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Steps:
import pyarrow as pa nums1 = [42] nums2 = [42.42] mil = 1000000 for n in range(1, 140 * mil): nums1.append(n) nums2.append(1 / n) arr1 = pa.array(nums1) arr2 = pa.array(nums2) schema = pa.schema([ pa.field('nums1', arr1.type), pa.field('nums2', arr2.type), ]) with pa.OSFile('arraydata.arrow', 'wb') as sink: with pa.ipc.new_file(sink, schema=schema) as writer: batch = pa.record_batch([arr1, arr2], schema=schema) writer.write(batch)
const fs = require("fs"); const { tableFromIPC, RecordBatchReader } = require("apache-arrow"); const filePath = "./arraydata.arrow"; const stream = fs.createReadStream(filePath); const reader = RecordBatchReader.from(stream); (async function () { const table = await tableFromIPC(reader); console.log("numRows", table.numRows); console.log("first row", table.get(0).toArray()); })();
The code above prints:
numRows 140000000 first row [ undefined, undefined ]
numRows is correct, but the values are coming out as {}undefined{}.
numRows
{}undefined{
Reporter: Denis Gursky
Note: This issue was originally created as ARROW-18007. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered:
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Steps:
The code above prints:
numRows
is correct, but the values are coming out as{}undefined{
}.Reporter: Denis Gursky
Note: This issue was originally created as ARROW-18007. Please see the migration documentation for further details.
The text was updated successfully, but these errors were encountered: