5.1 - Convert-DNSDebugLogFile
SYNOPSIS
Transforms Windows DNS Server debug logs into structured CSV format for analysis and reporting.
SYNTAX
__AllParameterSets
Convert-DNSDebugLogFile [-InputFile] <string[]> [[-OutputFile] <string>] [[-Delimiter] <string>]
[[-ComputerName] <string>] [[-OutputType] <string>] [[-ContextFilter] <string[]>]
[[-InputCulture] <cultureinfo>] [[-OutputCulture] <cultureinfo>] [-SkipHeaderValidation]
[-RemoveSourceFile] [-CompressOutput] [-NoDetailsParsing] [-WhatIf] [-Confirm] [<CommonParameters>]
ALIASES
This cmdlet has the following aliases,
DESCRIPTION
Converts Windows DNS Server debug log files into structured CSV data that can be analyzed
in Excel, Power BI, SQL databases, or SIEM tools.
Designed for security analysis, performance
monitoring, troubleshooting, and compliance reporting.
The cmdlet parses DNS debug logs and writes a consistent CSV output for analysis.
The CSV output contains 18 columns, including an Information column for event/diagnostic text,
an optional Details JSON column for Packet detail blocks, and an always-present ComputerName
column (empty unless specified).
KEY FEATURES:
- High-performance parsing optimized for large files (100MB+)
- Customizable CSV delimiter (default: semicolon)
- Optional statistical summaries with aggregated metrics
- Context filtering (Packet, Event, Note, and additional contexts) to focus on specific log entry types
- Culture-aware date parsing and formatting for international servers
- Pipeline support for batch processing multiple files
- Optional compression of output files (ZIP format)
- Optional automatic removal of source files after processing
- Header validation to ensure data integrity
OUTPUT FORMAT:
The ComputerName column is always included at the end of each record.
If the -ComputerName
parameter is not specified, the column will be empty.
This ensures consistent output structure
for multi-server consolidation scenarios.
PERFORMANCE:
Optimized using StreamReader/StreamWriter with 64KB buffers, string operations instead of
regex, manual CSV generation, and efficient hashtable-based statistics collection.
COMPATIBILITY:
- PowerShell 5.1+ (Desktop and Core editions)
- Windows Server 2016+
- DNS Server 2012 R2 through 2025 log formats
EXAMPLES
EXAMPLE 1
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log"
Converts the DNS debug log using default settings (both data and statistics files with semicolon delimiter).
Output:
- C:\Logs\dns.csv
- C:\Logs\dns_Statistic.csv
- C:\Logs\dns_PacketStatistic.csv
EXAMPLE 2
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -OutputType CSV
Generates only the data file without statistics.
Output: C:\Logs\dns.csv
EXAMPLE 3
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -OutputType Statistic
Generates only the statistics file with aggregated metrics.
Output:
- C:\Logs\dns_Statistic.csv
- C:\Logs\dns_PacketStatistic.csv
EXAMPLE 4
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -OutputFile "C:\Output\parsed.csv"
Converts the log to a custom output location.
Output: C:\Output\parsed.csv
EXAMPLE 5
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -Delimiter "," -ComputerName "DNS01" -OutputType Both
Converts with comma delimiter and adds ComputerName column with value “DNS01”.
Output:
- C:\Logs\dns.csv
- C:\Logs\dns_Statistic.csv
- C:\Logs\dns_PacketStatistic.csv
EXAMPLE 6
PS C:\> Get-ChildItem "C:\Logs\*.log" | Convert-DNSDebugLogFile -OutputType Both
Batch processes multiple DNS debug log files via pipeline.
Output: For each .log file, generates .csv and _statistic.csv files
EXAMPLE 7
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -CompressOutput
Converts and compresses output to ZIP archive.
Output: C:\Logs\dns.zip (containing dns.csv + statistics files)
EXAMPLE 8
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -RemoveSourceFile -Verbose
Converts the log and removes the source file after successful processing.
Verbose output confirms file removal.
EXAMPLE 9
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -InputCulture 'de-DE' -OutputCulture 'en-US'
Parses German date format (DD.MM.YYYY) and outputs in US format (MM/DD/YYYY).
