review fixes

This commit is contained in:
Dan Tasse
2026-07-31 14:26:53 -04:00
parent de7065ae50
commit 7fe38e99b0
8 changed files with 407 additions and 88 deletions
+13 -8
View File
@@ -15,14 +15,19 @@ optional columnBytes: Record<string, number>;
```
The compressed on-disk bytes of each column, keyed by dotted field path
("meta", "meta.geo", "meta.geo.lat"). Every nesting level gets an entry
covering the field's own bytes plus its whole subtree, so a struct
reports its total while its children report the breakdown (the
top-level entries alone sum to `totalBytes`). Counts data-file bytes
only: blob sidecar payloads and index files are not included, and blob
columns therefore report just their descriptor bytes. Undefined when
the backend provides no per-column breakdown (e.g. older remote
servers).
("meta", "meta.geo", "meta.geo.lat"). A struct's subfields each get
their own entry, and every entry covers the field's own bytes plus its
whole subtree, so a struct reports its total while its children report
the breakdown (the top-level entries alone sum to `totalBytes`). List
elements are not broken out: a list column reports a single total with
its element bytes rolled in. Path segments containing anything other
than letters, digits, or `_` are backtick-quoted, so a subfield named
`a.b` under `meta` is keyed as "meta.`a.b`".
Counts data-file bytes only: blob sidecar payloads and index files are
not included, and blob columns therefore report just their descriptor
bytes. Undefined when the backend provides no per-column breakdown
(e.g. older remote servers).
***
+17
View File
@@ -270,6 +270,23 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
expect(columnBytes["id"] + columnBytes["meta"]).toBe(stats.totalBytes);
});
it("should not break out list elements as their own column", async () => {
const conn = await connect(tmpDir.name);
const lists = await conn.createTable("list_stats", [
{ id: 1, tags: ["a", "b"] },
{ id: 2, tags: ["c", "d"] },
]);
const stats = await lists.stats();
const columnBytes = stats.columnBytes!;
// A list's element is an encoding detail, not a column, so there is no
// redundant "tags.item" entry duplicating "tags".
expect(Object.keys(columnBytes).sort()).toEqual(["id", "tags"]);
// The element bytes are rolled into the list column, not dropped.
expect(columnBytes["tags"]).toBeGreaterThan(0);
expect(columnBytes["id"] + columnBytes["tags"]).toBe(stats.totalBytes);
});
it("should overwrite data if asked", async () => {
const addRes = await table.add([{ id: 1 }, { id: 2 }]);
expect(addRes).toHaveProperty("version");
+13 -8
View File
@@ -1019,14 +1019,19 @@ pub struct TableStatistics {
pub fragment_stats: FragmentStatistics,
/// The compressed on-disk bytes of each column, keyed by dotted field path
/// ("meta", "meta.geo", "meta.geo.lat"). Every nesting level gets an entry
/// covering the field's own bytes plus its whole subtree, so a struct
/// reports its total while its children report the breakdown (the
/// top-level entries alone sum to `totalBytes`). Counts data-file bytes
/// only: blob sidecar payloads and index files are not included, and blob
/// columns therefore report just their descriptor bytes. Undefined when
/// the backend provides no per-column breakdown (e.g. older remote
/// servers).
/// ("meta", "meta.geo", "meta.geo.lat"). A struct's subfields each get
/// their own entry, and every entry covers the field's own bytes plus its
/// whole subtree, so a struct reports its total while its children report
/// the breakdown (the top-level entries alone sum to `totalBytes`). List
/// elements are not broken out: a list column reports a single total with
/// its element bytes rolled in. Path segments containing anything other
/// than letters, digits, or `_` are backtick-quoted, so a subfield named
/// `a.b` under `meta` is keyed as "meta.`a.b`".
