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API","i-lucide-braces","\u002Fdata-api","14.data-api",[600,603,607,611,615,619,623,627,631,635,639,643],{"title":118,"path":601,"stem":602},"\u002Fdata-api\u002Foverview","14.data-api\u002F01.overview",{"title":604,"path":605,"stem":606},"Authentication","\u002Fdata-api\u002Fauthentication","14.data-api\u002F02.authentication",{"title":608,"path":609,"stem":610},"Reading","\u002Fdata-api\u002Freading","14.data-api\u002F03.reading",{"title":612,"path":613,"stem":614},"Filtering","\u002Fdata-api\u002Ffiltering","14.data-api\u002F04.filtering",{"title":616,"path":617,"stem":618},"Aggregating","\u002Fdata-api\u002Faggregating","14.data-api\u002F05.aggregating",{"title":620,"path":621,"stem":622},"Writing","\u002Fdata-api\u002Fwriting","14.data-api\u002F06.writing",{"title":624,"path":625,"stem":626},"Nested Writes","\u002Fdata-api\u002Fnested-writes","14.data-api\u002F07.nested-writes",{"title":628,"path":629,"stem":630},"Transactions","\u002Fdata-api\u002Ftransactions","14.data-api\u002F08.transactions",{"title":632,"path":633,"stem":634},"Calling Functions","\u002Fdata-api\u002Fcalling-functions","14.data-api\u002F09.calling-functions",{"title":636,"path":637,"stem":638},"OpenAPI","\u002Fdata-api\u002Fopenapi","14.data-api\u002F10.openapi",{"title":640,"path":641,"stem":642},"Routes","\u002Fdata-api\u002Froutes","14.data-api\u002F11.routes",{"title":644,"path":645,"stem":646},"A client, end to end","\u002Fdata-api\u002Fa-client","14.data-api\u002F12.a-client",{"title":172,"icon":648,"path":649,"stem":650,"children":651,"page":62},"i-lucide-settings","\u002Fsettings","15.settings",[652,655,659,662,665],{"title":189,"path":653,"stem":654},"\u002Fsettings\u002Fgeneral","15.settings\u002F01.general",{"title":656,"path":657,"stem":658},"Access","\u002Fsettings\u002Faccess","15.settings\u002F02.access",{"title":207,"path":660,"stem":661},"\u002Fsettings\u002Fsecurity","15.settings\u002F03.security",{"title":595,"path":663,"stem":664},"\u002Fsettings\u002Fdata-api","15.settings\u002F04.data-api",{"title":666,"path":667,"stem":668},"Features","\u002Fsettings\u002Ffeatures","15.settings\u002F05.features",{"title":670,"icon":671,"path":672,"stem":673,"children":674,"page":62},"User Profile","i-lucide-circle-user","\u002Fuser-profile","16.user-profile",[675,679,682,686,690],{"title":676,"path":677,"stem":678},"My Account","\u002Fuser-profile\u002Fmy-account","16.user-profile\u002F01.my-account",{"title":525,"path":680,"stem":681},"\u002Fuser-profile\u002Fsessions","16.user-profile\u002F02.sessions",{"title":683,"path":684,"stem":685},"Tokens","\u002Fuser-profile\u002Ftokens","16.user-profile\u002F03.tokens",{"title":687,"path":688,"stem":689},"Preferences","\u002Fuser-profile\u002Fpreferences","16.user-profile\u002F04.preferences",{"title":539,"path":691,"stem":692},"\u002Fuser-profile\u002Factivity","16.user-profile\u002F05.activity",{"title":694,"icon":695,"path":696,"stem":697,"children":698,"page":62},"AI Agents","i-lucide-bot","\u002Fai-agents","17.ai-agents",[699,702,705,709,713,717],{"title":118,"path":700,"stem":701},"\u002Fai-agents\u002Foverview","17.ai-agents\u002F01.overview",{"title":683,"path":703,"stem":704},"\u002Fai-agents\u002Ftokens","17.ai-agents\u002F02.tokens",{"title":706,"path":707,"stem":708},"MCP