Use when processing logs from servers with different regional settings.
EXAMPLE 10
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -ContextFilter 'Packet'
Converts only DNS query/response packet entries, excluding EVENT and Note entries.
Use to focus analysis on actual DNS traffic.
EXAMPLE 11
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\dns.log" -ContextFilter 'Packet','Event'
Converts both DNS query/response packets and server events, excluding Note and other entries.
Use to analyze DNS traffic along with server event context.
EXAMPLE 12
PS C:\> Get-ChildItem "C:\Logs\*.log" | Convert-DNSDebugLogFile -RemoveSourceFile -CompressOutput
Automated log archival: processes all logs, compresses output, and removes source files.
Ideal for scheduled log processing pipelines.
EXAMPLE 13
PS C:\> Convert-DNSDebugLogFile -InputFile "C:\Logs\large-dns.log" -NoDetailsParsing
Processes a large log file with detail parsing disabled for maximum performance.
PACKET detail blocks are skipped, keeping the Details column empty.
Use when processing very large files and detailed packet structure is not needed.
PARAMETERS
-CompressOutput
Compresses output CSV files into a ZIP archive after creation.
Creates a .zip file containing the generated CSV file(s), then removes the uncompressed CSV(s).
The ZIP file is created in the same directory as the output CSV with the same base name.
Benefits:
- Significantly reduces disk space (CSV files typically compress 90%+)
- Simplifies file management and archival
- Suitable for long-term storage
Example: Input ‘dns.log’ generates ‘dns.csv’ compressed to ‘dns.zip’, then ‘dns.csv’ is removed.
Type: SwitchParameter
DefaultValue: False
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-ComputerName
Specifies the value for the ComputerName column in the CSV output.
The ComputerName column is
always present in the output - if this parameter is not specified, the column will be empty.
Use this when consolidating logs from multiple DNS servers to identify the source server in
combined datasets.
Note: This is NOT a remoting parameter.
The cmdlet processes local files only.
Type: String
DefaultValue: ''
SupportsWildcards: false
Aliases:
- Server
- DNSServer
- HostName
ParameterSets:
- Name: (All)
Position: 3
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-Confirm
Prompts you for confirmation before running the cmdlet.
When specified, prompts for confirmation before:
- Processing each DNS debug log file
- Removing source files (when -RemoveSourceFile is specified)
- Overwriting existing output files
Useful for interactive processing when you want to control which files are processed.
Type: SwitchParameter
DefaultValue: ''
SupportsWildcards: false
Aliases:
- cf
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-ContextFilter
Filters which log entry types to include in the output.
Accepts single or multiple values.
DNS debug logs contain different context types:
- PACKET: DNS query and response packet information (primary data)
- EVENT: DNS server events (e.g., “The DNS server has started.”)
- Note: Diagnostic notes and warnings (e.g., socket errors, internal states)
- DSPoll, Init, Lookup, Recurse, Remote, Tombstone: Additional context types
Valid values:
- ‘All’: Include all context types (default)
- ‘Packet’: Include only PACKET entries (DNS queries/responses)
- ‘Event’: Include only EVENT entries (server events)
- ‘Note’: Include only Note entries (diagnostic information)
- Any combination: Specify multiple values to include specific context types
Default: All
Examples:
- ‘Packet’ filters to only DNS traffic
- ‘Packet’,‘Event’ includes both DNS traffic and server events
- ‘Note’,‘Event’ includes diagnostic notes and server events
Note: When filtering to ‘Event’ or ‘Note’, only DateTime, ThreadId, Context, and Information
columns will contain data.
Other columns (Protocol, ClientIP, etc.) will be empty.
Type: String[]
DefaultValue: "@('All')"
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: 5
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-Delimiter
Specifies the delimiter character for the CSV output.
Default: Semicolon (;)
Common alternatives: Comma (,), Tab (`t), Pipe (|)
Use semicolon in regions where comma is the decimal separator (Europe).
Use comma for standard
CSV tools and databases that expect comma-separated values.
