Databricks Debug Bundle

Databricks Debug Bundle

Overview

Collect all necessary diagnostic information for Databricks support tickets.

Prerequisites

• Databricks CLI installed and configured
• Access to cluster logs (admin or cluster owner)
• Permission to access job run details

Instructions

Step 1: Create Debug Bundle Script

#!/bin/bash
# databricks-debug-bundle.sh

set -e
BUNDLE_DIR="databricks-debug-$(date +%Y%m%d-%H%M%S)"
mkdir -p "$BUNDLE_DIR"

echo "=== Databricks Debug Bundle ===" > "$BUNDLE_DIR/summary.txt"
echo "Generated: $(date)" >> "$BUNDLE_DIR/summary.txt"
echo "Workspace: ${DATABRICKS_HOST}" >> "$BUNDLE_DIR/summary.txt"
echo "" >> "$BUNDLE_DIR/summary.txt"

Step 2: Collect Environment Info

set -euo pipefail
# Environment info
echo "--- Environment ---" >> "$BUNDLE_DIR/summary.txt"
echo "CLI Version: $(databricks --version)" >> "$BUNDLE_DIR/summary.txt"
echo "Python: $(python --version 2>&1)" >> "$BUNDLE_DIR/summary.txt"
echo "Databricks SDK: $(pip show databricks-sdk 2>/dev/null | grep Version)" >> "$BUNDLE_DIR/summary.txt"
echo "DATABRICKS_HOST: ${DATABRICKS_HOST}" >> "$BUNDLE_DIR/summary.txt"
echo "DATABRICKS_TOKEN: ${DATABRICKS_TOKEN:+[SET]}" >> "$BUNDLE_DIR/summary.txt"
echo "" >> "$BUNDLE_DIR/summary.txt"

# Workspace info
echo "--- Workspace Info ---" >> "$BUNDLE_DIR/summary.txt"
databricks current-user me 2>&1 >> "$BUNDLE_DIR/summary.txt" || echo "Failed to get user info"
echo "" >> "$BUNDLE_DIR/summary.txt"

Step 3: Collect Cluster Information

# Cluster details (if cluster_id provided)
CLUSTER_ID="${1:-}"
if [ -n "$CLUSTER_ID" ]; then
    echo "--- Cluster Info: $CLUSTER_ID ---" >> "$BUNDLE_DIR/summary.txt"
    databricks clusters get --cluster-id "$CLUSTER_ID" > "$BUNDLE_DIR/cluster_info.json" 2>&1

    # Extract key info
    jq -r '{
        state: .state,
        spark_version: .spark_version,
        node_type_id: .node_type_id,
        num_workers: .num_workers,
        autotermination_minutes: .autotermination_minutes
    }' "$BUNDLE_DIR/cluster_info.json" >> "$BUNDLE_DIR/summary.txt"

    # Get cluster events
    echo "--- Recent Cluster Events ---" >> "$BUNDLE_DIR/summary.txt"
    databricks clusters events --cluster-id "$CLUSTER_ID" --limit 20 > "$BUNDLE_DIR/cluster_events.json" 2>&1
    jq -r '.events[] | "\(.timestamp): \(.type) - \(.details)"' "$BUNDLE_DIR/cluster_events.json" >> "$BUNDLE_DIR/summary.txt" 2>/dev/null
fi

Step 4: Collect Job Run Information

# Job run details (if run_id provided)
RUN_ID="${2:-}"
if [ -n "$RUN_ID" ]; then
    echo "--- Job Run Info: $RUN_ID ---" >> "$BUNDLE_DIR/summary.txt"
    databricks runs get --run-id "$RUN_ID" > "$BUNDLE_DIR/run_info.json" 2>&1

    # Extract run state
    jq -r '{
        state: .state.life_cycle_state,
        result: .state.result_state,
        message: .state.state_message,
        start_time: .start_time,
        end_time: .end_time
    }' "$BUNDLE_DIR/run_info.json" >> "$BUNDLE_DIR/summary.txt"

    # Get run output
    echo "--- Run Output ---" >> "$BUNDLE_DIR/summary.txt"
    databricks runs get-output --run-id "$RUN_ID" > "$BUNDLE_DIR/run_output.json" 2>&1
    jq -r '.error // "No error"' "$BUNDLE_DIR/run_output.json" >> "$BUNDLE_DIR/summary.txt"

    # Task-level details
    jq -r '.tasks[] | "Task \(.task_key): \(.state.result_state)"' "$BUNDLE_DIR/run_info.json" >> "$BUNDLE_DIR/summary.txt" 2>/dev/null
fi