///
/// Counts data-file bytes only: blob sidecar payloads and index files are
/// not included, and blob columns therefore report just their descriptor
/// bytes. Undefined when the backend provides no per-column breakdown
/// (e.g. older remote servers).
pub column_bytes: Option<HashMap<String, i64>>,
}
+11 -2
View File
@@ -63,7 +63,16 @@ from ..query import (
LanceTakeQueryBuilder,
LanceVectorQueryBuilder,
)
from ..table import AsyncTable, BlobMode, Branches, IndexStatistics, Query, Table, Tags
from ..table import (
AsyncTable,
BlobMode,
Branches,
IndexStatistics,
Query,
Table,
TableStatistics,
Tags,
)
from ..types import BaseTokenizerType
@@ -1010,7 +1019,7 @@ class RemoteTable(Table):
):
return LOOP.run(self._table.wait_for_index(index_names, timeout))
def stats(self):
def stats(self) -> TableStatistics:
return LOOP.run(self._table.stats())
@property
+58 -8
View File
@@ -1018,6 +1018,13 @@ class Table(ABC):
def stats(self) -> TableStatistics:
"""
Retrieve table and fragment statistics.
Returns
-------
TableStatistics
Subscript access (``stats["total_bytes"]``) is still supported for
backwards compatibility with the older API, which returned a
dictionary.
"""
raise NotImplementedError
@@ -4948,8 +4955,15 @@ class AsyncTable:
async def stats(self) -> TableStatistics:
"""
Retrieve table and fragment statistics.
Returns
-------
TableStatistics
Subscript access (``stats["total_bytes"]``) is still supported for
backwards compatibility with the older API, which returned a
dictionary.
"""
return await self._inner.stats()
return TableStatistics._from_dict(await self._inner.stats())
async def uri(self) -> str:
"""
@@ -6146,13 +6160,19 @@ class TableStatistics:
Statistics about fragments in the table.
column_bytes: dict[str, int] | None
The compressed on-disk bytes of each column, keyed by dotted field path
("meta", "meta.geo", "meta.geo.lat"). Every nesting level gets an entry
covering the field's own bytes plus its whole subtree, so a struct
reports its total while its children report the breakdown (the
top-level entries alone sum to ``total_bytes``). Counts data-file bytes
only: blob sidecar payloads and index files are not included, and blob
columns therefore report just their descriptor bytes. ``None`` when the
backend provides no per-column breakdown (e.g. older remote servers).
("meta", "meta.geo", "meta.geo.lat"). A struct's subfields each get their
own entry, and every entry covers the field's own bytes plus its whole
subtree, so a struct reports its total while its children report the
breakdown (the top-level entries alone sum to ``total_bytes``). List
elements are not broken out: a list column reports a single total with
its element bytes rolled in. Path segments containing anything other
than letters, digits, or ``_`` are backtick-quoted, so a subfield named
``a.b`` under ``meta`` is keyed as ``meta.`a.b```.
Counts data-file bytes only: blob sidecar payloads and index files are
not included, and blob columns therefore report just their descriptor
bytes. ``None`` when the backend provides no per-column breakdown (e.g.
older remote servers).
"""
total_bytes: int
@@ -6161,6 +6181,26 @@ class TableStatistics:
fragment_stats: FragmentStatistics
column_bytes: Optional[Dict[str, int]] = None
@classmethod
def _from_dict(cls, stats: Dict[str, Any]) -> TableStatistics:
fragment_stats = stats["fragment_stats"]
return cls(
total_bytes=stats["total_bytes"],
num_rows=stats["num_rows"],
num_indices=stats["num_indices"],
fragment_stats=FragmentStatistics(
num_fragments=fragment_stats["num_fragments"],
num_small_fragments=fragment_stats["num_small_fragments"],
lengths=FragmentSummaryStats(**fragment_stats["lengths"]),
),
column_bytes=stats.get("column_bytes"),
)
# This exists for backwards compatibility with an older API, which returned
# a dictionary instead of a class.
def __getitem__(self, key):
return getattr(self, key)
@dataclass
class FragmentStatistics:
@@ -6182,6 +6222,11 @@ class FragmentStatistics:
num_small_fragments: int
lengths: FragmentSummaryStats
# This exists for backwards compatibility with an older API, which returned
# a dictionary instead of a class.
def __getitem__(self, key):
return getattr(self, key)
@dataclass
class FragmentSummaryStats:
@@ -6214,6 +6259,11 @@ class FragmentSummaryStats:
