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Format settings

format_display_secrets_in_show_and_select​

Enables or disables showing secrets in SHOW and SELECT queries for tables, databases, table functions, and dictionaries.

User wishing to see secrets must also have display_secrets_in_show_and_select server setting turned on and a displaySecretsInShowAndSelect privilege.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 0.

input_format_skip_unknown_fields​

Enables or disables skipping insertion of extra data.

When writing data, ClickHouse throws an exception if input data contain columns that do not exist in the target table. If skipping is enabled, ClickHouse does not insert extra data and does not throw an exception.

Supported formats:

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

input_format_with_names_use_header​

Enables or disables checking the column order when inserting data.

To improve insert performance, we recommend disabling this check if you are sure that the column order of the input data is the same as in the target table.

Supported formats:

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

input_format_with_types_use_header​

Controls whether format parser should check if data types from the input data match data types from the target table.

Supported formats:

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

input_format_defaults_for_omitted_fields​

When performing INSERT queries, replace omitted input column values with default values of the respective columns. This option applies to JSONEachRow (and other JSON formats), CSV, TabSeparated, TSKV, Parquet, Arrow, Avro, ORC, Native formats and formats with WithNames/WithNamesAndTypes suffixes.

note

When this option is enabled, extended table metadata are sent from server to client. It consumes additional computing resources on the server and can reduce performance.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

input_format_null_as_default​

Enables or disables the initialization of NULL fields with default values, if data type of these fields is not nullable. If column type is not nullable and this setting is disabled, then inserting NULL causes an exception. If column type is nullable, then NULL values are inserted as is, regardless of this setting.

This setting is applicable for most input formats.

For complex default expressions input_format_defaults_for_omitted_fields must be enabled too.

Possible values:

  • 0 — Inserting NULL into a not nullable column causes an exception.
  • 1 — NULL fields are initialized with default column values.

Default value: 1.

input_format_allow_seeks​

Allow seeks while reading in ORC/Parquet/Arrow input formats.

Enabled by default.

input_format_max_rows_to_read_for_schema_inference​

The maximum rows of data to read for automatic schema inference.

Default value: 25'000.

input_format_max_bytes_to_read_for_schema_inference​

The maximum amount of data in bytes to read for automatic schema inference.

Default value: 33554432 (32 Mb).

column_names_for_schema_inference​

The list of column names to use in schema inference for formats without column names. The format: 'column1,column2,column3,...'

schema_inference_hints​

The list of column names and types to use as hints in schema inference for formats without schema.

Example:

Query:

desc format(JSONEachRow, '{"x" : 1, "y" : "String", "z" : "0.0.0.0" }') settings schema_inference_hints='x UInt8, z IPv4';

Result:

x   UInt8
y   Nullable(String)
z   IPv4
note

If the schema_inference_hints is not formated properly, or if there is a typo or a wrong datatype, etc... the whole schema_inference_hints will be ignored.

schema_inference_make_columns_nullable​

Controls making inferred types Nullable in schema inference for formats without information about nullability. If the setting is enabled, the inferred type will be Nullable only if column contains NULL in a sample that is parsed during schema inference.

Default value: true.

input_format_try_infer_integers​

If enabled, ClickHouse will try to infer integers instead of floats in schema inference for text formats. If all numbers in the column from input data are integers, the result type will be Int64, if at least one number is float, the result type will be Float64.

Enabled by default.

input_format_try_infer_dates​

If enabled, ClickHouse will try to infer type Date from string fields in schema inference for text formats. If all fields from a column in input data were successfully parsed as dates, the result type will be Date, if at least one field was not parsed as date, the result type will be String.

Enabled by default.

input_format_try_infer_datetimes​

If enabled, ClickHouse will try to infer type DateTime64 from string fields in schema inference for text formats. If all fields from a column in input data were successfully parsed as datetimes, the result type will be DateTime64, if at least one field was not parsed as datetime, the result type will be String.

Enabled by default.

date_time_input_format​

Allows choosing a parser of the text representation of date and time.

The setting does not apply to date and time functions.

Possible values:

  • 'best_effort' — Enables extended parsing.

    ClickHouse can parse the basic YYYY-MM-DD HH:MM:SS format and all ISO 8601 date and time formats. For example, '2018-06-08T01:02:03.000Z'.

  • 'basic' — Use basic parser.

    ClickHouse can parse only the basic YYYY-MM-DD HH:MM:SS or YYYY-MM-DD format. For example, 2019-08-20 10:18:56 or 2019-08-20.

Default value: 'basic'.

See also:

date_time_output_format​

Allows choosing different output formats of the text representation of date and time.

Possible values:

  • simple - Simple output format.

    ClickHouse output date and time YYYY-MM-DD hh:mm:ss format. For example, 2019-08-20 10:18:56. The calculation is performed according to the data type's time zone (if present) or server time zone.

  • iso - ISO output format.

    ClickHouse output date and time in ISO 8601 YYYY-MM-DDThh:mm:ssZ format. For example, 2019-08-20T10:18:56Z. Note that output is in UTC (Z means UTC).

  • unix_timestamp - Unix timestamp output format.

    ClickHouse output date and time in Unix timestamp format. For example 1566285536.

Default value: simple.

See also:

interval_output_format​

Allows choosing different output formats of the text representation of interval types.

Possible values:

  • kusto - KQL-style output format.

