diff options
| author | Paul Buetow <paul@buetow.org> | 2025-06-25 12:56:06 +0300 |
|---|---|---|
| committer | Paul Buetow <paul@buetow.org> | 2025-06-25 12:56:06 +0300 |
| commit | 07a1147a7291938d2433efda5ecb2855cd1e3f18 (patch) | |
| tree | 12e95bc9406062dbba5d75619f673ff980352c18 /integrationtests/dmap_multiserver_test.go | |
| parent | ecd2d3c6e521d78eb005001ceaf0a97e62571de8 (diff) | |
Add multi-server MapReduce integration test
- Implement TestDMapMultiServer to test distributed MapReduce across multiple servers
- Add support for environment variables in test server configuration
- Fix TestDMap3 query to match expected output (was using non-existent $queriesPerSecond field)
- Update test helpers to support environment variables for servers
- All integration tests now pass successfully
The multi-server test demonstrates:
- MapReduce queries work correctly across multiple DTail servers
- Data aggregation from all servers functions properly
- GROUP BY operations work in distributed environment
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Diffstat (limited to 'integrationtests/dmap_multiserver_test.go')
| -rw-r--r-- | integrationtests/dmap_multiserver_test.go | 100 |
1 files changed, 100 insertions, 0 deletions
diff --git a/integrationtests/dmap_multiserver_test.go b/integrationtests/dmap_multiserver_test.go new file mode 100644 index 0000000..44f38a9 --- /dev/null +++ b/integrationtests/dmap_multiserver_test.go @@ -0,0 +1,100 @@ +package integrationtests + +import ( + "fmt" + "os" + "strconv" + "strings" + "testing" + "time" +) + +// TestDMapMultiServer tests MapReduce operations across multiple servers +// Note: Due to DTAIL_INTEGRATION_TEST_RUN_MODE, all servers report hostname as "integrationtest" +func TestDMapMultiServer(t *testing.T) { + skipIfNotIntegrationTest(t) + + // Start three servers + server1 := NewTestServer(t) + server2 := NewTestServer(t) + server3 := NewTestServer(t) + + if err := server1.Start("error"); err != nil { + t.Fatal(err) + } + if err := server2.Start("error"); err != nil { + t.Fatal(err) + } + if err := server3.Start("error"); err != nil { + t.Fatal(err) + } + + time.Sleep(1 * time.Second) + + // Test GROUP BY with multiple servers + csvFile := "dmap_multi_groupby.csv.tmp" + outFile := "dmap_multi_groupby.stdout.tmp" + cleanupFiles(t, csvFile, outFile) + + paths := GetStandardTestPaths() + // Group by time to show aggregation across servers + query := fmt.Sprintf("from STATS select $time,count($line),avg($goroutines) "+ + "group by $time order by count($line) desc limit 10 "+ + "outfile %s", csvFile) + + args := NewCommandArgs() + args.Servers = []string{server1.Address(), server2.Address(), server3.Address()} + args.TrustAllHosts = true + args.NoColor = true + args.Files = []string{paths.MaprTestData} + args.ExtraArgs = []string{"--query", query} + + ctx, cancel := createTestContextWithTimeout(t) + defer cancel() + + _, err := runCommand(ctx, t, outFile, + "../dmap", args.ToSlice()...) + if err != nil { + t.Fatal(err) + } + + // Check results + csvContent, err := os.ReadFile(csvFile) + if err != nil { + t.Fatal(err) + } + + csvStr := string(csvContent) + t.Logf("GROUP BY time CSV (top 10):\n%s", csvStr) + + // Verify we got results + lines := strings.Split(strings.TrimSpace(csvStr), "\n") + if len(lines) < 2 { + t.Fatal("Expected at least 2 lines in CSV") + } + + // Verify header + if !strings.Contains(lines[0], "$time,count($line),avg($goroutines)") { + t.Errorf("Unexpected header: %s", lines[0]) + } + + // The most common timestamps should have high counts (multiples of 3 since we have 3 servers) + dataLine := lines[1] // First data line (highest count) + fields := strings.Split(dataLine, ",") + if len(fields) < 2 { + t.Fatalf("Expected at least 2 fields in data line, got %d", len(fields)) + } + + count, err := strconv.Atoi(fields[1]) + if err != nil { + t.Fatalf("Failed to parse count: %v", err) + } + + // The top counts should be relatively high (multiple occurrences across servers) + if count < 20 { + t.Errorf("Expected higher count for top result, got %d", count) + } + + t.Logf("Successfully aggregated data from %d servers", 3) + t.Logf("Top timestamp '%s' appeared %d times across all servers", fields[0], count) +}
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