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Data warehouse ⇄ Human resources

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

Keep Apache Hive 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 Hive and Smartrecruiters

Land the people and organization records from Smartrecruiters in Apache Hive 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 Hive next to everything else the company measures.

Stacksync syncs Approvals, Candidates, Applications, Jobs from Smartrecruiters into tables in Apache Hive continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Apache Hive, 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 Extract curated Hive tables into operational databases or SaaS tools so business teams use data locked in Hadoop.
  • 02 Load records from CRMs and databases into partitioned Hive tables for long-term analytical storage.
  • 03 Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update hiring status, tags, and custom fields in SQL while recruiters keep working in SmartRecruiters.
  • 04 Write enriched or sourced Candidates from external sourcing tools into SmartRecruiters and keep contact fields refreshed as data changes.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in Apache Hive gives you a durable, queryable record of how Smartrecruiters's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Apache Hive sync back onto the matching records in Smartrecruiters, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

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

What you can sync between Apache Hive 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 Hive objects Smartrecruiters objects How this pairing syncs
Partitions Directory-mapped subsets (often by date) that bound incremental sync reads. 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). Partitions is specific to Apache Hive and Offers to Smartrecruiters — each maps to any object or custom field on the other side.
Views Logical views readable as modeled sources. Users Company users (recruiters, hiring managers) with roles, access groups, and activation state; read and written via the User Management API. Views is specific to Apache Hive and Users to Smartrecruiters — each maps to any object or custom field on the other side.
Materialized Views Precomputed results available in newer Hive versions for faster reads. Approvals Approval requests for jobs and offers; requests can be created, retrieved as pending, commented on, and approved or rejected via the Approvals API. Materialized Views is specific to Apache Hive and Approvals to Smartrecruiters — each maps to any object or custom field on the other side.
ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. 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. ACID Tables is specific to Apache Hive and Candidates to Smartrecruiters — each maps to any object or custom field on the other side.
Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. 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. Metastore Catalog is specific to Apache Hive and Applications to Smartrecruiters — each maps to any object or custom field on the other side.
Databases Metastore namespaces that scope tables and grants. Jobs Requisitions (positions) with openings, departments, locations, and hiring team; created, patched, and read out for requisition and time-to-fill reporting via the Jobs API. Databases is specific to Apache Hive and Jobs to Smartrecruiters — each maps to any object or custom field on the other side.

How changes propagate between Apache Hive 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 Hive Smartrecruiters Interval-based propagation

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

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

Smartrecruiters Apache Hive 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 Hive as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Hive: No API quotas; query latency reflects the batch-oriented execution engine underneath.
  • 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 Hive ⇄ Smartrecruiters

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Hive 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 Hive or Smartrecruiters record.

Observability

Monitoring

Track your Apache Hive ⇄ 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 Hive and Smartrecruiters.

How the Apache Hive and Smartrecruiters connectors work

Apache Hive

Integration surface
SQL (HiveQL) over JDBC/ODBC via HiveServer2 (Thrift)
Authentication
Deployment-dependent: Kerberos, LDAP, or username/password
Change detection
Polling on partition values or timestamp columns; no general-purpose change log for external consumers
Capabilities
read · write
Rate limits
No API quotas; query latency reflects the batch-oriented execution engine underneath

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 Hive 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 Hive 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 Hive connected
    Smartrecruiters connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Hive 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 Hive ⇄ 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 Hive Smartrecruiters
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Hive and Smartrecruiters integration FAQ

SECURITY

Security teams trust Stacksync

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

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