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Skip unsupported type widening columns #22458
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Merged
ebyhr
merged 2 commits into
trinodb:master
from
SemionPar:semionpar/delta-type-widening-skipping
Jul 24, 2024
Merged
Skip unsupported type widening columns #22458
ebyhr
merged 2 commits into
trinodb:master
from
SemionPar:semionpar/delta-type-widening-skipping
Jul 24, 2024
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Contributor
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While testing nested types I discovered that for {
"type": "struct",
"fields": [
{
"name": "s",
"type": {
"type": "struct",
"fields": [
{
"name": "field",
"type": "double",
"nullable": true,
"metadata": {
"delta.typeChanges": [
{
"toType": "short",
"fromType": "byte",
"tableVersion": 2
},
{
"toType": "double",
"fromType": "short",
"tableVersion": 7
}
]
}
}
]
},
"nullable": true,
"metadata": {}
},VS {
"name": "a",
"type": {
"type": "array",
"elementType": "double",
"containsNull": true
},
"nullable": true,
"metadata": {
"delta.typeChanges": [
{
"toType": "short",
"fromType": "byte",
"tableVersion": 5,
"fieldPath": "element"
},
{
"toType": "double",
"fromType": "short",
"tableVersion": 10,
"fieldPath": "element"
}
]
}
}I will initially implement skipping of the whole struct if one of the fields type widening is not supported. |
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SemionPar
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Jul 2, 2024
plugin/trino-delta-lake/src/test/java/io/trino/plugin/deltalake/TestDeltaLakeBasic.java
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Jul 16, 2024
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Squashed commits. |
ebyhr
reviewed
Jul 22, 2024
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A change from failing to skipping is for flexibility, because Databricks supports wider variety of type changes.
Now it also signifies unsupported type widening errors.
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Description
A change from failing to skipping is for flexibility, because Databricks supports wider variety of type changes.
Draft todos:
Additional context and related issues
#22142, fixes #22433
Release notes