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[Java] ArrowFlightPreparedStatement is missing dynamic parameters #35536

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dafeiw opened this issue May 10, 2023 · 1 comment · Fixed by #38404
Closed

[Java] ArrowFlightPreparedStatement is missing dynamic parameters #35536

dafeiw opened this issue May 10, 2023 · 1 comment · Fixed by #38404

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@dafeiw
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dafeiw commented May 10, 2023

Describe the bug, including details regarding any error messages, version, and platform.

Hi Sir/Madam,

I noticed that ArrowFlightPreparedStatement doesn't have the dynamic parameters from flight server. (for example, SELECT * FROM where f1 = ? or f2 = ?)
ArrowFlightPreparedStatement#createNewPreparedStatement

This method only populates signature.columns and doesn't populate signature.parameters, the client side couldn't do preparedStmt.setByte(1, 0)

Could you verify if it's a bug?

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Java

@lidavidm
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Duplicate of #33475 I believe?

@dafeiw dafeiw changed the title ArrowFlightPreparedStatement is missing dynamic parameters [Java] ArrowFlightPreparedStatement is missing dynamic parameters May 10, 2023
lidavidm pushed a commit that referenced this issue Nov 4, 2023
…C driver (#38404)

This PR is a combination of #33961 and #14627. The goal is to support parametrized queries through the Arrow Flight SQL JDBC driver.

An Arrow Flight SQL server returns a Schema for the `PreparedStatement` parameters. The driver then converts the `Field` list associated with the Schema into a list of `AvaticaParameter`. When the user sets values for the parameters, Avatica generates a list of `TypedValue`, which we then bind to each parameter vector. This conversion between Arrow and Avatica is handled by implementations of a `AvaticaParameterConverter` interface for each Arrow type. This interface which provides 2 methods:
- createParameter: Create an `AvaticaParameter` from the given Arrow `Field`.
- bindParameter: Cast the given `TypedValue` and bind it to the `FieldVector` at the specified index.

This PR purposely leaves out a few features:
- We currently naively cast the `TypedValue` values assuming users set the type correctly. If this cast fails, we raise an exception letting the user know that the cast is not supported. This could be improved in subsequent PRs to do smarter conversions from other types.
- We currently don't provide conversions for complex types such as List, Map, Struct, Union, Interval, and Duration. The stubs are there so they can be implemented as needed.
- Tests for specific types have not been implemented. I'm not very familiar with a lot of these JDBC types so it's hard to implement rigorous tets.

* Closes: #33475
* Closes: #35536

Authored-by: Diego Fernandez <aiguo.fernandez@gmail.com>
Signed-off-by: David Li <li.davidm96@gmail.com>
loicalleyne pushed a commit to loicalleyne/arrow that referenced this issue Nov 13, 2023
…in JDBC driver (apache#38404)

This PR is a combination of apache#33961 and apache#14627. The goal is to support parametrized queries through the Arrow Flight SQL JDBC driver.

An Arrow Flight SQL server returns a Schema for the `PreparedStatement` parameters. The driver then converts the `Field` list associated with the Schema into a list of `AvaticaParameter`. When the user sets values for the parameters, Avatica generates a list of `TypedValue`, which we then bind to each parameter vector. This conversion between Arrow and Avatica is handled by implementations of a `AvaticaParameterConverter` interface for each Arrow type. This interface which provides 2 methods:
- createParameter: Create an `AvaticaParameter` from the given Arrow `Field`.
- bindParameter: Cast the given `TypedValue` and bind it to the `FieldVector` at the specified index.

This PR purposely leaves out a few features:
- We currently naively cast the `TypedValue` values assuming users set the type correctly. If this cast fails, we raise an exception letting the user know that the cast is not supported. This could be improved in subsequent PRs to do smarter conversions from other types.
- We currently don't provide conversions for complex types such as List, Map, Struct, Union, Interval, and Duration. The stubs are there so they can be implemented as needed.
- Tests for specific types have not been implemented. I'm not very familiar with a lot of these JDBC types so it's hard to implement rigorous tets.

* Closes: apache#33475
* Closes: apache#35536

Authored-by: Diego Fernandez <aiguo.fernandez@gmail.com>
Signed-off-by: David Li <li.davidm96@gmail.com>
dgreiss pushed a commit to dgreiss/arrow that referenced this issue Feb 19, 2024
…in JDBC driver (apache#38404)

This PR is a combination of apache#33961 and apache#14627. The goal is to support parametrized queries through the Arrow Flight SQL JDBC driver.

An Arrow Flight SQL server returns a Schema for the `PreparedStatement` parameters. The driver then converts the `Field` list associated with the Schema into a list of `AvaticaParameter`. When the user sets values for the parameters, Avatica generates a list of `TypedValue`, which we then bind to each parameter vector. This conversion between Arrow and Avatica is handled by implementations of a `AvaticaParameterConverter` interface for each Arrow type. This interface which provides 2 methods:
- createParameter: Create an `AvaticaParameter` from the given Arrow `Field`.
- bindParameter: Cast the given `TypedValue` and bind it to the `FieldVector` at the specified index.

This PR purposely leaves out a few features:
- We currently naively cast the `TypedValue` values assuming users set the type correctly. If this cast fails, we raise an exception letting the user know that the cast is not supported. This could be improved in subsequent PRs to do smarter conversions from other types.
- We currently don't provide conversions for complex types such as List, Map, Struct, Union, Interval, and Duration. The stubs are there so they can be implemented as needed.
- Tests for specific types have not been implemented. I'm not very familiar with a lot of these JDBC types so it's hard to implement rigorous tets.

* Closes: apache#33475
* Closes: apache#35536

Authored-by: Diego Fernandez <aiguo.fernandez@gmail.com>
Signed-off-by: David Li <li.davidm96@gmail.com>
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