Layer 2 — application architecture · 1,820 documents
| ID | Document | Source |
|---|---|---|
| app_invariants__d4e89875a3f3fcf8 | INVARIANT: Producers must provide deterministic sequence IDs per Partition to prevent duplicate records during retries. SHADOW: In distributed writes, network failures often mask the success of an… | — |
| app_invariants__31fd487ad05d1684 | INVARIANT: Topic-level configuration overrides must be synchronized across all log directory replicas to ensure consistency. SHADOW: When broker-wide or topic-specific configurations change, the… | — |
| app_invariants__7b254e7c01d0a05b | INVARIANT: Client-provided identifiers must be deterministic, non-empty, and adhere to structural decoding constraints. SHADOW: The system validates client identity via UUID-based decoding. Empty or… | — |
| app_invariants__d3db1c66739ac4ca | INVARIANT: Resource lifecycle and configuration state must be isolated from concurrent modifications by deduplicating and validating incoming alter-config requests. SHADOW: The system enforces… | — |
| app_invariants__5ea179f787c1e669 | INVARIANT: Resource consumption and throttling metrics must be computed against a strictly bounded window of historical activity. SHADOW: Throttle calculations rely on a quota window size and… | — |
| app_invariants__6d9440b2d5000941 | INVARIANT: Log directory failures must transition affected partitions to an offline state, preventing silent data corruption or partial write success. SHADOW: If a disk write fails during log… | — |
| app_invariants__32db47c3289d43a1 | INVARIANT: READ_COMMITTED fetches are strictly bounded by the Last Stable Offset (LSO). SHADOW: Ensures transactional isolation by preventing consumers from seeing data belonging to open or aborted… | — |
| app_invariants__9a40e400c1718c1e | INVARIANT: Leader Epochs provide monotonic fencing for all fetch and append operations. SHADOW: Prevents 'zombie' leaders or stale followers from corrupting state. Any request with an epoch lower… | — |
| app_invariants__16ec29b2eba33826 | INVARIANT: Leadership transitions (Leader to Follower) must trigger an atomic purge of the operation Purgatory. SHADOW: Operations like 'DelayedProduce' or 'DelayedFetch' are context-specific to the… | — |
| app_invariants__96803e600222b9e5 | INVARIANT: Producer sequence numbers must be contiguous and strictly increasing per Producer ID. SHADOW: Maintains deterministic log ordering. The system rejects out-of-order sequence numbers with… | — |
| app_invariants__95ff650250f3f328 | INVARIANT: Tiered Storage reads are governed by asynchronous fetch quotas and throttle-time sensors. SHADOW: Prevents remote storage (S3/GCS) latency from saturating broker I/O threads. When quotas… | — |
| app_invariants__4e767607fbde0cdb | INVARIANT: Transactional appends require synchronous partition verification with the Transaction Coordinator before log insertion. SHADOW: A 'Verification Guard' prevents 'hanging transactions' by… | — |
| app_invariants__d416343e00a078e4 | INVARIANT: High Watermark checkpoints must be persisted to local storage before a clean shutdown is acknowledged. SHADOW: The High Watermark (HW) defines the 'committed' line. Loss of this state… | — |
| app_invariants__2983f9d7ec2f63ab | INVARIANT: Metadata replication logs must remain consistent across all controller nodes and brokers during lifecycle transitions. SHADOW: The cluster relies on a unified view of state, specifically… | — |
| app_invariants__b20938da2ca5bccb | INVARIANT: Resource utilization metrics must trigger predictable throttling behavior when quotas are breached. SHADOW: Rate limiting (token buckets) is applied to prevent noisy neighbors or runaway… | — |
| app_invariants__d3db5fd53dd73019 | INVARIANT: Registration and configuration updates must be idempotent to tolerate network partitions and retries. SHADOW: During a broker or controller lifecycle transition, heartbeat and… | — |
| app_invariants__c7e27ae8d2b635bb | INVARIANT: During KRaft node initialization, the node's configured identifier and the cluster identifier must precisely match the values persisted in its metadata log directories. SHADOW: Failure to… | — |
| app_invariants__e449a7eab23e8b20 | INVARIANT: Each active log directory must be exclusively locked by a single Kafka process to prevent concurrent writes and ensure data integrity. SHADOW: Without exclusive access, multiple processes… | — |
| app_invariants__6a981c10543abd16 | INVARIANT: For any given topic partition, the leader epoch must strictly and monotonically increase with each new leader election, and all records appended to that partition must be stamped with the… | — |
| app_invariants__bcf71aa7694e3e96 | INVARIANT: When enabled for a producer (explicitly or via transactions), the Kafka broker must guarantee that duplicate produce requests for the same batch are detected and prevented from… | — |
| app_invariants__075a1bc9c736e8f7 | INVARIANT: All client requests are subjected to dynamically configured connection and request rate quotas (per client ID, user, or IP address), and any request exceeding its allocated quota must be… | — |
| app_invariants__1d047aff54725f40 | INVARIANT: Every client-initiated operation must be validated against the active Access Control List (ACL) policy for the requested resource and operation, and unauthorized requests must be… | — |
| app_invariants__14a57e4e0ac56831 | INVARIANT: All configured metadata log directories must be available and readable for a KRaft node to start and participate in the quorum, guaranteeing access to the foundational cluster… | — |
| app_invariants__dc04e21988f31f90 | INVARIANT: For transactional producers, all operations (produce, offset commit) within a transaction across multiple partitions, topics, and consumer groups are committed or aborted as a single,… | — |
| app_invariants__89662448ec1c89f9 | INVARIANT: Authentication state is a transient barrier that must allow for logical recovery upon credential synchronization without requiring process-level restarts. SHADOW: In… | — |