Type: String
DefaultValue: ;
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: 2
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
Specifies the culture/locale to use for parsing date/time values in the DNS debug log.
DNS Server debug logs use the date format of the Windows locale on the server where the log
was generated.
Use this parameter when processing logs from servers with different regional
settings.
Default: Current culture
Common examples:
- ‘de-DE’ or ‘de-AT’: German format (DD.MM.YYYY or DD/MM/YYYY)
- ’en-US’: US format (MM/DD/YYYY with AM/PM)
- ’en-GB’: UK format (DD/MM/YYYY with 24-hour time)
- ‘sv-SE’: Swedish/ISO format (YYYY-MM-DD)
Type: CultureInfo
DefaultValue: '[System.Globalization.CultureInfo]::CurrentCulture'
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: 6
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
Specifies the path to the DNS debug log file to parse.
Supports arrays for processing multiple files.
Accepts pipeline input from Get-ChildItem or other file-producing cmdlets.
Type: String[]
DefaultValue: ''
SupportsWildcards: false
Aliases:
- FullName
- FilePath
- InputPath
- File
- Path
ParameterSets:
- Name: (All)
Position: 0
IsRequired: true
ValueFromPipeline: true
ValueFromPipelineByPropertyName: true
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-NoDetailsParsing
Skips parsing PACKET detail blocks into structured JSON format.
When specified, PACKET records with detail blocks will have the TCP/UDP info line in the
Information column, but the Details column will remain empty.
This significantly improves
processing performance for large log files when detailed packet structure analysis is not needed.
Use this switch when:
- Processing very large log files (100MB+) and only need basic query information
- Detail structure (Message flags, DNS sections) is not required for analysis
- Maximizing parsing speed is more important than data completeness
Performance impact: Can improve processing speed by 30-50% for logs with many PACKET detail blocks.
Type: SwitchParameter
DefaultValue: False
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-OutputCulture
Specifies the culture/locale to use for formatting date/time values in the output CSV files.
Controls how DateTime values are written to the CSV.
Use this when CSV files will be consumed
by applications or systems with specific regional settings.
Default: Current culture
Common examples:
- ’en-US’: US format (MM/DD/YYYY)
- ‘de-DE’: German format (DD.MM.YYYY)
- ‘sv-SE’ or InvariantCulture: ISO format (YYYY-MM-DD) for maximum compatibility
Type: CultureInfo
DefaultValue: '[System.Globalization.CultureInfo]::CurrentCulture'
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: 7
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-OutputFile
Specifies the path for the output CSV file.
If not specified, uses the input filename with .csv extension
in the same directory as the input file.
Important: Must be a file path, not a directory.
If you want to use the input file’s directory with
a custom name, specify the full path including filename.
Type: String
DefaultValue: ''
SupportsWildcards: false
Aliases:
- Output
- Destination
- OutFile
- OutputPath
ParameterSets:
- Name: (All)
Position: 1
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-OutputType
Specifies the type of output to generate.
Valid values:
- ‘CSV’: Generate only the data file with all parsed log entries
- ‘Statistic’: Generate only the statistics files with aggregated metrics
- ‘Both’: Generate both data and statistics files (default)
Default: Both
When statistics are generated, two separate files are created:
- ‘_Statistic.csv’: Summary counts per context type per day (Date, Context, Count, ComputerName)
- ‘_PacketStatistic.csv’: Detailed PACKET counts per day by client IP, protocol, direction,
and query type (Date, ClientIP, Protocol, Direction, QuestionType, Count, ComputerName)
Type: String
DefaultValue: Both
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: 4
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-RemoveSourceFile
Removes the source DNS debug log file after successful processing.
Use this for automated log processing pipelines or disk space management.
The source file is
only removed if processing completes successfully and all output files are created.
Safety: Cannot be used with -SkipHeaderValidation to prevent accidental deletion of invalid files.
Warning: Source files are permanently deleted.
Ensure output files are valid before using this option.
Type: SwitchParameter
DefaultValue: False
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
Bypasses the DNS debug log header validation check.
By default, the cmdlet validates that input files have a valid DNS Server debug log header.
