1
2# Requires libmongocrypt 1.8.0.
3runOn:
4 - minServerVersion: "7.0.0"
5 # Skip QEv2 (also referred to as FLE2v2) tests on Serverless. Unskip once Serverless enables the QEv2 protocol.
6 # FLE 2 Encrypted collections are not supported on standalone.
7 # Tests for Decimal (without precision) must only run against a replica set. Decimal (without precision) queries are expected to take a long time and may exceed the default mongos timeout.
8 topology: [ "replicaset" ]
9 # Skip tests for "rangePreview" algorithm on Server 8.0+. Server 8.0 drops "rangePreview" and adds "range".
10 maxServerVersion: "7.99.99"
11database_name: &database_name "default"
12collection_name: &collection_name "default"
13data: []
14encrypted_fields: &encrypted_fields {'fields': [{'keyId': {'$binary': {'base64': 'EjRWeBI0mHYSNBI0VniQEg==', 'subType': '04'}}, 'path': 'encryptedDecimalNoPrecision', 'bsonType': 'decimal', 'queries': {'queryType': 'rangePreview', 'contention': {'$numberLong': '0'}, 'sparsity': {'$numberLong': '1'}}}]}
15key_vault_data: [ {'_id': {'$binary': {'base64': 'EjRWeBI0mHYSNBI0VniQEg==', 'subType': '04'}}, 'keyMaterial': {'$binary': {'base64': 'sHe0kz57YW7v8g9VP9sf/+K1ex4JqKc5rf/URX3n3p8XdZ6+15uXPaSayC6adWbNxkFskuMCOifDoTT+rkqMtFkDclOy884RuGGtUysq3X7zkAWYTKi8QAfKkajvVbZl2y23UqgVasdQu3OVBQCrH/xY00nNAs/52e958nVjBuzQkSb1T8pKJAyjZsHJ60+FtnfafDZSTAIBJYn7UWBCwQ==', 'subType': '00'}}, 'creationDate': {'$date': {'$numberLong': '1648914851981'}}, 'updateDate': {'$date': {'$numberLong': '1648914851981'}}, 'status': {'$numberInt': '0'}, 'masterKey': {'provider': 'local'}} ]
16tests:
17 - description: "FLE2 Range Decimal. Insert and Find."
18 clientOptions:
19 autoEncryptOpts:
20 kmsProviders:
21 local: {'key': {'$binary': {'base64': 'Mng0NCt4ZHVUYUJCa1kxNkVyNUR1QURhZ2h2UzR2d2RrZzh0cFBwM3R6NmdWMDFBMUN3YkQ5aXRRMkhGRGdQV09wOGVNYUMxT2k3NjZKelhaQmRCZGJkTXVyZG9uSjFk', 'subType': '00'}}}
22 operations:
23 - name: insertOne
24 arguments:
25 document: &doc0 { _id: 0, encryptedDecimalNoPrecision: { $numberDecimal: "0" } }
26 - name: insertOne
27 arguments:
28 document: &doc1 { _id: 1, encryptedDecimalNoPrecision: { $numberDecimal: "1" } }
29 - name: find
30 arguments:
31 filter: { encryptedDecimalNoPrecision: { $gt: { $numberDecimal: "0" } } }
32 result: [*doc1]
33 expectations:
34 - command_started_event:
35 command:
36 listCollections: 1
37 filter:
38 name: *collection_name
39 command_name: listCollections
40 - command_started_event:
41 command:
42 find: datakeys
43 filter: {
44 "$or": [
45 {
46 "_id": {
47 "$in": [
48 {'$binary': {'base64': 'EjRWeBI0mHYSNBI0VniQEg==', 'subType': '04'}}
49 ]
50 }
51 },
52 {
53 "keyAltNames": {
54 "$in": []
55 }
56 }
57 ]
58 }
59 $db: keyvault
60 readConcern: { level: "majority" }
61 command_name: find
62 - command_started_event:
63 command:
64 insert: *collection_name
65 documents:
66 - &doc0_encrypted { "_id": 0, "encryptedDecimalNoPrecision": { $$type: "binData" } }
67 ordered: true
68 encryptionInformation:
69 type: 1
70 schema:
71 default.default:
72 # libmongocrypt applies escCollection and ecocCollection to outgoing command.
73 escCollection: "enxcol_.default.esc"
74 ecocCollection: "enxcol_.default.ecoc"
75 <<: *encrypted_fields
76 command_name: insert
77 - command_started_event:
78 command:
79 insert: *collection_name
80 documents:
81 - &doc1_encrypted { "_id": 1, "encryptedDecimalNoPrecision": { $$type: "binData" } }
82 ordered: true
83 encryptionInformation:
84 type: 1
85 schema:
86 default.default:
87 # libmongocrypt applies escCollection and ecocCollection to outgoing command.
88 escCollection: "enxcol_.default.esc"
89 ecocCollection: "enxcol_.default.ecoc"
90 <<: *encrypted_fields
91 command_name: insert
92 - command_started_event:
93 command:
94 find: *collection_name
95 filter:
96 "encryptedDecimalNoPrecision": {
97 "$gt": {
98 "$binary": {
99 "base64": "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",
100 "subType": "06"
101 }
102 }
103 }
104 encryptionInformation:
105 type: 1
106 schema:
107 default.default:
108 # libmongocrypt applies escCollection and ecocCollection to outgoing command.
109 escCollection: "enxcol_.default.esc"
110 ecocCollection: "enxcol_.default.ecoc"
111 <<: *encrypted_fields
112 command_name: find
113 outcome:
114 collection:
115 # Outcome is checked using a separate MongoClient without auto encryption.