Step 5: Collect Spark Logs

# Spark driver logs (requires cluster_id)
if [ -n "$CLUSTER_ID" ]; then
    echo "--- Spark Driver Logs (last 500 lines) ---" > "$BUNDLE_DIR/driver_logs.txt"  # HTTP 500 Internal Server Error

    # Get logs via API
    python3 << EOF >> "$BUNDLE_DIR/driver_logs.txt" 2>&1
from databricks.sdk import WorkspaceClient
w = WorkspaceClient()
try:
    logs = w.clusters.get_cluster_driver_logs(cluster_id="$CLUSTER_ID")
    print(logs.log_content[:50000] if logs.log_content else "No logs available")  # 50000ms = 50 seconds
except Exception as e:
    print(f"Error fetching logs: {e}")
EOF
fi

Step 6: Collect Delta Table Info

# Delta table diagnostics (if table provided)
TABLE_NAME="${3:-}"
if [ -n "$TABLE_NAME" ]; then
    echo "--- Delta Table Info: $TABLE_NAME ---" >> "$BUNDLE_DIR/summary.txt"

    python3 << EOF >> "$BUNDLE_DIR/delta_info.txt" 2>&1
from databricks.sdk import WorkspaceClient
from databricks.connect import DatabricksSession

w = WorkspaceClient()
spark = DatabricksSession.builder.getOrCreate()

# Table history
print("=== Table History ===")
history_df = spark.sql(f"DESCRIBE HISTORY {TABLE_NAME} LIMIT 20")
history_df.show(truncate=False)

# Table details
print("\n=== Table Details ===")
spark.sql(f"DESCRIBE DETAIL {TABLE_NAME}").show(truncate=False)

# Schema
print("\n=== Schema ===")
spark.sql(f"DESCRIBE {TABLE_NAME}").show(truncate=False)
EOF
fi

Step 7: Package Bundle

set -euo pipefail
# Create config snapshot (redacted)
echo "--- Config (redacted) ---" >> "$BUNDLE_DIR/summary.txt"
cat ~/.databrickscfg 2>/dev/null | sed 's/token = .*/token = ***REDACTED***/' >> "$BUNDLE_DIR/config-redacted.txt"

# Network connectivity test
echo "--- Network Test ---" >> "$BUNDLE_DIR/summary.txt"
echo -n "API Health: " >> "$BUNDLE_DIR/summary.txt"
curl -s -o /dev/null -w "%{http_code}" "${DATABRICKS_HOST}/api/2.0/clusters/list" \
    -H "Authorization: Bearer ${DATABRICKS_TOKEN}" >> "$BUNDLE_DIR/summary.txt"
echo "" >> "$BUNDLE_DIR/summary.txt"

# Package everything
tar -czf "$BUNDLE_DIR.tar.gz" "$BUNDLE_DIR"
rm -rf "$BUNDLE_DIR"

echo "Bundle created: $BUNDLE_DIR.tar.gz"
echo ""
echo "Contents:"
echo "  - summary.txt: Environment and error summary"
echo "  - cluster_info.json: Cluster configuration"
echo "  - cluster_events.json: Recent cluster events"
echo "  - run_info.json: Job run details"
echo "  - run_output.json: Task outputs and errors"
echo "  - driver_logs.txt: Spark driver logs"
echo "  - delta_info.txt: Delta table diagnostics"
echo "  - config-redacted.txt: CLI configuration (secrets removed)"

Output

• databricks-debug-YYYYMMDD-HHMMSS.tar.gz archive containing:
  • summary.txt - Environment and error summary
  • cluster_info.json - Cluster configuration
  • cluster_events.json - Recent cluster events
  • run_info.json - Job run details
  • driver_logs.txt - Spark driver logs
  • config-redacted.txt - Configuration (secrets removed)

Error Handling

Examples

Sensitive Data Handling

ALWAYS REDACT:

• API tokens and secrets
• Personal access tokens
• Connection strings
• PII in logs

Safe to Include:

• Error messages
• Stack traces (check for PII)
• Cluster IDs, job IDs
• Configuration (without secrets)

Usage

# Basic bundle (environment only)
./databricks-debug-bundle.sh

# With cluster diagnostics
./databricks-debug-bundle.sh cluster-12345-abcde  # port 12345 - example/test

# With job run diagnostics
./databricks-debug-bundle.sh cluster-12345-abcde 67890  # 67890 = configured value

# Full diagnostics with Delta table
./databricks-debug-bundle.sh cluster-12345 67890 catalog.schema.table

Submit to Support

1. Create bundle: bash databricks-debug-bundle.sh [cluster-id] [run-id]
2. Review for sensitive data
3. Open support ticket at Databricks Support
4. Attach bundle to ticket

Resources

• Databricks Support
• Community Forum
• Status Page

Next Steps

For rate limit issues, see databricks-rate-limits.