Page Information

    Page: FLIP-9: Trigger DSL
    Page: FLIP-10: Unify Checkpoints and Savepoints
    Page: FLIP-11: Table API Stream Aggregations
    Page: FLIP-12: Asynchronous I/O Design and Implementation
    Page: FLIP-13: Side Outputs in Flink
    Page: FLIP-14: crossGroup Operator
    Page: FLIP-15: Redesign Iterations (Scoping, Flow Control and Termination)
    Page: FLIP-16: Loop Fault Tolerance
    Page: FLIP-17: Side Inputs for DataStream API
    Page: FLIP-18: Code Generation for improving sorting performance
    Page: FLIP-19: Improved BLOB storage architecture
    Page: FLIP-20: Integration of SQL and CEP
    Page: FLIP-21: Improve object Copying/Reuse Mode for Streaming Runtime
    Page: FLIP-22: Eager State Declaration
    Page: FLIP-23 - Model Serving
    Page: FLIP-24: SQL Client
    Page: FLIP-25: Support User State TTL Natively
    Page: FLIP-26: Service Authorization (SSL Mutual Authentication)
    Page: FLIP-27: Refactor Source Interface
    Page: FLIP-28: Long-term goal of making flink-table Scala-free
    Page: FLIP-29: Support map/flatMap/aggregate/flatAggregate on TableAPI
    Page: FLIP-30: Unified Catalog APIs
    Page: FLIP-31: Pluggable Shuffle Service
    Page: FLIP-32: Restructure flink-table for future contributions
    Page: FLIP-33: Standardize Connector Metrics
    Page: FLIP-34: Terminate/Suspend Job with Savepoint
    Page: FLIP-35: Support Chinese Documents and Website
    Page: FLIP-36: Support Interactive Programming in Flink
    Page: FLIP-37: Rework of the Table API Type System
    Page: FLIP-38: Python Table API
    Page: FLIP-39: Flink ML pipeline and ML libs
    Page: FLIP-40: Flink Driver
    Page: FLIP-41: Unify Binary format for Keyed State
    Page: FLIP-42: Rework Flink Documentation
    Page: FLIP-43: State Processor API
    Page: FLIP-44: Support Local Aggregation in Flink
    Page: FLIP-45: Reinforce Job Stop Semantic
    Page: FLIP-46: Graceful Shutdown Handling by UDFs
    Page: FLIP-47: Checkpoints vs. Savepoints
    Page: FLIP-48: Pluggable Intermediate Result Storage
    Page: FLIP-49: Unified Memory Configuration for TaskExecutors
    Page: FLIP-50: Spill-able Heap Keyed State Backend
    Page: FLIP-51: Rework of the Expression Design
    Page: FLIP-52 : Remove legacy Program interface.
    Page: FLIP-53: Fine Grained Operator Resource Management
    Page: FLIP-54: Evolve ConfigOption and Configuration
    Page: FLIP-55: Introduction of a Table API Java Expression DSL
    Page: FLIP-56: Dynamic Slot Allocation
    Page: FLIP-57: Rework FunctionCatalog
    Page: FLIP-58: Flink Python User-Defined Stateless Function for Table
    Page: FLIP-59: Enable execution configuration from Configuration object
    Page: FLIP-60: Restructure the Table API & SQL documentation
    Page: FLIP-61: Simplify Flink's cluster level RestartStrategy configuration
    Page: FLIP-62: Set default restart delay for FixedDelay- and FailureRateRestartStrategy to 1s
    Page: FLIP-63: Rework table partition support
    Page: FLIP-64: Support for Temporary Objects in Table module
    Page: FLIP-66: Support Time Attribute in SQL DDL
    Page: FLIP-67: Cluster partitions lifecycle
    Page: FLIP-68: Extend Core Table System with Pluggable Modules
    Page: FLIP-69: Flink SQL DDL Enhancement
    Page: FLIP-70: Flink SQL Computed Column Design
    Page: FLIP-71: E2E View support in FLINK SQL
    Page: FLIP-72: Introduce Pulsar Connector
    Page: FLIP-73: Introducing Executors for job submission
    Page: FLIP-74: Flink JobClient API
    Page: FLIP-75: Flink Web UI Improvement Proposal
    Page: FLIP-76: Unaligned Checkpoints
    Page: FLIP-77: Introduce ConfigOptions with Data Types
    Page: FLIP-78: Flink Python UDF Environment and Dependency Management
    Page: FLIP-79: Function DDL Support
    Page: FLIP-65: New type inference for Table API UDFs
    Page: FLIP-80: Expression String Serializable and Deserializable
    Page: FLIP-81: Executor-related new ConfigOptions.