Server","\u002Fai-agents\u002Fmcp-server","17.ai-agents\u002F03.mcp-server",{"title":710,"path":711,"stem":712},"Recipes","\u002Fai-agents\u002Frecipes","17.ai-agents\u002F04.recipes",{"title":714,"path":715,"stem":716},"Tools","\u002Fai-agents\u002Ftools","17.ai-agents\u002F05.tools",{"title":718,"path":719,"stem":720},"llms.txt","\u002Fai-agents\u002Fllms-txt","17.ai-agents\u002F06.llms-txt",{"title":722,"icon":723,"path":724,"stem":725,"children":726,"page":62},"Operations","i-lucide-server","\u002Foperations","18.operations",[727,731,735,739,743],{"title":728,"path":729,"stem":730},"Deployment","\u002Foperations\u002Fdeployment","18.operations\u002F01.deployment",{"title":732,"path":733,"stem":734},"PostgreSQL","\u002Foperations\u002Fpostgresql","18.operations\u002F02.postgresql",{"title":736,"path":737,"stem":738},"Public URL, Proxy and CORS","\u002Foperations\u002Fpublic-url-proxy-cors","18.operations\u002F03.public-url-proxy-cors",{"title":740,"path":741,"stem":742},"Backup and Restore","\u002Foperations\u002Fbackup-restore","18.operations\u002F04.backup-restore",{"title":744,"path":745,"stem":746},"Upgrading","\u002Foperations\u002Fupgrading","18.operations\u002F05.upgrading",{"title":748,"icon":749,"path":750,"stem":751,"children":752,"page":62},"Reference","i-lucide-library","\u002Freference","19.reference",[753,757,761,765,769],{"title":754,"path":755,"stem":756},"Query Language","\u002Freference\u002Fquery-language","19.reference\u002F01.query-language",{"title":758,"path":759,"stem":760},"Errors","\u002Freference\u002Ferrors","19.reference\u002F02.errors",{"title":762,"path":763,"stem":764},"Admin API","\u002Freference\u002Fadmin-api","19.reference\u002F03.admin-api",{"title":766,"path":767,"stem":768},"Authentication API","\u002Freference\u002Fauth-api","19.reference\u002F04.auth-api",{"title":770,"path":771,"stem":772},"Environment Variables","\u002Freference\u002Fenvironment","19.reference\u002F05.environment",{"id":774,"title":616,"admin":775,"body":776,"description":1439,"extension":1440,"links":775,"meta":1441,"navigation":1442,"path":617,"seo":1443,"stem":618,"__hash__":1444},"docs\u002F14.data-api\u002F05.aggregating.md",null,{"type":777,"value":778,"toc":1431},"minimark",[779,783,788,799,873,880,926,929,935,1016,1020,1026,1032,1232,1265,1269,1279,1285,1294,1298,1309,1341,1348,1352,1363,1405,1412,1416,1427],[780,781,782],"p",{},"A read can return aggregates instead of rows: totals, counts, averages, minimums and maximums, optionally per group. PostgreSQL computes them, under the same permissions and row filters as any read.",[784,785,787],"h2",{"id":786},"aggregates","Aggregates",[789,790,796],"pre",{"className":791,"code":793,"language":794,"meta":795},[792],"language-text","_\u003Cfunction>[\u003Cfield>]=\u003Coutput name>\n","text","",[797,798,793],"code",{"__ignoreMap":795},[800,801,802,815],"table",{},[803,804,805],"thead",{},[806,807,808,812],"tr",{},[809,810,811],"th",{},"Function",[809,813,814],{},"Returns",[816,817,818,829,839,849,859],"tbody",{},[806,819,820,826],{},[821,822,823],"td",{},[797,824,825],{},"_count[*]",[821,827,828],{},"the number of rows",[806,830,831,836],{},[821,832,833],{},[797,834,835],{},"_count[\u003Cfield>]",[821,837,838],{},"the number of rows where the field has a value",[806,840,841,846],{},[821,842,843],{},[797,844,845],{},"_sum[\u003Cfield>]",[821,847,848],{},"the