| app_invariants__e9ff572b4d5b1e4d | INVARIANT: Resource consumption is governed by a multi-dimensional quota hierarchy where throughput is throttled via artificial latency to maintain cluster-wide stability. SHADOW: BaseQuotaTest and… | — |
| app_invariants__071a5c92ecc1c45b | INVARIANT: Transactional visibility is binary; records produced within a transaction remain logically non-existent to committed-read consumers until the commit marker is finalized in the… | — |
| app_invariants__7e34de9fcce4946f | INVARIANT: The cluster's 'Source of Truth' is maintained through a replicated metadata log where snapshots provide a point-in-time recovery baseline for the quorum. SHADOW: RaftClusterSnapshotTest… | — |
| app_invariants__f3711032ead485da | INVARIANT: Consumer group membership is a durable state that requires explicit signals (LeaveGroup) or heartbeat timeouts to trigger partition redistribution. SHADOW: PlaintextConsumerTest shows… | — |
| app_invariants__168b5dc96965fa45 | INVARIANT: Read-load distribution can be offloaded to followers only when the follower's log state is sufficiently caught up to the leader's high-water mark. SHADOW: FetchFromFollowerIntegrationTest… | — |
| app_invariants__380c9a57099b7271 | INVARIANT: Authorization is a mandatory, non-bypassable gate where every operation must map a Principal to a Resource via an explicit Allow/Deny binding. SHADOW: EndToEndAuthorizationTest and… | — |
| app_invariants__24f8526eeabad057 | INVARIANT: Log integrity is maintained through physical segment validation, where index files must strictly map to log offsets to prevent data corruption during retrieval. SHADOW: DumpLogSegments… | — |
| app_invariants__eb7ac6edb8cd2e88 | INVARIANT: A client tool must connect to the cluster via a single, unambiguous authority; it cannot simultaneously target both the data plane (brokers) and the control plane (controllers) for… | — |
| app_invariants__e319d350c9705254 | INVARIANT: A batch operation request must contain a unique set of targets; duplicate entries are rejected to enforce explicit and unambiguous intent. SHADOW: This prevents user error where the same… | — |
| app_invariants__04eabb37c27abd47 | INVARIANT: Quorum management operations must rigorously validate a node's configured identity and role before execution, rejecting actions on nodes that do not explicitly identify as… | — |
| app_invariants__051163f552904692 | INVARIANT: A stateful stream processing application's state cannot be reset while the application is active. SHADOW: This prevents race conditions and guarantees the atomicity of the reset… | — |
| app_invariants__88fb9d3307ab3747 | INVARIANT: The canonical state of a message range is derived by merging overlapping or contiguous state-change batches, where a newer batch's state supersedes an older one's within their intersecting… | — |
| app_invariants__e9a252db08fb8f2d | INVARIANT: A state log can only be safely truncated up to the lowest offset still referenced by any active stateful entity, ensuring no essential history is prematurely deleted. SHADOW: This… | — |
| app_invariants__20861bf28abe7914 | INVARIANT: Critical cluster operations like leader election must be invoked with a single, unambiguous target scope, preventing conflicting or incomplete specifications. SHADOW: This design forces… | — |
| app_invariants__2febb3809fa9858b | INVARIANT: The observable output of a command-line interface must be captured and isolated during testing to validate its behavior without interfering with the test runner's own output. SHADOW: This… | — |
| app_invariants__bd963eec86abee82 | INVARIANT: The rate of operations is constrained by ensuring that no more than a configured maximum number of operations can be initiated within a fixed time window. If the limit is reached, the… | — |
| app_invariants__06ecb6196b901351 | INVARIANT: A batch of source records and their corresponding source offsets are committed as a single, indivisible unit using a Kafka transaction. The transaction encapsulates both the production of… | — |
| app_invariants__5c1bc96a510bb1e5 | INVARIANT: The in-memory state of a system component, such as consumer group offsets, is reconstructed by sequentially reading and applying every record from a durable, append-only log. The final… | — |
| app_invariants__843b4a3968c77590 | INVARIANT: Given a stable set of consumer group members, their subscriptions, and topic metadata, a partition assignment algorithm deterministically calculates a non-overlapping distribution of… | — |
| app_invariants__4893c149aa10ee0b | INVARIANT: A data record is processed through an ordered, multi-stage pipeline of transformations. Each stage may conditionally apply its logic based on a predicate. The entire chain is governed by a… | — |
| app_invariants__bf411279d84c67f4 | INVARIANT: Offset commit operations must be idempotent and strictly ordered per partition. SHADOW: Ensures that re-processing or retrying offset commits does not result in data duplication or loss,… | — |
| app_invariants__8c68d350663cba26 | INVARIANT: Distributed state transitions (rebalancing) require a global view of configuration and task assignment. SHADOW: Prevents split-brain scenarios where multiple workers attempt to manage the… | — |
| app_invariants__f31f78d83eb4cc78 | INVARIANT: Connector configuration updates must be applied atomically across the cluster. SHADOW: Guarantees that all workers in a cluster operate on the same version of a connector's configuration,… | — |
| app_invariants__2337c374bff883cf | INVARIANT: Task execution must respect backpressure signals from the underlying consumer/producer buffers. SHADOW: Prevents memory exhaustion and system instability by throttling task processing… | — |
| app_invariants__285e203ca207eb63 | INVARIANT: Task status and offset persistence must be decoupled from the volatile memory of the worker. SHADOW: Enables fault tolerance by ensuring that task progress and health status survive… | — |