    Page: FLIP-82: Use real per-job mode for YARN per-job attached execution
    Page: FLIP-83: Flink End-to-end Performance Testing Framework
    Page: FLIP-84: Improve & Refactor API of TableEnvironment & Table
    Page: FLIP-85: Flink Application Mode
    Page: FLIP-86: Improve Connector Properties
    Page: FLIP-87: Primary key constraints in Table API
    Page: FLIP-88: PyFlink User-Defined Function Resource Management
    Page: FLIP-89: Improve usability of TableConfig
    Page: FLIP-90: Support SQL 2016-2017 JSON functions in Table API & SQL
    Page: FLIP-91: Support SQL Gateway
    Page: FLIP-92: Add N-Ary Stream Operator in Flink
    Page: FLIP-93: JDBC catalog and Postgres catalog
    Page: FLIP-94: Rework 2-phase commit abstractions
    Page: FLIP-95: New TableSource and TableSink interfaces
    Page: FLIP-96: Support Python ML Pipeline API
    Page: FLIP-97: Support Scalar Vectorized Python UDF in PyFlink
    Page: FLIP-98: Better Back Pressure Detection
    Page: FLIP-99: Make Max Exception Configurable
    Page: FLIP-100: Add Attempt Information
    Page: FLIP-101: Add Pending Slots Detail
    Page: FLIP-102: Add More Metrics to TaskManager
    Page: FLIP-103: Better TM/JM Log Display
    Page: FLIP-104: Add More Metrics to Jobmanager
    Page: FLIP-105: Support to Interpret Changelog in Flink SQL (Introducing Debezium and Canal Format)
    Page: FLIP-106: Support Python UDF in SQL Function DDL
    Page: FLIP-107: Handling of metadata in SQL connectors
    Page: FLIP-108: Add GPU support in Flink
    Page: FLIP-109: Improve Hive dependencies out-of-box experience
    Page: FLIP-110: Support LIKE clause in CREATE TABLE
    Page: FLIP-111: Docker image unification
    Page: FLIP-112: Support User-Defined Metrics in Python UDF
    Page: FLIP-113: Supports Dynamic Table Options for Flink SQL
    Page: FLIP-114: Support Python UDF in SQL Client
    Page: FLIP-115: Filesystem connector in Table
    Page: FLIP-116: Unified Memory Configuration for Job Managers
    Page: FLIP-117: HBase catalog
    Page: FLIP-118: Improve Flink’s ID system
    Page: FLIP-119: Pipelined Region Scheduling
    Page: FLIP-120: Support conversion between PyFlink Table and Pandas DataFrame
    Page: FLIP-121: Support Cython Optimizing Python User Defined Function
    Page: FLIP-122: New Connector Property Keys for New Factory
    Page: FLIP-123: DDL and DML compatibility for Hive connector
    Page: FLIP-124: Add open/close and Collector to (De)SerializationSchema
    Page: FLIP-125: Confluent Schema Registry Catalog
    Page: FLIP-126: Unify (and separate) Watermark Assigners
    Page: FLIP-127: Support Elasticsearch Source Connector
    Page: FLIP-128: Enhanced Fan Out for AWS Kinesis Consumers
    Page: FLIP-129: Refactor Descriptor API to register connectors in Table API
    Page: FLIP-130: Support Python DataStream API (Stateless part)
    Page: FLIP-131: Consolidate the user-facing Dataflow SDKs/APIs (and deprecate the DataSet API)
    Page: FLIP-132: Temporal Table DDL and Temporal Table Join
    Page: FLIP-133: Rework PyFlink Documentation
    Page: FLIP-134: Batch execution for the DataStream API
    Page: FLIP-135: Approximate Task-Local Recovery
    Page: FLIP-136: Improve interoperability between DataStream and Table API
    Page: FLIP-137: Support Pandas UDAF in PyFlink
