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Querying Unity Catalog with DuckDB UC extension requires retrying the first SQL statement #8

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edwardsdm opened this issue Jul 10, 2024 · 2 comments

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@edwardsdm
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edwardsdm commented Jul 10, 2024

The information below has been share with the Databricks UC engineering team. They suggested the issue is likely with the DuckDB UC extension.

Credential serving is enabled on the Databricks instance the code is connecting to.

Duckdb CLI installed on MacOS - Retry SHOW TABLES query

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R - Retry SHOW TABLES query

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Python - Retry SHOW TABLES query

Additionally even after a successful SHOW TABLES query no tables are found and the table queried successfully in R cannot be queried using Python.

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@edwardsdm edwardsdm changed the title Querying Unity Catalog with R & Python DuckDB packages requires retrying the first SQL statement Querying Unity Catalog with DuckDB UC extension requires retrying the first SQL statement Jul 10, 2024
@bschulth
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bschulth commented Jul 11, 2024

At least part of the problem appears to be that the extension is trying to convert column types to an internal type:

if (type_text == "tinyint") {
return LogicalType::TINYINT;
} else if (type_text == "smallint") {
return LogicalType::SMALLINT;
} else if (type_text == "bigint") {
return LogicalType::BIGINT;
} else if (type_text == "int") {
return LogicalType::INTEGER;
} else if (type_text == "long") {
return LogicalType::BIGINT;
} else if (type_text == "string") {
return LogicalType::VARCHAR;
} else if (type_text == "double") {
return LogicalType::DOUBLE;
} else if (type_text == "float") {
return LogicalType::FLOAT;
} else if (type_text == "boolean") {
return LogicalType::BOOLEAN;
} else if (type_text == "timestamp") {
return LogicalType::TIMESTAMP;
} else if (type_text == "binary") {
return LogicalType::BLOB;
} else if (type_text == "date") {
return LogicalType::DATE;
} else if (type_text == "timestamp") {
return LogicalType::TIMESTAMP; // TODO: Is this the right timestamp
} else if (type_text.find("decimal(") == 0) {
size_t spec_end = type_text.find(')');
if (spec_end != string::npos) {
size_t sep = type_text.find(',');
auto prec_str = type_text.substr(8, sep - 8);
auto scale_str = type_text.substr(sep + 1, spec_end - sep - 1);
uint8_t prec = Cast::Operation<string_t, uint8_t>(prec_str);
uint8_t scale = Cast::Operation<string_t, uint8_t>(scale_str);
return LogicalType::DECIMAL(prec, scale);
}
} else if (type_text.find("array<") == 0) {
size_t type_end = type_text.rfind('>'); // find last, to deal with nested
if (type_end != string::npos) {
auto child_type_str = type_text.substr(6, type_end - 6);
auto child_type = UCUtils::TypeToLogicalType(context, child_type_str);
return LogicalType::LIST(child_type);
}
} else if (type_text.find("map<") == 0) {
size_t type_end = type_text.rfind('>'); // find last, to deal with nested
if (type_end != string::npos) {
// TODO: Factor this and struct parsing into an iterator over ',' separated values
vector<LogicalType> key_val;
size_t cur = 4;
auto nested_opens = 0;
for (;;) {
size_t next_sep = cur;
// find the location of the next ',' ignoring nested commas
while (type_text[next_sep] != ',' || nested_opens > 0) {
if (type_text[next_sep] == '<') {
nested_opens++;
} else if (type_text[next_sep] == '>') {
nested_opens--;
}
next_sep++;
if (next_sep == type_end) {
break;
}
}
auto child_str = type_text.substr(cur, next_sep - cur);
auto child_type = UCUtils::TypeToLogicalType(context, child_str);
key_val.push_back(child_type);
if (next_sep == type_end) {
break;
}
cur = next_sep + 1;
}
if (key_val.size() != 2) {
throw NotImplementedException("Invalid map specification with %i types", key_val.size());
}
return LogicalType::MAP(key_val[0], key_val[1]);
}
} else if (type_text.find("struct<") == 0) {
size_t type_end = type_text.rfind('>'); // find last, to deal with nested
if (type_end != string::npos) {
child_list_t<LogicalType> children;
size_t cur = 7;
auto nested_opens = 0;
for (;;) {
size_t next_sep = cur;
// find the location of the next ',' ignoring nested commas
while (type_text[next_sep] != ',' || nested_opens > 0) {
if (type_text[next_sep] == '<') {
nested_opens++;
} else if (type_text[next_sep] == '>') {
nested_opens--;
}
next_sep++;
if (next_sep == type_end) {
break;
}
}
auto child_str = type_text.substr(cur, next_sep - cur);
size_t type_sep = child_str.find(':');
if (type_sep == string::npos) {
throw NotImplementedException("Invalid struct child type specifier: %s", child_str);
}
auto child_name = child_str.substr(0, type_sep);
auto child_type = UCUtils::TypeToLogicalType(context, child_str.substr(type_sep + 1, string::npos));
children.push_back({child_name, child_type});
if (next_sep == type_end) {
break;
}
cur = next_sep + 1;
}
return LogicalType::STRUCT(children);
}
}

But it does not have a mapping for "varchar(xxxx)", so it throws an exception:

throw NotImplementedException("Tried to fallback to unknown type for '%s'", type_text);

Scanning our (databricks) system.information_schema.columns for unique full_data_types

select distinct data_type, full_data_type from system.information_schema.columns where data_type not in ('DECIMAL', 'STRUCT', 'ARRAY', 'MAP') order by data_type, full_data_type

It looks like you might also need to map:

  • varchar(xxxx)
  • char(xxx)

Maybe also the 'unsized' versions for extra diligence?

  • char
  • varchar
image

@samansmink
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Hi @edwardsdm, thanks for reporting this. We will take a look at this at some point. Currently we have prioritized the development of the Delta extension over the uc_catalog extension so I can not give a timeline yet!

@gdubya gdubya mentioned this issue Sep 26, 2024
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