p75: int
p99: int
# This exists for backwards compatibility with an older API, which returned
# a dictionary instead of a class.
def __getitem__(self, key):
return getattr(self, key)
class Tags:
"""
+9 -4
View File
@@ -20,6 +20,7 @@ from lancedb.conftest import MockTextEmbeddingFunction
from lancedb.query import ColumnOrdering
from lancedb.remote import ClientConfig
from lancedb.remote.errors import HttpError, RetryError
from lancedb.table import TableStatistics
import pytest
import pyarrow as pa
@@ -1009,9 +1010,9 @@ def test_stats():
table = db.create_table("test", [{"id": 1}])
res = table.stats()
print(f"{res=}")
# A server that omits the per-column breakdown reports it as None
# rather than leaving the key out.
assert res == {**stats, "column_bytes": None}
# A server that omits the per-column breakdown reports it as None.
assert res == TableStatistics._from_dict({**stats, "column_bytes": None})
assert res.column_bytes is None
def test_stats_column_bytes():
@@ -1053,7 +1054,11 @@ def test_stats_column_bytes():
with mock_lancedb_connection(handler) as db:
table = db.create_table("test", [{"id": 1}])
assert table.stats() == stats
res = table.stats()
# The dotted paths are opaque to the client: whatever breakdown the
# server sends is passed through verbatim.
assert res == TableStatistics._from_dict(stats)
assert res.column_bytes == stats["column_bytes"]
@contextlib.contextmanager
+85 -24
View File
@@ -24,7 +24,12 @@ from lancedb.db import AsyncConnection, DBConnection
from lancedb.embeddings import EmbeddingFunctionConfig, EmbeddingFunctionRegistry
from lancedb.expr import col, lit
from lancedb.pydantic import LanceModel, Vector
from lancedb.table import LanceTable
from lancedb.table import (
FragmentStatistics,
FragmentSummaryStats,
LanceTable,
TableStatistics,
)
from pydantic import BaseModel
@@ -3393,26 +3398,25 @@ def test_stats(mem_db: DBConnection):
assert len(table) == 2
stats = table.stats()
print(f"{stats=}")
assert stats == {
"total_bytes": 60,
"num_rows": 2,
"num_indices": 0,
"fragment_stats": {
"num_fragments": 1,
"num_small_fragments": 1,
"lengths": {
"min": 2,
"max": 2,
"mean": 2,
"p25": 2,
"p50": 2,
"p75": 2,
"p99": 2,
},
},
assert stats == TableStatistics(
total_bytes=60,
num_rows=2,
num_indices=0,
fragment_stats=FragmentStatistics(
num_fragments=1,
num_small_fragments=1,
lengths=FragmentSummaryStats(
min=2, max=2, mean=2, p25=2, p50=2, p75=2, p99=2
),
),
# Both columns are counted, and the two together make up total_bytes.
"column_bytes": {"text": 34, "id": 26},
}
column_bytes={"text": 34, "id": 26},
)
# Subscript access still works, for callers written against the older API
# that returned a plain dictionary.
assert stats["total_bytes"] == stats.total_bytes == 60
assert stats["fragment_stats"]["lengths"]["p99"] == 2
assert stats["column_bytes"] == stats.column_bytes
def test_stats_column_bytes_nested(mem_db: DBConnection):
@@ -3430,7 +3434,8 @@ def test_stats_column_bytes_nested(mem_db: DBConnection):
data=[{"id": i, "meta": {"a": i, "b": f"value-{i}"}} for i in range(100)],
schema=schema,
)
column_bytes = table.stats()["column_bytes"]
stats = table.stats()
column_bytes = stats.column_bytes
# Nested fields get their own dotted-path entries.
assert set(column_bytes) == {"id", "meta", "meta.a", "meta.b"}
@@ -3439,7 +3444,63 @@ def test_stats_column_bytes_nested(mem_db: DBConnection):
# A struct's entry covers its whole subtree.
assert column_bytes["meta"] >= column_bytes["meta.a"] + column_bytes["meta.b"]
# Top-level entries alone sum to the table total.
assert column_bytes["id"] + column_bytes["meta"] == table.stats()["total_bytes"]
assert column_bytes["id"] + column_bytes["meta"] == stats.total_bytes
def test_stats_column_bytes_list_elements_not_broken_out(mem_db: DBConnection):
"""A list's element is an encoding detail, not a column, so it must not
appear as a redundant ``tags.item`` entry duplicating ``tags``."""
