the change
For example: Implements the Table API for the Kinesis Source.
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