Enable readColumn to read all rows

src/column.js

@@ -10,7 +10,7 @@ import { concat } from './utils.js'
  * Parse column data from a buffer.
  *
  * @param {DataReader} reader
- * @param {number} rowLimit maximum number of rows to read
+ * @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
@@ -22,8 +22,10 @@ export function readColumn(reader, rowLimit, columnMetadata, schemaPath, { compr
   let dictionary = undefined
   /** @type {any[]} */
   const rowData = []
+  const hasRowLimit = rowLimit !== undefined && rowLimit >= 0 && isFinite(rowLimit)
 
-  while (rowData.length < rowLimit) {
+  while (!hasRowLimit || rowData.length < rowLimit) {
+    if (reader.offset >= reader.view.byteLength - 1) break // end of reader
     // parse column header
     const header = parquetHeader(reader)
     // assert(header.compressed_page_size !== undefined)
@@ -93,11 +95,13 @@ export function readColumn(reader, rowLimit, columnMetadata, schemaPath, { compr
     }
     reader.offset += header.compressed_page_size
   }
-  if (rowData.length < rowLimit) {
-    throw new Error(`parquet row data length ${rowData.length} does not match row group limit ${rowLimit}}`)
-  }
-  if (rowData.length > rowLimit) {
-    rowData.length = rowLimit // truncate to row limit
+  if (hasRowLimit) {
+    if (rowData.length < rowLimit) {
+      throw new Error(`parquet row data length ${rowData.length} does not match row group limit ${rowLimit}}`)
+    }
+    if (rowData.length > rowLimit) {
+      rowData.length = rowLimit // truncate to row limit
+    }
   }
   return rowData
 }

test/column.test.js

@@ -0,0 +1,83 @@
+import { compressors } from 'hyparquet-compressors'
+import { describe, expect, it } from 'vitest'
+import { parquetMetadata } from '../src/hyparquet.js'
+import { getSchemaPath } from '../src/schema.js'
+import { getColumnRange, readColumn } from '../src/column.js'
+import { asyncBufferFromFile } from '../src/utils.js'
+
+describe('readColumn', () => {
+  it('read columns when rowLimit is undefined', async () => {
+    const testFile = 'test/files/float16_nonzeros_and_nans.parquet'
+    const asyncBuffer = await asyncBufferFromFile(testFile)
+    const arrayBuffer = await asyncBuffer.slice(0)
+    const metadata = parquetMetadata(arrayBuffer)
+
+    const column = metadata.row_groups[0].columns[0]
+    if (!column.meta_data) throw new Error(`No column metadata for ${testFile}`)
+    const [columnStartByte, columnEndByte] = getColumnRange(column.meta_data).map(Number)
+    const columnArrayBuffer = arrayBuffer.slice(columnStartByte, columnEndByte)
+    const schemaPath = getSchemaPath(metadata.schema, column.meta_data?.path_in_schema ?? [])
+    const reader = { view: new DataView(columnArrayBuffer), offset: 0 }
+
+    const rowLimit = undefined
+    const result = readColumn(reader, rowLimit, column.meta_data, schemaPath, { file: asyncBuffer, compressors })
+    const expected = [null, 1, -2, NaN, 0, -1, -0, 2]
+    expect(result).toEqual(expected)
+  })
+
+  it('read columns when rowLimit is Infinity', async () => {
+    const testFile = 'test/files/float16_nonzeros_and_nans.parquet'
+    const asyncBuffer = await asyncBufferFromFile(testFile)
+    const arrayBuffer = await asyncBuffer.slice(0)
+    const metadata = parquetMetadata(arrayBuffer)
+
+    const column = metadata.row_groups[0].columns[0]
+    if (!column.meta_data) throw new Error(`No column metadata for ${testFile}`)
+    const [columnStartByte, columnEndByte] = getColumnRange(column.meta_data).map(Number)
+    const columnArrayBuffer = arrayBuffer.slice(columnStartByte, columnEndByte)
+    const schemaPath = getSchemaPath(metadata.schema, column.meta_data?.path_in_schema ?? [])
+    const reader = { view: new DataView(columnArrayBuffer), offset: 0 }
+
+    const rowLimit = Infinity
+    const result = readColumn(reader, rowLimit, column.meta_data, schemaPath, { file: asyncBuffer, compressors })
+    const expected = [null, 1, -2, NaN, 0, -1, -0, 2]
+    expect(result).toEqual(expected)
+  })
+
+  it('read columns when rowLimit is defined', async () => {
+    const testFile = 'test/files/float16_nonzeros_and_nans.parquet'
+    const asyncBuffer = await asyncBufferFromFile(testFile)
+    const arrayBuffer = await asyncBuffer.slice(0)
+    const metadata = parquetMetadata(arrayBuffer)
+
+    const column = metadata.row_groups[0].columns[0]
+    if (!column.meta_data) throw new Error(`No column metadata for ${testFile}`)
+    const [columnStartByte, columnEndByte] = getColumnRange(column.meta_data).map(Number)
+    const columnArrayBuffer = arrayBuffer.slice(columnStartByte, columnEndByte)
+    const schemaPath = getSchemaPath(metadata.schema, column.meta_data?.path_in_schema ?? [])
+    const reader = { view: new DataView(columnArrayBuffer), offset: 0 }
+
+    const rowLimit = 2
+    const result = readColumn(reader, rowLimit, column.meta_data, schemaPath, { file: asyncBuffer, compressors })
+    expect(result.length).toBe(rowLimit)
+  })
+
+  it('read columns when rowLimit is 0', async () => {
+    const testFile = 'test/files/float16_nonzeros_and_nans.parquet'
+    const asyncBuffer = await asyncBufferFromFile(testFile)
+    const arrayBuffer = await asyncBuffer.slice(0)
+    const metadata = parquetMetadata(arrayBuffer)
+
+    const column = metadata.row_groups[0].columns[0]
+    if (!column.meta_data) throw new Error(`No column metadata for ${testFile}`)
+    const [columnStartByte, columnEndByte] = getColumnRange(column.meta_data).map(Number)
+    const columnArrayBuffer = arrayBuffer.slice(columnStartByte, columnEndByte)
+    const schemaPath = getSchemaPath(metadata.schema, column.meta_data?.path_in_schema ?? [])
+    const reader = { view: new DataView(columnArrayBuffer), offset: 0 }
+
+    const rowLimit = 0
+    const result = readColumn(reader, rowLimit, column.meta_data, schemaPath, { file: asyncBuffer, compressors })
+    expect(result.length).toBe(rowLimit)
+  })
+
+})