mem0ai/mem0 · error · Error

Databricks storage-optimized endpoints only support TRIGGERE

Error message

Databricks storage-optimized endpoints only support TRIGGERED pipelineType.

What it means

Databricks Vector Search endpoints of type STORAGE_OPTIMIZED only support TRIGGERED pipelines; continuous (CONTINUOUS) syncing is not available for them. The constructor validates this combination and throws at store creation.

Source

Thrown at mem0-ts/src/oss/src/vector_stores/databricks.ts:494

      "collectionName",
    );
    this.tableName = validateIdentifier(
      config.tableName || this.indexName,
      "tableName",
    );
    this.fullTableName = `${this.catalog}.${this.schema}.${this.tableName}`;
    this.fullIndexName = `${this.catalog}.${this.schema}.${this.indexName}`;
    this.syncPollIntervalMs =
      config.syncPollIntervalMs ?? DEFAULT_SYNC_POLL_INTERVAL_MS;
    this.syncTimeoutMs = config.syncTimeoutMs ?? DEFAULT_SYNC_TIMEOUT_MS;
    this.sqlClient = config.sqlClient ?? null;
    this.httpClient = config.httpClient || this.createHttpClient();

    if (
      this.endpointType === "STORAGE_OPTIMIZED" &&
      this.pipelineType !== "TRIGGERED"
    ) {
      throw new Error(
        "Databricks storage-optimized endpoints only support TRIGGERED pipelineType.",
      );
    }

    if (
      this.endpointType === "STORAGE_OPTIMIZED" &&
      this.dimension % 16 !== 0
    ) {
      throw new Error(
        "Databricks storage-optimized endpoints require dimensions divisible by 16.",
      );
    }

    this.initialize().catch(console.error);
  }

  async initialize(): Promise<void> {
    if (!this._initPromise) {

View on GitHub (pinned to 001c235229)

Solutions

1. Set pipelineType: 'TRIGGERED' when using endpointType: 'STORAGE_OPTIMIZED'
2. Or keep CONTINUOUS pipelines by using endpointType: 'STANDARD'
3. If you need near-real-time sync, STORAGE_OPTIMIZED is not an option — call requestIndexSync() manually after writes with TRIGGERED

Example fix

// before
new Databricks({ endpointType: 'STORAGE_OPTIMIZED', pipelineType: 'CONTINUOUS', ... });

// after
new Databricks({ endpointType: 'STORAGE_OPTIMIZED', pipelineType: 'TRIGGERED', ... });

if (cfg.endpointType === 'STORAGE_OPTIMIZED' && cfg.pipelineType !== 'TRIGGERED') {
  throw new Error('STORAGE_OPTIMIZED requires pipelineType TRIGGERED');
}

When it happens

Trigger: Configuring the store with endpointType: 'STORAGE_OPTIMIZED' and pipelineType: 'CONTINUOUS' (or any value other than 'TRIGGERED').

Common situations: Copying a config from a STANDARD endpoint that used CONTINUOUS sync and switching endpointType; defaulting pipelineType to CONTINUOUS for freshness and then choosing storage-optimized for cost.

Related errors

• Invalid ${label} '${name}': only letters, digits, and unders
• Databricks vector store requires either workspaceUrl or host
• Databricks storage-optimized endpoints require dimensions di
• Databricks vector store requires accessToken or clientId/cli
• Together API key is required

AI-assisted analysis of mem0ai/mem0@001c235229 (2026-08-15). Data as JSON: /api/errors/5e8b7da5db38ed81. Report an issue: GitHub.