    ClickHouse outputs intervals in KQL format. For example, toIntervalDay(2) would be formatted as 2.00:00:00. Please note that for interval types of varying length (ie. IntervalMonth and IntervalYear) the average number of seconds per interval is taken into account.

  • numeric - Numeric output format.

    ClickHouse outputs intervals as their underlying numeric representation. For example, toIntervalDay(2) would be formatted as 2.

Default value: numeric.

See also:

input_format_ipv4_default_on_conversion_error​

Deserialization of IPv4 will use default values instead of throwing exception on conversion error.

Disabled by default.

input_format_ipv6_default_on_conversion_error​

Deserialization of IPV6 will use default values instead of throwing exception on conversion error.

Disabled by default.

bool_true_representation​

Text to represent true bool value in TSV/CSV/Vertical/Pretty formats.

Default value: true

bool_false_representation​

Text to represent false bool value in TSV/CSV/Vertical/Pretty formats.

Default value: false

output_format_decimal_trailing_zeros​

Output trailing zeros when printing Decimal values. E.g. 1.230000 instead of 1.23.

Disabled by default.

input_format_allow_errors_num​

Sets the maximum number of acceptable errors when reading from text formats (CSV, TSV, etc.).

The default value is 0.

Always pair it with input_format_allow_errors_ratio.

If an error occurred while reading rows but the error counter is still less than input_format_allow_errors_num, ClickHouse ignores the row and moves on to the next one.

If both input_format_allow_errors_num and input_format_allow_errors_ratio are exceeded, ClickHouse throws an exception.

input_format_allow_errors_ratio​

Sets the maximum percentage of errors allowed when reading from text formats (CSV, TSV, etc.). The percentage of errors is set as a floating-point number between 0 and 1.

The default value is 0.

Always pair it with input_format_allow_errors_num.

If an error occurred while reading rows but the error counter is still less than input_format_allow_errors_ratio, ClickHouse ignores the row and moves on to the next one.

If both input_format_allow_errors_num and input_format_allow_errors_ratio are exceeded, ClickHouse throws an exception.

format_schema​

This parameter is useful when you are using formats that require a schema definition, such as Cap’n Proto or Protobuf. The value depends on the format.

output_format_schema​

The path to the file where the automatically generated schema will be saved in Cap’n Proto or Protobuf formats.

output_format_enable_streaming​

Enable streaming in output formats that support it.

Disabled by default.

output_format_write_statistics​

Write statistics about read rows, bytes, time elapsed in suitable output formats.

Enabled by default

insert_distributed_one_random_shard​

Enables or disables random shard insertion into a Distributed table when there is no distributed key.

By default, when inserting data into a Distributed table with more than one shard, the ClickHouse server will reject any insertion request if there is no distributed key. When insert_distributed_one_random_shard = 1, insertions are allowed and data is forwarded randomly among all shards.

Possible values:

  • 0 — Insertion is rejected if there are multiple shards and no distributed key is given.
  • 1 — Insertion is done randomly among all available shards when no distributed key is given.

Default value: 0.

JSON formats settings​

input_format_import_nested_json​

Enables or disables the insertion of JSON data with nested objects.

Supported formats:

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 0.

See also:

input_format_json_read_bools_as_numbers​

Allow parsing bools as numbers in JSON input formats.

Enabled by default.

input_format_json_read_numbers_as_strings​

Allow parsing numbers as strings in JSON input formats.

Enabled by default.

input_format_json_read_objects_as_strings​

Allow parsing JSON objects as strings in JSON input formats.

Example:

SET input_format_json_read_objects_as_strings = 1;
CREATE TABLE test (id UInt64, obj String, date Date) ENGINE=Memory();
INSERT INTO test FORMAT JSONEachRow {"id" : 1, "obj" : {"a" : 1, "b" : "Hello"}, "date" : "2020-01-01"};
SELECT * FROM test;

Result:

┌─id─┬─obj──────────────────────┬───────date─┐
│  1 │ {"a" : 1, "b" : "Hello"} │ 2020-01-01 │
└────┴──────────────────────────┴────────────┘

Enabled by default.

input_format_json_try_infer_named_tuples_from_objects​

If enabled, during schema inference ClickHouse will try to infer named Tuple from JSON objects. The resulting named Tuple will contain all elements from all corresponding JSON objects from sample data.

Example:

SET input_format_json_try_infer_named_tuples_from_objects = 1;
DESC format(JSONEachRow, '{"obj" : {"a" : 42, "b" : "Hello"}}, {"obj" : {"a" : 43, "c" : [1, 2, 3]}}, {"obj" : {"d" : {"e" : 42}}}')

Result:

┌─name─┬─type───────────────────────────────────────────────────────────────────────────────────────────────┬─default_type─┬─default_expression─┬─comment─┬─codec_expression─┬─ttl_expression─┐
│ obj  │ Tuple(a Nullable(Int64), b Nullable(String), c Array(Nullable(Int64)), d Tuple(e Nullable(Int64))) │              │                    │         │                  │                │
└──────┴────────────────────────────────────────────────────────────────────────────────────────────────────┴──────────────┴────────────────────┴─────────┴──────────────────┴────────────────┘

Enabled by default.

input_format_json_read_arrays_as_strings​

Allow parsing JSON arrays as strings in JSON input formats.

