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Convert information into dict #752

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@Fokko Fokko commented May 8, 2023

resolves #751

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@Fokko Fokko requested a review from a team as a code owner May 8, 2023 20:09
@Fokko Fokko requested a review from nssalian May 8, 2023 20:09
@cla-bot cla-bot bot added the cla:yes label May 8, 2023
@Fokko Fokko force-pushed the fd-information-dict branch 2 times, most recently from 17ad88f to af5ea1f Compare May 8, 2023 20:11
@Fokko Fokko changed the title Convert information into dict Convert information into dict May 8, 2023
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Fokko commented May 9, 2023

I'll fix the UT's later today

@Fokko Fokko force-pushed the fd-information-dict branch 3 times, most recently from 457b311 to 723729c Compare May 9, 2023 20:23
@Fokko Fokko force-pushed the fd-information-dict branch 2 times, most recently from 61d68fa to 06cfeda Compare May 10, 2023 14:45
@@ -139,13 +144,54 @@ def add_schema_to_cache(self, schema) -> str:
def _get_relation_information(self, row: agate.Row) -> RelationInfo:
"""relation info was fetched with SHOW TABLES EXTENDED"""
try:
_schema, name, _, information = row
table_properties = {}
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I've changed this by directly separating the columns and properties when we parse the output. I think that makes more sense than splitting this later on because the SHOW TABLES EXTENDED output is different from the DESCRIBE TABLE EXTENDED output.

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Fokko commented Jun 26, 2023

@mikealfare would you have time to look into this one? :)

dbt/adapters/spark/impl.py Outdated Show resolved Hide resolved
@mikealfare mikealfare removed the request for review from nssalian July 5, 2023 18:56
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@mikealfare would you have time to look into this one? :)

This one appears to be a bit more involved and I see that @Fleid labelled this as "pr_tracked". That means it has its own item in our (internal) backlog (= we're aware of it, but it hasn't necessarily been slotted for a sprint yet). I would look to him to get capacity for this issue.

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I very much like the goal of this PR: converting the information string to a columns and properties dict!

But ... the code changes are lot. If we can test it well and with the suggested changes, I think it is the good enough to move forward to the features that benefit from the columns and properties dict.

@@ -320,10 +322,15 @@ def test_parse_relation(self):
input_cols = [Row(keys=["col_name", "data_type"], values=r) for r in plain_rows]

config = self._get_target_http(self.project_cfg)
rows = SparkAdapter(config).parse_describe_extended(relation, input_cols)
self.assertEqual(len(rows), 4)
adapter = SparkAdapter(config)
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@Fokko : Could you rewrite this code to have a similar flow as before, i.e. (re)move the three build-up lines and have one call to get the to-be-tested object

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I've condensed the code quite a bit. Let me know what you think!

@@ -33,8 +33,8 @@ class SparkRelation(BaseRelation):
is_delta: Optional[bool] = None
is_hudi: Optional[bool] = None
is_iceberg: Optional[bool] = None
# TODO: make this a dict everywhere
information: Optional[str] = None
columns: List[Tuple[str, str]] = field(default_factory=list)
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I like this! Much better than the information string ❤️

@@ -138,13 +143,54 @@ def quote(self, identifier: str) -> str: # type: ignore
def _get_relation_information(self, row: agate.Row) -> RelationInfo:
"""relation info was fetched with SHOW TABLES EXTENDED"""
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@Fokko : Could you extend the docstring to explain that the SHOW TABLES EXTENDED is preferred because fetching multiple tables at once is faster than fetching tables one by one. And, that we except the downside of parsing the |--- string given the performance gains?

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Certainly. I've added a docstring. Let me know what you think

self, table_results: agate.Table
) -> Tuple[List[Tuple[str, str]], Dict[str, str]]:
# Wrap it in an iter, so we continue reading the properties from where we stopped reading columns
table_results_itr = iter(table_results)
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🤩

dbt/adapters/spark/impl.py Outdated Show resolved Hide resolved
Fokko and others added 2 commits August 4, 2023 16:24
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Uh oh, the comment was still pending

@@ -320,10 +322,15 @@ def test_parse_relation(self):
input_cols = [Row(keys=["col_name", "data_type"], values=r) for r in plain_rows]

config = self._get_target_http(self.project_cfg)
rows = SparkAdapter(config).parse_describe_extended(relation, input_cols)
self.assertEqual(len(rows), 4)
adapter = SparkAdapter(config)
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I've condensed the code quite a bit. Let me know what you think!

@@ -138,13 +143,54 @@ def quote(self, identifier: str) -> str: # type: ignore
def _get_relation_information(self, row: agate.Row) -> RelationInfo:
"""relation info was fetched with SHOW TABLES EXTENDED"""
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Certainly. I've added a docstring. Let me know what you think

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github-actions bot commented Feb 7, 2024

This PR has been marked as Stale because it has been open with no activity as of late. If you would like the PR to remain open, please comment on the PR or else it will be closed in 7 days.

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github-actions bot commented Aug 6, 2024

This PR has been marked as Stale because it has been open with no activity as of late. If you would like the PR to remain open, please comment on the PR or else it will be closed in 7 days.

@github-actions github-actions bot added the Stale label Aug 6, 2024
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[ADAP-518] Convert information to a dict
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