samredai commented on pull request #4318:
URL: https://github.com/apache/iceberg/pull/4318#issuecomment-1082621634
Also, here's a comparison to `TypeUtil.indexById` in Java:
### Java
```java
import org.apache.iceberg.Schema;
import org.apache.iceberg.types.Types;
import org.apache.iceberg.types.TypeUtil;
Schema schema = new Schema(
Types.NestedField.required(1, "foo", Types.StringType.get()),
Types.NestedField.optional(2, "bar", Types.IntegerType.get()),
Types.NestedField.required(3, "baz", Types.BooleanType.get()),
Types.NestedField.required(4, "qux", Types.ListType.ofOptional(5,
Types.StringType.get())),
Types.NestedField.required(6, "quux", Types.MapType.ofOptional(7, 8,
Types.StringType.get(), Types.MapType.ofOptional(9, 10, Types.StringType.get(),
Types.IntegerType.get())))
);
Map<Integer, Types.NestedField> index =
TypeUtil.indexById(schema.asStruct());
System.out.println(index);
```
output:
```
{1=1: foo: required string, 2=2: bar: optional int, 3=3: baz: required
boolean, 4=4: qux: required list<string>, 5=5: element: optional string, 6=6:
quux: required map<string, map<string, int>>, 7=7: key: required string, 8=8:
value: optional map<string, int>, 9=9: key: required string, 10=10: value:
optional int}
```
### Python
```py
from iceberg.types import (
BooleanType,
IntegerType,
ListType,
MapType,
NestedField,
StringType,
StructType,
)
from iceberg.table.schema import Schema, index_by_id
schema = Schema(
NestedField(field_id=1, name="foo", field_type=StringType(),
is_optional=False),
NestedField(field_id=2, name="bar", field_type=IntegerType(),
is_optional=True),
NestedField(field_id=3, name="baz", field_type=BooleanType(),
is_optional=False),
NestedField(field_id=4, name="qux", field_type=ListType(element_id=5,
element_type=StringType(), element_is_optional=True), is_optional=True),
NestedField(field_id=6, name="quux", field_type=MapType(key_id=7,
key_type=StringType(), value_id=8, value_type=MapType(key_id=9,
key_type=StringType(), value_id=10, value_type=IntegerType(),
value_is_optional=True), value_is_optional=True), is_optional=True)
)
index = index_by_id(schema)
print(index)
```
output:
```
{
1: NestedField(field_id=1, name='foo', field_type=StringType(),
is_optional=False),
2: NestedField(field_id=2, name='bar', field_type=IntegerType(),
is_optional=True),
3: NestedField(field_id=3, name='baz', field_type=BooleanType(),
is_optional=False),
4: NestedField(field_id=4, name='qux', field_type=ListType(element_id=5,
element_type=StringType(), element_is_optional=True), is_optional=True),
5: NestedField(field_id=5, name='element', field_type=StringType(),
is_optional=True),
6: NestedField(field_id=6, name='quux', field_type=MapType(key_id=7,
key_type=StringType(), value_id=8, value_type=MapType(key_id=9,
key_type=StringType(), value_id=10, value_type=IntegerType(),
value_is_optional=True), value_is_optional=True), is_optional=True),
7: NestedField(field_id=7, name='key', field_type=StringType(),
is_optional=False),
8: NestedField(field_id=8, name='value', field_type=MapType(key_id=9,
key_type=StringType(), value_id=10, value_type=IntegerType(),
value_is_optional=True), is_optional=True),
9: NestedField(field_id=9, name='key', field_type=StringType(),
is_optional=False),
10: NestedField(field_id=10, name='value', field_type=IntegerType(),
is_optional=True),
}
```
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