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Data warehouse ⇄ Human resources

Apache Impala to Smartrecruiters integration — real-time, two-way sync

Keep Apache Impala and Smartrecruiters in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Apache Impala and Smartrecruiters

Land the people and organization records from Smartrecruiters in Apache Impala as live tables for workforce reporting, without extract jobs, and write computed results back where Smartrecruiters can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Smartrecruiters is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Apache Impala next to everything else the company measures.

Stacksync syncs Interviews, Offers, Users, Approvals from Smartrecruiters into tables in Apache Impala continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Impala, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Smartrecruiters where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Read new partitions incrementally from Parquet tables and land them in a cloud warehouse during migration.
  • 02 Publish Impala query results (aggregates, KPIs) to CRMs or spreadsheets on a schedule.
  • 03 Write enriched or sourced Candidates from external sourcing tools into SmartRecruiters and keep contact fields refreshed as data changes.
  • 04 Stream Jobs and Job Postings into a reporting database for requisition, funnel, and time-to-fill dashboards.

Common sync patterns

HR data in the warehouse, minus the pipeline

People and organization records from Smartrecruiters arrive in Apache Impala as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

Headcount and cost joined with everything else

Analysts combine Smartrecruiters's workforce records with finance, product, or operational data already in Apache Impala for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

What you can sync between Apache Impala and Smartrecruiters

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Apache Impala objects Smartrecruiters objects How this pairing syncs
Partitions Partition values used to limit scans and drive incremental reads. Interviews Interview types, timeslots, templates, and scheduled interviews with interviewers and times; created, updated, and read for scheduling and interviewer-load analytics. Partitions is specific to Apache Impala and Interviews to Smartrecruiters — each maps to any object or custom field on the other side.
Views Logical views readable as modeled sources. Offers Offer records tied to an Application with status, custom offer fields, and offer documents; readable and writable, commonly synced to an HRIS on hire (documents endpoint limited to 2 requests/sec). Views is specific to Apache Impala and Offers to Smartrecruiters — each maps to any object or custom field on the other side.
Kudu Tables Kudu-backed tables that support row-level insert, update, upsert, and delete. Users Company users (recruiters, hiring managers) with roles, access groups, and activation state; read and written via the User Management API. Kudu Tables is specific to Apache Impala and Users to Smartrecruiters — each maps to any object or custom field on the other side.
External Tables Tables over files loaded by other tools, queryable without data movement. Approvals Approval requests for jobs and offers; requests can be created, retrieved as pending, commented on, and approved or rejected via the Approvals API. External Tables is specific to Apache Impala and Approvals to Smartrecruiters — each maps to any object or custom field on the other side.
Users and Roles Principals (often via Ranger/Sentry) used to grant scoped read access. Candidates Person records with contact details, tags, attachments, custom properties, and consent; created, updated, and searched via the Candidates API, often populated from sourcing or enrichment pipelines. Users and Roles is specific to Apache Impala and Candidates to Smartrecruiters — each maps to any object or custom field on the other side.
Databases Namespaces shared with the Hive Metastore that scope tables. Applications Links a Candidate to a Job and carries the current hiring status and source; created and advanced through statuses (screening, interview, offer, hired, rejected) via the Application API. Databases is specific to Apache Impala and Applications to Smartrecruiters — each maps to any object or custom field on the other side.

How changes propagate between Apache Impala and Smartrecruiters

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Apache Impala Smartrecruiters Interval-based propagation

DetectionStacksync polls Apache Impala for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns.

DeliveryEach detected change is written to Smartrecruiters through its API, with automatic retries and rate-limit backoff.

Smartrecruiters Apache Impala Sub-second propagation

DetectionSmartrecruiters notifies Stacksync of record changes through webhook events. Webhooks API — subscribe to events (new application, candidate updated, status changed) delivered with a signing secret and retrievable callback logs.

DeliveryEach detected change is applied to Apache Impala as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Impala: No API quotas; concurrency is bounded by cluster resources and admission control settings.
  • Smartrecruiters: Per API credential: most endpoints allow up to 10 requests/sec (job publication and offer documents 2/sec), plus a concurrency limiter of up to 8 simultaneous requests (GET /candidates capped at 1). Exceeding returns 429; responses carry X-RateLimit-Limit/Remaining and concurrent-limit headers.
What ships with Apache Impala ⇄ Smartrecruiters

Connect Apache Impala and Smartrecruiters for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Impala–Smartrecruiters connection.

Real-time

Two-way sync

Changes in Apache Impala or Smartrecruiters instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Impala or Smartrecruiters data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Apache Impala or Smartrecruiters record.

Observability

Monitoring

Track your Apache Impala ⇄ Smartrecruiters sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Impala and Smartrecruiters.

How the Apache Impala and Smartrecruiters connectors work

Apache Impala

Integration surface
SQL over JDBC/ODBC (HiveServer2-compatible protocol)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition or timestamp columns; no change log exposed for external consumers
Capabilities
read · write
Rate limits
No API quotas; concurrency is bounded by cluster resources and admission control settings

Smartrecruiters

Integration surface
SmartRecruiters REST APIs (SmartAPIs) on api.smartrecruiters.com — Candidates, Application, Jobs, Interviews, Offers, Users, Approvals, plus a Webhooks API for event subscriptions
Authentication
X-SmartToken API key header for a customer's own integration (grants full company access, no scopes or expiry), or OAuth 2.0 authorization-code flow for partner and Marketplace apps with user-scoped permissions
Change detection
Webhooks API — subscribe to events (new application, candidate updated, status changed) delivered with a signing secret and retrievable callback logs; otherwise poll list endpoints with updated-after-style filters. No log-based change data capture.
Capabilities
read · write · webhooks
Rate limits
Per API credential: most endpoints allow up to 10 requests/sec (job publication and offer documents 2/sec), plus a concurrency limiter of up to 8 simultaneous requests (GET /candidates capped at 1). Exceeding returns 429; responses carry X-RateLimit-Limit/Remaining and concurrent-limit headers.
Smartrecruiters setup guide
How it works

How to connect Apache Impala to Smartrecruiters — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Apache Impala and Smartrecruiters with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Impala connected
    Smartrecruiters connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Impala and Smartrecruiters objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Impala ⇄ Smartrecruiters
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Impala Smartrecruiters
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Impala and Smartrecruiters integration FAQ

SECURITY

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As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 435 integrations available for Apache Impala and Smartrecruiters.

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