schema = pa.schema(
[
pa.field("id", pa.int32()),
pa.field("tags", pa.list_(pa.utf8())),
pa.field("vector", pa.list_(pa.float32(), 4)),
]
)
table = mem_db.create_table(
"list_stats",
data=[
{"id": i, "tags": [f"tag-{i}", "shared"], "vector": [0.1] * 4}
for i in range(100)
],
schema=schema,
)
stats = table.stats()
assert set(stats.column_bytes) == {"id", "tags", "vector"}
# The element bytes are rolled into the list column, not dropped.
assert stats.column_bytes["tags"] > 0
assert sum(stats.column_bytes.values()) == stats.total_bytes
def test_stats_column_bytes_dotted_field_name(mem_db: DBConnection):
"""A subfield whose name contains a dot is backtick-quoted so it stays
distinguishable from the nested path that spells the same way."""
schema = pa.schema(
[
pa.field(
"meta",
pa.struct(
[
pa.field("a.b", pa.int32()),
pa.field("a", pa.struct([pa.field("b", pa.int32())])),
]
),
)
]
)
table = mem_db.create_table(
"dotted_stats",
data=[{"meta": {"a.b": i, "a": {"b": i * 1000}}} for i in range(100)],
schema=schema,
)
stats = table.stats()
# All four fields are present; naive dotted keying would collide the leaf
# named "a.b" with the meta -> a -> b path and silently lose one.
assert set(stats.column_bytes) == {"meta", "meta.`a.b`", "meta.a", "meta.a.b"}
assert stats.column_bytes["meta.a"] == stats.column_bytes["meta.a.b"]
assert stats.column_bytes["meta"] == stats.total_bytes
@pytest.mark.asyncio
@@ -3449,8 +3510,8 @@ async def test_stats_column_bytes_async(mem_db_async: AsyncConnection):
data=[{"text": "foo", "id": 0}, {"text": "bar", "id": 1}],
)
stats = await table.stats()
assert set(stats["column_bytes"]) == {"text", "id"}
assert sum(stats["column_bytes"].values()) == stats["total_bytes"]
assert set(stats.column_bytes) == {"text", "id"}
assert sum(stats.column_bytes.values()) == stats.total_bytes
def test_create_table_empty_list_with_schema(mem_db: DBConnection):
+201 -34
View File
@@ -23,6 +23,7 @@ use lance::dataset::{InsertBuilder, WriteParams};
use lance::index::DatasetIndexExt;
use lance::index::scalar::load_segment_params;
use lance::io::{ObjectStoreParams, WrappingObjectStore};
use lance_core::datatypes::{Field as LanceField, format_field_path};
use lance_datafusion::utils::StreamingWriteSource;
use lance_index::IndexCriteria;
use lance_io::object_store::{LanceNamespaceStorageOptionsProvider, StorageOptionsAccessor};
@@ -3471,38 +3472,17 @@ impl BaseTable for NativeTable {
let ds_stats = Arc::new(ds_clone).calculate_data_stats().await?;
let total_bytes = ds_stats.fields.iter().map(|f| f.bytes_on_disk).sum::<u64>() as usize;
// One entry per field at every nesting level, keyed by dotted path
// ("meta", "meta.geo", "meta.geo.lat"). Each entry is the field's own
// bytes plus its whole subtree, so a struct reports its total while its
// children report the breakdown. Every field gets an entry even when
// the stats report no bytes for it (empty table, legacy storage), so
// columns appear as 0 rather than being absent.
let bytes_by_id: HashMap<u32, u64> = ds_stats
.fields
.iter()
.map(|f| (f.id, f.bytes_on_disk))
.collect();
fn subtree_bytes(
field: &lance_core::datatypes::Field,
path: String,
bytes_by_id: &HashMap<u32, u64>,
column_bytes: &mut HashMap<String, u64>,
) -> u64 {
let mut total = bytes_by_id.get(&(field.id as u32)).copied().unwrap_or(0);
for child in &field.children {
total += subtree_bytes(
child,
format!("{path}.{}", child.name),
bytes_by_id,
column_bytes,
);
}
column_bytes.insert(path, total);
total
}
let mut column_bytes: HashMap<String, u64> = HashMap::new();
let mut path = Vec::new();
for column in &ds.schema().fields {
subtree_bytes(column, column.name.clone(), &bytes_by_id, &mut column_bytes);
path.push(column.name.as_str());
record_column_bytes(column, &mut path, &bytes_by_id, &mut column_bytes);
path.pop();
}
let frags = ds.get_fragments();
@@ -3573,6 +3553,54 @@ impl BaseTable for NativeTable {
}
}
/// The bytes stored for `field` itself plus every field nested beneath it, at
/// any depth.