Example:

SET input_format_json_read_arrays_as_strings = 1;
SELECT arr, toTypeName(arr), JSONExtractArrayRaw(arr)[3] from format(JSONEachRow, 'arr String', '{"arr" : [1, "Hello", [1,2,3]]}');

Result:

┌─arr───────────────────┬─toTypeName(arr)─┬─arrayElement(JSONExtractArrayRaw(arr), 3)─┐
│ [1, "Hello", [1,2,3]] │ String          │ [1,2,3]                                   │
└───────────────────────┴─────────────────┴───────────────────────────────────────────┘

Enabled by default.

input_format_json_infer_incomplete_types_as_strings​

Allow to use String type for JSON keys that contain only Null/{}/[] in data sample during schema inference. In JSON formats any value can be read as String, and we can avoid errors like Cannot determine type for column 'column_name' by first 25000 rows of data, most likely this column contains only Nulls or empty Arrays/Maps during schema inference by using String type for keys with unknown types.

Example:

SET input_format_json_infer_incomplete_types_as_strings = 1, input_format_json_try_infer_named_tuples_from_objects = 1;
DESCRIBE format(JSONEachRow, '{"obj" : {"a" : [1,2,3], "b" : "hello", "c" : null, "d" : {}, "e" : []}}');
SELECT * FROM format(JSONEachRow, '{"obj" : {"a" : [1,2,3], "b" : "hello", "c" : null, "d" : {}, "e" : []}}');

Result:

┌─name─┬─type───────────────────────────────────────────────────────────────────────────────────────────────────────────────────┬─default_type─┬─default_expression─┬─comment─┬─codec_expression─┬─ttl_expression─┐
│ obj  │ Tuple(a Array(Nullable(Int64)), b Nullable(String), c Nullable(String), d Nullable(String), e Array(Nullable(String))) │              │                    │         │                  │                │
└──────┴────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────┴──────────────┴────────────────────┴─────────┴──────────────────┴────────────────┘

┌─obj────────────────────────────┐
│ ([1,2,3],'hello',NULL,'{}',[]) │
└────────────────────────────────┘

Enabled by default.

input_format_json_validate_types_from_metadata​

For JSON/JSONCompact/JSONColumnsWithMetadata input formats, if this setting is set to 1, the types from metadata in input data will be compared with the types of the corresponding columns from the table.

Enabled by default.

output_format_json_quote_64bit_integers​

Controls quoting of 64-bit or bigger integers (like UInt64 or Int128) when they are output in a JSON format. Such integers are enclosed in quotes by default. This behavior is compatible with most JavaScript implementations.

Possible values:

  • 0 — Integers are output without quotes.
  • 1 — Integers are enclosed in quotes.

Default value: 1.

output_format_json_quote_64bit_floats​

Controls quoting of 64-bit floats when they are output in JSON* formats.

Disabled by default.

output_format_json_quote_denormals​

Enables +nan, -nan, +inf, -inf outputs in JSON output format.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 0.

Example

Consider the following table account_orders:

┌─id─┬─name───┬─duration─┬─period─┬─area─┐
│  1 │ Andrew │       20 │      0 │  400 │
│  2 │ John   │       40 │      0 │    0 │
│  3 │ Bob    │       15 │      0 │ -100 │
└────┴────────┴──────────┴────────┴──────┘

When output_format_json_quote_denormals = 0, the query returns null values in output:

SELECT area/period FROM account_orders FORMAT JSON;
{
        "meta":
        [
                {
                        "name": "divide(area, period)",
                        "type": "Float64"
                }
        ],

        "data":
        [
                {
                        "divide(area, period)": null
                },
                {
                        "divide(area, period)": null
                },
                {
                        "divide(area, period)": null
                }
        ],

        "rows": 3,

        "statistics":
        {
                "elapsed": 0.003648093,
                "rows_read": 3,
                "bytes_read": 24
        }
}

When output_format_json_quote_denormals = 1, the query returns:

{
        "meta":
        [
                {
                        "name": "divide(area, period)",
                        "type": "Float64"
                }
        ],

        "data":
        [
                {
                        "divide(area, period)": "inf"
                },
                {
                        "divide(area, period)": "-nan"
                },
                {
                        "divide(area, period)": "-inf"
                }
        ],

        "rows": 3,

        "statistics":
        {
                "elapsed": 0.000070241,
                "rows_read": 3,
                "bytes_read": 24
        }
}

output_format_json_quote_decimals​

Controls quoting of decimals in JSON output formats.

Disabled by default.

output_format_json_escape_forward_slashes​

Controls escaping forward slashes for string outputs in JSON output format. This is intended for compatibility with JavaScript. Don't confuse with backslashes that are always escaped.

Enabled by default.

output_format_json_named_tuples_as_objects​

Serialize named tuple columns as JSON objects.

Enabled by default.

input_format_json_named_tuples_as_objects​

Parse named tuple columns as JSON objects.

Enabled by default.

input_format_json_ignore_unknown_keys_in_named_tuple​

Ignore unknown keys in json object for named tuples.

Enabled by default.

input_format_json_defaults_for_missing_elements_in_named_tuple​

Insert default values for missing elements in JSON object while parsing named tuple. This setting works only when setting input_format_json_named_tuples_as_objects is enabled.

