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Add single ALP test file (216KB, covers corner cases) #119
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| Original file line number | Diff line number | Diff line change |
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@@ -63,6 +63,7 @@ | |
| | int96_from_spark.parquet | Single column of (deprecated) int96 values that originated as Apache Spark microsecond-resolution timestamps. Some values are outside the range typically representable by 64-bit nanosecond-resolution timestamps. See [int96_from_spark.md](int96_from_spark.md) for details. | | ||
| | int96_timestamp_order.parquet | Single `required int96` column written with the `INT96_TIMESTAMP_ORDER` column order ([parquet-format #584](https://github.com/apache/parquet-format/pull/584)). Values are chosen so a byte-wise comparison disagrees with the chronological order, so the min/max statistics (and column index) are only correct for a reader that honors the new order. See [int96_timestamp_order.md](int96_timestamp_order.md) for details. | | ||
| | binary_truncated_min_max.parquet | A file containing six columns with exact, fully-truncated and partially-truncated max and min statistics and with the expected is_{min/max}_value_exact. (see [note](Binary-truncated-min-and-max-statistics)).| | ||
| | alp_extended.zstd.parquet | FLOAT and DOUBLE columns encoded using Adaptive Lossless floating-Point (ALP). See [note](#alp-encoding) below | | ||
| | json.parquet | A single optional BYTE_ARRAY column annotated with the JSON logical type (also carries the legacy converted type JSON). Four rows: `{"a":1}`, `{"a":1,"b":null}` (null field value inside a non-null document), `[1,null,3]` (null element inside an array), and a NULL row. See [note](#json-and-bson-logical-types) below. | | ||
| | bson.parquet | A single optional BYTE_ARRAY column annotated with the BSON logical type (also carries the legacy converted type BSON). Three rows: BSON `{"a":1}`, `{"a":1,"b":null}` (null field value inside a non-null document), and a NULL row. See [note](#json-and-bson-logical-types) below. | | ||
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@@ -592,6 +593,69 @@ java -jar parquet-cli/target/parquet-cli-1.16.0-SNAPSHOT-runtime.jar cat /home/r | |
| {"utf8_full_truncation": "Kevin Bacon", "binary_full_truncation": "Kevin Bacon", "utf8_partial_truncation": "🚀Kevin Bacon", "binary_partial_truncation": "ÿÿ\u0001\u0002", "utf8_no_truncation": "Ke", "binary_no_truncation": "Ke"} | ||
| ``` | ||
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| ## ALP encoding | ||
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| `alp_extended.zstd.parquet` contains FLOAT and DOUBLE columns encoded with | ||
| [Adaptive Lossless floating-Point (ALP)](https://github.com/apache/parquet-format/blob/master/Encodings.md#adaptive-lossless-floating-point-alp--10) | ||
| (`ALP = 10`). | ||
| It was created with the code in this [PR](https://github.com/apache/arrow/pull/49154). | ||
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| All columns contain the same 9032 values. The same values appear all columns so | ||
| decoders can bit-compare the `ALP` columns against known results stored with | ||
| `PLAIN` encoding. | ||
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| | Column | Encoding | Rationale / coverage | | ||
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Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I tried to explain both what is in the file, as well as to explain the rationale for including each piece |
||
| |-------------------------------------|---------------------------|-----------------------------------------------------------------------------------| | ||
| | `float_plain`, `double_plain` | `PLAIN` + zstd | In-file reference: readers can bit-compare the ALP columns against these | | ||
| | `float_alp_1024`, `double_alp_1024` | `ALP`, 1024-value vectors | The default vector size of 1024 values | | ||
| | `float_alp_4096`, `double_alp_4096` | `ALP`, 4096-value vectors | Readers must honor `log_vector_size` from the page header rather than assume 1024 | | ||
| | `float_alp_32`, `double_alp_32` | `ALP`, 32-value vectors | Many vectors per page, stresses the per-vector metadata loop | | ||
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| ### Data distribution (9032 rows) | ||
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| The "base distribution" means random values in `[-10.00, 10.00]` with exactly 2 | ||
| decimal digits (e.g. `9.43`), which are losslessly encodable by ALP (no exceptions). | ||
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| The contents of the 9032 rows are as follows: | ||
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| | Rows | Contents | Rationale / coverage | | ||
| |-----------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | ||
| | 0–1023 | base | Happy path: full vector, small frame-of-reference bit width, no exceptions | | ||
| | 1024–2047 | base, plus: NaN at 1024, 1500 and 2047 (three distinct bit patterns, see below), +Inf at 2000, −Inf at 2001, −0.0 at 2002, subnormal (`5e-324` double / `1e-45` float) at 2003 | NaN / Inf and sign/precision edge values via the exception mechanism; exceptions at exact vector boundaries; NaN payload preservation; statistics conventions (NaN excluded from min/max, ±Inf included, `nan_count`, −0.0/+0.0 normalization) | | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. nan_count is unset in the file, Is that intended?
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I did not mean to convolve the idea of nan statistics with the rest of this file (even though it contains float/double data, I was trying to focus on the ALP encoding). I removed this mention in afb7d22 (it was left over LLM generated that I hadn't cut previously). Thank you for catching it. |
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| | 2048–3071 | base, plus: `3.141592653589793` at 2500 | Exactly one exception: the full-mantissa value cannot round-trip as a decimal, and nothing else in the vector is exceptional | | ||
| | 3072–4095 | base, plus: `44974934523.343` at 3100 and `-1243432432.3432` at 3711 | Large-magnitude values | | ||
| | 4096–5119 | every 2nd value full-mantissa random, rest base | Many (but not all) exceptions | | ||
| | 5120–6143 | all values full-mantissa random | All exceptions | | ||
| | 6144–7167 | base but with 4 decimal digits (e.g. `3.1416`) | Different exponent/factor than the other vectors | | ||
| | 7168–8191 | constant (all `7.77`) | `bit_width = 0` vectors | | ||
| | 8192–8999 | base, with nulls at every 100th row (8 nulls) | Partial vector + null handling | | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Slightly different in the file I think, it's 8200, 8300, 8400, 8500, 8600, 8700, 8800, 8900 are null. So every row ordinal divisible by 100 is null. Again just a nit in the wording, since I assumed 100th row meant 8292, 8392 ...
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Indeed you are right, fixed. in 7019116. I confirmed that the null rows are in fact 8200, etc using DataFusion cli: > select file_row_index() as fir, * from 'data/alp_extended.zstd.parquet' where float_plain IS NULL;
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
| fir | float_plain | double_plain | float_alp_1024 | double_alp_1024 | float_alp_4096 | double_alp_4096 | float_alp_32 | double_alp_32 |
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
| 8200 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8300 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8400 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8500 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8600 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8700 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8800 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8900 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
8 row(s) fetched.
Elapsed 0.007 seconds.> select file_row_index() as fir, * from 'data/alp_extended.zstd.parquet' where file_row_index() BETWEEN 8180 AND 8250;
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
| fir | float_plain | double_plain | float_alp_1024 | double_alp_1024 | float_alp_4096 | double_alp_4096 | float_alp_32 | double_alp_32 |
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
| 8180 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8181 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8182 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8183 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8184 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8185 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8186 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8187 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8188 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8189 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8190 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8191 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 | 7.77 |
| 8192 | -1.04 | -1.04 | -1.04 | -1.04 | -1.04 | -1.04 | -1.04 | -1.04 |
| 8193 | -7.82 | -7.82 | -7.82 | -7.82 | -7.82 | -7.82 | -7.82 | -7.82 |
| 8194 | -2.12 | -2.12 | -2.12 | -2.12 | -2.12 | -2.12 | -2.12 | -2.12 |