    Page: FLIP-138: Declarative Resource management
    Page: FLIP-139: General Python User-Defined Aggregate Function Support on Table API
    Page: FLIP-140: Introduce batch-style execution for bounded keyed streams
    Page: FLIP-141: Intra-Slot Managed Memory Sharing
    Page: FLIP-142: Disentangle StateBackends from Checkpointing
    Page: FLIP-143: Unified Sink API
    Page: FLIP-144: Native Kubernetes HA for Flink
    Page: FLIP-145: Support SQL windowing table-valued function
    Page: FLIP-146: Improve new TableSource and TableSink interfaces
    Page: FLIP-147: Support Checkpoints After Tasks Finished
    Page: FLIP-148: Introduce Sort-Based Blocking Shuffle to Flink
    Page: FLIP-149: Introduce the upsert-kafka Connector
    Page: FLIP-150: Introduce Hybrid Source
    Page: FLIP-151: Incremental snapshots for heap-based state backend
    Page: FLIP-152: Hive Query Syntax Compatibility
    Page: FLIP-153: Support state access in Python DataStream API
    Page: FLIP-154: SQL Implicit Type Coercion
    Page: FLIP-155: Introduce a few convenient operations in Table API
    Page: FLIP-156: Runtime Interfaces for Fine-Grained Resource Requirements
    Page: FLIP-157: Migrate Flink Documentation from Jekyll to Hugo
    Page: FLIP-158: Generalized incremental checkpoints
    Page: FLIP-159: Reactive Mode
    Page: FLIP-160: Adaptive Scheduler
    Page: FLIP-161: Configuration through envrionment variables
    Page: FLIP-162: Consistent Flink SQL time function behavior
    Page: FLIP-163: SQL Client Improvements
    Page: FLIP-164: Improve Schema Handling in Catalogs
    Page: FLIP-165: Operator's Flame Graphs
    Page: FLIP-166: Pinot Connector
    Page: FLIP-167: Watermarks for Sink API
    Page: FLIP-168: Speculative Execution for Batch Job
    Page: FLIP-169: DataStream API for Fine-Grained Resource Requirements
    Page: FLIP-170: Adding Checkpoint Rejection Mechanism
    Page: FLIP-171: Async Sink
    Page: FLIP-172: Support custom transactional.id prefix in FlinkKafkaProducer
    Page: FLIP-173: Support DAG of algorithms (Flink ML)
    Page: FLIP-174: Improve the WithParam interface (Flink ML)
    Page: FLIP-175: Compose Estimator/Model/AlgoOperator from DAG of Estimator/Model/AlgoOperator (Flink ML)
    Page: FLIP-176: Unified Iteration to Support Algorithms (Flink ML)
    Page: FLIP-181: Custom netty HTTP request inbound/outbound handlers
    Page: FLIP-177: Extend Sink API
    Page: FLIP-178 Support Advanced Function DDL
    Page: FLIP-179: Expose Standardized Operator Metrics
    Page: FLIP-180: Adjust StreamStatus and Idleness definition
    Page: FLIP-183: Dynamic buffer size adjustment
    Page: FLIP-182: Support watermark alignment of FLIP-27 Sources
    Page: FLIP-184: Refine ShuffleMaster lifecycle management for pluggable shuffle service framework
    Page: FLIP-185: Shorter heartbeat timeout and interval default values
    Page: FLIP-186: Refactor DataStreamUtils#reinterpretAsKeyedStream
    Page: FLIP-187: Adaptive Batch Scheduler
    Page: FLIP-188: Introduce Built-in Dynamic Table Storage
    Page: FLIP-189: SQL Client Usability Improvements
    Page: FLIP-190: Support Version Upgrades for Table API & SQL Programs
    Page: FLIP-191: Extend unified Sink interface to support small file compaction
    Page: FLIP-192: Support withBroadcast in DataStream (FlinkML)