Enabled by default.

output_format_json_array_of_rows​

Enables the ability to output all rows as a JSON array in the JSONEachRow format.

Possible values:

  • 1 — ClickHouse outputs all rows as an array, each row in the JSONEachRow format.
  • 0 — ClickHouse outputs each row separately in the JSONEachRow format.

Default value: 0.

Example of a query with the enabled setting

Query:

SET output_format_json_array_of_rows = 1;
SELECT number FROM numbers(3) FORMAT JSONEachRow;

Result:

[
{"number":"0"},
{"number":"1"},
{"number":"2"}
]

Example of a query with the disabled setting

Query:

SET output_format_json_array_of_rows = 0;
SELECT number FROM numbers(3) FORMAT JSONEachRow;

Result:

{"number":"0"}
{"number":"1"}
{"number":"2"}

output_format_json_validate_utf8​

Controls validation of UTF-8 sequences in JSON output formats, doesn't impact formats JSON/JSONCompact/JSONColumnsWithMetadata, they always validate UTF-8.

Disabled by default.

format_json_object_each_row_column_for_object_name​

The name of column that will be used for storing/writing object names in JSONObjectEachRow format. Column type should be String. If value is empty, default names row_{i}will be used for object names.

Default value: ''.

input_format_json_compact_allow_variable_number_of_columns​

Allow variable number of columns in rows in JSONCompact/JSONCompactEachRow input formats. Ignore extra columns in rows with more columns than expected and treat missing columns as default values.

Disabled by default.

output_format_markdown_escape_special_characters​

When enabled, escape special characters in Markdown.

Common Mark defines the following special characters that can be escaped by \:

! " # $ % & ' ( ) * + , - . / : ; < = > ? @ [ \ ] ^ _ ` { | } ~

Possible values:

  • 0 — Disable.
  • 1 — Enable.

Default value: 0.

TSV format settings​

input_format_tsv_empty_as_default​

When enabled, replace empty input fields in TSV with default values. For complex default expressions input_format_defaults_for_omitted_fields must be enabled too.

Disabled by default.

input_format_tsv_enum_as_number​

When enabled, always treat enum values as enum ids for TSV input format. It's recommended to enable this setting if data contains only enum ids to optimize enum parsing.

Possible values:

  • 0 — Enum values are parsed as values or as enum IDs.
  • 1 — Enum values are parsed only as enum IDs.

Default value: 0.

Example

Consider the table:

CREATE TABLE table_with_enum_column_for_tsv_insert (Id Int32,Value Enum('first' = 1, 'second' = 2)) ENGINE=Memory();

When the input_format_tsv_enum_as_number setting is enabled:

Query:

SET input_format_tsv_enum_as_number = 1;
INSERT INTO table_with_enum_column_for_tsv_insert FORMAT TSV 102    2;
SELECT * FROM table_with_enum_column_for_tsv_insert;

Result:

┌──Id─┬─Value──┐
│ 102 │ second │
└─────┴────────┘

Query:

SET input_format_tsv_enum_as_number = 1;
INSERT INTO table_with_enum_column_for_tsv_insert FORMAT TSV 103    'first';

throws an exception.

When the input_format_tsv_enum_as_number setting is disabled:

Query:

SET input_format_tsv_enum_as_number = 0;
INSERT INTO table_with_enum_column_for_tsv_insert FORMAT TSV 102    2;
INSERT INTO table_with_enum_column_for_tsv_insert FORMAT TSV 103    'first';
SELECT * FROM table_with_enum_column_for_tsv_insert;

Result:

┌──Id─┬─Value──┐
│ 102 │ second │
└─────┴────────┘
┌──Id─┬─Value──┐
│ 103 │ first  │
└─────┴────────┘

input_format_tsv_use_best_effort_in_schema_inference​

Use some tweaks and heuristics to infer schema in TSV format. If disabled, all fields will be treated as String.

Enabled by default.

input_format_tsv_skip_first_lines​

The number of lines to skip at the beginning of data in TSV input format.

Default value: 0.

output_format_tsv_crlf_end_of_line​

Use DOC/Windows-style line separator (CRLF) in TSV instead of Unix style (LF).

Disabled by default.

format_tsv_null_representation​

Defines the representation of NULL for TSV output and input formats. User can set any string as a value, for example, My NULL.

Default value: \N.

Examples

Query

SELECT * FROM tsv_custom_null FORMAT TSV;

Result

788
\N
\N

Query

SET format_tsv_null_representation = 'My NULL';
SELECT * FROM tsv_custom_null FORMAT TSV;

Result

788
My NULL
My NULL

input_format_tsv_skip_trailing_empty_lines {input_format_tsv_skip_trailing_empty_lines}​

When enabled, trailing empty lines at the end of TSV file will be skipped.

Disabled by default.

input_format_tsv_allow_variable_number_of_columns​

Allow variable number of columns in rows in TSV input format. Ignore extra columns in rows with more columns than expected and treat missing columns as default values.

Disabled by default.

CSV format settings​

format_csv_delimiter​

The character is interpreted as a delimiter in the CSV data.

Default value: ,.

format_csv_allow_single_quotes​

If it is set to true, allow strings in single quotes.

Enabled by default.

format_csv_allow_double_quotes​

If it is set to true, allow strings in double quotes.

Enabled by default.

output_format_csv_crlf_end_of_line​

Use DOS/Windows-style line separator (CRLF) in CSV instead of Unix style (LF).

