Log and annotate a run

Print the stream to the Results window as quoted comma-delimited text for API callers

Annotate the canvas with a note

Show a web page, directory or file in a box on the canvas as supporting documentation

Write a message, warning or error to the Results window from an expression

Group tools on the canvas; a container can be collapsed or disabled

Show the logical and physical plan of a statement: tree, indent, pgjson or graphviz

Run the statement and show its plan with execution metrics

DataFrame method: Return the plan of the DataFrame so far

Table function listing the contents of the listed-files cache

Table function listing the contents of the file metadata cache

Table function listing the contents of the file statistics cache

Read or delete execution records from an execution information location

Read execution logging information stored in a Neo4j logging graph

Wait for named transforms to finish and emit their row counts and timings as rows

Receive rows sampled from other pipelines by a pipeline probe

Receive logging records about pipeline executions and their transforms

Query the Hop servers named in a field and return their status

Receive logging records about workflow executions and their actions

Write a message to the log at a chosen level

Write chosen field values and a message to the log

Testing aid: trigger chosen framework responses when a FlowFile or timer event arrives

Documentation text placed on the canvas beside parts of a dataflow

Write the attributes of a FlowFile to the log at a chosen level

Write a message to the log at a chosen level

Record sink: write records to the application log

Signal when the flow has had no data for a set time, and again when activity resumes

Publish a metric value or statistic set to Amazon CloudWatch

10 components that publish metrics, status, bulletins and provenance events, or monitor disk and memory

Increment a named counter, for debugging and basic counting in the flow

Record a value for a named gauge for each FlowFile processed

Log a timestamped message to the command line

Format a message with a timestamp prefix for command-line logging

Return the current timestamp as a formatted string at compile time

Report where a query spent its time

disable_logging table function

disable_profiling table function

duckdb_log_contexts table function

duckdb_logs table function

duckdb_logs_parsed table function

duckdb_profiling_settings table function

enable_logging table function

enable_profiling table function

truncate_duckdb_logs table function

write an info log line with the upstream row count, then pass rows through

rows describing the stages that have already failed in this run

write a warning log line, then pass rows through

Generate HTML documentation of an EasyMorph project

Set a custom execution status message, optionally computed by an expression

Leave a to-do note in the workflow

Report node usage and timing collected over the life of the installation

Report execution timing for every node of the workflow

Boolean setting that suppresses the short summaries the functions print, such as Misclassified

Boolean setting that prints the input matrices and fitted values while a function runs

Keep every data change as a numbered list saved with the project; click an entry to go to that state

Return run metrics for one or several steps as rows

Send a message to a syslog server

Write row data to the log

3 expressions: inspect, pipe, rechunk; print a value in passing, chain a user function, compact memory

16 methods: output_name, root_names, is_column, tree_format, serialize and others; inspect the expression itself

4 methods: explain, show_graph, profile, inspect; print, draw or time the query plan and its nodes

Add or change key-value annotations on an object

Extract an object's annotations into a table

Clear a log table created by the Log operator

Create an experiment on an MLflow tracking server

Create a run inside an existing MLflow experiment

Set an object's annotations from the rows of a table

Delete an experiment on an MLflow tracking server

Delete an MLflow run

Expose a cell value of a table as a value the Log operator can record

List the experiments on an MLflow tracking server

List the jobs executed on an AI Hub server as a table

Fetch the execution log of a job on an AI Hub server

Fetch the contents of a log file from a Real-Time Scoring Agent

List the log files of a Real-Time Scoring Agent

Fetch the current health metrics of an AI Hub server

Fetch one MLflow run by its run id

List the runs of an MLflow experiment

Record operator values and parameters to a log table on each execution

Turn on logging of each operator's runtime for the current process

Log model evaluation results (metrics, parameters) into an existing MLflow run

Convert a log table into a data table

Build feature weights from column names recorded in a log table

Print a text to the console

Expose a macro's value as a value the Log operator can record

Advance the progress bar of a custom operator by one step

Set the total number of steps for a custom operator's progress bar

Return the vector cache's hits, misses, encoded, uncached, entries and capacity counts

Add a description to a flow step or to a change entry

Collapse a run of steps into a named group on the canvas

Collect assertion and Job execution status records as a flow

Start timing one or more subJobs

Stop the timer and report the time one or more subJobs took

Count the rows passing through a flow, for tFlowMeterCatcher to log

Collect the row counts measured by tFlowMeter components as a flow

Write a log message for the developer or for the user of the task

Collect log records raised by Java exceptions, tDie or tWarn as a flow

Print rows to the run console

Collect Job and component processing statistics as a flow

Add a comment to the recipe

Insert a non-functional comment as a recipe step

Open global CommandLog of the commands executed this session

Open current sheet's CommandLog, including commands of its parent sheets

Open CommandLog of current sheet without its parents' commands

Open sheet of previous inputs

Open status message history

Save the CommandLog to a .vdj file for later replay

Load command log in TSV form, for replay

Save as command log as TSV

Load command log in JSON Lines form, for replay

Save as command log as JSON Lines with a vd -p shebang

Load command log in one-line-per-command text form, for replay

Save as command log as one-line-per-command text

Turn on strict mode, which displays more warnings

Set how much training and loading detail is logged

Print the list of dataset formats YDF reads

Record experiment keys and results under a directory and read them back as a DataFrame