Use this switch to process files without validation, which can be useful for:
- Modified or custom log formats
- Troubleshooting validation issues
- Non-standard or pre-processed logs
Warning: May result in processing errors if the file is not a valid DNS log.
Type: SwitchParameter
DefaultValue: False
SupportsWildcards: false
Aliases: []
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
-WhatIf
Shows what would happen if the cmdlet runs.
The cmdlet is not run.
When specified, displays detailed information about the operations that would be performed
without actually executing them.
Useful for:
- Previewing which files would be processed
- Verifying output file paths before processing
- Testing scripts before running in production
Type: SwitchParameter
DefaultValue: ''
SupportsWildcards: false
Aliases:
- wi
ParameterSets:
- Name: (All)
Position: Named
IsRequired: false
ValueFromPipeline: false
ValueFromPipelineByPropertyName: false
ValueFromRemainingArguments: false
DontShow: false
AcceptedValues: []
HelpMessage: ''
CommonParameters
This cmdlet supports the common parameters: -Debug, -ErrorAction, -ErrorVariable,
-InformationAction, -InformationVariable, -OutBuffer, -OutVariable, -PipelineVariable,
-ProgressAction, -Verbose, -WarningAction, and -WarningVariable. For more information, see
about_CommonParameters.
System.String[]
NOTES
Version : 1.7.0.0
Author : Andi Bellstedt, Copilot
Date : 2026-01-25
Keywords : Microsoft Windows Server, DNSServer, DNS, DebugLog, LogParser
6.1 - Practical usage in a Domain Environment (GPO-driven collection and conversion)
This example demonstrates how to implement a GPO-driven workflow for collecting and converting DNS debug logs on domain controllers.
This document outlines a practical, end-to-end example of running DNSServer.DebugLogParser in an Active Directory domain environment, focused on converting Windows DNS Server debug logs on domain controllers.
This example is accompanied by a ZIP archive, which provide the policy artifacts used to implement the workflow described here.
The most relevant artifacts are backup manifest, GPO report, Files.xml, Set-DNSServerDebugLogging.ps1, and ScheduledTasks.xml.
Scenario
- Multiple domain controllers (DCs) host the DNS Server role.
- DNS debug logging is enabled and configured consistently on each DC via a scheduled task (writing log files to
C:\Administration\Logs\DNSServer). - A centrally managed process converts logs into CSV for:
- security analytics
- operational reporting
- troubleshooting
- compliance/retention
Target outcomes
- Consistent conversion settings across all DCs
- Predictable output location and naming
- Optional compression to reduce storage footprint
- Optional statistics outputs for quick daily rollups
- Minimal host-side risk, with explicit rerun and cleanup considerations
Suggested architecture
Collection model: local convert + central pull
- Each DC writes DNS debug logs to disk with rollover enabled.
- Each DC converts rotated
*.log files into a data CSV and statistics CSVs, then compresses the outputs into *.zip on a schedule (Task Scheduler). - Outputs are written next to the log files so the pipeline stays simple.
- A central server collects the
*.zip outputs, for example via file share ingestion, scheduled copy, SIEM forwarder, or an agent-based collector.
This model minimizes network reads of large raw log files and keeps parsing close to the data.
GPO workflow
The workflow is implemented through Group Policy (computer configuration) to ensure consistent settings across all domain controllers.
Reference implementation included in this repository (GPO report):
- Archive/report name:
T0-C-Analytics-DNSDebugLogging - Backup ID:
{2B6F16BC-0E7C-4787-83D7-2854FED882EE} - GPO link target:
corp.company.com/Domain Controllers - Item filter (used for both file deployment and scheduled tasks): only applies if
C:\Windows\System32\dns.exe exists
1) Prerequisites (folders + module)
The provided backup assumes these folders already exist. Add separate GPP items if you want the deployment to create them automatically:
C:\Administration\ScriptsC:\Administration\Logs\DNSServer
The provided backup also assumes Convert-DNSDebugLogFile is already available on the DCs. The conversion task starts Windows PowerShell 5.1 with -NoProfile and does not import the module explicitly, so the module must be installed in a machine-wide Windows PowerShell module path that is visible to LocalSystem. Recommended approaches:
- Install DNSServer.DebugLogParser on the DCs. For example, from PowerShell Gallery (if policy allows).