    Page: FLIP-193: Snapshots ownership
    Page: FLIP-194: Introduce the JobResultStore
    Page: FLIP-195: Improve the name and structure of vertex and operator name for job
    Page: FLIP-196: Source API stability guarantees
    Page: FLIP-197: API stability graduation process
    Page: FLIP-198: Working directory for Flink processes
    Page: FLIP-199: Change some default config values of blocking shuffle for better usability
    Page: FLIP-200: Support Multiple Rule and Dynamic Rule Changing (Flink CEP)
    Page: FLIP-201: Persist local state in working directory
    Page: [DRAFT] FLIP-202: Introduce ClickHouse Connector
    Page: FLIP-203: Incremental savepoints
    Page: FLIP-204: Introduce Hash Lookup Join
    Page: FLIP-205: Support Cache in DataStream for Batch Processing
    Page: FLIP-206: Support PyFlink Runtime Execution in Thread Mode
    Page: FLIP-207: Flink backward and forward compatibility
    Page: FLIP-208: Add RecordEvaluator to dynamically stop source based on de-serialized records
    Page: FLIP-209: Support to run multiple shuffle plugins in one session cluster
    Page: FLIP-210: Change logging level dynamically at runtime
    Page: FLIP-211: Kerberos delegation token framework
    Page: FLIP-212: Introduce Flink Kubernetes Operator
    Page: FLIP-213: TaskManager's Flame Graphs
    Page: FLIP-214: Support Advanced Function DDL
    Page: FLIP-215: Introduce FlinkSessionJob CRD in the kubernetes operator
    Page: FLIP-216: Introduce pluggable dialect and plan for migrating Hive dialect
    Page: FLIP-217: Support watermark alignment of source splits
    Page: FLIP-218: Support SELECT clause in CREATE TABLE(CTAS)
    Page: FLIP-219: Revised Format API
    Page: FLIP-220: Binary Sorted State
    Page: FLIP-221: Abstraction for lookup source cache and metric
    Page: FLIP-222: Support full job lifecycle statements in SQL client
    Page: FLIP-223: Support HiveServer2 Endpoint
    Page: FLIP-224: Blocklist Mechanism
    Page: FLIP-225: Implement standalone mode support in the kubernetes operator
    Page: FLIP-226: Introduce Schema Evolution on Table Store
    Page: FLIP-227: Support overdraft buffer
    Page: FLIP-228: Support Within between events in CEP Pattern
    Page: FLIP-229: Introduces Join Hint for Flink SQL Batch Job
    Page: FLIP-231: Introduce SupportsStatisticReport to support reporting statistics from source connectors
    Page: FLIP-232: Add Retry Support For Async I/O In DataStream API
    Page: FLIP-233: Introduce HTTP Connector
    Page: FLIP-234: Support Retryable Lookup Join To Solve Delayed Updates Issue In External Systems
    Page: FLIP-235: Hybrid Shuffle Mode
    Page: FLIP-236: Asynchronous Job Submission
    Page: FLIP-237: Thrift Format Support
    Page: FLIP-238: Introduce FLIP-27-based Data Generator Source
    Page: FLIP-239: Port JDBC Connector to FLIP-27&FLIP-143
    Page: FLIP-240: Introduce "ANALYZE TABLE" Syntax
    Page: FLIP-241: Completed Jobs Information Enhancement
    Page: FLIP-242: Introduce configurable RateLimitingStrategy for Async Sink
    Page: FLIP-243: Dedicated Opensearch connectors
    Page: FLIP-244: Support IterativeCondition with AggregateFunction in CEP Pattern
    Page: FLIP-245: Source Supports Speculative Execution For Batch Job
    Page: FLIP-246: Dynamic Kafka Source (originally Multi Cluster Kafka Source)
