COPY FROM
Imports data from a comma-separated values (CSV) file or a delimited text file into an existing table. Each line in the source file is imported as a row. All rows in the dataset must contain the same number of fields and have values in the PRIMARY KEY fields.
The process verifies the PRIMARY KEY and updates existing records.
If HEADER = false and no column names are specified, the fields are imported in deterministic order.
When HEADER = true, the first row of a file is a header row.
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Only use |
Synopsis
COPY table_name [ ( column_list ) ]
FROM 'file_name'[ , 'file2_name', ... ] | STDIN
[ WITH option = 'value' [ AND ... ] ]
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Syntax legend
| Syntax conventions | Description |
|---|---|
UPPERCASE |
Literal keyword. |
Lowercase |
Not literal. |
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Variable value. Replace with a user-defined value. |
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Optional.
Square brackets ( |
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Group.
Parentheses ( |
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Or.
A vertical bar ( |
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Repeatable.
An ellipsis ( |
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Single quotation ( |
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Map collection.
Braces ( |
Set, list, map, or tuple.
Angle brackets ( |
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End CQL statement.
A semicolon ( |
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Separate the command line options from the command arguments with two hyphens ( |
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Search CQL only: Single quotation marks ( |
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Search CQL only: Identify the entity and literal value to overwrite the XML element in the schema and solrConfig files. |
Setting copy options
Copy options set in the COPY statement take precedence over the cqlshrc file and the default settings.
If an option is not set on the command line, the cqlshrc file takes precedence over the default settings.
- <table_name>
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Table for the copy operation.
- <column_list>
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List of columns in the table. All fields are included when no column names are specified. To omit columns, specify a column list with only the columns to include.
- <file_name>, <file2_name>
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CSV file name.
- BOOLSTYLE
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Boolean indicators for true and false. The values are case-insensitive. For example:
yes,noandYES,NOare the same.Default:
True,False - CONFIGFILE
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Directory that contains the
cqlshrcconfiguration file.Command line options always override the cqlshrc file.
- DATETIMEFORMAT
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Time format for reading or writing CSV time data. The timestamp uses the strftime format. If not set, the default value is set to the
datetimeformatvalue in the cqlshrc file.Default:
%Y-%m-%d %H:%M:%S%z
- DECIMALSEP
-
Decimal value separator.
Default:
.(period) - DELIMITER
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Field separator.
Default:
,(comma) - ESCAPE
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Single character that escapes literal uses of the QUOTE character.
Default:
\(backslash) - HEADER
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true: First row contains headers (column names) -
false(default): First row does not have headers
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- MAXATTEMPTS
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Maximum number of attempts for errors.
Default:
5 - NULL
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Value used when no value is in the field.
Default:
<empty> - NUMPROCESSES
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Number of worker processes. Maximum value is 16.
Default:
-1 - QUOTE
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Encloses field values.
Default: " (double quotation mark)
- REPORTFREQUENCY
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Frequency with which status is displayed in seconds.
Default:
0.25 - RATEFILE
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Print output statistics to this file.
- SKIPCOLS
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Name of column to skip.
- SKIPROWS
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Number of rows starting from the first row of data to skip.
- THOUSANDSSEP
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Separator for thousands digit groups.
Default:
None - CHUNKSIZE
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Chunk size passed to worker processes.
Default:
1000 - INGESTRATE
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Approximate ingest rate in rows per second. Must be greater than the chunk size.
Default:
100000 - MAXBATCHSIZE
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Maximum size of an import batch.
Default:
20 - MAXINSERTERRORS
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Maximum global number of insert errors. Use
-1for no maximum.Default:
-1 - MAXPARSEERRORS
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Maximum global number of parsing errors. Use
-1for no maximum.Default:
-1 - MAXROWS
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Maximum number of rows. Use
-1for no maximum.Default:
-1 - MINBATCHSIZE
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Minimum size of an import batch.
Default:
2
Examples
These examples use the following schema and data:
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Create a
cyclingkeyspace:CREATE KEYSPACE cycling WITH REPLICATION = { 'class' : 'NetworkTopologyStrategy', 'datacenter1' : 1 }; -
Create the
cycling.cyclist_nametable:CREATE TABLE cycling.cyclist_name ( id UUID PRIMARY KEY, lastname text, firstname text ); -
Insert data into
cycling.cyclist_name:INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (5b6962dd-3f90-4c93-8f61-eabfa4a803e2, 'VOS','Marianne'); INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (e7cd5752-bc0d-4157-a80f-7523add8dbcd, 'VAN DER BREGGEN','Anna'); INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (e7ae5cf3-d358-4d99-b900-85902fda9bb0, 'FRAME','Alex'); INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (220844bf-4860-49d6-9a4b-6b5d3a79cbfb, 'TIRALONGO','Paolo'); INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (6ab09bec-e68e-48d9-a5f8-97e6fb4c9b47, 'KRUIKSWIJK','Steven'); INSERT INTO cycling.cyclist_name (id, lastname, firstname) VALUES (fb372533-eb95-4bb4-8685-6ef61e994caa, 'MATTHEWS', 'Michael');
Export and import data from a table
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Export only the
idandlastnamecolumns from thecyclist_nametable to a CSV file:COPY cycling.cyclist_name (id,lastname) TO '../cyclist_lastname.csv' WITH HEADER = TRUE;The cyclist_lastname.csv file is created in the directory above the current working directory (indicated by ../). If the CSV file already exists, it is overwritten. If you do not have permission to create the file in the directory, you can use a different directory; for example, to use the current working directory, omit the directory path before the file name.
