dft
provides two client interfaces to the DataFusion query execution engine:
- Text User Interface (TUI): An IDE for DataFusion developers and users that provides a local database experience with utilities to analyze / benchmark queries.
- Command Line Interface (CLI): Scriptable engine for executing queries from files.
Additionally, it provides a FlightSQL server implementation leveraging the same execution engine behind the TUI and CLI. This allows users to iterate quickly develop a database and then seamlessly deploy it.
dft
is inspired by datafusion-cli
, but has some differences:
dft
TUI focuses on more complete and interactive experience for users.dft
contains many built in integrations such as Delta Lake, Iceberg, and MySQL (Coming Soon) that are not available indatafusion-cli
.
The objective of dft
is to provide users with the experience of having their own local database that allows them to query and join data from disparate data sources all from the terminal.
SQL & FlightSQL Editor and Results | Query History and Stats |
---|---|
Filterable Logs | DataFusion Session Context Details |
Some of the current and planned features are:
- Tab management to provide clean and structured organization of DataFusion queries, results, and context
- SQL editor
- Write query results to file (TODO)
- Query history
- History and statistics of executed queries
- ExecutionContext information
- Information from ExecutionContext / Catalog / ObjectStore / State / Config
- Logs
- Logs from
dft
andDataFusion
- Logs from
- SQL editor
- Custom
ObjectStore
Support- S3, Azure(TODO), GCP(TODO)
ObjectStore
explorer. I.e. able to list files inObjectStore
TableProviderFactory
data sources- Deltalake
- Iceberg (TODO)
- Hudi (TODO)
- Preloading DDL from
~/.config/dft/ddl.sql
(or a user defined path) for local database available on startup - Benchmarking local and FlightSQL queries with breakdown of query execution time
- "Catalog File" support - see #122
- Save table definitions and data
- Save parquet metadata from remote object stores
Currently dft
does not display wide result sets well (because the widget library that we use does not support horizontal scrolling - we are working with them to see what we can do about this). As a result, when working with wide data sets its best to be selective with the columns that you would like to view in the ouput.
The dft
CLI is a scriptable interface to the tui
engine for executing
queries from files or the command line. The CLI is used in a similar manner to
datafusion-cli
but with the added benefit of supporting multiple pre-integrated
data sources.
$ dft -f query.sql
$ dft -c "SELECT 1+2"
Both of the commands above support the --flightsql
parameter to run the SQL with your configured FlightSQL client.
The CLI can also run your configured DDL prior to executing the query by adding the --run-ddl
parameter.
You can benchmark queries by adding the --bench
parameter. This will run the query a configurable number of times and output a breakdown of the queries execution time with summary statistics for each component of the query (logical planning, physical planning, execution time, and total time).
Optionally you can use the --run-before
param to run a query before the benchmark is run. This is useful in cases where you want to hit a temp table or write a file to disk that your benchmark query will use.
To save benchmark results to a file use the --save
parameter with a file path. Further, you can use the --append
parameter to append to the file instead of overwriting it.
The output from EXPLAIN ANALYZE
provides a wealth of information on a queries execution - however, the amount of information and connecting the dots can be difficult and manual. Further, there is detail in the MetricSet
's of the underlying ExecutionPlan
's that is lost in the output.
To help with this the --analyze
flag can used to generate a summary of the underlying ExecutionPlan
MetricSet
s. The summary presents the information in a way that is hopefully easier to understand and easier to draw conclusions on a query's performance.
This feature is still in it's early stages and is expected to evolve. Once it has gone through enough real world testing and it has been confirmed the metrics make sense documentation will be added on the exact calculations - until then the source will need to be inspected to see the calculations.
The dft
FlightSQL server (feature flag experimental-flightsql-server
) is a Flight service that can be used to execute SQL queries against DataFusion. The server is started by running dft --serve
and can optionally run your configured DDL with the --run-ddl
parameter.
This feature is experimental and does not currently implement all FlightSQL endpoints. Endpoints will be added in tandem with adding more features to the FlightSQL clients within the TUI and CLI.
Currently, the only supported packaging is on crates.io. If you already have Rust installed it can be installed by running cargo install datafusion-tui
. If rust is not installed you can download following the directions here.
Once installed you can run dft
to start the application.
dft
incubates several optional features in it's crates
directory. This provides us with the ability to quickly iterate on new features and test them in the main application while at the same time making it easy to export them to their own crates when they are ready.
Includes functions from [datafusion-function-parquet] for querying Parquet files in DataFusion in dft
. For example:
SELECT * FROM parquet_metadata('my_parquet_file.parquet')
dft
also has several external optional (conditionally compiled features) integrations which are controlled by Rust Crate Features
To build with all features, you can run
cargo install --path . --all-features
Mutliple s3 ObjectStore
s can be registered, following the below model in your configuration file.
[[execution.object_store.s3]]
bucket_name = "my_bucket"
object_store_url = "s3://my_bucket"
aws_endpoint = "https://s3.amazonaws"
aws_access_key_id = "MY_ACCESS_KEY"
aws_secret_access_key = "MY SECRET"
[[execution.object_store.s3]]
bucket_name = "my_bucket"
object_store_url = "ny1://my_bucket"
aws_endpoint = "https://s3.amazonaws"
aws_access_key_id = "MY_ACCESS_KEY"
aws_secret_access_key = "MY SECRET"
Then you can run DDL such as
CREATE EXTERNAL TABLE my_table STORED AS PARQUET LOCATION 's3://my_bucket/table';
CREATE EXTERNAL TABLE other_table STORED AS PARQUET LOCATION 'ny1://other_bucket/table';
A separate editor for connecting to a FlightSQL server is provided.