| 8195 | 9.72 | 9.72 | 9.72 | 9.72 | 9.72 | 9.72 | 9.72 | 9.72 |
| 8196 | -5.09 | -5.09 | -5.09 | -5.09 | -5.09 | -5.09 | -5.09 | -5.09 |
| 8197 | 9.14 | 9.14 | 9.14 | 9.14 | 9.14 | 9.14 | 9.14 | 9.14 |
| 8198 | -9.4 | -9.4 | -9.4 | -9.4 | -9.4 | -9.4 | -9.4 | -9.4 |
| 8199 | 0.77 | 0.77 | 0.77 | 0.77 | 0.77 | 0.77 | 0.77 | 0.77 |
| 8200 | NULL | NULL | NULL | NULL | NULL | NULL | NULL | NULL |
| 8201 | -4.63 | -4.63 | -4.63 | -4.63 | -4.63 | -4.63 | -4.63 | -4.63 |
| 8202 | -1.53 | -1.53 | -1.53 | -1.53 | -1.53 | -1.53 | -1.53 | -1.53 |
| 8203 | -0.13 | -0.13 | -0.13 | -0.13 | -0.13 | -0.13 | -0.13 | -0.13 |
| 8204 | -9.36 | -9.36 | -9.36 | -9.36 | -9.36 | -9.36 | -9.36 | -9.36 |
| 8205 | 6.35 | 6.35 | 6.35 | 6.35 | 6.35 | 6.35 | 6.35 | 6.35 |
| 8206 | -4.15 | -4.15 | -4.15 | -4.15 | -4.15 | -4.15 | -4.15 | -4.15 |
| 8207 | 7.27 | 7.27 | 7.27 | 7.27 | 7.27 | 7.27 | 7.27 | 7.27 |
| 8208 | -8.3 | -8.3 | -8.3 | -8.3 | -8.3 | -8.3 | -8.3 | -8.3 |
| 8209 | 2.96 | 2.96 | 2.96 | 2.96 | 2.96 | 2.96 | 2.96 | 2.96 |
| 8210 | 9.12 | 9.12 | 9.12 | 9.12 | 9.12 | 9.12 | 9.12 | 9.12 |
| 8211 | 7.22 | 7.22 | 7.22 | 7.22 | 7.22 | 7.22 | 7.22 | 7.22 |
| 8212 | -4.66 | -4.66 | -4.66 | -4.66 | -4.66 | -4.66 | -4.66 | -4.66 |
| 8213 | 4.14 | 4.14 | 4.14 | 4.14 | 4.14 | 4.14 | 4.14 | 4.14 |
| 8214 | 9.63 | 9.63 | 9.63 | 9.63 | 9.63 | 9.63 | 9.63 | 9.63 |
| 8215 | -3.08 | -3.08 | -3.08 | -3.08 | -3.08 | -3.08 | -3.08 | -3.08 |
| 8216 | 3.5 | 3.5 | 3.5 | 3.5 | 3.5 | 3.5 | 3.5 | 3.5 |
| 8217 | -8.93 | -8.93 | -8.93 | -8.93 | -8.93 | -8.93 | -8.93 | -8.93 |
| 8218 | 8.7 | 8.7 | 8.7 | 8.7 | 8.7 | 8.7 | 8.7 | 8.7 |
| 8219 | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 | 1.85 |
| . |
| . |
| . |
+------+-------------+--------------+----------------+-----------------+----------------+-----------------+--------------+---------------+
71 row(s) fetched. (First 40 displayed. Use --maxrows to adjust)
Elapsed 0.012 seconds. |
||
| | 9000–9031 | random integer-valued values in `[−8e18, 8e18]`, with exactly -8e18 at 9000 and 8e18 at 9001 | Max FOR length (64-bit) `bit_width`; (FLOAT columns as exceptions) | | ||
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| The three NaNs use distinct bit patterns so readers are checked for preserving | ||
| non-canonical NaN payloads (ALP stores exception values bit-exactly): | ||
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| | Row | DOUBLE bits | FLOAT bits | Description | | ||
| |------|----------------------|--------------|---------------------------------| | ||
| | 1024 | `0x7FF8000000000000` | `0x7FC00000` | Canonical quiet NaN | | ||
| | 1500 | `0x7FF800DEADBEEF00` | `0x7FC0DEAD` | Quiet NaN with payload | | ||
| | 2047 | `0xFFF8000000000001` | `0xFFC00001` | Negative quiet NaN with payload | | ||
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| The file has five row groups: | ||
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| | Row group | Rows | Contents | | ||
| |-----------|-----------|---------------------------------------------------------------------| | ||
| | 0 | 0–6143 | Base + all exception cases (6144 rows, 1546 exceptions per column) | | ||
| | 1 | 6144–7167 | 4-decimal-digit values (different exponent/factor) | | ||
| | 2 | 7168–8191 | Constant `7.77` (`bit_width = 0`) | | ||
| | 3 | 8192–8999 | Partial trailing vector with 8 nulls | | ||
| | 4 | 9000–9031 | Large-magnitude values | | ||
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| To check conformance of an `ALP` decoder, read each `ALP`-encoded column and | ||
| compare the decoded values against the values from the corresponding | ||
| `PLAIN`-encoded column. The values should be match exactly (bitwise). | ||
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alamb marked this conversation as resolved.