116 data:
117 -
118 {
119 "_id": {
120 "$numberInt": "0"
121 },
122 "encryptedDecimalNoPrecision": { $$type: "binData" },
123 "__safeContent__": [
124 {
125 "$binary": {
126 "base64": "5nRutVIyq7URVOVtbE4vM01APSIajAVnsShMwjBlzkM=",
127 "subType": "00"
128 }
129 },
130 {
131 "$binary": {
132 "base64": "rbf3AeBEv4wWFAKknqDxRW5cLNkFvbIs6iJjc6LShQY=",
133 "subType": "00"
134 }
135 },
136 {
137 "$binary": {
138 "base64": "n+XAuFnP8Dov9TnhGFxNx0K/MnVM9WbJ7RouEu0ndO0=",
139 "subType": "00"
140 }
141 },
142 {
143 "$binary": {
144 "base64": "yRXojuVdn5GQtD97qYlaCL6cOLmZ7Cvcb3wFjkLUIdM=",
145 "subType": "00"
146 }
147 },
148 {
149 "$binary": {
150 "base64": "DuIkdRPITRs55I4SZmgomAHCIsDQmXRhW8+MOznkzSk=",
151 "subType": "00"
152 }
153 },
154 {
155 "$binary": {
156 "base64": "SsBk+Et1lTbU+QRPx+xyJ/jMkmfG+QCvQEpip2YYrzA=",
157 "subType": "00"
158 }
159 },
160 {
161 "$binary": {
162 "base64": "crCIzOd8KhHvvUlX7M1v9bhvU4pLdTc+X2SuqoKU5Ek=",
163 "subType": "00"
164 }
165 },
166 {
167 "$binary": {
168 "base64": "YOWdCw4UrqnxkAaVjqmC4sKQDMVMHEpFGnlxpxdaU6E=",
169 "subType": "00"
170 }
171 },
172 {
173 "$binary": {
174 "base64": "M3SShp81Ff8tQ632qKbv9MUcN6wjDaBReI0VXNu6Xh4=",
175 "subType": "00"
176 }
177 },
178 {
179 "$binary": {
180 "base64": "gzHlSPxpM0hT75kQvWFzGlOxKvDoiKQZOr19V6l2zXI=",
181 "subType": "00"
182 }
183 },
184 {
185 "$binary": {
186 "base64": "s3JnppOGYw9SL2Q1kMAZs948v2F5PrpXjGei/HioDWs=",
187 "subType": "00"
188 }
189 },
190 {
191 "$binary": {
192 "base64": "cG6+3Gk/zEH68P/uuuwiAUVCuyJwa1LeV+t29FlPPAo=",
193 "subType": "00"
194 }
195 },
196 {
197 "$binary": {
198 "base64": "dupdvR3AyJtM+g9NDKiaLVOtGca387JQp8w+V03m7Ig=",
199 "subType": "00"
200 }
201 },
202 {
203 "$binary": {
204 "base64": "JqEQc5svj2jTvZ6LLA5ivE+kTb/0aRemSEmxk4G7Zrg=",
205 "subType": "00"
206 }
207 },
208 {
209 "$binary": {
210 "base64": "szcXXXKnob+p3SoM4yED2R920LeJ7cVsclPMFTe4CeI=",
211 "subType": "00"
212 }
213 },
214 {
215 "$binary": {
216 "base64": "o1QoGVXmuBdHwHm7aCtGMlMVKrjFdYvJXpoq6uhIAZ0=",
217 "subType": "00"
218 }
219 },
220 {
221 "$binary": {
222 "base64": "Jfm5wPlqqLCJRGQIqRq2NGmpn7s0Vrih2H3YAOoI2YU=",
223 "subType": "00"
224 }
225 },
226 {
227 "$binary": {
228 "base64": "zMHLb8ARbsYo8Ld05bqnGFf1Usha6EGb8QKwdSAyps0=",
229 "subType": "00"
230 }
231 },
232 {
233 "$binary": {
234 "base64": "yQdtq9lh5pugL7/i0Bj/PuZUUBUIzf+7wj1rl5y736w=",
235 "subType": "00"
236 }
237 },
238 {
239 "$binary": {
240 "base64": "wGWVZdO7qIuyDg/BqDgqjgoQ02h5YYgwXQB1oCin2NE=",
241 "subType": "00"
242 }
243 },
244 {
245 "$binary": {
246 "base64": "by9HMLj6NTEpgztZ5HSN6GxImkXPcaFINYDzgZY33X8=",
247 "subType": "00"
248 }
249 },
250 {
251 "$binary": {
252 "base64": "tWo0vbasi7bXmn/MsOx13VC1IsWtpx/nYp0uj4iMzdA=",
253 "subType": "00"
254 }
255 },
256 {
257 "$binary": {
258 "base64": "tQQpndUYd5O87lOtrGjH3wl9VsOK0ray7RMasL90sBM=",
259 "subType": "00"
260 }
261 },
262 {
263 "$binary": {
264 "base64": "cQjXEDCMsOpKLLf+vlTgIHA+cbSJdzqhbSX9Wvh95aA=",
265 "subType": "00"
266 }
267 },
268 {
269 "$binary": {
270 "base64": "7yMpU48IxK9SzP2cx3VnTownGEwFmeFofuuFT97SuuY=",
271 "subType": "00"
272 }
273 },
274 {
275 "$binary": {
276 "base64": "kSOx1kz0CmBgzKQHZlo65ZUY1DIv9A99JRm+Us2y6Ew=",
277 "subType": "00"
278 }
279 },
280 {
281 "$binary": {
282 "base64": "ubQpdPBe6/xvtr+AcXdfYLSvYCR4ot0tivehkCsupb4=",
283 "subType": "00"
284 }
285 },
286 {
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