The default connection_url
is http://localhost:50051
but this can be configured your config as well:
[flightsql]
connection_url = "http://myhost:myport"
Register deltalake tables. For example:
CREATE EXTERNAL TABLE table_name STORED AS DELTATABLE LOCATION 's3://bucket/table'
Adds functions from datafusion-function-json for querying JSON strings in DataFusion in dft
. For example:
select * from foo where json_get(attributes, 'bar')::string='ham'
(show examples of using operators too)
To have the best experience with dft
it is highly recommended to define all of your DDL in ~/.config/ddl.sql
so that any tables you wish to query are available at startup. Additionally, now that DataFusion supports CREATE VIEW
via sql you can also make a VIEW
based on these tables.
For example, your DDL file could look like the following:
CREATE EXTERNAL TABLE users STORED AS NDJSON LOCATION 's3://bucket/users';
CREATE EXTERNAL TABLE transactions STORED AS PARQUET LOCATION 's3://bucket/transactions';
CREATE EXTERNAL TABLE listings STORED AS PARQUET LOCATION 'file://folder/listings';
CREATE VIEW OR REPLACE users_listings AS SELECT * FROM users LEFT JOIN listings USING (user_id);
This would make the tables users
, transactions
, listings
, and the view users_listings
available at startup. Any of these DDL statements could also be run interactively from the SQL editor as well to create the tables.
The interface is split into several tabs and modes so that relevant information can be viewed and controlled in a clean and organized manner. When not writing a SQL query keys can be entered to navigate and control the interface.
Editor for executing SQL with local DataFusion SessionContext
.
- Normal mode
- Not editable
q
=> quit datafusion-tuie
=> start editing SQL Editor in Edit modec
=> clear contents of SQL EditorEnter
=> execute query- Enter the tab number in brackets after a tabs name to navigate to that tab
- If query results are longer or wider than screen, you can use arrow keys to scroll
- Editable
- Character keys to write queries
- Backspace / tab / enter work same as normal
Shift
+ Up/Down/Left/Right => Select textAlt
+Enter
=> execute queryesc
to exit Edit mode and go back to Normal mode
- Not editable
- DDL mode
- Not editable
l
=> load configured DDL file into editorenter
=> rerun configured DDL files
=> write editor contents to configured DDL file
- Editable
- Character keys to write queries
- Backspace / tab / enter work same as normal
Shift
+ Up/Down/Left/Right => Select textAlt
+Enter
=> execute queryesc
to exit Edit mode and go back to Normal mode
- Not editable
Same interface as SQL tab but sends SQL queries to FlightSQL server.
- Normal mode
q
=> quit datafusion-tuie
=> start editing SQL Editor in Edit modec
=> clear contents of SQL EditorEnter
=> execute query- Enter the tab number in brackets after a tabs name to navigate to that tab
- If query results are longer or wider than screen, you can use arrow keys to scroll
- Edit mode
- Character keys to write queries
- Backspace / tab / enter work same as normal
Shift
+ Up/Down/Left/Right => Select textAlt
+Enter
=> execute queryesc
to exit Edit mode and go back to Normal mode
TODO
- Logging mode (coming from tui_logger)
h
=> Toggles target selector widget hidden/visiblef
=> Toggle focus on the selected target onlyUP
=> Select previous target in target selector widgetDOWN
=> Select next target in target selector widgetLEFT
=> Reduce SHOWN (!) log messages by one levelRIGHT
=> Increase SHOWN (!) log messages by one level-
=> Reduce CAPTURED (!) log messages by one level+
=> Increase CAPTURED (!) log messages by one levelPAGEUP
=> Enter Page Mode and scroll approx. half page up in log history.PAGEDOWN
=> Only in page mode: scroll 10 events down in log history.ESCAPE
=> Exit page mode and go back to scrolling modeSPACE
=> Toggles hiding of targets, which have logfilter set to off
The dft
configuration is stored in ~/.config/dft/config.toml
. All configuration options are listed below.
The execution config is where you can define query execution properties. You can configure the ObjectStore
s that you want to use in your queries and path of a DDL file that you want to run on startup. For example, if you have an S3 bucket you want to query you could define it like so:
[[execution.object_store.s3]]
bucket_name = "my_bucket"
object_store_url = "s3://my_bucket"
aws_endpoint = "https://s3.amazonaws"
aws_access_key_id = "MY_ACCESS_KEY"
aws_secret = "MY SECRET"
aws_session_token = "MY_SESSION"
aws_allow_http = false
And define a custom DDL path like so (the default is ~/.config/dft/ddl.sql
).
[execution]
ddl_path = "/path/to/my/ddl.sql"
Multiple ObjectStore
s can be defined in the config file. In the future datafusion SessionContext
and SessionState
options can be configured here.
Set the number of iterations for benchmarking queries (10 is the default).
[execution]
benchmark_iterations = 10
The batch size for query execution can be configured based on the app being used (TUI, CLI, or FlightSQL Server). For the TUI it defaults to 100, which may slow down queries, because a Record Batch is used as a unit of pagination and too many rows can cause the TUI to hang. For the CLI and FlightSQL Server, the default is 8092.
[execution]
cli_batch_size = 8092
tui_batch_size = 100
flightsql_server_batch_size = 8092
The display config is where you can define the frame rate of the TUI.
[display]
frame_rate = 60
The interaction config is where mouse and paste behavior can be defined. This is not currently implemented.
[interaction]
mouse = true
paste = true
The FlightSQL config is where you can define the connection URL for the FlightSQL server.
[flightsql]
connection_url = "http://localhost:50051"
The editor config is where you can set your preferred editor settings.
Currently only syntax highlighting is supported. It is experimental because currently the regex that is used to determine keywords only works in simple cases.
[editor]
experimental_syntax_highlighting = true