Use StartQuery
with an AWS SDK or CLI
The following code examples show how to use StartQuery
.
Action examples are code excerpts from larger programs and must be run in context. You can see this action in context in the following code example:
- JavaScript
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- SDK for JavaScript (v3)
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. /** * Wrapper for the StartQueryCommand. Uses a static query string * for consistency. * @param {[Date, Date]} dateRange * @param {number} maxLogs * @returns {Promise<{ queryId: string }>} */ async _startQuery([startDate, endDate], maxLogs = 10000) { try { return await this.client.send( new StartQueryCommand({ logGroupNames: this.logGroupNames, queryString: "fields @timestamp, @message | sort @timestamp asc", startTime: startDate.valueOf(), endTime: endDate.valueOf(), limit: maxLogs, }), ); } catch (err) { /** @type {string} */ const message = err.message; if (message.startsWith("Query's end date and time")) { // This error indicates that the query's start or end date occur // before the log group was created. throw new DateOutOfBoundsError(message); } throw err; } }
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For API details, see StartQuery in AWS SDK for JavaScript API Reference.
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- Python
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- SDK for Python (Boto3)
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Note
There's more on GitHub. Find the complete example and learn how to set up and run in the AWS Code Examples Repository
. def perform_query(self, date_range): """ Performs the actual CloudWatch log query. :param date_range: A tuple representing the start and end datetime for the query. :type date_range: tuple :return: A list containing the query results. :rtype: list """ client = boto3.client("logs") try: try: start_time = round( self.date_utilities.convert_iso8601_to_unix_timestamp(date_range[0]) ) end_time = round( self.date_utilities.convert_iso8601_to_unix_timestamp(date_range[1]) ) response = client.start_query( logGroupName=self.log_groups, startTime=start_time, endTime=end_time, queryString="fields @timestamp, @message | sort @timestamp asc", limit=self.limit, ) query_id = response["queryId"] except client.exceptions.ResourceNotFoundException as e: raise DateOutOfBoundsError(f"Resource not found: {e}") while True: time.sleep(1) results = client.get_query_results(queryId=query_id) if results["status"] in [ "Complete", "Failed", "Cancelled", "Timeout", "Unknown", ]: return results.get("results", []) except DateOutOfBoundsError: return [] def _initiate_query(self, client, date_range, max_logs): """ Initiates the CloudWatch logs query. :param date_range: A tuple representing the start and end datetime for the query. :type date_range: tuple :param max_logs: The maximum number of logs to retrieve. :type max_logs: int :return: The query ID as a string. :rtype: str """ try: start_time = round( self.date_utilities.convert_iso8601_to_unix_timestamp(date_range[0]) ) end_time = round( self.date_utilities.convert_iso8601_to_unix_timestamp(date_range[1]) ) response = client.start_query( logGroupName=self.log_groups, startTime=start_time, endTime=end_time, queryString="fields @timestamp, @message | sort @timestamp asc", limit=max_logs, ) return response["queryId"] except client.exceptions.ResourceNotFoundException as e: raise DateOutOfBoundsError(f"Resource not found: {e}")
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For API details, see StartQuery in AWS SDK for Python (Boto3) API Reference.
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For a complete list of AWS SDK developer guides and code examples, see Using CloudWatch Logs with an AWS SDK. This topic also includes information about getting started and details about previous SDK versions.