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| 1 | +import {DBSQLClient, DBSQLLogger, LogLevel, thrift} from "@databricks/sql"; |
| 2 | +import type {DBSQLSession} from "@databricks/sql"; |
| 3 | +import type {DatabricksConfig, QueryTemplateFunction} from "./index.js"; |
| 4 | +import {ColumnSchema} from "../runtime/index.js"; |
| 5 | + |
| 6 | +type IOperation = Awaited<ReturnType<DBSQLSession["executeStatement"]>>; |
| 7 | +type TTableSchema = NonNullable<Awaited<ReturnType<IOperation["getSchema"]>>>; |
| 8 | +type TColumnDesc = TTableSchema["columns"][0]; |
| 9 | +type TTypeDesc = TColumnDesc["typeDesc"]; |
| 10 | +const TTypeId = thrift.TCLIService_types.TTypeId; |
| 11 | + |
| 12 | +// eslint-disable-next-line @typescript-eslint/no-unused-vars |
| 13 | +export default function databricks({type, ...options}: DatabricksConfig): QueryTemplateFunction { |
| 14 | + return async (strings, ...params) => { |
| 15 | + const logger = new DBSQLLogger({level: LogLevel.error}); |
| 16 | + const client = new DBSQLClient({logger}); |
| 17 | + await client.connect(options); |
| 18 | + try { |
| 19 | + const session = await client.openSession(); |
| 20 | + try { |
| 21 | + const date = new Date(); |
| 22 | + const operation = await session.executeStatement(strings.join("?"), { |
| 23 | + runAsync: true, |
| 24 | + ordinalParameters: params, |
| 25 | + maxRows: 10000 |
| 26 | + }); |
| 27 | + try { |
| 28 | + const rows = (await operation.fetchAll()) as Record<string, unknown>[]; |
| 29 | + const schema = await operation.getSchema(); |
| 30 | + return {rows, schema: getTableSchema(schema!), duration: Date.now() - +date, date}; |
| 31 | + } finally { |
| 32 | + await operation.close(); |
| 33 | + } |
| 34 | + } finally { |
| 35 | + await session.close(); |
| 36 | + } |
| 37 | + } finally { |
| 38 | + await client.close(); |
| 39 | + } |
| 40 | + }; |
| 41 | +} |
| 42 | + |
| 43 | +function getTableSchema({columns}: TTableSchema): ColumnSchema[] { |
| 44 | + return columns.map(getColumnSchema); |
| 45 | +} |
| 46 | + |
| 47 | +function getColumnSchema(column: TColumnDesc): ColumnSchema { |
| 48 | + return {name: column.columnName, type: getColumnType(column.typeDesc)}; |
| 49 | +} |
| 50 | + |
| 51 | +function getColumnType({types: [type]}: TTypeDesc): ColumnSchema["type"] { |
| 52 | + switch (type.primitiveEntry?.type) { |
| 53 | + case TTypeId.BINARY_TYPE: |
| 54 | + return "buffer"; |
| 55 | + case TTypeId.BOOLEAN_TYPE: |
| 56 | + return "boolean"; |
| 57 | + case TTypeId.BIGINT_TYPE: |
| 58 | + case TTypeId.TINYINT_TYPE: |
| 59 | + case TTypeId.SMALLINT_TYPE: |
| 60 | + case TTypeId.INT_TYPE: |
| 61 | + case TTypeId.DECIMAL_TYPE: |
| 62 | + return "integer"; |
| 63 | + case TTypeId.DOUBLE_TYPE: |
| 64 | + case TTypeId.FLOAT_TYPE: |
| 65 | + return "number"; |
| 66 | + case TTypeId.DATE_TYPE: |
| 67 | + case TTypeId.TIMESTAMP_TYPE: |
| 68 | + case TTypeId.INTERVAL_DAY_TIME_TYPE: |
| 69 | + case TTypeId.INTERVAL_YEAR_MONTH_TYPE: |
| 70 | + return "date"; |
| 71 | + default: |
| 72 | + return "string"; |
| 73 | + } |
| 74 | +} |
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