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Merge pull request #53398 from rschu1ze/tbl-name
Docs: Update table name in ANN docs
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c7e6b09f4d
@ -17,7 +17,7 @@ In terms of SQL, the nearest neighborhood problem can be expressed as follows:
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``` sql
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SELECT *
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FROM table
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FROM table_with_ann_index
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ORDER BY Distance(vectors, Point)
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LIMIT N
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```
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@ -32,7 +32,7 @@ An alternative formulation of the nearest neighborhood search problem looks as f
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``` sql
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SELECT *
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FROM table
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FROM table_with_ann_index
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WHERE Distance(vectors, Point) < MaxDistance
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LIMIT N
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```
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@ -50,7 +50,7 @@ of the search space (using clustering, search trees, etc.) which allows to compu
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Syntax to create an ANN index over an [Array](../../../sql-reference/data-types/array.md) column:
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```sql
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CREATE TABLE table
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CREATE TABLE table_with_ann_index
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(
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`id` Int64,
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`vectors` Array(Float32),
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@ -63,7 +63,7 @@ ORDER BY id;
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Syntax to create an ANN index over a [Tuple](../../../sql-reference/data-types/tuple.md) column:
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```sql
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CREATE TABLE table
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CREATE TABLE table_with_ann_index
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(
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`id` Int64,
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`vectors` Tuple(Float32[, Float32[, ...]]),
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@ -83,7 +83,7 @@ ANN indexes support two types of queries:
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``` sql
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SELECT *
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FROM table
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FROM table_with_ann_index
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[WHERE ...]
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ORDER BY Distance(vectors, Point)
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LIMIT N
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@ -93,7 +93,7 @@ ANN indexes support two types of queries:
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``` sql
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SELECT *
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FROM table
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FROM table_with_ann_index
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WHERE Distance(vectors, Point) < MaxDistance
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LIMIT N
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```
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@ -103,7 +103,7 @@ To avoid writing out large vectors, you can use [query
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parameters](/docs/en/interfaces/cli.md#queries-with-parameters-cli-queries-with-parameters), e.g.
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```bash
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clickhouse-client --param_vec='hello' --query="SELECT * FROM table WHERE L2Distance(vectors, {vec: Array(Float32)}) < 1.0"
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clickhouse-client --param_vec='hello' --query="SELECT * FROM table_with_ann_index WHERE L2Distance(vectors, {vec: Array(Float32)}) < 1.0"
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```
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:::
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@ -165,7 +165,7 @@ space in random linear surfaces (lines in 2D, planes in 3D etc.).
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Syntax to create an Annoy index over an [Array](../../../sql-reference/data-types/array.md) column:
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```sql
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CREATE TABLE table
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CREATE TABLE table_with_annoy_index
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(
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id Int64,
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vectors Array(Float32),
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@ -178,7 +178,7 @@ ORDER BY id;
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Syntax to create an ANN index over a [Tuple](../../../sql-reference/data-types/tuple.md) column:
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```sql
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CREATE TABLE table
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CREATE TABLE table_with_annoy_index
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(
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id Int64,
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vectors Tuple(Float32[, Float32[, ...]]),
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