    Page: FLIP-247: Bulk fetch of table and column statistics for given partitions
    Page: FLIP-248: Introduce dynamic partition pruning
    Page: FLIP-249: Flink Web UI Enhancement for Speculative Execution
    Page: FLIP-250: Support Customized Kubernetes Schedulers Proposal
    Page: FLIP-251: Support collecting arbitrary number of streams
    Page: FLIP-252: Amazon DynamoDB Sink Connector
    Page: FLIP-254: Redis Streams Connector
    Page: FLIP-255: Introduce pre-aggregated merge to Table Store
    Page: FLIP-256: Support Job Dynamic Parameter With Flink Rest Api
    Page: FLIP-257: Flink JobManager Process Split
    Page: FLIP-258: Guarantee binary compatibility for Public/-Evolving APIs between patch releases
    Page: FLIP-259: Use StatefulSet instead of Deployment to deploy Flink with standalone mode on kubernetes
    Page: FLIP-260: Expose Finish Method For TableFunction
    Page: FLIP-261: Support DEFAULT Constraint In Sql DDL
    Page: FLIP-262: Introduce MongoDB connector
    Page: FLIP-263: Improve resolving schema compatibility
    Page: FLIP-264: Extract CoordinatorContextBase
    Page: FLIP-265 Deprecate and remove Scala API support
    Page: FLIP-266: Simplify network memory configurations for TaskManager
    Page: FLIP 267: Iceberg Connector
    Page: FLIP-268: Kafka Rack Awareness
    Page: FLIP-269: Properly Handling the Processing Timers on Job Termination
    Page: FLIP-270: Repeatable Cleanup of Checkpoints
    Page: FLIP-271: Autoscaling
    Page: FLIP-272: Generalized delegation token support
    Page: FLIP-273: Improve the Catalog API to Support ALTER TABLE syntax
    Page: FLIP-274: Introduce metric group for OperatorCoordinator
    Page: FLIP-275: Support Remote SQL Client Based on SQL Gateway
    Page: FLIP-276: Data Consistency of Streaming and Batch ETL in Flink and Table Store
    Page: FLIP-277: Native GlueCatalog Support in Flink
    Page: FLIP-278: HybridSource Table & Sql Api Implementation
    Page: FLIP-279 Unified the max display column width for SqlClient and Table APi in both Streaming and Batch execMode
    Page: FLIP-280: Introduce EXPLAIN PLAN_ADVICE to provide SQL advice
    Page: FLIP-281 Sink Supports Speculative Execution For Batch Job
    Page: FLIP-282: Introduce Delete & Update API
    Page: FLIP-283: Use adaptive batch scheduler as default scheduler for batch jobs
    Page: FLIP-284 : Making AsyncSinkWriter Flush triggers adjustable
    Page: FLIP-285: Refactoring LeaderElection to make Flink support multi-component leader election out-of-the-box
    Page: FLIP-286: Fix the API stability/scope annotation inconsistency in AbstractStreamOperator
    Page: FLIP-287: Extend Sink#InitContext to expose TypeSerializer, ObjectReuse and JobID
    Page: FLIP-288: Enable Dynamic Partition Discovery by Default in Kafka Source
    Page: FLIP-289: Support online inference (Flink ML)
    Page: FLIP-290 Operator state compression
    Page: FLIP-291: Externalized Declarative Resource Management
    Page: FLIP-292: Enhance COMPILED PLAN to support operator-level state TTL configuration
    Page: FLIP-293: Introduce Flink Jdbc Driver For Sql Gateway
    Page: FLIP-294: Support Customized Catalog Modification Listener
    Page: FLIP-295: Support lazy initialization of catalogs and persistence of catalog configurations
    Page: FLIP-296: Extend watermark-related features for SQL
