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# 7.3.4. Output trace log

## 7.3.4.1. Summary

Added in version 13.0.9.

Note

This is an experimental feature. Currently, this feature is still not stable.

This feature requires Command version 3 or later.

Trace log is similar information to PostgreSQL’s `EXPLAIN (ANALYZE, VERBOSE)` information. It includes the followings:

- What was executed?

- Which index was used?

- How long did the operation take?

- What value was used internal?

- …

Trace log contents may be insufficient for now because this feature is still experimental. If you want more information, please report it to the GitHub issue with your use case.

## 7.3.4.2. Usage

You can get trace log by specifying `yes` as `output_trace_log`. You also need to specify `3` as Command version.

Command line style:

    select ... --output_trace_log yes --command_version 3

URI style:

    /d/select?...&output_trace_log=yes&command_version=3

## 7.3.4.3. Format

Trace log is available only when you use JSON or Apache Arrow Output format. If you don’t specify output format, JSON is used by default.

### 7.3.4.3.1. JSON

You can specify JSON output format explicitly like the followings:

Command line style:

    select ... --output_trace_log yes --command_version 3 --output_type json

URI style:

    /d/select.json?...&output_trace_log=yes&command_version=3

or

    /d/select?...&output_trace_log=yes&command_version=3&output_type=json

Here is an output structure for JSON output format:

    {
      "header": {},
      "trace_log": {
        "columns": [
          {"name": "depth"},
          {"name": "sequence"},
          {"name": "name"},
          {"name": "value"},
          {"name": "elapsed_time"}
        ],
        "logs": [
          [1, 0, "ii.select.input", "Hello", 100],
          [2, 0, "ii.select.exact.n_hits", 2, 200],
          [1, 1, "ii.select.n_hits", 2, 210]
        ],
      ],
      "body": []
    }

If `output_trace_log` is `yes`, `"trace_log": {...}` is added. It has 2 key-value pairs:

Key | Description
--- | ---
`columns` | An array of column metadata for each trace log entry
`logs` | An array of trace log entries

Each `columns` element has the following key-value pairs:

Key | Description
--- | ---
`name` | The name of column

Each `logs` element has the following elements:

Index | Name | Description
--- | --- | ---
0 | `depth` | The execution level. Multiple trace logs may be outputted for one execution level. If there are multiple trace logs for one execution level, `sequence` is incremented for each trace logs in the same execution level.
1 | `sequence` | The sequence number in the same execution level. If this is `0`, it shows that new execution level is started.
2 | `name` | The name of this trace log.

3

`value`

The value of this trace log.

The value type must be one of the followings:

- Integer

- String

4 | `elapsed_time` | The elapsed time since the command is started. Unit is nano second.

`logs` is a flat array but it may be able to format as a tree like PostgreSQL’s `EXPLAIN (ANALYZE, VERBOSE)` output based on `depth` and `sequence`. Groonga may have an option to do it in the future or we may provide a tool for it.

Example:

    {
      "header": {
        "return_code": 0,
        "start_time": 0.0,
        "elapsed_time": 0.0
      },
      "trace_log": {
        "columns": [
          {
            "name": "depth"
          },
          {
            "name": "sequence"
          },
          {
            "name": "name"
          },
          {
            "name": "value"
          },
          {
            "name": "elapsed_time"
          }
        ],
        "logs": [
          [
            1,
            0,
            "ii.select.input",
            "Thas",
            0
          ],
          [
            1,
            1,
            "ii.select.operator",
            "or",
            1
          ],
          [
            2,
            0,
            "ii.select.exact.n_hits",
            0,
            2
          ],
          [
            2,
            0,
            "ii.select.fuzzy.input",
            "Thas",
            3
          ],
          [
            2,
            1,
            "ii.select.fuzzy.input.actual",
            "that",
            4
          ],
          [
            2,
            2,
            "ii.select.fuzzy.input.actual",
            "this",
            5
          ],
          [
            2,
            3,
            "ii.select.fuzzy.n_hits",
            2,
            6
          ],
          [
            1,
            2,
            "ii.select.n_hits",
            2,
            7
          ],
          [
            1,
            0,
            "ii.select.input",
            "ere",
            8
          ],
          [
            1,
            1,
            "ii.select.operator",
            "or",
            9
          ],
          [
            2,
            0,
            "ii.select.exact.n_hits",
            2,
            10
          ],
          [
            1,
            2,
            "ii.select.n_hits",
            2,
            11
          ]
        ]
      },
      "body": {
        "n_hits": 2,
        "columns": [
          {
            "name": "content",
            "type": "ShortText"
          },
          {
            "name": "_score",
            "type": "Float"
          }
        ],
        "records": [
          [
            "This is a pen",
            1.0
          ],
          [
            "That is a pen",
            1.0
          ]
        ]
      }
    }

### 7.3.4.3.2. Apache Arrow

You can specify Apache Arrow output format explicitly like the followings:

Command line style:

    select ... --output_trace_log yes --command_version 3 --output_type apache-arrow

URI style:

    /d/select.arrows?...&output_trace_log=yes&command_version=3

or

    /d/select?...&output_trace_log=yes&command_version=3&output_type=apache-arrow

Here is an output structure for Apache Arrow output format:

    ----
    Apache Arrow record batch (stream format)
    Metadata:
      GROONGA:data_type: metadata
    ----
    ----
    Apache Arrow record batch (stream format)
    Metadata:
      GROONGA:data_type: trace_log
    Schema:
      depth: uint16
      sequence: uint16
      name: string
      value: dense_union<0: uint32=0, 1: string=1>
      elapsed_time: uint64
    ----
    Apache Arrow record batch (stream format)
    Metadata:
      GROONGA:n_hits: N
    ----

The second record batch is a trace log. You can check `GROONGA:data_type` metadata to detect a record batch for trace log.

Here is descriptions of each column of the record batch:

Name | Description
--- | ---
`depth` | The execution level. Multiple trace logs may be outputted for one execution level. If there are multiple trace logs for one execution level, `sequence` is incremented for each trace logs in the same execution level.
`sequence` | The sequence number in the same execution level. If this is `0`, it shows that new execution level is started.
`name` | The name of this trace log.

`value`

The value of this trace log.

The value type must be one of the followings:

- Integer

- String

`elapsed_time` | The elapsed time since the command is started. Unit is nano second.

Example:

    depth: uint16
    sequence: uint16
    name: dictionary<values=string, indices=int16, ordered=0>
    value: dense_union<0: uint32=0, 1: string=1>
    elapsed_time: uint64
    -- metadata --
    GROONGA:data_type: trace_log
    	   depth	sequence	        name	        value	elapsed_time
    	(uint16)	(uint16)	(dictionary)	(dense_union)	    (uint64)
     0	       1	       0	ii.select.input	Thas         	           0
     1	       1	       1	ii.select.operator	or           	           1
     2	       2	       0	ii.select.exact.n_hits	            0	           2
     3	       2	       0	ii.select.fuzzy.input	Thas         	           3
     4	       2	       1	ii.select.fuzzy.input.actual	that         	           4
     5	       2	       2	ii.select.fuzzy.input.actual	this         	           5
     6	       2	       3	ii.select.fuzzy.n_hits	            2	           6
     7	       1	       2	ii.select.n_hits	            2	           7
     8	       1	       0	ii.select.input	ere          	           8
     9	       1	       1	ii.select.operator	or           	           9
    10	       2	       0	ii.select.exact.n_hits	            2	          10
    11	       1	       2	ii.select.n_hits	            2	          11