Disabled by default.

input_format_csv_enum_as_number​

When enabled, always treat enum values as enum ids for CSV input format. It's recommended to enable this setting if data contains only enum ids to optimize enum parsing.

Possible values:

  • 0 — Enum values are parsed as values or as enum IDs.
  • 1 — Enum values are parsed only as enum IDs.

Default value: 0.

Examples

Consider the table:

CREATE TABLE table_with_enum_column_for_csv_insert (Id Int32,Value Enum('first' = 1, 'second' = 2)) ENGINE=Memory();

When the input_format_csv_enum_as_number setting is enabled:

Query:

SET input_format_csv_enum_as_number = 1;
INSERT INTO table_with_enum_column_for_csv_insert FORMAT CSV 102,2

Result:

┌──Id─┬─Value──┐
│ 102 │ second │
└─────┴────────┘

Query:

SET input_format_csv_enum_as_number = 1;
INSERT INTO table_with_enum_column_for_csv_insert FORMAT CSV 103,'first'

throws an exception.

When the input_format_csv_enum_as_number setting is disabled:

Query:

SET input_format_csv_enum_as_number = 0;
INSERT INTO table_with_enum_column_for_csv_insert FORMAT CSV 102,2
INSERT INTO table_with_enum_column_for_csv_insert FORMAT CSV 103,'first'
SELECT * FROM table_with_enum_column_for_csv_insert;

Result:

┌──Id─┬─Value──┐
│ 102 │ second │
└─────┴────────┘
┌──Id─┬─Value─┐
│ 103 │ first │
└─────┴───────┘

input_format_csv_arrays_as_nested_csv​

When reading Array from CSV, expect that its elements were serialized in nested CSV and then put into string. Example: "[""Hello"", ""world"", ""42"""" TV""]". Braces around array can be omitted.

Disabled by default.

input_format_csv_empty_as_default​

When enabled, replace empty input fields in CSV with default values. For complex default expressions input_format_defaults_for_omitted_fields must be enabled too.

Enabled by default.

input_format_csv_use_best_effort_in_schema_inference​

Use some tweaks and heuristics to infer schema in CSV format. If disabled, all fields will be treated as String.

Enabled by default.

input_format_csv_skip_first_lines​

The number of lines to skip at the beginning of data in CSV input format.

Default value: 0.

format_csv_null_representation​

Defines the representation of NULL for CSV output and input formats. User can set any string as a value, for example, My NULL.

Default value: \N.

Examples

Query

SELECT * from csv_custom_null FORMAT CSV;

Result

788
\N
\N

Query

SET format_csv_null_representation = 'My NULL';
SELECT * FROM csv_custom_null FORMAT CSV;

Result

788
My NULL
My NULL

input_format_csv_skip_trailing_empty_lines {input_format_csv_skip_trailing_empty_lines}​

When enabled, trailing empty lines at the end of CSV file will be skipped.

Disabled by default.

input_format_csv_trim_whitespaces​

Trims spaces and tabs in non-quoted CSV strings.

Default value: true.

Examples

Query

echo '  string  ' | ./clickhouse local -q  "select * from table FORMAT CSV" --input-format="CSV" --input_format_csv_trim_whitespaces=true

Result

"string"

Query

echo '  string  ' | ./clickhouse local -q  "select * from table FORMAT CSV" --input-format="CSV" --input_format_csv_trim_whitespaces=false

Result

"  string  "

input_format_csv_allow_variable_number_of_columns​

Allow variable number of columns in rows in CSV input format. Ignore extra columns in rows with more columns than expected and treat missing columns as default values.

Disabled by default.

input_format_csv_allow_whitespace_or_tab_as_delimiter​

Allow to use whitespace or tab as field delimiter in CSV strings.

Default value: false.

Examples

Query

echo 'a b' | ./clickhouse local -q  "select * from table FORMAT CSV" --input-format="CSV" --input_format_csv_allow_whitespace_or_tab_as_delimiter=true --format_csv_delimiter=' '

Result

a  b

Query

echo 'a         b' | ./clickhouse local -q  "select * from table FORMAT CSV" --input-format="CSV" --input_format_csv_allow_whitespace_or_tab_as_delimiter=true --format_csv_delimiter='\t'

Result

a  b

input_format_csv_use_default_on_bad_values​

Allow to set default value to column when CSV field deserialization failed on bad value

Default value: false.

Examples

Query

./clickhouse local -q "create table test_tbl (x String, y UInt32, z Date) engine=MergeTree order by x"
echo 'a,b,c' | ./clickhouse local -q  "INSERT INTO test_tbl SETTINGS input_format_csv_use_default_on_bad_values=true FORMAT CSV"
./clickhouse local -q "select * from test_tbl"

Result

a  0  1971-01-01

Values format settings​

input_format_values_interpret_expressions​

Enables or disables the full SQL parser if the fast stream parser can’t parse the data. This setting is used only for the Values format at the data insertion. For more information about syntax parsing, see the Syntax section.

Possible values:

  • 0 — Disabled.

    In this case, you must provide formatted data. See the Formats section.

  • 1 — Enabled.

    In this case, you can use an SQL expression as a value, but data insertion is much slower this way. If you insert only formatted data, then ClickHouse behaves as if the setting value is 0.