total",[806,850,851,856],{},[821,852,853],{},[797,854,855],{},"_avg[\u003Cfield>]",[821,857,858],{},"the average",[806,860,861,870],{},[821,862,863,866,867],{},[797,864,865],{},"_min[\u003Cfield>]",", ",[797,868,869],{},"_max[\u003Cfield>]",[821,871,872],{},"the smallest and largest value",[780,874,875,876,879],{},"The output name is required. Fields can be relation paths. Aggregating a field needs ",[797,877,878],{},"READ"," on it.",[780,881,882,883,886,887,890,891,894,895,898,899,902,903,905,906,910,911,866,914,917,918,921,922,925],{},"Results keep PostgreSQL's types, and the JSON follows them: ",[797,884,885],{},"_count"," is a ",[797,888,889],{},"bigint",", and a ",[797,892,893],{},"_sum"," or ",[797,896,897],{},"_avg"," of a ",[797,900,901],{},"numeric"," column is ",[797,904,901],{},". Both arrive as ",[907,908,909],"strong",{},"strings"," (",[797,912,913],{},"\"31\"",[797,915,916],{},"\"1250.50\"","), so no precision is lost on large or decimal values. Convert them in your client. ",[797,919,920],{},"_min"," and ",[797,923,924],{},"_max"," keep the column's own type.",[780,927,928],{},"How many open orders, and when the oldest was reported:",[789,930,933],{"className":931,"code":932,"language":794,"meta":795},[792],"GET \u002Fapi\u002Fpublic\u002Ftable\u002Fwork_orders?where[status][_nin]=COMPLETED,CANCELLED&_count[*]=open&_min[reported_at]=oldest\n",[797,934,932],{"__ignoreMap":795},[789,936,940],{"className":937,"code":938,"language":939,"meta":795,"style":795},"language-json shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","{ \"data\": [ { \"open\": \"31\", \"oldest\": \"2026-09-28T14:10:00Z\" } ] }\n","json",[797,941,942],{"__ignoreMap":795},[943,944,947,951,954,958,961,964,967,970,972,976,978,980,982,986,988,991,993,996,998,1000,1002,1005,1007,1010,1013],"span",{"class":945,"line":946},"line",1,[943,948,950],{"class":949},"sMK4o","{",[943,952,953],{"class":949}," \"",[943,955,957],{"class":956},"spNyl","data",[943,959,960],{"class":949},"\"",[943,962,963],{"class":949},":",[943,965,966],{"class":949}," [",[943,968,969],{"class":949}," {",[943,971,953],{"class":949},[943,973,975],{"class":974},"sBMFI","open",[943,977,960],{"class":949},[943,979,963],{"class":949},[943,981,953],{"class":949},[943,983,985],{"class":984},"sfazB","31",[943,987,960],{"class":949},[943,989,990],{"class":949},",",[943,992,953],{"class":949},[943,994,995],{"class":974},"oldest",[943,997,960],{"class":949},[943,999,963],{"class":949},[943,1001,953],{"class":949},[943,1003,1004],{"class":984},"2026-09-28T14:10:00Z",[943,1006,960],{"class":949},[943,1008,1009],{"class":949}," }",[943,1011,1012],{"class":949}," ]",[943,1014,1015],{"class":949}," }\n",[784,1017,1019],{"id":1018},"groups","Groups",[780,1021,1022,1025],{},[797,1023,1024],{},"group_by"," splits the rows into groups and computes the aggregates per group:",[789,1027,1030],{"className":1028,"code":1029,"language":794,"meta":795},[792],"GET \u002Fapi\u002Fpublic\u002Ftable\u002Fwork_orders\n    ?group_by=branch.name,status\n    &_count[*]=orders\n    &where[reported_at][_gte]=$PERIOD.this_month.from\n    &order_by=branch.name,-orders\n",[797,1031,1029],{"__ignoreMap":795},[789,1033,1035],{"className":937,"code":1034,"language":939,"meta":795,"style":795},"{ \"data\": [\n  { \"branch.name\": \"Jujuy\", \"status\": \"ASSIGNED\", \"orders\": \"6\" },\n  { \"branch.name\": \"Jujuy\", \"status\": \"NEW\", \"orders\": \"3\" },\n  { \"branch.name\": \"Salta\", \"status\": \"IN_PROGRESS\", \"orders\": \"11\" }\n] }\n",[797,1036,1037,1052,1113,1168,1224],{"__ignoreMap":795},[943,1038,1039,1041,1043,1045,1047,1049],{"class":945,"line":946},[943,1040,950],{"class":949},[943,1042,953],{"class":949},[943,1044,957],{"class":956},[943,1046,960],{"class":949},[943,1048,963],{"class":949},[943,1050,1051],{"class":949}," [\n",[943,1053,1055,1058,1060,1063,1065,1067,1069,1072,1074,1076,1078,1081,1083,1085,1087,1090,1092,1094,1096,1099,1101,1103,1105,1108,1110],{"class":945,"line":1054},2,[943,1056,1057],{"class":949},"  {",[943,1059,953],{"class":949},[943,1061,1062],{"class":974},"branch.name",[943,1064,960],{"class":949},[943,1066,963],{"class":949},[943,1068,953],{"class":949},[943,1070,1071],{"class":984},"Jujuy",[943,1073,960],{"class":949},[943,1075,990],{"class":949},[943,1077,953],{"class":949},[943,1079,1080],{"class":974},"status",[943,1082,960],{"class":949},[943,1084,963],{"class":949},[943,1086,953],{"class":949},[943,1088,1089],{"class":984},"ASSIGNED",[943,1091,960],{"class":949},[943,1093,990],{"class":949},[943,1095,953],{"class":949},[943,1097,1098],{"class":974},"orders",[943,1100,960],{"class":949},[943,1102,963],{"class":949},[943,1104,953],{"class":949},[943,1106,1107],{"class":984},"6",[943,1109,960],{"class":949},[943,1111,1112],{"class":949}," },\n",[943,1114,1116,1118,1120,1122,1124,1126,1128,1130,1132,1134,1136,1138,1140,1142,1144,1147,1149,1151,1153,1155,1157,1159,1161,1164,1166],{"class":945,"line":1115},3,[943,1117,1057],{"class":949},[943,1119,953],{"class":949},[943,1121,1062],{"class":974},[943,1123,960],{"class":949},[943,1125,963],{"class":949},[943,1127,953],{"class":949},[943,1129,1071],{"class":984},[943,1131,960],{"class":949},[943,1133,990],{"class":949},[943,1135,953],{"class":949},[943,1137,1080],{"class":974},[943,1139,960],{"class":949},[943,1141,963],{"class":949},[943,1143,953],{"class":949},[943,1145,1146],{"class":984},"NEW",[943,1148,960],{"class":949},[943,1150,990],{"class":949},[943,1152,953],{"class":949},[943,1154,1098],{"class":974},[943,1156,960],{"class":949},[943,1158,963],{"class":949},[943,1160,953],{"class":949},[943,1162,1163],{"class":984},"3",[943,1165,960],{"class":949},[943,1167,1112],{"class":949},[943,1169,1171,1173,1175,1177,1179,1181,1183,1186,1188,1190,1192,1194,1196,1198,1200,1203,1205,1207,1209,1211,1213,1215,1217,1220,1222],{"class":945,"line":1170},4,[943,1172,1057],{"class":949},[943,1174,953],{"class":949},[943,1176,1062],{"class":974},[943,1178,960],{"class":949},[943,1180,963],{"class":949},[943,1182,953],{"class":949},[943,1184,1185],{"class":984},"Salta",[943,1187,960],{"class":949},[943,1189,990],{"class":949},[943,1191,953],{"class":949},[943,1193,1080],{"class":974},[943,1195,960],{"class":949},[943,1197,963],{"class":949},[943,1199,953],{"class":949},[943,1201,1202],{"class":984},"IN_PROGRESS",[943,1204,960],{"class":949},[943,1206,990],{"class":949},[943,1208,953],{"class":949},[943,1210,1098],{"class":974},[943,1212,960],{"class":949},[943,1214,963],{"class":949},[943,1216,953],{"class":949},[943,1218,1219],{"class":984},"11",[943,1221,960],{"class":949},[943,1223,1015],{"class":949},[943,1225,1227,1230],{"class":945,"line":1226},5,[943,1228,1229],{"class":949},"]",[943,1231,1015],{"class":949},[1233,1234,1235,1243,1253,1259],"ul",{},[1236,1237,1238,1239,1242],"li",{},"A