How does Atlas detect if my SQL script is waiting for input?

Atlas's `bash` tool monitors command execution. If a SQL command, such as a `Flyway migrations` script or a `pgTAP` test, stalls and is detected as waiting for interactive input, Atlas explicitly states this in the `shell_metadata` block of its output when the timeout expires. This clear message helps you distinguish it from a genuinely slow operation.

Can Atlas help me debug a slow `pgTAP` test suite?

Yes, Atlas can help. If your `pgTAP` test suite is genuinely slow and exceeds the default timeout when run via `atlas bash 'pg_prove t/*.sql'`, Atlas will instruct you to retry with a larger timeout value in milliseconds. This allows you to allocate sufficient time for the tests to complete without premature termination.

What if my `sqlfluff format` command is hanging?

If your `sqlfluff format` command is hanging, run it through Atlas: `atlas bash 'sqlfluff format my_query.sql'`. If it's blocked on input, Atlas's `shell_metadata` will tell you. You can then re-run it with non-interactive flags like `atlas bash 'sqlfluff format --no-input my_query.sql'` to resolve the issue.

How does Atlas ensure my SQL schema changes are safe?

Atlas ensures safety for SQL schema changes, like those from `Flyway migrations`, through several mechanisms. All tool calls are permission-gated, and Atlas drafts plans in a read-only agent. Crucially, any proposed edits to your `.sql` files or migration scripts generate a unified diff that you must explicitly approve before Atlas writes the changes, providing full control.

Can Atlas manage timeouts for `Flyway migrations`?

Absolutely. When you run `Flyway migrations` commands through `atlas bash`, Atlas applies a timeout. If a migration is genuinely long-running, Atlas will suggest increasing the timeout. If it's blocked on interactive input, Atlas will diagnose that, allowing you to re-run with appropriate non-interactive flags for a smooth migration process.

Does Atlas integrate with my existing SQL development environment?

Atlas is terminal-native and works within your existing repository structure. It reads your `.sql` files, schema definitions, and `Flyway migrations` history directly. You run Atlas in your repo, and it leverages your local SQL toolchain, including `pgTAP` and `sqlfluff format`, without requiring complex integrations or changes to your setup.

Diagnose a Hanging or Long-Running SQL Command with Atlas in 2026

In 2026, Atlas helps SQL developers diagnose hanging or long-running commands by racing every execution against a timeout, providing clear feedback on whether a `Flyway migrations` script, `pgTAP` test suite, or `sqlfluff format` operation is genuinely slow or silently blocked on interactive input. This allows you to quickly unblock your workflow and ensure your SQL development proceeds efficiently.

How Atlas Diagnoses Hanging SQL Commands

Atlas, the terminal-native AI coding agent, employs a robust `bash` tool that races every command against a predefined timeout, a feature critical for SQL developers in 2026. When a `Flyway migrations` script or a complex `.sql` query exceeds this limit, Atlas provides a detailed `shell_metadata` block, explicitly distinguishing between a genuinely slow operation and one blocked on interactive input.

When you execute a SQL-related command through Atlas, such as running `pgTAP` tests or applying a schema change with `Flyway migrations`, Atlas's `bash` tool monitors its execution. If the command does not complete within the specified timeout, Atlas terminates it and presents a `shell_metadata` block. This block is invaluable for SQL developers, as it clearly states whether the command was killed due to a timeout because it was genuinely long-running, or if it was waiting for interactive input. This precise diagnosis prevents wasted time spent waiting for a command that will never complete without intervention, a common frustration when dealing with complex SQL toolchains.

Identifying Blocked SQL Toolchain Operations

A common scenario for SQL developers in 2026 involves a `sqlfluff format` command or a `Flyway migrations` script silently waiting for input, often due to an unexpected prompt. Atlas's diagnostic message explicitly calls out this interactive-input case, providing a clear path forward. This capability is a significant time-saver, preventing hours of debugging a seemingly unresponsive process.

Atlas's `shell_metadata` output is designed to be unambiguous. If a command like `sqlfluff format my_schema.sql` or a `Flyway migrations` command is blocked because it requires user input, the metadata will clearly indicate this. For instance, it might state that the command was 'killed because it was waiting for interactive input.' This immediate feedback is crucial for SQL workflows, where scripts might unexpectedly prompt for confirmation or credentials. Instead of guessing why a process has stalled, Atlas provides the exact reason, allowing you to quickly identify and address the interactive prompt, often by re-running the command with non-interactive flags like `--no-input` or `-y`.

Resolving Interactive Input Blocks in SQL Workflows

Once Atlas identifies a SQL command, such as a `Flyway migrations` execution or a `pgTAP` test run, as blocked on interactive input, the solution is straightforward. In 2026, developers can re-run the command with specific non-interactive flags, ensuring it completes without requiring manual intervention. This approach streamlines CI/CD pipelines and automated scripting.

If Atlas's `shell_metadata` indicates that your SQL command, perhaps `Flyway migrate` or a custom `.sql` script, was blocked on interactive input, the next step is to re-execute it with the appropriate non-interactive flags. Most SQL tools and their associated command-line interfaces offer options to suppress prompts, such as `--no-input`, `-y` (for 'yes'), or a dedicated 'CI mode' flag. For example, if `Flyway migrate` was prompting for confirmation, you might re-run it as `atlas bash 'flyway -y migrate'`. Atlas's ability to suggest these flags based on its diagnosis empowers SQL developers to quickly adapt their commands for automated environments or to simply bypass unexpected prompts during local development.