    Page: FLIP-297: Improve Auxiliary Sql Statements
    Page: FLIP-298: Unifying the Implementation of SlotManager
    Page: FLIP-299: Pub/Sub Lite Connector
    Page: FLIP-300: Add targetColumns to DynamicTableSink#Context to solve the null overwrite problem of partial-insert
    Page: FLIP-301: Hybrid Shuffle supports Remote Storage
    Page: FLIP-302: Support TRUNCATE TABLE statement in batch mode
    Page: FLIP-303: Support REPLACE TABLE AS SELECT statement
    Page: FLIP-304: Pluggable Failure Enrichers
    Page: FLIP-305: Support atomic for CREATE TABLE AS SELECT(CTAS) statement
    Page: FLIP-306: Unified File Merging Mechanism for Checkpoints
    Page: FLIP-307: Flink Connector Redshift
    Page: FLIP-308: Support Time Travel
    Page: FLIP-309: Support using larger checkpointing interval when source is processing backlog
    Page: [WIP]FLIP-310:use VARINT and ZIGZAG to encode ROWDATA in state
    Page: FLIP-311: Support Call Stored Procedure
    Page: FLIP 312: Add Yarn ACLs to Flink Containers
    Page: FLIP-312: Prometheus Sink Connector
    Page: FLIP-313: Add support of User Defined AsyncTableFunction
    Page: FLIP-314: Support Customized Job Lineage Listener
    Page: FLIP-315 Support Operator Fusion Codegen for Flink SQL
    Page: FLIP-316: Support application mode for SQL Gateway
    Page: FLIP-317: Upgrade Kryo from 2.24.0 to 5.5.0
    Page: FLIP-318: Support Dynamic Options Provider For Tables In Gateway
    Page: FLIP-319: Integrate with Kafka's Support for Proper 2PC Participation (KIP-939)
    Page: FLIP-320: Support multiple Flink versions in each Java library release (Flink ML)
    Page: FLIP-321: Introduce an API deprecation process
    Page: FLIP-322 Cooldown period for adaptive scheduler
    Page: FLIP-323: Support Attached Execution on Flink Application Completion for Batch Jobs
    Page: FLIP-324: Introduce Runtime Filter for Flink Batch Jobs
    Page: FLIP-326: Enhance Watermark to Support Processing-Time Temporal Join
    Page: FLIP-327: Support switching from batch to stream mode to improve throughput when processing backlog data
    Page: FLIP-328: Allow source operators to determine isProcessingBacklog based on watermark lag
    Page: FLIP-329: Add operator attribute to specify support for object-reuse
    Page: FLIP-330: Support specifying record timestamp requirement
    Page: FLIP-331: Support EndOfStreamTrigger and isOutputOnlyAfterEndOfStream operator attribute to optimize task deployment
    Page: [WIP]FLIP-332: Introduce the concept of state self-sustained
    Page: FLIP-333: Redesign Apache Flink website
    Page: FLIP-334 : Decoupling autoscaler and kubernetes and support the Standalone Autoscaler
    Page: FLIP-335: Removing Flink's Time classes
    Page: FLIP-336: Remove "now" timestamp field from REST responses
    Page: FLIP-337: Remove JarRequestBody#programArgs
    Page: FLIP-338: Remove terminationMode query parameter from job cancellation REST endpoint
    Page: FLIP-339: Adaptive Channel selection for partitioner
    Page: FLIP-340: Remove rescale REST endpoint
    Page: FLIP-341: Remove MetricGroup methods accepting an int as a name
    Page: FLIP-342: Remove brackets around keys returned by MetricGroup#getAllVariables
    Page: FLIP-343: Remove parameter in WindowAssigner#getDefaultTrigger()
