( result: QueryResult )
| 265 | }; |
| 266 | |
| 267 | export const flattenNoSQLQueryResult = ( |
| 268 | result: QueryResult |
| 269 | ): QueryResult | undefined => { |
| 270 | if ( |
| 271 | result.columnNames.length !== 1 || |
| 272 | result.columnNames[0] !== "result" || |
| 273 | result.rows.length === 0 |
| 274 | ) { |
| 275 | return undefined; |
| 276 | } |
| 277 | |
| 278 | const { columns, columnIndexMap } = getNoSQLColumns(result.rows); |
| 279 | if (columns.length === 0) { |
| 280 | return undefined; |
| 281 | } |
| 282 | |
| 283 | const rows: QueryRow[] = []; |
| 284 | const columnTypeNames: string[] = Array.from({ length: columns.length }).map( |
| 285 | () => "TEXT" |
| 286 | ); |
| 287 | |
| 288 | for (const row of result.rows) { |
| 289 | if (row.values.length !== 1 || row.values[0].kind.case !== "stringValue") { |
| 290 | return undefined; |
| 291 | } |
| 292 | |
| 293 | // Use lossless-json to preserve precision for large integers (> 2^53-1) |
| 294 | const data = losslessParse( |
| 295 | row.values[0].kind.value, |
| 296 | null, |
| 297 | losslessReviver |
| 298 | ) as Record<string, unknown>; |
| 299 | const values: RowValue[] = Array.from({ length: columns.length }).map(() => |
| 300 | createProto(RowValueSchema, { |
| 301 | kind: { |
| 302 | case: "nullValue", |
| 303 | value: NullValue.NULL_VALUE, |
| 304 | }, |
| 305 | }) |
| 306 | ); |
| 307 | |
| 308 | for (const [key, value] of Object.entries(data)) { |
| 309 | const index = columnIndexMap.get(key) ?? 0; |
| 310 | const { value: formatted, type } = convertAnyToRowValue(value, true); |
| 311 | values[index] = formatted; |
| 312 | columnTypeNames[index] = type; |
| 313 | } |
| 314 | |
| 315 | rows.push( |
| 316 | createProto(QueryRowSchema, { |
| 317 | values, |
| 318 | }) |
| 319 | ); |
| 320 | } |
| 321 | |
| 322 | return createProto(QueryResultSchema, { |
| 323 | columnNames: columns, |
| 324 | columnTypeNames, |
no test coverage detected