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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)
cleanupTmpFiles(t)
testLogger := NewTestLogger("TestDMapMultiServer")
defer testLogger.WriteLogFile()
// 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)
ctx = WithTestLogger(ctx, testLogger)
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)
// Log file verification
testLogger.LogFileComparison(csvFile, "GROUP BY results", "content verification")
}
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