///
/// Fields the stats don't mention count as 0, so a column on an empty table (or
/// on legacy storage, where `bytes_on_disk` is always 0) reports 0 rather than
/// being left out of the breakdown entirely.
fn subtree_bytes(field: &LanceField, bytes_by_id: &HashMap<u32, u64>) -> u64 {
let own = u32::try_from(field.id)
.ok()
.and_then(|id| bytes_by_id.get(&id).copied())
.unwrap_or(0);
own + field
.children
.iter()
.map(|child| subtree_bytes(child, bytes_by_id))
.sum::<u64>()
}
/// Records one [`TableStatistics::column_bytes`] entry for `field` — keyed by
/// the dotted path in `path` — and one for each of its named subfields,
/// recursively.
///
/// Only a struct's children are named: a list's element is an encoding detail
/// with no user-facing name, so its bytes roll up into the list column itself
/// instead of appearing under a redundant `tags.item` key. Every entry covers
/// the field's whole subtree either way, so a struct reports its total while
/// its children report the breakdown.
///
/// Paths go through [`format_field_path`], which backtick-quotes any segment
/// that needs it. Without that, a leaf named `a.b` under `meta` and the path
/// `meta` -> `a` -> `b` would both key on `meta.a.b` and one would silently
/// overwrite the other.
fn record_column_bytes<'a>(
field: &'a LanceField,
path: &mut Vec<&'a str>,
bytes_by_id: &HashMap<u32, u64>,
column_bytes: &mut HashMap<String, u64>,
) {
column_bytes.insert(format_field_path(path), subtree_bytes(field, bytes_by_id));
if field.logical_type.is_struct() {
for child in &field.children {
path.push(child.name.as_str());
record_column_bytes(child, path, bytes_by_id, column_bytes);
path.pop();
}
}
}
#[skip_serializing_none]
#[derive(Debug, Deserialize, PartialEq)]
pub struct TableStatistics {
@@ -3589,13 +3617,20 @@ pub struct TableStatistics {
pub fragment_stats: FragmentStatistics,
/// The compressed on-disk bytes of each column, keyed by dotted field
/// path ("meta", "meta.geo", "meta.geo.lat"). Every nesting level gets an
/// entry covering the field's own bytes plus its whole subtree, so a
/// struct reports its total while its children report the breakdown (the
/// top-level entries alone sum to `total_bytes`). Counts data-file bytes
/// only: blob sidecar payloads and index files are not included, and blob
/// columns therefore report just their descriptor bytes. `None` when the
/// backend provides no per-column breakdown (e.g. older remote servers).
/// path ("meta", "meta.geo", "meta.geo.lat"). A struct's subfields each
/// get their own entry, and every entry covers the field's own bytes plus
/// its whole subtree, so a struct reports its total while its children
/// report the breakdown (the top-level entries alone sum to
/// `total_bytes`). List elements are not broken out: a list column
/// reports a single total with its element bytes rolled in. Path segments
/// containing anything other than letters, digits, or `_` are
/// backtick-quoted, so a subfield named `a.b` under `meta` is keyed as
/// ``meta.`a.b` ``.
///
/// Counts data-file bytes only: blob sidecar payloads and index files are
/// not included, and blob columns therefore report just their descriptor
/// bytes. `None` when the backend provides no per-column breakdown (e.g.
/// older remote servers).
#[serde(default)]
pub column_bytes: Option<HashMap<String, u64>>,
}
@@ -3635,9 +3670,10 @@ mod tests {
use std::sync::atomic::{AtomicBool, Ordering};
use std::time::Duration;
use arrow_array::builder::{ListBuilder, StringBuilder};
use arrow_array::{
ArrayRef, Int32Array, RecordBatch, RecordBatchIterator, RecordBatchReader, StringArray,
StructArray,
ArrayRef, FixedSizeListArray, Float32Array, Int32Array, RecordBatch, RecordBatchIterator,
RecordBatchReader, StringArray, StructArray,
};
use arrow_schema::{DataType, Field, Schema};
use futures::TryStreamExt;
@@ -5209,4 +5245,135 @@ mod tests {
// Exactly the four expected paths, nothing else.
assert_eq!(column_bytes.len(), 4);
}
/// A list's element child is an encoding detail, not a column, so it must
/// not show up as a redundant `tags.item` entry duplicating `tags`.
