e6data-python-connector/e6x_engine.proto at dataframeForML · e6data/e6data-python-connector · GitHub

History

505 lines (385 loc) · 10.4 KB

Raw

100

101

102

103

104

105

106

107

108

109

110

111

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126

127

128

129

130

131

132

133

134

135

136

137

138

139

140

141

142

143

144

145

146

147

148

149

150

151

152

153

154

155

156

157

158

159

160

161

162

163

164

165

166

167

168

169

170

171

172

173

174

175

176

177

178

179

180

181

182

183

184

185

186

187

188

189

190

191

192

193

194

195

196

197

198

199

200

201

202

203

204

205

206

207

208

209

210

211

212

213

214

215

216

217

218

219

220

221

222

223

224

225

226

227

228

229

230

231

232

233

234

235

236

237

238

239

240

241

242

243

244

245

246

247

248

249

250

251

252

253

254

255

256

257

258

259

260

261

262

263

264

265

266

267

268

269

270

271

272

273

274

275

276

277

278

279

280

281

282

283

284

285

286

287

288

289

290

291

292

293

294

295

296

297

298

299

300

301

302

303

304

305

306

307

308

309

310

311

312

313

314

315

316

317

318

319

320

321

322

323

324

325

326

327

328

329

330

331

332

333

334

335

336

337

338

339

340

341

342

343

344

345

346

347

348

349

350

351

352

353

354

355

356

357

358

359

360

361

362

363

364

365

366

367

368

369

370

371

372

373

374

375

376

377

378

379

380

381

382

383

384

385

386

387

388

389

390

391

392

393

394

395

396

397

398

399

400

401

402

403

404

405

406

407

408

409

410

411

412

413

414

415

416

417

418

419

420

421

422

423

424

425

426

427

428

429

430

431

432

433

434

435

436

437

438

439

440

441

442

443

444

445

446

447

448

449

450

451

452

453

454

455

456

457

458

459

460

461

462

463

464

465

466

467

468

469

470

471

472

473

474

475

476

477

478

479

480

481

482

483

484

485

486

487

488

489

490

491

492

493

494

495

496

497

498

499

500

501

502

503

504

505

syntax = "proto3";

option java_multiple_files = true;

message GFieldInfo {

string fieldName = 1;

string fieldType = 2;

}

message FailedSchemaElement

{

string name = 1;

string type = 2;

string reason = 3;

}

message GetAddCatalogsResponse

{

string status = 1;

repeated FailedSchemaElement failures = 2;

}

message CatalogResponse

{

string name = 1;

bool isDefault = 2;

}

message ParameterValue

{

sint32 index = 1;

string type = 2;

string value = 3;

}

message ClearRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message ClearResponse{

}

message CancelQueryRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message CancelQueryResponse{

}

message ExplainRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message ExplainResponse{

string explain = 1;

}

message DryRunRequest{

string engineIP = 1;

string sessionId = 2;

string schema = 3;

string queryString = 4;

}

message DryRunResponse{

string dryrunValue = 1;

}

message DryRunRequestV2{

string engineIP = 1;

string sessionId = 2;

string schema = 3;

string queryString = 4;

string catalog = 5;

}

message ExplainAnalyzeRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message ExplainAnalyzeResponse{

string explainAnalyze = 1;

bool isCached = 2;

sint64 parsingTime = 3;

sint64 queueingTime = 4;

}

message PrepareStatementRequest{

string sessionId = 1;

string schema = 2;

string queryString = 3;

string quoting = 4;

}

message PrepareStatementV2Request{

string sessionId = 1;

string schema = 2;

string catalog = 3;

string queryString = 4;

string quoting = 5;

}

message PrepareStatementResponse{

string engineIP = 1;

string queryId = 2;

}

message UserAccessInfo

{

string uuid = 1;

string userName = 2;

repeated string tokens = 3; // lIST

}

message ExecuteStatementRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

bool shouldNotCache = 4;

}

message ExecuteStatementV2Request{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

bool shouldNotCache = 4;

repeated ParameterValue params = 5;

}

message ExecuteStatementResponse{

}

message GetNextResultRowRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message GetNextResultRowResponse{

bytes resultRow = 2;

}

message GetNextResultBatchRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

optional bool asRowData = 4; //This is false by default

}

message GetNextResultBatchResponse{

bytes resultBatch = 2;

}

message GetResultMetadataRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message GetResultMetadataResponse{

bytes resultMetaData = 1;