    Page: FLIP-344: Remove parameter in RichFunction#open
    Page: FLIP-345: Add support for dynamic time window function
    Page: FLIP-346: Deprecate ManagedTable related APIs
    Page: FLIP-347: Remove IOReadableWritable serialization in Path
    Page: FLIP-348: Make expanding behavior of virtual metadata columns configurable
    Page: FLIP-349: Move RocksDB statebackend classes to o.a.f.state.rocksdb package
    Page: FLIP-350: Remove query parameters from Jar handlers
    Page: FLIP-351: REST API normalizes +/-Inf / NaN to 0
    Page: FLIP-352: Use camelCast for all REST API fields/parameters
    Page: FLIP-354: Removal of deprecated exception history fields in REST API
    Page: FLIP 355: Add parent dir of files to classpath using yarn.provided.lib.dirs
    Page: FLIP-356: Support Nested Fields Filter Pushdown
    Page: FLIP-357: Deprecate Iteration API of DataStream
    Page: FLIP-358: flink-avro enhancement and cleanup
    Page: FLIP-359: ignore-unclaimed-state supports the state inside of operator
    Page: FLIP-360: Merging the ExecutionGraphInfoStore and the JobResultStore into a single component CompletedJobStore
    Page: FLIP-361: Improve GC Metrics
    Page: FLIP-362: Support minimum resource limitation
    Page: FLIP-363: Unify the Representation of TaskManager Location in REST API and Web UI
    Page: FLIP-364: Improve the exponential-delay restart-strategy
    Page: FLIP-365: Introduce flush interval to adjust the interval of emitting results with idempotent semantics
    Page: FLIP-366: Support standard YAML for FLINK configuration
    Page: FLIP-367: Support Setting Parallelism for Table/SQL Sources
    Page: FLIP-368: Reorganize the exceptions thrown in state interfaces
    Page: FLIP-369: Introduce LRU cache to accelerate state backend access
    Page: FLIP-370: Support Balanced Tasks Scheduling
    Page: FLIP-371: Provide initialization context for Committer creation in TwoPhaseCommittingSink
    Page: FLIP-372: Enhance and synchronize Sink API to match the Source API
    Page: FLIP-373: Support Configuring Different State TTLs using SQL Hint
    Page: FLIP-374: Adding a separate configuration for specifying Java Options of the SQL Gateway
    Page: FLIP-375: Built-in cross-platform powerful java profiler
    Page: FLIP-376: Add DISTRIBUTED BY clause
    Page: FLIP-377: Support fine-grained configuration to control filter push down for Table/SQL Sources
    Page: FLIP-378: Support Avro timestamp with local timezone
    Page: FLIP-379: Dynamic source parallelism inference for batch jobs
    Page: FLIP-380: Support Full Partition Processing On Non-keyed DataStream
    Page: FLIP-381: Deprecate configuration getters/setters that return/set complex Java objects
    Page: FLIP-382: Unify the Provision of Diverse Metadata for Context-like APIs
    Page: FLIP-383: Support Job Recovery from JobMaster Failures for Batch Jobs
    Page: FLIP-384: Introduce TraceReporter and use it to create checkpointing and recovery traces
    Page: FLIP-385: Add OpenTelemetryTraceReporter and OpenTelemetryMetricReporter
    Page: FLIP-386: Support adding custom metrics in Recovery Spans
    Page: FLIP-387: Support named parameters for functions and call procedures
    Page: FLIP-388: Support Dynamic Logger Level Adjustment
    Page: FLIP-389 Annotate SingleThreadFetcherManager as PublicEvolving.