- Deploy the module via internal repo / file share so it is discoverable in
$env:PSModulePath - Add an explicit
Import-Module to the task action if you want deterministic loading behavior
2) Deploy the debug logging configuration script (GPP Files)
The GPO deploys the script:
- Source (in SYSVOL via GPP):
%GptPath%\Preferences\Files\Set-DNSServerDebugLogging.ps1 - Target (on each DC):
C:\Administration\Scripts\Set-DNSServerDebugLogging.ps1
This is implemented in the GPP Files preference item in Files.xml.
The GPO creates a scheduled task named Set-DNSServerDebugLogging.
- Security context in the supplied backup:
SYSTEM with logon type S4U - Trigger in the supplied backup: daily (start boundary
2025-03-01T00:00:01) - Action in ScheduledTasks.xml:
powershell.exe -ExecutionPolicy RemoteSigned -command " & { C:\Administration\Scripts\Set-DNSServerDebugLogging.ps1 }"- Working directory:
C:\Administration\Scripts
The linked Set-DNSServerDebugLogging.ps1 script configures DNS debug logging via Get-DnsServerDiagnostics / Set-DnsServerDiagnostics and (notably):
- Enables logging to file + rollover
- Writes to:
C:\Administration\Logs\DNSServer\DnsDebugLog_<COMPUTERNAME>.<Domain>_.log - Uses a 10 MB rollover size per file
- Captures primarily query-related activity (queries + notifications + updates + question transactions) and excludes full packet logging
4) Scheduled task: convert rotated debug logs to compressed CSV
The GPO creates a scheduled task named Convert-DNSDebugLogs.
- Security context in the supplied backup:
SYSTEM with logon type InteractiveToken - Trigger in the supplied backup: daily (start boundary
2026-01-01T00:30:00) - Working directory:
C:\Administration\Logs\DNSServer - Action in ScheduledTasks.xml (formatted for readability):
Get-ChildItem .\*.log |
Sort-Object lastwritetime, Name -Descending |
Select-Object -Skip 1 |
Convert-DNSDebugLogFile `
-ComputerName $env:COMPUTERNAME `
-Delimiter ';' `
-OutputType Both `
-ContextFilter Packet `
-OutputCulture sv-SE `
-CompressOutput
Design notes:
Select-Object -Skip 1 intentionally avoids processing the newest (active) log file.- That means current data is exported only after rollover; on low-volume DCs, the active log may stay unprocessed for more than a day.
- Because Convert-DNSDebugLogFile defaults
-OutputFile to “same folder, same name, .csv”, outputs land next to the *.log inputs. - With
-CompressOutput, each processed log produces a *.zip and the intermediate CSVs are removed. - Unless you archive or delete processed
*.log files, later runs will reprocess every non-active log again. - The task throws if
$Error.Count -gt 0 to signal a failed run.
5) Central ingestion
Options (pick one):
- File share ingestion: DC writes (or copies)
C:\Administration\Logs\DNSServer\*.zip to \\fileserver\share\dns\$env:COMPUTERNAME\... (grant share and NTFS rights to the DC computer accounts or the Domain Controllers group if the task runs as SYSTEM) - Pull model: central job reads
\\dc\C$\Administration\Logs\DNSServer\*.zip (least preferred; requires admin shares) - Agent forwarder: SIEM / log pipeline that ships the
*.zip outputs
Operational considerations
- Least privilege: tasks run as
SYSTEM; ensure the local folders are writable and that any UNC targets grant access to the computer account if used. - Signing policy: both tasks use
-ExecutionPolicy RemoteSigned; sign or unblock the deployed script and module according to your policy. - Disk usage:
-CompressOutput helps significantly, but this workflow does not remove source logs; plan retention and cleanup. - Re-processing behavior: unless you archive or delete processed logs, the conversion task will process every non-active
*.log file again on later runs. This is simple and robust, but it can overwrite outputs and create duplicate downstream ingestion if your collector does not deduplicate. - Multi-DC consolidation:
-ComputerName $env:COMPUTERNAME is included so consolidated datasets remain traceable. - Validation: header validation remains enabled because the task does not use
-SkipHeaderValidation (recommended).