#[tokio::test]
pub async fn test_stats_column_bytes_list_elements_not_broken_out() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let conn = ConnectBuilder::new(uri).execute().await.unwrap();
let schema = Arc::new(Schema::new(vec![
Field::new("id", DataType::Int32, false),
Field::new(
"tags",
DataType::List(Arc::new(Field::new("item", DataType::Utf8, true))),
true,
),
Field::new(
"vector",
DataType::FixedSizeList(Arc::new(Field::new("item", DataType::Float32, true)), 4),
true,
),
]));
let mut tags = ListBuilder::new(StringBuilder::new());
for i in 0..100 {
tags.values().append_value(format!("tag-{i}"));
tags.values().append_value("shared");
tags.append(true);
}
let batch = RecordBatch::try_new(
schema.clone(),
vec![
Arc::new(Int32Array::from_iter_values(0..100)),
Arc::new(tags.finish()),
Arc::new(
FixedSizeListArray::try_new(
Arc::new(Field::new("item", DataType::Float32, true)),
4,
Arc::new(Float32Array::from_iter_values(
(0..400).map(|i| i as f32 / 10.0),
)),
None,
)
.unwrap(),
),
],
)
.unwrap();
let table = conn
.create_table("list_stats", batch)
.execute()
.await
.unwrap();
let stats = table.stats().await.unwrap();
let column_bytes = stats.column_bytes.unwrap();
// One entry per column: no `tags.item`, no `vector.item`.
assert_eq!(
column_bytes.keys().cloned().collect::<HashSet<_>>(),
HashSet::from(["id".to_string(), "tags".to_string(), "vector".to_string()])
);
// The element bytes are rolled into the list column, not dropped.
assert!(column_bytes["tags"] > 0);
assert!(column_bytes["vector"] > 0);
assert_eq!(
column_bytes["id"] + column_bytes["tags"] + column_bytes["vector"],
stats.total_bytes as u64
);
}
/// A subfield whose name contains a dot must not collide with the nested
/// path that spells the same way. Here `meta` has both a leaf named `a.b`
/// and a struct `a` containing `b`; naive `format!("{path}.{name}")` keying
/// would produce `meta.a.b` twice and silently lose one field.
#[tokio::test]
pub async fn test_stats_column_bytes_dotted_field_name() {
let tmp_dir = tempdir().unwrap();
let uri = tmp_dir.path().to_str().unwrap();
let conn = ConnectBuilder::new(uri).execute().await.unwrap();
let a_fields = vec![Field::new("b", DataType::Int32, true)];
let meta_fields = vec![
Field::new("a.b", DataType::Int32, true),
Field::new("a", DataType::Struct(a_fields.clone().into()), true),
];
let schema = Arc::new(Schema::new(vec![Field::new(
"meta",
DataType::Struct(meta_fields.clone().into()),
true,
)]));
let meta = StructArray::new(
meta_fields.into(),
vec![
Arc::new(Int32Array::from_iter_values(0..100)) as ArrayRef,
Arc::new(StructArray::new(
a_fields.into(),
vec![
Arc::new(Int32Array::from_iter_values((0..100).map(|i| i * 1000)))
as ArrayRef,
],
None,
)) as ArrayRef,
],
None,
);
let batch = RecordBatch::try_new(schema.clone(), vec![Arc::new(meta)]).unwrap();
let table = conn
.create_table("dotted_stats", batch)
.execute()
.await
.unwrap();
let stats = table.stats().await.unwrap();
let column_bytes = stats.column_bytes.unwrap();
// All four fields are present, with the dotted name backtick-quoted so
// it stays distinguishable from the `meta` -> `a` -> `b` path.
assert_eq!(
column_bytes.keys().cloned().collect::<HashSet<_>>(),
HashSet::from([
"meta".to_string(),
"meta.`a.b`".to_string(),
"meta.a".to_string(),
"meta.a.b".to_string(),
])
);
assert!(column_bytes["meta.`a.b`"] > 0);
assert!(column_bytes["meta.a.b"] > 0);
assert_eq!(column_bytes["meta.a"], column_bytes["meta.a.b"]);
assert_eq!(column_bytes["meta"], stats.total_bytes as u64);
}
}