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Keploy as a Oracle Database testing framework

Keploy mocks Oracle by recording its wire protocol beneath your driver, capturing the exact result sets and column metadata your queries returned, then replaying them during tests. No Oracle instance runs in CI, no schema is created, and no seed script is involved.

Generate Oracle Database tests free
keploy record -c "java -jar orders.jar"
18.4K+VS Code1.2M+300M+mocks created

What Keploy gives a Oracle Database team

Captured at the Oracle Net protocol

Keploy records beneath the driver, so what replays is the bytes the instance sent — including the NUMBER precision and scale the server reported, which is where a surprising number of Oracle bugs live.

  • Below Oracle JDBC, cx_Oracle, and node-oracledb
  • NUMBER precision and scale preserved
  • Bind variables captured per query
  • PL/SQL calls and REF CURSORs recorded
The problem

Why Oracle Database integration tests slow teams down

The friction is rarely the assertions. It is everything around them — spinning up dependencies, keeping mocks honest, and repairing tests after every refactor.

Three ways to do it

Testing Oracle Database: by hand, with Testcontainers Oracle, or with Keploy

Testcontainers gives real Oracle semantics and charges a very large image plus a slow boot per job. Keploy records that instance once and replays its responses with neither.

Select any row for the full comparison, with code.

Same coverage, three costs

What you write for Oracle Database vs what Keploy records

All three produce the same assertion. Only the third still passes after the next refactor without anyone editing it.

By hand2–4 hours
OrderDaoStub.java
hand-written
// Hand-written stub: no SQL is executed or type-mapped.
package com.acme.orders;
 
import java.math.BigDecimal;
import java.util.*;
 
class OrderDaoStub implements OrderDao {
 
private final Map<String, Order> rows = new HashMap<>(Map.of(
// A guess. Oracle NUMBER(12,2) may map differently.
"ord_1", new Order("ord_1", new BigDecimal("42.00"), "NEW")));
 
@Override
public Optional<Order> findById(String id) {
return Optional.ofNullable(rows.get(id));
}
}

The stub chooses its own BigDecimal scale, so a NUMBER precision or rounding mismatch is impossible to reproduce and impossible to catch.

Testcontainers Oracle1–2 hours
OrderDaoIT.java
tool-assisted
// Testcontainers Oracle: real instance, very large image.
package com.acme.orders;
 
class OrderDaoIT {
 
static OracleContainer oracle =
new OracleContainer("gvenzl/oracle-free:23-slim")
.withInitScript("schema-and-seed.sql");
 
@BeforeAll static void boot() { oracle.start(); }
@AfterAll static void stop() { oracle.stop(); }
 
@Test
void findsASeededOrder() {
var dao = new JdbcOrderDao(dataSource(oracle));
 
var order = dao.findById("ord_1").orElseThrow();
 
assertEquals(new BigDecimal("42.00"), order.amount());
}
}

Accurate down to NUMBER scale — and every job pulls a multi-gigabyte image and waits for the instance to open before the first assertion.

With Keploy~5 minutes
mocks.yaml
auto-generated
# Recorded with: keploy record -c './your-service'
# The Oracle response, captured at the protocol level.
version: api.keploy.io/v1beta1
kind: SQL
name: mock-2
spec:
metadata:
server: "Oracle Database 23ai"
request:
query: "SELECT id, amount, state FROM orders WHERE id = :1"
binds:
- "ord_1"
response:
columns:
- name: ID
type: VARCHAR2
- name: AMOUNT
type: NUMBER
precision: 12
scale: 2
- name: STATE
type: VARCHAR2
rows:
- { ID: "ord_1", AMOUNT: "42.00", STATE: "NEW" }

Precision and scale come from Oracle's own describe, so the driver's NUMBER conversion runs on every replay rather than being chosen by a stub.

Times are estimates for authoring one endpoint’s coverage from scratch, not measurements.

Keploy vs the alternatives

Oracle Database testing tools, compared

The options a team on relational databases actually reaches for, and where each one genuinely wins. Select a row for the full comparison.

Best in classStrongPartialNot covered

Assessments reflect each tool’s documented behaviour, not benchmark measurements.

How it works

Record your Oracle Database app once, replay it forever

Keploy sits below your Oracle Database process at the network layer. It watches the calls your app already makes, then serves them back on replay so tests run with no dependencies attached.

Keploy records a GET call to /api/v1/orders/{id} on a Oracle Database service and captures the dependency calls it makes.

Oracle Database logo
Your Oracle Database app
GET/api/v1/orders/{id}200
RecordingKeploy proxyeBPF · userspace
+2 more Oracle Database clients
An example shape of a captured call. Your own endpoints and dependencies come from your real traffic, so nothing here has to be written by hand.
Quick start

Your first Oracle Database test suite in under five minutes

Every command below runs against your existing Oracle Database service. Nothing in your source tree changes.

  1. 1Install the Keploy CLI

    A single binary. It needs a Linux kernel with eBPF support, or Docker on macOS and Windows — and it adds nothing to your project's dependencies.

    curl -sSL https://keploy.io/install.sh | bash
  2. 2Record your service

    Pass the command you already use to start the app. Keploy runs it and watches every socket it opens.

    keploy record -c "java -jar orders.jar"
  3. 3Exercise the paths you care about

    Run the app with your development Oracle reachable. Every query, its bind variables, and the rows returned are captured together.

    curl localhost:8080/orders/ord_1
    curl -X POST localhost:8080/orders/ord_1/confirm -d '{"paymentToken":"tok_123"}'
  4. 4Replay in CI

    Replay serves the recorded dependency responses, so the job needs no service containers and no Docker daemon.

    keploy test -c "java -jar orders.jar" --delay 18

Ready to try it on your own Oracle Database service?

Ecosystem

Works with the rest of your Oracle Database stack

Keploy records at the network layer, so framework and driver choices inside your Oracle Database app do not change how it captures traffic.

FAQ

Oracle Database testing with Keploy: common questions

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