group field's output key is its path (",[797,1240,1241],{},"\"branch.name\"",").",[1236,1244,1245,1246,1248,1249,1252],{},"With ",[797,1247,1024],{}," or an aggregate, each result holds only the group fields and the aggregates. ",[797,1250,1251],{},"fields"," is ignored.",[1236,1254,1255,1258],{},[797,1256,1257],{},"order_by"," can use group fields and aggregate names.",[1236,1260,1261,1264],{},[797,1262,1263],{},"count=true"," counts groups, not rows.",[784,1266,1268],{"id":1267},"filtering-groups-having","Filtering groups: having",[780,1270,1271,1274,1275,1278],{},[797,1272,1273],{},"where"," filters rows before grouping. ",[797,1276,1277],{},"having"," filters groups after, by their aggregates, with the same syntax:",[789,1280,1283],{"className":1281,"code":1282,"language":794,"meta":795},[792],"GET \u002Fapi\u002Fpublic\u002Ftable\u002Fwork_order_parts\n    ?group_by=part.sku,part.name\n    &_sum[quantity]=used\n    &where[work_order.reported_at][_gte]=$PERIOD.this_quarter.from\n    &having[used][_gt]=50\n",[797,1284,1282],{"__ignoreMap":795},[780,1286,1287,1288,1290,1291,1293],{},"That reads \"parts used more than 50 times this quarter\". ",[797,1289,1273],{}," can't refer to aggregate names; ",[797,1292,1277],{}," can refer to both group fields and aggregates.",[784,1295,1297],{"id":1296},"when-to-use-a-view-instead","When to use a view instead",[780,1299,1300,1301,1304,1305,1308],{},"Aggregates over the Data API cover counts and sums of columns. For anything that needs an expression, such as ",[797,1302,1303],{},"quantity * unit_price",", a period bucket like ",[797,1306,1307],{},"date_trunc('month', issued_on)",", or a window function, write a view and read it:",[789,1310,1314],{"className":1311,"code":1312,"language":1313,"meta":795,"style":795},"language-sql shiki shiki-themes material-theme-lighter material-theme material-theme-palenight","CREATE VIEW invoices_by_month AS\nSELECT date_trunc('month', i.issued_on)::date AS month,\n       sum(it.quantity * it.unit_price) AS total\nFROM invoices i JOIN invoice_items it ON it.invoice = i.id\nGROUP BY 1;\n","sql",[797,1315,1316,1321,1326,1331,1336],{"__ignoreMap":795},[943,1317,1318],{"class":945,"line":946},[943,1319,1320],{},"CREATE VIEW invoices_by_month AS\n",[943,1322,1323],{"class":945,"line":1054},[943,1324,1325],{},"SELECT date_trunc('month', i.issued_on)::date AS month,\n",[943,1327,1328],{"class":945,"line":1115},[943,1329,1330],{},"       sum(it.quantity * it.unit_price) AS total\n",[943,1332,1333],{"class":945,"line":1170},[943,1334,1335],{},"FROM invoices i JOIN invoice_items it ON it.invoice = i.id\n",[943,1337,1338],{"class":945,"line":1226},[943,1339,1340],{},"GROUP BY 1;\n",[780,1342,1343,1344,1347],{},"For reports and charts, ",[1345,1346,78],"a",{"href":275}," run SQL directly.",[784,1349,1351],{"id":1350},"the-sql-it-runs","The SQL it runs",[780,1353,1354,1355,1358,1359,1362],{},"This is the SQL TotalBase sent to PostgreSQL for the example above, as PostgreSQL's own log recorded it - ids shortened, long column lists cut with ",[797,1356,1357],{},"…",". Every value travels as a parameter (",[797,1360,1361],{},"$1","), never inside the SQL text. The groups example above:",[789,1364,1366],{"className":1311,"code":1365,"language":1313,"meta":795,"style":795},"SELECT t1.