    Page: FLIP-390: Support System out and err to be redirected to LOG or discarded
    Page: FLIP-391: Deprecate RuntimeContext#getExecutionConfig
    Page: FLIP-392: Deprecate the Legacy Group Window Aggregation
    Page: FLIP-393: Make QueryOperations SQL serializable
    Page: [WIP] FLIP-394: Add Metrics for Connector Agnostic Autoscaling
    Page: FLIP-395: Deprecate Global Aggregator Manager
    Page: FLIP-396: Trial to test GitHub Actions as an alternative for Flink's current Azure CI infrastructure
    Page: FLIP-397: Add config options for administrator JVM options
    Page: FLIP-398: Improve Serialization Configuration And Usage In Flink
    Page: FLIP-399: Flink Connector Doris
    Page: FLIP-400: AsyncScalarFunction for asynchronous scalar function support
    Page: FLIP-401: REST API JSON response deserialization unknown field tolerance
    Page: FLIP-402: Extend ZooKeeper Curator configurations
    Page: FLIP-403 High Availability Services for OLAP Scenarios
    Page: FLIP-404: Create a Redis HyperLogLog Connector for Flink
    Page: FLIP-405: Migrate string configuration key to ConfigOption
    Page: FLIP-406: Reorganize State & Checkpointing & Recovery Configuration
    Page: FLIP-407: Improve Flink Client performance in interactive scenarios
    Page: FLIP-408: [Umbrella] Introduce DataStream API V2
    Page: FLIP-409: DataStream V2 Building Blocks: DataStream, Partitioning and ProcessFunction
    Page: FLIP-410: Config, Context and Processing Timer Service of DataStream API V2
    Page: FLIP-411: Chaining-agnostic Operator ID generation for improved state compatibility on parallelism change
    Page: FLIP-412: Add the time-consuming span of each stage when starting the Flink job to TraceReporter
    Page: FLIP-413: Enable unaligned checkpoints by default
    Page: FLIP-414: Support Retry Mechanism in RocksDBStateDataTransfer
    Page: FLIP-415: Introduce a new join operator to support minibatch
    Page: FLIP-416: Deprecate and remove the RestoreMode#LEGACY
    Page: FLIP-417: Expose JobManagerOperatorMetrics via REST API
    Page: FLIP-418: Show data skew score on Flink Dashboard
    Page: FLIP-419: Optimize multi-sink query plan generation
    Page: FLIP-420: Add API annotations for RocksDB StateBackend user-facing classes
    Page: FLIP-421: Support Custom Conversion for LogicalTypes
    Page: [WIP] FLIP-422: Add option to control the default partitioner when the parallelism of upstream and downstream operator does not match
    Page: FLIP-423: Disaggregated State Storage and Management (Umbrella FLIP)
    Page: FLIP-424: Asynchronous State APIs
    Page: FLIP-425: Asynchronous Execution Model
    Page: FLIP-426: Grouping Remote State Access
    Page: FLIP-427: ForSt - Disaggregated state Store
    Page: FLIP-428: Fault Tolerance/Rescale Integration for Disaggregated State
    Page: [WIP]FLIP-429: Local Disk as a Secondary Cache for Disaggregated State
    Page: [WIP]FLIP-430: Remote Compaction For Disaggregated State
    Page: [WIP]FLIP-431: Metrics For Disaggregated State
    Page: [WIP]FLIP-432: TM State Ownership for Disaggregated State & Faster Checkpoint or Recovery
    Page: FLIP-433: State Access on DataStream API V2
    Page: FLIP-434: Support optimizations for pre-partitioned data sources
    Page: FLIP-435: Introduce a New Materialized Table for Simplifying Data Pipelines
    Page: FLIP-436: Introduce Catalog-related Syntax
    Page: FLIP-437: Support ML Models in Flink SQL
    Page: FLIP-438: Amazon SQS Sink Connector
    Page: FLIP-439: Externalize Kudu Connector from Bahir
    Page: [WIP] FLIP-440: User-defined Polymorphic Table Functions
    Page: FLIP-441: Show the JobType and remove Execution Mode on Flink WebUI
    Page: FLIP-442: General Improvement to Configuration for Flink 2.0
    Page: FLIP-443: Interruptible timers firing
    Page: FLIP-444: Native file copy support
    Page: FLIP-445: Support dynamic parallelism inference for HiveSource
    Page: FLIP-446: Kubernetes Operator State Snapshot CRD
    Page: FLIP-447: Upgrade FRocksDB from 6.20.3 to 8.10.0
    Page: FLIP-448: Introduce Pluggable Workflow Scheduler Interface for Materialized Table
    Page: FLIP-448: Add sub-task spans to TraceReporter for checkpointing
    Page: FLIP-449: Reorganization of flink-connector-jdbc
    Page: FLIP-450: Improve Runtime Configuration for Flink 2.0
    Page: FLIP-451: Introduce timeout configuration to AsyncSink API
    Page: FLIP-452: Allow Skipping Invocation of Function Calls While Constant-folding
    Page: FLIP-453: Promote Unified Sink API V2 to Public and Deprecate SinkFunction
    Page: FLIP-454: New Apicurio Avro format