Using 7 child processes Starting copy of cycling.cyclist_name with columns [id, lastname]. Processed: 6 rows; Rate: 29 rows/s; Avg. rate: 29 rows/s 6 rows exported to 1 files in 0.223 seconds. -
Copy the
idandfirstnameto a different CSV file named cyclist_firstname.csv:COPY cycling.cyclist_name (id,firstname) TO '../cyclist_firstname.csv' WITH HEADER = TRUE;The CSV file is created:
Using 7 child processes Starting copy of cycling.cyclist_name with columns [id, firstname]. Processed: 6 rows; Rate: 30 rows/s; Avg. rate: 30 rows/s 6 rows exported to 1 files in 0.213 seconds. -
Remove all records from the cyclist name table:
TRUNCATE cycling.cyclist_name; -
Verify that there are no rows:
SELECT * FROM cycling.cyclist_name;Query results are empty:
id | firstname | lastname ----+-----------+---------- (0 rows) -
Import the cyclist first names:
COPY cycling.cyclist_name (id,firstname) FROM '../cyclist_firstname.csv' WITH HEADER = TRUE;The rows are imported:
Using 7 child processes Starting copy of cycling.cyclist_name with columns [id, firstname]. Processed: 6 rows; Rate: 10 rows/s; Avg. rate: 14 rows/s 6 rows imported from 1 files in 0.423 seconds (0 skipped). -
Verify the new rows:
SELECT * FROM cycling.cyclist_name;The rows were created with null last names because the
lastnamefield was not in the imported data set:id | firstname | lastname --------------------------------------+-----------+---------- e7ae5cf3-d358-4d99-b900-85902fda9bb0 | Alex | null fb372533-eb95-4bb4-8685-6ef61e994caa | Michael | null 5b6962dd-3f90-4c93-8f61-eabfa4a803e2 | Marianne | null 220844bf-4860-49d6-9a4b-6b5d3a79cbfb | Paolo | null 6ab09bec-e68e-48d9-a5f8-97e6fb4c9b47 | Steven | null e7cd5752-bc0d-4157-a80f-7523add8dbcd | Anna | null (6 rows) -
Import the last names:
COPY cycling.cyclist_name (id,lastname) FROM '../cyclist_lastname.csv' WITH HEADER = TRUE;The records are imported but no new records are created:
Using 7 child processes Starting copy of cycling.cyclist_name with columns [id, lastname]. Processed: 6 rows; Rate: 10 rows/s; Avg. rate: 14 rows/s 6 rows imported from 1 files in 0.422 seconds (0 skipped). -
Verify the that the records were updated:
SELECT * FROM cycling.cyclist_name;The PRIMARY KEY
idmatched for all records and thelastnameis populated.:id | firstname | lastname --------------------------------------+-----------+----------------- e7ae5cf3-d358-4d99-b900-85902fda9bb0 | Alex | FRAME fb372533-eb95-4bb4-8685-6ef61e994caa | Michael | MATTHEWS 5b6962dd-3f90-4c93-8f61-eabfa4a803e2 | Marianne | VOS 220844bf-4860-49d6-9a4b-6b5d3a79cbfb | Paolo | TIRALONGO 6ab09bec-e68e-48d9-a5f8-97e6fb4c9b47 | Steven | KRUIKSWIJK e7cd5752-bc0d-4157-a80f-7523add8dbcd | Anna | VAN DER BREGGEN
Copy data from standard input to a table
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Clear the data from the
cyclist_nametable:TRUNCATE cycling.cyclist_name; -
Start the copy input operation using the
FROM STDINoption:COPY cycling.cyclist_name FROM STDIN;The line prompt changes to
[copy]:Using 7 child processes Starting copy of cycling.cyclist_name with columns [id, firstname, lastname]. [Use . on a line by itself to end input] [copy] -
Next to the
[copy]prompt, enter the field values in a common-separated list; on the last line of data, enter a period:[copy] e7cd5752-bc0d-4157-a80f-7523add8dbcd,Anna,VAN DER BREGGEN [copy] . -
Press Enter after the period:
Processed: 1 rows; Rate: 0 rows/s; Avg. rate: 0 rows/s 1 rows imported from 1 files in 36.991 seconds (0 skipped). -
Run this query to view the contents of the
cyclist_nametable:SELECT * FROM cycling.cyclist_name;id | firstname | lastname --------------------------------------+-----------+----------------- e7cd5752-bc0d-4157-a80f-7523add8dbcd | Anna | VAN DER BREGGEN (1 rows)
Copy to and from a table with a vector data type
To copy data from a table with a vector data type to a CSV file, use the following command:
COPY cycling.comments_vs (record_id,id,commenter,comment,created_at,comment_vector)
TO '../CSV/comments-vs-new.csv' WITH HEADER=TRUE;
To copy data from a CSV file to a table with a vector data type, use the following command:
COPY cycling.comments_vs (record_id,id,commenter,comment,created_at,comment_vector)
FROM '../CSV/comments-vs.csv' WITH HEADER=TRUE AND DELIMITER='|';