Default value: 1.

Example of Use

Insert the DateTime type value with the different settings.

SET input_format_values_interpret_expressions = 0;
INSERT INTO datetime_t VALUES (now())
Exception on client:
Code: 27. DB::Exception: Cannot parse input: expected ) before: now()): (at row 1)
SET input_format_values_interpret_expressions = 1;
INSERT INTO datetime_t VALUES (now())
Ok.

The last query is equivalent to the following:

SET input_format_values_interpret_expressions = 0;
INSERT INTO datetime_t SELECT now()
Ok.

input_format_values_deduce_templates_of_expressions​

Enables or disables template deduction for SQL expressions in Values format. It allows parsing and interpreting expressions in Values much faster if expressions in consecutive rows have the same structure. ClickHouse tries to deduce the template of an expression, parse the following rows using this template and evaluate the expression on a batch of successfully parsed rows.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

For the following query:

INSERT INTO test VALUES (lower('Hello')), (lower('world')), (lower('INSERT')), (upper('Values')), ...
  • If input_format_values_interpret_expressions=1 and format_values_deduce_templates_of_expressions=0, expressions are interpreted separately for each row (this is very slow for large number of rows).
  • If input_format_values_interpret_expressions=0 and format_values_deduce_templates_of_expressions=1, expressions in the first, second and third rows are parsed using template lower(String) and interpreted together, expression in the forth row is parsed with another template (upper(String)).
  • If input_format_values_interpret_expressions=1 and format_values_deduce_templates_of_expressions=1, the same as in previous case, but also allows fallback to interpreting expressions separately if it’s not possible to deduce template.

input_format_values_accurate_types_of_literals​

This setting is used only when input_format_values_deduce_templates_of_expressions = 1. Expressions for some column may have the same structure, but contain numeric literals of different types, e.g.

(..., abs(0), ...),             -- UInt64 literal
(..., abs(3.141592654), ...),   -- Float64 literal
(..., abs(-1), ...),            -- Int64 literal

Possible values:

  • 0 — Disabled.

    In this case, ClickHouse may use a more general type for some literals (e.g., Float64 or Int64 instead of UInt64 for 42), but it may cause overflow and precision issues.

  • 1 — Enabled.

    In this case, ClickHouse checks the actual type of literal and uses an expression template of the corresponding type. In some cases, it may significantly slow down expression evaluation in Values.

Default value: 1.

Arrow format settings​

input_format_arrow_case_insensitive_column_matching​

Ignore case when matching Arrow column names with ClickHouse column names.

Disabled by default.

input_format_arrow_allow_missing_columns​

While importing data, when column is not found in schema default value will be used instead of error.

Disabled by default.

input_format_arrow_skip_columns_with_unsupported_types_in_schema_inference​

Allow skipping columns with unsupported types while schema inference for format Arrow.

Disabled by default.

output_format_arrow_low_cardinality_as_dictionary​

Allows to convert the LowCardinality type to the DICTIONARY type of the Arrow format for SELECT queries.

Possible values:

  • 0 — The LowCardinality type is not converted to the DICTIONARY type.
  • 1 — The LowCardinality type is converted to the DICTIONARY type.

Default value: 0.

output_format_arrow_string_as_string​

Use Arrow String type instead of Binary for String columns.

Disabled by default.

output_format_arrow_fixed_string_as_fixed_byte_array (#output_format_arrow_fixed_string_as_fixed_byte_array)​

Use Arrow FIXED_SIZE_BINARY type instead of Binary/String for FixedString columns.

Enabled by default.

output_format_arrow_compression_method​

Compression method used in output Arrow format. Supported codecs: lz4_frame, zstd, none (uncompressed)

Default value: lz4_frame.

ORC format settings​

input_format_orc_row_batch_size​

Batch size when reading ORC stripes.

Default value: 100'000

input_format_orc_case_insensitive_column_matching​

Ignore case when matching ORC column names with ClickHouse column names.

Disabled by default.

input_format_orc_allow_missing_columns​

While importing data, when column is not found in schema default value will be used instead of error.

Disabled by default.

input_format_orc_skip_columns_with_unsupported_types_in_schema_inference​

Allow skipping columns with unsupported types while schema inference for format Arrow.

Disabled by default.

output_format_orc_string_as_string​

Use ORC String type instead of Binary for String columns.

Disabled by default.

output_format_orc_compression_method​

Compression method used in output ORC format. Supported codecs: lz4, snappy, zlib, zstd, none (uncompressed)

Default value: none.

Parquet format settings​

input_format_parquet_case_insensitive_column_matching​

Ignore case when matching Parquet column names with ClickHouse column names.

Disabled by default.

output_format_parquet_row_group_size​

Row group size in rows.

Default value: 1'000'000.

input_format_parquet_allow_missing_columns​

While importing data, when column is not found in schema default value will be used instead of error.

Disabled by default.

input_format_parquet_skip_columns_with_unsupported_types_in_schema_inference​

Allow skipping columns with unsupported types while schema inference for format Parquet.

Disabled by default.

input_format_parquet_local_file_min_bytes_for_seek​

min bytes required for local read (file) to do seek, instead of read with ignore in Parquet input format.

Default value - 8192.

output_format_parquet_string_as_string​

Use Parquet String type instead of Binary for String columns.

