failures:
---- sql::explain_analyze::csv_explain stdout ----
thread 'sql::explain_analyze::csv_explain' panicked at 'assertion failed: `(left == right)`
left: `[["logical_plan", "Projection: #aggregate_test_100.c1\n Filter: #aggregate_test_100.c2 > Int64(10)\n TableScan: aggregate_test_100 projection=[c1, c2], partial_filters=[#aggregate_test_100.c2 > Int64(10)]"], ["physical_plan", "ProjectionExec: expr=[c1@0 as c1]\n CoalesceBatchesExec: target_batch_size=4096\n FilterExec: CAST(c2@1 AS Int64) > 10\n RepartitionExec: partitioning=RoundRobinBatch(NUM_CORES)\n CsvExec: files=[ARROW_TEST_DATA/csv/aggregate_test_100.csv], has_header=true, limit=None, projection=[c1, c2]\n"]]`,
right: `[["logical_plan", "Projection: #aggregate_test_100.c1\n Filter: #aggregate_test_100.c2 > Int64(10)\n TableScan: aggregate_test_100 projection=[c1, c2], partial_filters=[#aggregate_test_100.c2 > Int64(10)]"], ["physical_plan", "ProjectionExec: expr=[c1@0 as c1]\n CoalesceBatchesExec: target_batch_s
Wakahisa nevi-me
nevi-me
/ datafusion-10-rc1-failure.md
Created
July 15, 2022 06:39
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| PS D:\work\oss\arrow> archery integration --with-rust=1 --with-java=1 | |
| Traceback (most recent call last): | |
| File "C:\Users\nevi\anaconda3\Scripts\archery-script.py", line 11, in <module> | |
| load_entry_point('archery', 'console_scripts', 'archery')() | |
| File "C:\Users\nevi\anaconda3\lib\site-packages\click\core.py", line 829, in __call__ | |
| return self.main(*args, **kwargs) | |
| File "C:\Users\nevi\anaconda3\lib\site-packages\click\core.py", line 782, in main | |
| rv = self.invoke(ctx) | |
| File "C:\Users\nevi\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke |
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| Running target/release/deps/arithmetic_kernels-7e3bd642dd080b65 | |
| add 512 time: [16.508 us 16.651 us 16.832 us] | |
| Found 12 outliers among 100 measurements (12.00%) | |
| 3 (3.00%) high mild | |
| 9 (9.00%) high severe | |
| add 512 simd time: [15.454 us 15.727 us 16.069 us] | |
| Found 18 outliers among 100 measurements (18.00%) | |
| 1 (1.00%) high mild | |
| 17 (17.00%) high severe |
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| #[test] | |
| fn test_list_array_slice() { | |
| // Construct a value array | |
| let value_data = ArrayData::builder(DataType::Int32) | |
| .len(8) | |
| .add_buffer(Buffer::from(&[0, 1, 2, 3, 4, 5, 6, 7].to_byte_slice())) | |
| .build(); | |
| // Construct a buffer for value offsets, for the nested array: | |
| // [[0, 1, 2], [3, 4, 5], [6, 7]] |
import pyarrow as pa
import pyarrow.parquet as pq
import pandas as pdI am trying to periodically poll a database (every 7 seconds) and get a list of values, which I pass to a NATS server.
The overall process is that I run an Interval stream, and each time I get a result from the stream, I call a function that returns a stream/iterator over values that I pass to NATS.
I've been doing it inside a loop {} so that if my overall process fails, the loop is restarted.
I have tried the suggestion from @OtaK, but I get an error with moving the client into my closure, because temporary value gets outlived.
I can't clone the client, so the only thing that worked was to create a connection per instance of my loop.
nevi-me
/ interest_calc.csv
Created
November 21, 2016 09:38
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| Period | Capital | InterestRate | Repayment | |
|---|---|---|---|---|
| 201601 | 0.00 | 0.10 | 0.00 | |
| 201602 | 1000.00 | 0.00 | 0.00 | |
| 201603 | 2000.00 | 0.10 | 0.00 | |
| 201604 | 0.00 | 0.10 | -200.00 | |
| 201605 | 0.00 | 0.10 | -200.00 | |
| 201606 | 0.00 | 0.10 | -200.00 | |
| 201607 | 0.00 | 0.10 | -200.00 | |
| 201608 | 0.00 | 0.00 | -200.00 | |
| 201609 | 0.00 | 0.10 | -200.00 |
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