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improve trace-visualizer UX
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@ -1,17 +1,12 @@
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Trace visualizer is a tool for representation of a tracing data as a Gantt diagram.
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# Quick start
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For now this tool is not integrated into ClickHouse and requires a lot of manual adjustments.
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```bash
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cd utils/trace-visualizer
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python3 -m http.server
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```
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Open [localhost](http://localhost:8000). It will show an example of data. To show your tracing data you have to put it in JSON format near `index.html` and change call to `fetchData()` function at the bottom of `index.html`. (Do not forget to disable browser caching while changing it).
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For now this tool is not integrated into ClickHouse and requires manual actions. Open `trace-visualizer/index.html` in your browser. It will show an example of data. To visualize your data click `Load` button and select your trace data JSON file.
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# Visualizing query trace
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First of all [opentelemetry_span_log](https://clickhouse.com/docs/en/operations/opentelemetry/) system table must be enabled to save query traces. Then run a query you want to trace with a setting:
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```sql
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set opentelemetry_start_trace_probability=1;
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SET opentelemetry_start_trace_probability=1;
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SELECT 1;
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```
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@ -22,10 +17,9 @@ SELECT DISTINCT trace_id FROM system.opentelemetry_span_log ORDER BY query_start
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To obtain JSON data suitable for visualizing run:
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```sql
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SELECT tuple (parent_span_id, attribute['clickhouse.thread_id'] || attribute['thread_number'] as thread_id)::Tuple(parent_span_id UInt64, thread_id String) as group, operation_name, start_time_us, finish_time_us, sipHash64(operation_name) as color, attribute
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from system.opentelemetry_span_log
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SELECT tuple (leftPad(attribute['clickhouse.thread_id'] || attribute['thread_number'], 10, '0') as thread_id, parent_span_id)::Tuple(thread_id String, parent_span_id UInt64) as group, operation_name, start_time_us, finish_time_us, sipHash64(operation_name) as color, attribute
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FROM system.opentelemetry_span_log
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WHERE trace_id = 'your-trace-id'
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ORDER BY group ASC
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FORMAT JSON SETTINGS output_format_json_named_tuples_as_objects = 1;
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```
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@ -14,7 +14,30 @@
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<script language="javascript" type="text/javascript" src="js/d3.v4.min.js"></script>
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<script language="javascript" type="text/javascript" src="js/d3-tip-0.8.0-alpha.1.js"></script>
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<script language="javascript" type="text/javascript" src="js/d3-gantt.js"></script>
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<div class="container-fluid" id="toolbar" style="margin:20px;margin-right:50px">
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<div class="pull-right">
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<button type="button" class="btn btn-primary" id="toolbar-load" data-toggle="modal" data-target="#loadModal">Load</button>
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</div>
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</div>
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<div id="placeholder" class="chart-placeholder"></div>
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<div class="modal fade" id="loadModal" tabindex="-1" role="dialog" aria-labelledby="loadModalLabel">
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<div class="modal-dialog" role="document">
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<div class="modal-content">
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<div class="modal-header">
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<button type="button" class="close" data-dismiss="modal" aria-label="Close"><span
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aria-hidden="true">×</span></button>
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<h4 class="modal-title" id="loadModalLabel">Load Trace JSON</h4>
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</div>
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<div class="modal-body">
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<input type="file" id="loadFiles" value="Load" /><br />
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</div>
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<div class="modal-footer">
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<button type="button" class="btn btn-default" data-dismiss="modal">Cancel</button>
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<button type="button" class="btn btn-primary" id="btnDoLoad">Load</button>
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</div>
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</div>
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</div>
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</div>
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</body>
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</html>
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@ -27,13 +50,16 @@
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{ t1: 500, t2: 800, band: "band2", color: "#f8f", text: "test\nif\nnew\nline\nworks\nhere?" }
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];
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var chart = d3.gantt()
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.height(window.innerHeight - $("#placeholder")[0].getBoundingClientRect().y - window.scrollY)
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.selector("#placeholder");
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let chart_height = window.innerHeight - $("#placeholder")[0].getBoundingClientRect().y - 80;
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var data = null;
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var chart = null;
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function renderChart(parsed) {
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data = parsed;
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chart = d3.gantt().height(chart_height).selector("#placeholder");
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chart(data);
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}
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// Error message popup
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$("<div id='errmsg'></div>").css({
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position: "absolute",
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display: "none",
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@ -46,8 +72,7 @@
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function fetchData(dataurl, parser = x => x) {
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function onDataReceived(json, textStatus, xhr) {
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$("#errmsg").hide();
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data = parser(json);
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chart(data);
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renderChart(parser(json));
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}
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function onDataError(xhr, error) {
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@ -70,6 +95,22 @@
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}
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}
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$("#btnDoLoad").click(function(){
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let element = document.getElementById('loadFiles');
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let files = element.files;
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if (files.length <= 0) {
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return false;
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}
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let fr = new FileReader();
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fr.onload = function(e) {
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$("#errmsg").hide();
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renderChart(parseClickHouseTrace(JSON.parse(e.target.result)));
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}
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fr.readAsText(files.item(0));
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element.value = '';
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$('#loadModal').modal('hide');
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});
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function parseClickHouseTrace(json) {
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let min_time_us = Number.MAX_VALUE;
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for (let i = 0; i < json.data.length; i++) {
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@ -114,5 +155,5 @@
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}
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fetchData(); // do not fetch, just draw example_json w/o parsing
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//fetchData("your-traces.json" , parseClickHouseTrace);
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//fetchData("your-traces.json", parseClickHouseTrace);
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</script>
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3
utils/trace-visualizer/js/d3-gantt.js
vendored
3
utils/trace-visualizer/js/d3-gantt.js
vendored
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initAxis();
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// clear previous chart (if any)
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d3.select(selector).selectAll("svg").remove();
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// create svg element
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svg = d3.select(selector)
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.append("svg")
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