Disabled by default.

output_format_parquet_fixed_string_as_fixed_byte_array (#output_format_parquet_fixed_string_as_fixed_byte_array)​

Use Parquet FIXED_LENGTH_BYTE_ARRAY type instead of Binary/String for FixedString columns.

Enabled by default.

output_format_parquet_version​

The version of Parquet format used in output format. Supported versions: 1.0, 2.4, 2.6 and 2.latest.

Default value: 2.latest.

output_format_parquet_compression_method​

Compression method used in output Parquet format. Supported codecs: snappy, lz4, brotli, zstd, gzip, none (uncompressed)

Default value: lz4.

Hive format settings​

input_format_hive_text_fields_delimiter​

Delimiter between fields in Hive Text File.

Default value: \x01.

input_format_hive_text_collection_items_delimiter​

Delimiter between collection(array or map) items in Hive Text File.

Default value: \x02.

input_format_hive_text_map_keys_delimiter​

Delimiter between a pair of map key/values in Hive Text File.

Default value: \x03.

MsgPack format settings​

input_format_msgpack_number_of_columns​

The number of columns in inserted MsgPack data. Used for automatic schema inference from data.

Default value: 0.

output_format_msgpack_uuid_representation​

The way how to output UUID in MsgPack format. Possible values:

  • bin - as 16-bytes binary.
  • str - as a string of 36 bytes.
  • ext - as extension with ExtType = 2.

Default value: ext.

Protobuf format settings​

input_format_protobuf_flatten_google_wrappers​

Enable Google wrappers for regular non-nested columns, e.g. google.protobuf.StringValue 'str' for String column 'str'. For Nullable columns empty wrappers are recognized as defaults, and missing as nulls.

Disabled by default.

output_format_protobuf_nullables_with_google_wrappers​

When serializing Nullable columns with Google wrappers, serialize default values as empty wrappers. If turned off, default and null values are not serialized.

Disabled by default.

format_protobuf_use_autogenerated_schema​

Use autogenerated Protobuf schema when format_schema is not set. The schema is generated from ClickHouse table structure using function structureToProtobufSchema

Avro format settings​

input_format_avro_allow_missing_fields​

Enables using fields that are not specified in Avro or AvroConfluent format schema. When a field is not found in the schema, ClickHouse uses the default value instead of throwing an exception.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 0.

format_avro_schema_registry_url​

Sets Confluent Schema Registry URL to use with AvroConfluent format.

Format:

http://[user:password@]machine[:port]"

Examples:

http://registry.example.com:8081
http://admin:secret@registry.example.com:8081

Default value: Empty.

output_format_avro_codec​

Sets the compression codec used for output Avro file.

Type: string

Possible values:

  • null — No compression
  • deflate — Compress with Deflate (zlib)
  • snappy — Compress with Snappy

Default value: snappy (if available) or deflate.

output_format_avro_sync_interval​

Sets minimum data size (in bytes) between synchronization markers for output Avro file.

Type: unsigned int

Possible values: 32 (32 bytes) - 1073741824 (1 GiB)

Default value: 32768 (32 KiB)

output_format_avro_string_column_pattern​

Regexp of column names of type String to output as Avro string (default is bytes). RE2 syntax is supported.

Type: string

output_format_avro_rows_in_file​

Max rows in a file (if permitted by storage).

Default value: 1.

Pretty formats settings​

output_format_pretty_max_rows​

Rows limit for Pretty formats.

Default value: 10'000.

output_format_pretty_max_column_pad_width​

Maximum width to pad all values in a column in Pretty formats.

Default value: 250.

output_format_pretty_max_value_width​

Limits the width of value displayed in Pretty formats. If the value width exceeds the limit, the value is cut.

Possible values:

  • Positive integer.
  • 0 — The value is cut completely.

Default value: 10000 symbols.

Examples

Query:

SET output_format_pretty_max_value_width = 10;
SELECT range(number) FROM system.numbers LIMIT 10 FORMAT PrettyCompactNoEscapes;

Result:

┌─range(number)─┐
│ []            │
│ [0]           │
│ [0,1]         │
│ [0,1,2]       │
│ [0,1,2,3]     │
│ [0,1,2,3,4⋯   │
│ [0,1,2,3,4⋯   │
│ [0,1,2,3,4⋯   │
│ [0,1,2,3,4⋯   │
│ [0,1,2,3,4⋯   │
└───────────────┘

Query with zero width:

SET output_format_pretty_max_value_width = 0;
SELECT range(number) FROM system.numbers LIMIT 5 FORMAT PrettyCompactNoEscapes;

Result:

┌─range(number)─┐
│ ⋯             │
│ ⋯             │
│ ⋯             │
│ ⋯             │
│ ⋯             │
└───────────────┘

output_format_pretty_color​

Use ANSI escape sequences to paint colors in Pretty formats.

Enabled by default.

output_format_pretty_grid_charset​

Allows changing a charset which is used for printing grids borders. Available charsets are UTF-8, ASCII.

Example

SET output_format_pretty_grid_charset = 'UTF-8';
SELECT * FROM a;
┌─a─┐
│ 1 │
└───┘

SET output_format_pretty_grid_charset = 'ASCII';
SELECT * FROM a;
+-a-+
| 1 |
+---+

output_format_pretty_row_numbers​

Adds row numbers to output in the Pretty format.