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| ## JSON and BSON logical types | ||
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| `json.parquet` and `bson.parquet` each contain a single optional `BYTE_ARRAY` | ||
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Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. You can verify this a bit with standard tools. For example, using the tools from the Rust implementation in apache/arrow-rs#9372 andrewlamb@Andrews-MacBook-Pro-3:~/Software/parquet-testing$ ~/Software/arrow-rs/target/release/parquet-schema data/alp_extended.zstd.parquet
Metadata for file: data/alp_extended.zstd.parquet
version: 2
num of rows: 9000
created by: parquet-cpp-arrow version 23.0.0-SNAPSHOT
message schema {
OPTIONAL FLOAT float_plain;
OPTIONAL DOUBLE double_plain;
OPTIONAL FLOAT float_alp_1024;
OPTIONAL DOUBLE double_alp_1024;
OPTIONAL FLOAT float_alp_4096;
OPTIONAL DOUBLE double_alp_4096;
OPTIONAL FLOAT float_alp_32;
OPTIONAL DOUBLE double_alp_32;
}
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. The layout: andrewlamb@Andrews-MacBook-Pro-3:~/Software/parquet-testing$ ~/Software/arrow-rs/target/release/parquet-layout data/alp_extended.zstd.parquetDetails{
"row_groups": [
{
"columns": [
{
"path": "float_plain",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211391,
"length": 12
},
"column_index": {
"offset": 210367,
"length": 28
},
"bloom_filter": null,
"compression": "ZSTD",
"encodings": [
"PLAIN",
"RLE"
]
},
{
"path": "double_plain",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211403,
"length": 14
},
"column_index": {
"offset": 210395,
"length": 36
},
"bloom_filter": null,
"compression": "ZSTD",
"encodings": [
"PLAIN",
"RLE"
]
},
{
"path": "float_alp_1024",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211417,
"length": 14
},
"column_index": {
"offset": 210431,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_1024",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211431,
"length": 14
},
"column_index": {
"offset": 210459,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "float_alp_4096",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211445,
"length": 14
},
"column_index": {
"offset": 210495,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_4096",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211459,
"length": 14
},
"column_index": {
"offset": 210523,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "float_alp_32",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211473,
"length": 14
},
"column_index": {
"offset": 210559,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_32",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211487,
"length": 14
},
"column_index": {
"offset": 210587,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
}
],
"row_count": 6144
},
{
"columns": [
{
"path": "float_plain",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211501,
"length": 13
},
"column_index": {
"offset": 210623,
"length": 28
},
"bloom_filter": null,
"compression": "ZSTD",
"encodings": [
"PLAIN",
"RLE"
]
},
{
"path": "double_plain",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211514,
"length": 13
},
"column_index": {
"offset": 210651,
"length": 36
},
"bloom_filter": null,
"compression": "ZSTD",
"encodings": [
"PLAIN",
"RLE"
]
},
{
"path": "float_alp_1024",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211527,
"length": 13
},
"column_index": {
"offset": 210687,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_1024",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211540,
"length": 13
},
"column_index": {
"offset": 210715,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "float_alp_4096",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211553,
"length": 13
},
"column_index": {
"offset": 210751,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_4096",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211566,
"length": 13
},
"column_index": {
"offset": 210779,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "float_alp_32",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211579,
"length": 13
},
"column_index": {
"offset": 210815,
"length": 28
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
},
{
"path": "double_alp_32",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211592,
"length": 13
},
"column_index": {
"offset": 210843,
"length": 36
},
"bloom_filter": null,
"compression": "UNCOMPRESSED",
"encodings": [
"RLE",
"ALP"
]
}
],
"row_count": 1024
},
{
"columns": [
{
"path": "float_plain",
"has_offset_index": true,
"has_column_index": true,
"has_bloom_filter": false,
"offset_index": {
"offset": 211605,
"length": 12
},
"column_index": {
"offset": 210879,
"length": 28
},
"bloom_filter": null,
"compression": "ZSTD",
"encodings": [
"PLAIN",
"RLE"
]
},
{
"path": "double_plain",
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There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Updated layout Details
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