Elasticsearch Errors

This error occurs when Elasticsearch fails to process one or more operations in a bulk request. The bulk API allows multiple index, create, update, and delete operations in a single request, but individual items can fail due to document conflicts, missing indices, permission issues, or malformed data.

This error occurs when attempting to sort by a field that has no mapping defined in the Elasticsearch index. The field either doesn't exist, hasn't been indexed yet, or is defined as a text type which cannot be used for sorting.

This error occurs when Elasticsearch attempts to execute an ingest pipeline but no nodes in the cluster have the ingest role enabled. The cluster needs at least one ingest node to process pipeline requests.

This error occurs when Elasticsearch cannot find the specified index during a search, index, or other operation. The index may have been deleted, never created, or you might be using the wrong index name. This is a common error when applications reference indices that don't exist or have been renamed.

This error occurs when attempting to update, delete, or retrieve a document that does not exist in the Elasticsearch index. It commonly happens during concurrent operations or when update requests target non-existent documents.

This error occurs when Elasticsearch encounters an unexpected or invalid key while parsing a query JSON object. The query structure doesn't conform to the Elasticsearch Query DSL syntax, typically due to incorrect nesting, misplaced query clauses, or malformed JSON.

This error occurs when attempting to use the "sampler" or "diversified_sampler" aggregation on an aggregation type that does not support sampling. Elasticsearch sampling aggregations work by selecting a subset of documents for analysis, but they can only be applied to certain aggregation types like "terms", "date_histogram", or other bucket aggregations.

This error occurs when Elasticsearch cannot compile a Painless script due to syntax errors, invalid tokens, or other compilation issues in your script code.

The Elasticsearch ConnectException with "Connection refused" occurs when a client or node attempts to connect to Elasticsearch but the target system actively rejects the connection. This typically happens when Elasticsearch is not running, not listening on the expected address, or when network/firewall rules block the connection.

This error occurs when an Elasticsearch node loses connection to the cluster, preventing communication between nodes. It typically indicates network issues, node failures, or resource constraints that disrupt cluster coordination. The disconnected node cannot participate in search, indexing, or cluster management operations.

This error occurs when Elasticsearch cannot read a snapshot from a repository during restore operations. Snapshots are backups of indices and cluster state stored in repository locations like shared filesystems, S3, Azure, or GCS. The error indicates that the snapshot metadata or data files are corrupted, inaccessible, or missing from the repository.

This error occurs when Elasticsearch encounters a document with fields not defined in the index mapping, and the mapping is configured with "dynamic": "strict". Elasticsearch rejects the document to prevent schema drift and ensure data consistency. The fix involves updating your mapping to allow dynamic fields or explicitly defining all expected fields.

This error occurs when Elasticsearch cannot parse a date value according to the field's mapping configuration. The date format in your document doesn't match the expected format defined in the index mapping, causing parsing failures during indexing or updates.

The Elasticsearch fielddata circuit breaker triggers when aggregations or sorting operations attempt to load too much field data into memory. This error occurs when the estimated memory needed for field data exceeds the configured circuit breaker limit, preventing memory exhaustion and node crashes.

This error occurs when a user lacks the required cluster-level permissions to modify Elasticsearch cluster settings. The error indicates that the user's role does not have the cluster:admin/settings/update privilege, which is needed to change dynamic cluster settings like monitoring configuration or transient settings.

This error occurs when trying to perform operations on an Elasticsearch index that has been closed. Closed indices cannot be read from or written to until they are reopened. This is a common issue when indices are manually closed for maintenance, or when automated processes close indices based on lifecycle policies.

This error occurs when Elasticsearch cannot execute a search query because all shards responsible for the search operation have failed. Shards are the basic units of data storage and search execution in Elasticsearch, and when all shards fail, the search operation cannot complete successfully.

This error occurs when Elasticsearch's circuit breaker mechanism prevents a request from executing because it would exceed memory limits. Circuit breakers protect the cluster from out-of-memory errors by monitoring memory usage and rejecting requests that would push the system beyond configured thresholds.

This Elasticsearch error occurs when you try to update or delete a document with an outdated version number. The document has been modified by another process since you last read it, causing a version mismatch. This is Elasticsearch's optimistic concurrency control preventing data loss.