\"name\" AS \"branch.name\", t0.\"status\" AS \"status\", COUNT(*) AS \"orders\"\nFROM \"public\".\"work_orders\" AS t0\nLEFT JOIN \"public\".\"branches\" AS t1 ON t1.\"id\" = t0.\"branch\"\nWHERE t0.\"reported_at\" >= date_trunc('month', CURRENT_TIMESTAMP)   -- $PERIOD.this_month.from\nGROUP BY t1.\"name\", t0.\"status\"\nORDER BY t1.\"name\" ASC, \"orders\" DESC\nLIMIT $1 OFFSET $2;\n",[797,1367,1368,1373,1378,1383,1388,1393,1399],{"__ignoreMap":795},[943,1369,1370],{"class":945,"line":946},[943,1371,1372],{},"SELECT t1.\"name\" AS \"branch.name\", t0.\"status\" AS \"status\", COUNT(*) AS \"orders\"\n",[943,1374,1375],{"class":945,"line":1054},[943,1376,1377],{},"FROM \"public\".\"work_orders\" AS t0\n",[943,1379,1380],{"class":945,"line":1115},[943,1381,1382],{},"LEFT JOIN \"public\".\"branches\" AS t1 ON t1.\"id\" = t0.\"branch\"\n",[943,1384,1385],{"class":945,"line":1170},[943,1386,1387],{},"WHERE t0.\"reported_at\" >= date_trunc('month', CURRENT_TIMESTAMP)   -- $PERIOD.this_month.from\n",[943,1389,1390],{"class":945,"line":1226},[943,1391,1392],{},"GROUP BY t1.\"name\", t0.\"status\"\n",[943,1394,1396],{"class":945,"line":1395},6,[943,1397,1398],{},"ORDER BY t1.\"name\" ASC, \"orders\" DESC\n",[943,1400,1402],{"class":945,"line":1401},7,[943,1403,1404],{},"LIMIT $1 OFFSET $2;\n",[780,1406,1407,1408,1411],{},"A caller with a row filter gets it in the ",[797,1409,1410],{},"WHERE",", before grouping: aggregates only ever count the rows they may read.",[784,1413,1415],{"id":1414},"next-steps","Next steps",[1233,1417,1418,1423],{},[1236,1419,1420,1422],{},[1345,1421,620],{"href":621},".",[1236,1424,1425,1422],{},[1345,1426,96],{"href":97},[1428,1429,1430],"style",{},"html pre.shiki code .sMK4o, html code.shiki .sMK4o{--shiki-light:#39ADB5;--shiki-default:#89DDFF;--shiki-dark:#89DDFF}html pre.shiki code .spNyl, html code.shiki .spNyl{--shiki-light:#9C3EDA;--shiki-default:#C792EA;--shiki-dark:#C792EA}html pre.shiki code .sBMFI, html code.shiki .sBMFI{--shiki-light:#E2931D;--shiki-default:#FFCB6B;--shiki-dark:#FFCB6B}html pre.shiki code .sfazB, html code.shiki .sfazB{--shiki-light:#91B859;--shiki-default:#C3E88D;--shiki-dark:#C3E88D}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"title":795,"searchDepth":946,"depth":1054,"links":1432},[1433,1434,1435,1436,1437,1438],{"id":786,"depth":1054,"text":787},{"id":1018,"depth":1054,"text":1019},{"id":1267,"depth":1054,"text":1268},{"id":1296,"depth":1054,"text":1297},{"id":1350,"depth":1054,"text":1351},{"id":1414,"depth":1054,"text":1415},"Totals, counts, averages and groups: _sum, _count, _avg, _min, _max, group_by and having.","md",{},true,{"title":616,"description":1439},"PFkrXpvIqlVPJW8wz0fOD9y1VcwSWH9m8QkysMZQy60",[1446,1448],{"title":612,"path":613,"stem":614,"description":1447,"children":-1},"The where parameter: operators, relation paths, AND\u002FOR\u002FNOT in a query string, and the variables for users, dates and periods.",{"title":620,"path":621,"stem":622,"description":1449,"children":-1},"Create, update and delete rows - one, many, or by filter - with upserts, optimistic concurrency and idempotency keys.",1792339952622]