Handling Genuinely Slow SQL Operations with Atlas

For SQL commands that are genuinely slow, such as a complex `pgTAP` test suite or a large `Flyway migrations` script, Atlas provides clear instructions to adjust the timeout. In 2026, this means retrying the command with a larger timeout value in milliseconds, ensuring long-running but valid operations are not prematurely terminated. This flexibility is key for optimizing database operations.

Not all long-running SQL commands are blocked; some, like a comprehensive `pgTAP` test suite against a large database or a `Flyway migrations` script applying extensive schema changes, are simply resource-intensive and take time. When Atlas's `shell_metadata` indicates a command was 'killed because it exceeded the timeout' without mentioning interactive input, it means the command was genuinely slow. Atlas's output will then instruct you to retry the command with a larger timeout value, specified in milliseconds. For example, if `atlas bash 'pg_prove t/*.sql'` timed out, you might retry with `atlas bash --timeout 600000 'pg_prove t/*.sql'` to allow 10 minutes for execution, providing the necessary leeway for complex SQL operations to complete.

Reviewing and Approving SQL Changes with Atlas

Atlas ensures safety and control over all SQL-related changes, from optimizing queries to writing `Flyway migrations`, by implementing a multi-stage review process. In 2026, every Atlas tool call is permission-gated, and any proposed file edit, such as to a `.sql` schema file, generates a unified diff for explicit approval before writing. This prevents unintended modifications.

When Atlas assists with tasks like optimizing a complex SQL query or drafting a new `Flyway migrations` script, it prioritizes developer oversight. Before any tool, including `bash` or `read`, is executed, it passes through permission-gated allow, ask, or deny rules. Furthermore, Atlas drafts a plan in a read-only plan agent and seeks approval before switching to a build agent that can make changes. Crucially, for any proposed modification to your `.sql` files or migration scripts, Atlas computes a unified diff. This diff is presented to you for explicit approval, allowing you to review every line change before it is written to disk. This rigorous review process, combined with Atlas's ability to snapshot file changes as git patches, provides a robust safety net for all SQL development.

Step by step

01Run your SQL command, such as `Flyway migrate` or `pg_prove t/*.sql`, through Atlas's `bash` tool with a default timeout: `atlas bash 'flyway migrate'`.
02Examine the `shell_metadata` block in Atlas's output if the command is killed. Look for explicit messages indicating 'waiting for interactive input' or 'exceeded the timeout'.
03If Atlas reports the SQL command was 'waiting for interactive input', re-run it with non-interactive flags. For example, `atlas bash 'flyway -y migrate'` or `atlas bash 'sqlfluff format --no-input my_query.sql'`.
04If Atlas reports the SQL command 'exceeded the timeout' without mentioning interactive input, retry with a larger timeout value in milliseconds: `atlas bash --timeout 300000 'pg_prove t/*.sql'` (for 5 minutes).
05If you manually aborted the command, Atlas's `shell_metadata` will confirm 'User aborted the command', distinguishing your interrupt from an automatic timeout.
06Review any proposed changes to your `.sql` files or `Flyway migrations` scripts by Atlas, approving the unified diff before writing to ensure accuracy and prevent unintended modifications.

Frequently asked questions

How does Atlas detect if my SQL script is waiting for input?: Atlas's `bash` tool monitors command execution. If a SQL command, such as a `Flyway migrations` script or a `pgTAP` test, stalls and is detected as waiting for interactive input, Atlas explicitly states this in the `shell_metadata` block of its output when the timeout expires. This clear message helps you distinguish it from a genuinely slow operation.
Can Atlas help me debug a slow `pgTAP` test suite?: Yes, Atlas can help. If your `pgTAP` test suite is genuinely slow and exceeds the default timeout when run via `atlas bash 'pg_prove t/*.sql'`, Atlas will instruct you to retry with a larger timeout value in milliseconds. This allows you to allocate sufficient time for the tests to complete without premature termination.
What if my `sqlfluff format` command is hanging?: If your `sqlfluff format` command is hanging, run it through Atlas: `atlas bash 'sqlfluff format my_query.sql'`. If it's blocked on input, Atlas's `shell_metadata` will tell you. You can then re-run it with non-interactive flags like `atlas bash 'sqlfluff format --no-input my_query.sql'` to resolve the issue.
How does Atlas ensure my SQL schema changes are safe?: Atlas ensures safety for SQL schema changes, like those from `Flyway migrations`, through several mechanisms. All tool calls are permission-gated, and Atlas drafts plans in a read-only agent. Crucially, any proposed edits to your `.sql` files or migration scripts generate a unified diff that you must explicitly approve before Atlas writes the changes, providing full control.
Can Atlas manage timeouts for `Flyway migrations`?: Absolutely. When you run `Flyway migrations` commands through `atlas bash`, Atlas applies a timeout. If a migration is genuinely long-running, Atlas will suggest increasing the timeout. If it's blocked on interactive input, Atlas will diagnose that, allowing you to re-run with appropriate non-interactive flags for a smooth migration process.
Does Atlas integrate with my existing SQL development environment?: Atlas is terminal-native and works within your existing repository structure. It reads your `.sql` files, schema definitions, and `Flyway migrations` history directly. You run Atlas in your repo, and it leverages your local SQL toolchain, including `pgTAP` and `sqlfluff format`, without requiring complex integrations or changes to your setup.

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