}

message AuthenticateRequest{

string user = 1;

string password = 2;

}

message AuthenticateResponse{

string sessionId = 1;

}

message GetTablesRequest{

string sessionId = 1;

string schema = 2;

}

message GetTablesV2Request{

string sessionId = 1;

string schema = 2;

string catalog = 3;

}

message GetTablesResponse{

repeated string tables = 1;

}

message GetSchemaNamesRequest{

string sessionId = 1;

}

message GetSchemaNamesV2Request{

string sessionId = 1;

string catalog = 2;

}

message GetSchemaNamesResponse{

repeated string schemas = 1;

}

message GetColumnsRequest{

string sessionId = 1;

string schema = 2;

string table = 3;

}

message GetColumnsV2Request{

string sessionId = 1;

string schema = 2;

string table = 3;

string catalog = 4;

}

message GetColumnsResponse{

repeated GFieldInfo fieldInfo = 1;

}

message StatusRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message StatusResponse

{

bool status = 2;

sint64 rowCount = 3;

}

message AddCatalogsRequest{

string sessionId = 1;

string json = 2;

}

message UpdateUsersRequest{

bytes users = 1;

}

message UpdateUsersResponse{

}

message SetPropsRequest{

string sessionId = 1;

string props = 2;

}

message SetPropsResponse{

}

message GetAddCatalogsRequest{

string sessionId = 1;

}

message AddCatalogsResponse{

}

message GetCatalogesRequest{

}

message GetCatalogesResponse{

repeated CatalogResponse catalogResponses = 1;

}

message RefreshCatalogsRequest{

string sessionId = 1;

}

message RefreshCatalogsResponse{

}

message RemoteChunkRequest{

string originalQueryId = 1;

string remoteQueryId = 2;

string sQueryHash = 3;

}

message RemoteChunkResponse{

string error = 1;

bytes chunk = 2;

}

message ClearOrCancelQueryRequest{

string engineIP = 1;

string sessionId = 2;

string queryId = 3;

}

message ClearOrCancelQueryResponse{

}

// DataFrame

message CreateDataFrameRequest

{

string parquetFilePath = 1;

string catalog = 2;

string schema = 3;

string sessionId = 4;

string engineIP = 5;

}

message CreateDataFrameResponse

{

string queryId = 1;

}

message ProjectionOnDataFrameRequest

{

string queryId = 1;

string sessionId = 2;

repeated string field = 3;

}

message ProjectionOnDataFrameResponse {}

message FilterOnDataFrameRequest

{

string queryId = 1;

string sessionId = 2;

string whereClause = 3;

}

message FilterOnDataFrameResponse {}

enum SortDirection

{

ASC = 0;

DESC = 1;

}

enum NullDirection

{

FIRST = 0;

LAST = 1;

}

message OrderByOnDataFrameRequest

{

string queryId = 1;

string sessionId = 2;

repeated string field = 3;

repeated SortDirection sortDirection = 4;

repeated NullDirection nullsDirection = 5;

}

message OrderByOnDataFrameResponse {}

message LimitOnDataFrameRequest

{

string queryId = 1;

string sessionId = 2;

int32 fetchLimit = 3;

}

message LimitOnDataFrameResponse {}

message ExecuteDataFrameRequest

{

string queryId = 1;

string sessionId = 2;

}

message ExecuteDataFrameResponse {}

// Define a row of doubles

message DoubleRow {

repeated double values = 1; // Represents a row in the 2D array

}

// Define a 2D array of doubles

message DoubleMatrix {

repeated DoubleRow rows = 1; // Represents all rows in the 2D array

}

// Represents an individual task in the DAG

message Task {

string type = 1; // Task type: "train", "predict"

string sql_query = 2; // SQL query for the task

string model_id = 3; // Optional: Model ID for prediction tasks

}

// Represents the full DAG as a list of tasks

message DAG {

repeated Task tasks = 1; // List of tasks in the DAG

}

// Request to execute the DAG

message ExecuteMLPipelineRequest {

string session_id = 1; // Unique session ID

string catalog = 2;

string schema = 3;

DAG dag = 4; // The DAG to execute

}

// Response after DAG execution

message ExecuteMLPipelineResponse {

string status = 1; // Status of execution

DoubleMatrix result = 2; // Serialized result (e.g., predictions or output)

}

// Matrix request message

message MatrixRequest {

string operation = 1; // Operation type: "add", "multiply", etc.