This error occurs when Elasticsearch attempts to restore a snapshot to an index that is currently open and receiving writes. Elasticsearch prevents snapshot restoration to open indices to avoid data corruption and ensure consistency. The index must be closed first before restoration can proceed.

This error occurs when Elasticsearch puts an index into read-only mode, typically due to low disk space or cluster settings. The index blocks write operations but allows deletions to free up space. You need to address the underlying disk space issue or adjust cluster settings to restore write access.

This error occurs when Elasticsearch operations exceed their configured timeout limits, causing tasks to be cancelled. Common causes include slow queries, resource contention, network issues, or insufficient cluster resources. The timeout prevents operations from hanging indefinitely but requires tuning timeouts or optimizing queries.

This error occurs when Elasticsearch aggregations attempt to create more buckets than the configured limit (default: 10,000). Aggregations like terms, histogram, or composite can generate excessive buckets when processing high-cardinality fields or large datasets, causing memory issues and query failures.

This error occurs when Elasticsearch nodes cannot discover or elect a master node, preventing cluster formation. Usually caused by discovery misconfiguration, network issues, or insufficient master-eligible nodes to form a quorum.

This security exception occurs when a user attempts to search an index without the required read privileges in their assigned role. The error indicates missing RBAC permissions for the search operation.

This error occurs when Elasticsearch security features fail to authenticate a user due to incorrect credentials, misconfigured security realms, expired certificates, or disabled security settings. It commonly appears when connecting to secured Elasticsearch clusters with invalid usernames, passwords, or authentication tokens.

This error occurs when attempting to create or access an Elasticsearch index with uppercase letters in its name. Elasticsearch enforces a strict lowercase naming convention for index names to ensure consistency and avoid filesystem conflicts.

This error occurs when an Elasticsearch node cannot properly deserialize data received from another node in the cluster. The most common causes are version mismatches between nodes, incompatible Java versions, or corrupted data during network transmission.

This error occurs when attempting to create a new snapshot in Elasticsearch while another snapshot or restore operation is already running on the same repository. Elasticsearch enforces snapshot serialization per repository to maintain data consistency and prevent conflicts in the repository state.

This error occurs when an index mapping requires a routing value for all CRUD operations, but the request does not provide one. The routing parameter determines which shard stores a document.

This timeout exception occurs when Elasticsearch nodes fail to receive responses within the expected timeout period during inter-node communication, typically caused by network latency, high cluster load, or resource constraints.

This error occurs when you attempt to create an Elasticsearch index with a name that already exists in the cluster. It typically happens during initialization scripts, automated deployments, or when multiple processes try to create the same index simultaneously.

Elasticsearch doesn't allow changing an existing field's type once it's been mapped. You need to create a new index with the correct mapping and reindex your data to fix this error.

This error occurs when Elasticsearch cluster state has not been fully recovered or initialized after startup or node failures. The cluster is in a transitional state and temporarily blocks operations. You need to wait for the cluster to recover, verify node connectivity, ensure adequate disk space, and check cluster configuration.

This Elasticsearch error occurs when one or more primary shards in an index are not allocated or active in the cluster, returning a 503 service unavailable response. The cluster is in a red health state, preventing reads and writes. Common causes include cluster recovery delays, insufficient disk space, or node failures.

Elasticsearch's parent circuit breaker prevents requests that would exceed memory limits. This error occurs when operations consume too much JVM heap memory, threatening cluster stability. Solutions include increasing heap size, optimizing queries, and adjusting circuit breaker thresholds.

This error occurs when Elasticsearch fails to read the index blob metadata from a snapshot repository. The blob containing repository data (index information and shard metadata) is corrupted, missing, or inaccessible. This typically indicates either storage corruption, permission issues, or concurrent access problems with the repository.

The NoNodeAvailableException occurs when an Elasticsearch client cannot establish a connection to any of the configured nodes in the cluster. This typically results from network connectivity issues, incorrect node configuration, nodes being down, or port/firewall mismatches between client and server.

This error occurs when Elasticsearch's search thread pool becomes saturated and cannot accept new search requests. The thread pool queue reaches its maximum capacity (typically 1000 tasks), forcing Elasticsearch to reject incoming search operations. This indicates the cluster is under heavy load and cannot keep up with request volume.

This error occurs when Elasticsearch cannot find any available shard replica to execute a search query, typically due to unassigned shards from node failures, cluster rebalancing, or misconfigured replication settings. Resolving shard allocation issues restores search functionality.