Validate and adapt (using the ZIP)
Use the ZIP archive as the reference implementation, then align the following aspects to your environment:
- Target scope: which DCs / OUs receive the policy
- Execution identity: confirm both scheduled tasks use the intended logon type (
S4U vs InteractiveToken) or normalize them to your standard - Folder creation: decide whether
C:\Administration\Scripts and C:\Administration\Logs\DNSServer are pre-staged elsewhere or should be created by additional GPP items - Paths: confirm
C:\Administration\Scripts and C:\Administration\Logs\DNSServer match your standards - Retention: decide whether to keep raw logs and for how long (especially if enabling cleanup options)
- Ingestion: confirm where CSV/ZIP outputs are written and how they are collected centrally
If you want to validate the exact GPO configuration without importing it, the authoritative sources in this repo are:
6.3 - Security Analysis Workflow with SQL Server
Convert DNS debug logs to CSV with DNSServer.DebugLogParser, import the result into SQL Server, and run a simple detection query for suspicious TXT record activity.
This example shows a practical workflow for security analytics: parse a DNS
debug log with Convert-DNSDebugLogFile, import the generated CSV into SQL
Server, and run a query that highlights unusually high volumes of TXT record
lookups.
For best interoperability, this example writes timestamps in an ISO-like format
by using -OutputCulture 'sv-SE'.
Required modules
This example uses the following PowerShell modules:
DNSServer.DebugLogParserSqlServer
Install them if needed:
Install-Module -Name DNSServer.DebugLogParser -Scope CurrentUser
Install-Module -Name SqlServer -Scope CurrentUser
Scenario
Use this workflow when you want to move parsed DNS debug log data into SQL
Server so you can:
- search large datasets efficiently
- build repeatable detection queries
- correlate activity across multiple DNS servers
- retain normalized data for later investigation
Output of the conversion step
Convert-DNSDebugLogFile does not write directly to SQL Server. It first
creates a CSV file. That CSV file is the dataset imported into the database.
In this example:
- input log:
C:\Administration\Logs\DNS\dns.log - generated CSV:
C:\Administration\Logs\DNS\dns.csv - destination table:
dbo.DNSQueries
Create the target table
Run the following statement once in SQL Server to create the target table.
IF OBJECT_ID('dbo.DNSQueries', 'U') IS NULL
BEGIN
CREATE TABLE dbo.DNSQueries (
DateTime datetime2(0) NOT NULL,
ThreadId int NULL,
Context nvarchar(20) NULL,
PacketId int NULL,
Protocol nvarchar(10) NULL,
Direction nvarchar(10) NULL,
ClientIP nvarchar(64) NULL,
Xid nvarchar(16) NULL,
Type nvarchar(16) NULL,
Opcode nvarchar(16) NULL,
FlagsHex nvarchar(16) NULL,
FlagsChar nvarchar(16) NULL,
ResponseCode nvarchar(32) NULL,
QuestionType nvarchar(32) NULL,
QuestionName nvarchar(512) NULL,
Information nvarchar(max) NULL,
Details nvarchar(max) NULL,
ComputerName nvarchar(256) NULL
);
END;
Convert the log and import the CSV
The following PowerShell example performs the full workflow:
- imports the required modules
- converts the DNS debug log to CSV
- loads the generated CSV
- bulk imports the rows into SQL Server
# Requires -Modules DNSServer.DebugLogParser, SqlServer
Import-Module -Name DNSServer.DebugLogParser -ErrorAction Stop
Import-Module -Name SqlServer -ErrorAction Stop
$logPath = 'C:\Administration\Logs\DNS\dns.log'
$csvPath = 'C:\Administration\Logs\DNS\dns.csv'
$serverInstance = 'SQLServer'
$databaseName = 'DNSLogs'
$delimiter = ';'
$createTableSql = @'
IF OBJECT_ID('dbo.DNSQueries', 'U') IS NULL
BEGIN
CREATE TABLE dbo.DNSQueries (
DateTime datetime2(0) NOT NULL,
ThreadId int NULL,
Context nvarchar(20) NULL,
PacketId int NULL,
Protocol nvarchar(10) NULL,
Direction nvarchar(10) NULL,
ClientIP nvarchar(64) NULL,
Xid nvarchar(16) NULL,
Type nvarchar(16) NULL,
Opcode nvarchar(16) NULL,
FlagsHex nvarchar(16) NULL,
FlagsChar nvarchar(16) NULL,
ResponseCode nvarchar(32) NULL,
QuestionType nvarchar(32) NULL,
QuestionName nvarchar(512) NULL,
Information nvarchar(max) NULL,
Details nvarchar(max) NULL,
ComputerName nvarchar(256) NULL
);
END
'@
Convert-DNSDebugLogFile `
-InputFile $logPath `
-ComputerName 'DNS01' `
-OutputType CSV `
-OutputFile $csvPath `
-Delimiter $delimiter `
-OutputCulture 'sv-SE'
$rows = Import-Csv -Path $csvPath -Delimiter $delimiter
if (-not $rows) {
throw "The generated CSV file '$csvPath' does not contain any rows."
