get wrong result when use `columns` in option about parquet-wasm HOT 7 OPEN

> function meminfo() {
...     global.gc()
...     const memoryUsage = process.memoryUsage();
...     console.log('RSS:', memoryUsage.rss / (1024 * 1024), 'MB');
...     console.log('Heap Total:', memoryUsage.heapTotal / (1024 * 1024), 'MB');
...     console.log('Heap Used:', memoryUsage.heapUsed / (1024 * 1024), 'MB');
... }
undefined
>     
undefined
> const {ParquetFile, readParquet, readParquetStream, wasmMemory}       = require("parquet-wasm")
undefined
> const {parseTable, parseRecordBatch}                                                  = require("arrow-js-ffi")
undefined
> var           WASM_MEMORY                                                                                             = wasmMemory();
undefined
> 
> meminfo()
RSS: 70.890625 MB
Heap Total: 17.921875 MB
Heap Used: 7.547981262207031 MB
undefined
> 
> console.time('pq')
undefined
> var table             = await ParquetFile.fromUrl('http://localhost:8000/lineitem.parquet')
undefined
> var numRows           = table.metadata().fileMetadata().numRows()
undefined
> var option            = {
...     columns     : ['l_quantity', 'l_extendedprice', 'l_discount', 'l_tax', 'l_returnflag', 'l_linestatus', 'l_shipdate'],
...     batchSize   : 122_880,
... }
undefined
> meminfo()
RSS: 95.42578125 MB
Heap Total: 14.0703125 MB
Heap Used: 10.886177062988281 MB
undefined
> 
> var ffiTable  = (await table.read(option)).intoFFI();
undefined
> meminfo()
RSS: 641.65234375 MB
Heap Total: 14.0703125 MB
Heap Used: 10.615234375 MB
undefined
> 
> var arrowTable        = parseTable(
...     WASM_MEMORY.buffer,
...     ffiTable.arrayAddrs(),
...     ffiTable.schemaAddr()
... )
undefined
> console.timeEnd('pq')
pq: 2.231s
undefined
> meminfo()
RSS: 1097.15234375 MB
Heap Total: 17.3203125 MB
Heap Used: 11.910774230957031 MB
undefined
> 
> console.log(numRows, table.metadata().fileMetadata().createdBy());
6001215 DuckDB
undefined
> arrowTable.batches[0].data.children[4]
Data {
  type: Decimal { typeId: 7, scale: 2, precision: 15, bitWidth: 128 },
  children: [],
  dictionary: undefined,
  offset: 0,
  length: 122880,
  _nullCount: 0,
  stride: 4,
  values: Uint32Array(491520) [
     0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,
    12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
    24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
    36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
    48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
    60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
    72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
    84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95,
    96, 97, 98, 99,
    ... 491420 more items
  ],
  nullBitmap: Uint8Array(0) []
}

> console.time('pq')
undefined
> var table             = await ParquetFile.fromUrl('http://localhost:8000/lineitem.parquet')
undefined
> var numRows           = table.metadata().fileMetadata().numRows()
undefined
> var option            = {
...     // columns     : ['l_quantity', 'l_extendedprice', 'l_discount', 'l_tax', 'l_returnflag', 'l_linestatus', 'l_shipdate'],
...     batchSize   : 122_880,
... }
undefined
> meminfo()
RSS: 1099.27734375 MB
Heap Total: 14.3203125 MB
Heap Used: 11.8231201171875 MB
undefined
> 
> var ffiTable  = (await table.read(option)).intoFFI();
undefined
> meminfo()
RSS: 2150.1640625 MB
Heap Total: 15.0703125 MB
Heap Used: 11.835853576660156 MB
undefined
> 
> var arrowTable        = parseTable(
...     WASM_MEMORY.buffer,
...     ffiTable.arrayAddrs(),
...     ffiTable.schemaAddr()
... )
undefined
> console.timeEnd('pq')
pq: 5.992s
undefined
> meminfo()
RSS: 3131.0390625 MB
Heap Total: 17.8203125 MB
Heap Used: 11.851348876953125 MB
undefined
> 
> console.log(numRows, table.metadata().fileMetadata().createdBy());
6001215 DuckDB
undefined
> arrowTable.batches[0].data.children[9]
Data {
  type: Utf8 { typeId: 5 },
  children: [],
  dictionary: undefined,
  offset: 0,
  length: 122880,
  _nullCount: 0,
  stride: 1,
  valueOffsets: Int32Array(122881) [
     0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,
    12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23,
    24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35,
    36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
    48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59,
    60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71,
    72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83,
    84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95,
    96, 97, 98, 99,
    ... 122781 more items
  ],
  values: Uint8Array(122880) [
    79, 79, 79, 79, 79, 79, 79, 70, 70, 70, 70, 70,
    70, 79, 70, 70, 70, 70, 79, 79, 79, 79, 79, 79,
    79, 79, 79, 79, 79, 79, 79, 70, 70, 70, 70, 79,
    79, 79, 79, 79, 79, 79, 79, 79, 79, 70, 70, 70,
    79, 79, 79, 79, 79, 79, 79, 70, 70, 79, 79, 70,
    70, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79, 79,
    79, 79, 70, 70, 70, 70, 70, 70, 70, 70, 70, 70,
    70, 70, 79, 79, 79, 79, 79, 79, 70, 70, 70, 70,
    70, 70, 70, 70,
    ... 122780 more items
  ],
  nullBitmap: Uint8Array(0) []
}

  Field {
    name: 'l_quantity',
    type: Decimal { typeId: 7, scale: 2, precision: 15, bitWidth: 128 },
    nullable: true,
    metadata: Map(0) {}
  }

  Field {
    name: 'l_linestatus',
    type: Utf8 { typeId: 5 },
    nullable: true,
    metadata: Map(0) {}
  }