import { assembleLists } from './assemble.js' import { Encoding, PageType } from './constants.js' import { convertWithDictionary } from './convert.js' import { decompressPage, readDataPage, readDataPageV2, readDictionaryPage } from './datapage.js' import { getMaxDefinitionLevel } from './schema.js' import { deserializeTCompactProtocol } from './thrift.js' /** * Parse column data from a buffer. * * @param {DataReader} reader * @param {number | undefined} rowLimit maximum number of rows to read (undefined reads all rows) * @param {ColumnMetaData} columnMetadata column metadata * @param {SchemaTree[]} schemaPath schema path for the column * @param {ParquetReadOptions} options read options * @returns {DecodedArray[]} */ export function readColumn(reader, rowLimit, columnMetadata, schemaPath, { compressors, utf8 }) { const { element } = schemaPath[schemaPath.length - 1] /** @type {DecodedArray[]} */ const chunks = [] /** @type {DecodedArray | undefined} */ let dictionary = undefined const hasRowLimit = rowLimit !== undefined && rowLimit >= 0 && isFinite(rowLimit) let rowCount = 0 while (!hasRowLimit || rowCount < rowLimit) { if (reader.offset >= reader.view.byteLength - 1) break // end of reader const header = parquetHeader(reader) // column header // read compressed_page_size bytes starting at offset const compressedBytes = new Uint8Array( reader.view.buffer, reader.view.byteOffset + reader.offset, header.compressed_page_size ) // parse page data by type if (header.type === 'DATA_PAGE') { const daph = header.data_page_header if (!daph) throw new Error('parquet data page header is undefined') const page = decompressPage(compressedBytes, Number(header.uncompressed_page_size), columnMetadata.codec, compressors) const { definitionLevels, repetitionLevels, dataPage } = readDataPage(page, daph, schemaPath, columnMetadata) // assert(!daph.statistics?.null_count || daph.statistics.null_count === BigInt(daph.num_values - dataPage.length)) // convert types, dereference dictionary, and assemble lists let values = convertWithDictionary(dataPage, dictionary, element, daph.encoding, utf8) if (repetitionLevels.length || definitionLevels?.length) { const maxDefinitionLevel = getMaxDefinitionLevel(schemaPath) const repetitionPath = schemaPath.map(({ element }) => element.repetition_type) const chunk = assembleLists( [], definitionLevels, repetitionLevels, values, repetitionPath, maxDefinitionLevel ) chunks.push(chunk) rowCount += chunk.length } else { // wrap nested flat data by depth for (let i = 2; i < schemaPath.length; i++) { if (schemaPath[i].element.repetition_type !== 'REQUIRED') { values = Array.from(values, e => [e]) } } chunks.push(values) rowCount += values.length } } else if (header.type === 'DATA_PAGE_V2') { const daph2 = header.data_page_header_v2 if (!daph2) throw new Error('parquet data page header v2 is undefined') const { definitionLevels, repetitionLevels, dataPage } = readDataPageV2( compressedBytes, header, schemaPath, columnMetadata, compressors ) // convert types, dereference dictionary, and assemble lists const values = convertWithDictionary(dataPage, dictionary, element, daph2.encoding, utf8) if (repetitionLevels.length || definitionLevels?.length) { const maxDefinitionLevel = getMaxDefinitionLevel(schemaPath) const repetitionPath = schemaPath.map(({ element }) => element.repetition_type) const chunk = assembleLists( [], definitionLevels, repetitionLevels, values, repetitionPath, maxDefinitionLevel ) chunks.push(chunk) rowCount += chunk.length } else { chunks.push(values) rowCount += values.length } } else if (header.type === 'DICTIONARY_PAGE') { const diph = header.dictionary_page_header if (!diph) throw new Error('parquet dictionary page header is undefined') const page = decompressPage( compressedBytes, Number(header.uncompressed_page_size), columnMetadata.codec, compressors ) dictionary = readDictionaryPage(page, diph, columnMetadata, element.type_length) } else { throw new Error(`parquet unsupported page type: ${header.type}`) } reader.offset += header.compressed_page_size } if (hasRowLimit) { if (rowCount < rowLimit) { throw new Error(`parquet row data length ${rowCount} does not match row group limit ${rowLimit}}`) } if (rowCount > rowLimit) { // truncate last chunk to row limit const lastChunk = chunks[chunks.length - 1] chunks[chunks.length - 1] = lastChunk.slice(0, rowLimit - (rowCount - lastChunk.length)) } } return chunks } /** * Find the start byte offset for a column chunk. * * @param {ColumnMetaData} columnMetadata * @returns {[bigint, bigint]} byte offset range */ export function getColumnRange({ dictionary_page_offset, data_page_offset, total_compressed_size }) { let columnOffset = dictionary_page_offset if (!columnOffset || data_page_offset < columnOffset) { columnOffset = data_page_offset } return [columnOffset, columnOffset + total_compressed_size] } /** * Read parquet header from a buffer. * * @import {ColumnMetaData, DecodedArray, DataReader, PageHeader, ParquetReadOptions, SchemaTree} from '../src/types.d.ts' * @param {DataReader} reader * @returns {PageHeader} */ function parquetHeader(reader) { const header = deserializeTCompactProtocol(reader) // Parse parquet header from thrift data const type = PageType[header.field_1] const uncompressed_page_size = header.field_2 const compressed_page_size = header.field_3 const crc = header.field_4 const data_page_header = header.field_5 && { num_values: header.field_5.field_1, encoding: Encoding[header.field_5.field_2], definition_level_encoding: Encoding[header.field_5.field_3], repetition_level_encoding: Encoding[header.field_5.field_4], statistics: header.field_5.field_5 && { max: header.field_5.field_5.field_1, min: header.field_5.field_5.field_2, null_count: header.field_5.field_5.field_3, distinct_count: header.field_5.field_5.field_4, max_value: header.field_5.field_5.field_5, min_value: header.field_5.field_5.field_6, }, } const index_page_header = header.field_6 const dictionary_page_header = header.field_7 && { num_values: header.field_7.field_1, encoding: Encoding[header.field_7.field_2], is_sorted: header.field_7.field_3, } const data_page_header_v2 = header.field_8 && { num_values: header.field_8.field_1, num_nulls: header.field_8.field_2, num_rows: header.field_8.field_3, encoding: Encoding[header.field_8.field_4], definition_levels_byte_length: header.field_8.field_5, repetition_levels_byte_length: header.field_8.field_6, is_compressed: header.field_8.field_7 === undefined ? true : header.field_8.field_7, // default true statistics: header.field_8.field_8, } return { type, uncompressed_page_size, compressed_page_size, crc, data_page_header, index_page_header, dictionary_page_header, data_page_header_v2, } }