repeated double matrix1 = 2; // Flattened row-major matrix1

int32 rows1 = 3; // Number of rows in matrix1

int32 cols1 = 4; // Number of columns in matrix1

repeated double matrix2 = 5; // Flattened row-major matrix2

optional int32 rows2 = 6; // Number of rows in matrix2

optional int32 cols2 = 7; // Number of columns in matrix2

}

// Matrix response message

message MatrixResponse {

repeated double result = 1; // Flattened row-major result matrix

int32 rows = 2; // Number of rows in result matrix

int32 cols = 3; // Number of columns in result matrix

string status = 4; // Status message (e.g., "success")

}

service QueryEngineService {

rpc clear(ClearRequest) returns (ClearResponse);

rpc cancelQuery(CancelQueryRequest) returns (CancelQueryResponse);

rpc clearOrCancelQuery(ClearOrCancelQueryRequest) returns (ClearOrCancelQueryResponse);

rpc explain(ExplainRequest) returns (ExplainResponse);

rpc dryRun(DryRunRequest) returns (DryRunResponse); // Executor, Engine

rpc dryRunV2(DryRunRequestV2) returns (DryRunResponse);

rpc explainAnalyze(ExplainAnalyzeRequest) returns (ExplainAnalyzeResponse);

rpc prepareStatement(PrepareStatementRequest) returns (PrepareStatementResponse);

rpc prepareStatementV2(PrepareStatementV2Request) returns (PrepareStatementResponse);

rpc executeStatement(ExecuteStatementRequest) returns (ExecuteStatementResponse);

rpc executeStatementV2(ExecuteStatementV2Request) returns (ExecuteStatementResponse);

rpc getNextResultRow(GetNextResultRowRequest) returns (GetNextResultRowResponse);

rpc getNextResultBatch(GetNextResultBatchRequest) returns (GetNextResultBatchResponse);

rpc getResultMetadata(GetResultMetadataRequest) returns (GetResultMetadataResponse);

rpc authenticate(AuthenticateRequest) returns (AuthenticateResponse);

rpc getTables(GetTablesRequest) returns (GetTablesResponse);

rpc getTablesV2(GetTablesV2Request) returns (GetTablesResponse);

rpc getSchemaNames(GetSchemaNamesRequest) returns (GetSchemaNamesResponse);

rpc getSchemaNamesV2(GetSchemaNamesV2Request) returns (GetSchemaNamesResponse);

rpc getColumns(GetColumnsRequest) returns (GetColumnsResponse);

rpc getColumnsV2(GetColumnsV2Request) returns (GetColumnsResponse);

rpc updateUsers(UpdateUsersRequest) returns (UpdateUsersResponse);

rpc setProps(SetPropsRequest) returns (SetPropsResponse);

rpc status(StatusRequest) returns (StatusResponse);

rpc addCatalogs(AddCatalogsRequest) returns (AddCatalogsResponse);

rpc getAddCatalogsResponse(GetAddCatalogsRequest) returns (GetAddCatalogsResponse);

rpc getCataloges(GetCatalogesRequest) returns (GetCatalogesResponse);

rpc getNextRemoteCachedChunk(RemoteChunkRequest) returns (RemoteChunkResponse);

rpc refreshCatalogs(RefreshCatalogsRequest) returns (RefreshCatalogsResponse);

// dataframe

rpc createDataFrame(CreateDataFrameRequest) returns (CreateDataFrameResponse);

rpc projectionOnDataFrame(ProjectionOnDataFrameRequest) returns (ProjectionOnDataFrameResponse);

rpc filterOnDataFrame(FilterOnDataFrameRequest) returns (FilterOnDataFrameResponse);

rpc orderByOnDataFrame(OrderByOnDataFrameRequest) returns (OrderByOnDataFrameResponse);

rpc limitOnDataFrame(LimitOnDataFrameRequest) returns (LimitOnDataFrameResponse);

rpc executeDataFrame(ExecuteDataFrameRequest) returns (ExecuteDataFrameResponse);

rpc executeMLPipeline(ExecuteMLPipelineRequest) returns (ExecuteMLPipelineResponse);

rpc ComputeMatrix (MatrixRequest) returns (MatrixResponse);

}

e6data-python-connector/e6x_engine.proto at dataframeForML · e6data/e6data-python-connector · GitHub

Expand file tree

Breadcrumbs

e6x_engine.proto

Latest commit

History

Breadcrumbs

e6x_engine.proto

File metadata and controls