Possible values:

  • 0 — Output without row numbers.
  • 1 — Output with row numbers.

Default value: 0.

Example

Query:

SET output_format_pretty_row_numbers = 1;
SELECT TOP 3 name, value FROM system.settings;

Result:

   ┌─name────────────────────┬─value───┐
1. │ min_compress_block_size │ 65536   │
2. │ max_compress_block_size │ 1048576 │
3. │ max_block_size          │ 65505   │
   └─────────────────────────┴─────────┘

Template format settings​

format_template_resultset​

Path to file which contains format string for result set (for Template format).

format_template_row​

Path to file which contains format string for rows (for Template format).

format_template_rows_between_delimiter​

Delimiter between rows (for Template format).

CustomSeparated format settings {custom-separated-format-settings}​

format_custom_escaping_rule​

Sets the field escaping rule for CustomSeparated data format.

Possible values:

  • 'Escaped' — Similarly to TSV.
  • 'Quoted' — Similarly to Values.
  • 'CSV' — Similarly to CSV.
  • 'JSON' — Similarly to JSONEachRow.
  • 'XML' — Similarly to XML.
  • 'Raw' — Extracts subpatterns as a whole, no escaping rules, similarly to TSVRaw.

Default value: 'Escaped'.

format_custom_field_delimiter​

Sets the character that is interpreted as a delimiter between the fields for CustomSeparated data format.

Default value: '\t'.

format_custom_row_before_delimiter​

Sets the character that is interpreted as a delimiter before the field of the first column for CustomSeparated data format.

Default value: ''.

format_custom_row_after_delimiter​

Sets the character that is interpreted as a delimiter after the field of the last column for CustomSeparated data format.

Default value: '\n'.

format_custom_row_between_delimiter​

Sets the character that is interpreted as a delimiter between the rows for CustomSeparated data format.

Default value: ''.

format_custom_result_before_delimiter​

Sets the character that is interpreted as a prefix before the result set for CustomSeparated data format.

Default value: ''.

format_custom_result_after_delimiter​

Sets the character that is interpreted as a suffix after the result set for CustomSeparated data format.

Default value: ''.

input_format_custom_skip_trailing_empty_lines {input_format_custom_skip_trailing_empty_lines}​

When enabled, trailing empty lines at the end of file in CustomSeparated format will be skipped.

Disabled by default.

input_format_custom_allow_variable_number_of_columns​

Allow variable number of columns in rows in CustomSeparated input format. Ignore extra columns in rows with more columns than expected and treat missing columns as default values.

Disabled by default.

Regexp format settings​

format_regexp_escaping_rule​

Field escaping rule.

Possible values:

  • 'Escaped' — Similarly to TSV.
  • 'Quoted' — Similarly to Values.
  • 'CSV' — Similarly to CSV.
  • 'JSON' — Similarly to JSONEachRow.
  • 'XML' — Similarly to XML.
  • 'Raw' — Extracts subpatterns as a whole, no escaping rules, similarly to TSVRaw.

Default value: Raw.

format_regexp_skip_unmatched​

Skip lines unmatched by regular expression.

Disabled by default.

CapnProto format settings​

format_capn_proto_enum_comparising_mode​

Determines how to map ClickHouse Enum data type and CapnProto Enum data type from schema.

Possible values:

  • 'by_values' — Values in enums should be the same, names can be different.
  • 'by_names' — Names in enums should be the same, values can be different.
  • 'by_name_case_insensitive' — Names in enums should be the same case-insensitive, values can be different.

Default value: 'by_values'.

format_capn_proto_use_autogenerated_schema​

Use autogenerated CapnProto schema when format_schema is not set. The schema is generated from ClickHouse table structure using function structureToCapnProtoSchema

MySQLDump format settings​

input_format_mysql_dump_table_name (#input_format_mysql_dump_table_name)​

The name of the table from which to read data from in MySQLDump input format.

input_format_mysql_dump_map_columns (#input_format_mysql_dump_map_columns)​

Enables matching columns from table in MySQL dump and columns from ClickHouse table by names in MySQLDump input format.

Possible values:

  • 0 — Disabled.
  • 1 — Enabled.

Default value: 1.

SQLInsert format settings​

output_format_sql_insert_max_batch_size​

The maximum number of rows in one INSERT statement.

Default value: 65505.

output_format_sql_insert_table_name​

The name of table that will be used in the output INSERT statement.

Default value: table.

output_format_sql_insert_include_column_names​

Include column names in INSERT statement.

Default value: true.

output_format_sql_insert_use_replace​

Use REPLACE keyword instead of INSERT.

Default value: false.

output_format_sql_insert_quote_names​

Quote column names with "`" characters

Default value: true.

BSONEachRow format settings​

output_format_bson_string_as_string​

Use BSON String type instead of Binary for String columns.

Disabled by default.

input_format_bson_skip_fields_with_unsupported_types_in_schema_inference​

Allow skipping columns with unsupported types while schema inference for format BSONEachRow.

Disabled by default.

RowBinary format settings​

format_binary_max_string_size​

The maximum allowed size for String in RowBinary format. It prevents allocating large amount of memory in case of corrupted data. 0 means there is no limit.

Default value: 1GiB.

Native format settings​

input_format_native_allow_types_conversion​

Allow types conversion in Native input format between columns from input data and requested columns.

Enabled by default.