Analytics API Developer Guide
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Get Report Metadata
Report metadata gives information about a report and its report type. It includes information on fields used in the report for filters, groupings, detailed data, and summaries. You can use the metadata to do several things.
- Find out what fields in the report type you can filter on and by what values.
- Build custom chart visualizations using the metadata information on fields, groupings, detailed data, and summaries.
- Change filters in the report metadata during a report run.
To get report metadata, send a GET request to the Describe resource.
Example
This GET request, /services/data/v29.0/analytics/reports/00OD0000001ZbP7MAK/describe, to the Describe resource returns metadata for a matrix report. This includes a bucket field, groupings, summaries, and a custom summary formula.
1{
2 "reportTypeMetadata": {
3 "categories": [
4 {
5 "label": "Opportunity Information",
6 "columns": {
7 "CREATED": {
8 "filterValues": [],
9 "label": "Created By",
10 "dataType": "string",
11 "filterable": true
12 },
13...
14 "TYPE": {
15 "filterValues": [
16 {
17 "name": "Add-On Business",
18 "label": "Add-On Business"
19 },
20 {
21 "name": "New Business",
22 "label": "New Business"
23 },
24 {
25 "name": "Services",
26 "label": "Services"
27 }
28 ],
29 "label": "Type",
30 "dataType": "picklist",
31 "filterable": true
32 },
33 }
34...
35 },
36 "reportExtendedMetadata": {
37 "detailColumnInfo": {
38 "OPPORTUNITY_NAME": {
39 "label": "Opportunity Name",
40 "dataType": "string"
41 },
42 "PROBABILITY": {
43 "label": "Probability (%)",
44 "dataType": "percent"
45 },
46 "EXP_AMOUNT": {
47 "label": "Expected Revenue",
48 "dataType": "currency"
49 },
50 "NEXT_STEP": {
51 "label": "Next Step",
52 "dataType": "string"
53 },
54 "BucketField_34840671": {
55 "label": "Industry",
56 "dataType": "string"
57 }
58 },
59 "aggregateColumnInfo": {
60 "RowCount": {
61 "label": "Record Count",
62 "dataType": "int",
63 "downGroupingContext": null,
64 "acrossGroupingContext": null
65 },
66 "FORMULA1": {
67 "label": "formula1",
68 "dataType": "double",
69 "downGroupingContext": "ALL_SUMMARY_LEVELS",
70 "acrossGroupingContext": "ALL_SUMMARY_LEVELS"
71 },
72 "s!EXP_AMOUNT": {
73 "label": "Sum of Expected Revenue",
74 "dataType": "currency",
75 "downGroupingContext": null,
76 "acrossGroupingContext": null
77 }
78 },
79 "groupingColumnInfo": {
80 "CLOSE_DATE": {
81 "label": "Close Date",
82 "dataType": "date",
83 "groupingLevel": 1
84 },
85 "STAGE_NAME": {
86 "label": "Stage",
87 "dataType": "picklist",
88 "groupingLevel": 0
89 },
90 "ACCOUNT_NAME": {
91 "label": "Account Name",
92 "dataType": "string",
93 "groupingLevel": 0
94 },
95 "ACCOUNT_LAST_ACTIVITY": {
96 "label": "Account: Last Activity",
97 "dataType": "date",
98 "groupingLevel": 1
99 }
100 }
101 },
102 "reportMetadata": {
103 "name": "Stuck Opportunities",
104 "id": "00OD0000001ZbP7MAK",
105 "currency": null,
106 "developerName": "StuckOpportunities",
107 "groupingsDown": [
108 {
109 "name": "ACCOUNT_NAME",
110 "sortOrder": "Asc",
111 "dateGranularity": "None"
112 },
113 {
114 "name": "CLOSE_DATE",
115 "sortOrder": "Desc",
116 "dateGranularity": "FiscalQuarter"
117 }
118 ],
119 "groupingsAcross": [
120 {
121 "name": "STAGE_NAME",
122 "sortOrder": "Desc",
123 "dateGranularity": "None"
124 },
125 {
126 "name": "ACCOUNT_LAST_ACTIVITY",
127 "sortOrder": "Asc",
128 "dateGranularity": "Week"
129 }
130 ],
131 "reportType": {
132 "type": "Opportunity",
133 "label": "Opportunities"
134 },
135 "aggregates": [
136 "s!EXP_AMOUNT",
137 "FORMULA1",
138 "RowCount"
139 ],
140 "reportFormat": "MATRIX",
141 "reportBooleanFilter": null,
142 "reportFilters": [
143 {
144 "value": "Closed Won,Closed Lost",
145 "column": "STAGE_NAME",
146 "operator": "notEqual"
147 },
148 {
149 "value": "50",
150 "column": "PROBABILITY",
151 "operator": "greaterThan"
152 }
153 ],
154 "detailColumns": [
155 "OPPORTUNITY_NAME",
156 "PROBABILITY",
157 "EXP_AMOUNT",
158 "NEXT_STEP",
159 "BucketField_34840671"
160 ]
161 }
162}