}
$dataTable = [System.Data.DataTable]::new()
foreach ($columnName in $rows[0].PSObject.Properties.Name) {
$null = $dataTable.Columns.Add($columnName, [string])
}
foreach ($row in $rows) {
$dataRow = $dataTable.NewRow()
foreach ($column in $dataTable.Columns) {
$columnName = $column.ColumnName
$dataRow[$columnName] = $row.$columnName
}
$null = $dataTable.Rows.Add($dataRow)
}
$connectionString = "Server=$serverInstance;Database=$databaseName;Integrated Security=True"
$connection = [System.Data.SqlClient.SqlConnection]::new($connectionString)
try {
$connection.Open()
$command = $connection.CreateCommand()
$command.CommandText = $createTableSql
$null = $command.ExecuteNonQuery()
$bulkCopy = [System.Data.SqlClient.SqlBulkCopy]::new($connection)
$bulkCopy.DestinationTableName = 'dbo.DNSQueries'
foreach ($column in $dataTable.Columns) {
$null = $bulkCopy.ColumnMappings.Add($column.ColumnName, $column.ColumnName)
}
$bulkCopy.WriteToServer($dataTable)
}
finally {
$connection.Dispose()
}
Query for suspicious TXT record activity
Once the data is in SQL Server, you can search for clients that issue unusually
high numbers of TXT record queries.
SELECT
ComputerName,
ClientIP,
QuestionName,
COUNT(*) AS QueryCount
FROM dbo.DNSQueries
WHERE QuestionType = 'TXT'
GROUP BY
ComputerName,
ClientIP,
QuestionName
HAVING COUNT(*) > 100
ORDER BY QueryCount DESC;
If you prefer to run the query from PowerShell, use Invoke-Sqlcmd from the
SqlServer module:
$query = @'
SELECT
ComputerName,
ClientIP,
QuestionName,
COUNT(*) AS QueryCount
FROM dbo.DNSQueries
WHERE QuestionType = 'TXT'
GROUP BY
ComputerName,
ClientIP,
QuestionName
HAVING COUNT(*) > 100
ORDER BY QueryCount DESC;
'@
Invoke-Sqlcmd `
-ServerInstance 'SQLServer' `
-Database 'DNSLogs' `
-Query $query
Why TXT queries are interesting
High volumes of TXT record lookups can be worth reviewing because they may
indicate:
- DNS tunneling
- data exfiltration over DNS
- abuse of TXT records by malware or tooling
- unusually noisy or misconfigured clients
This query is only a starting point. In production, you should tune the
threshold and add filters that match your environment.
Operational notes
Import-Csv reads the full file into memory. For very large log exports,
consider a streaming approach instead of building a full DataTable.- Keep
-ComputerName in the conversion step so records remain attributable
after central ingestion. - Use a consistent delimiter and culture during export and import.
- Validate retention, indexing, and access control in SQL Server before using
this workflow for long-term storage.