CREATE
CREATE
is used to create new databases or tables.
CREATE DATABASE
Syntax
Creates a new database:
CREATE DATABASE [IF NOT EXISTS] db_name [WITH <options>]
If the db_name
database already exists, then GreptimeDB has the following behaviors:
- Doesn't create a new database.
- Doesn't return an error when the clause
IF NOT EXISTS
is presented. - Otherwise, returns an error.
The database can also carry options similar to the CREATE TABLE
statement by using the WITH
keyword. All options available in Table Options can be utilized here as well (one exception is that database's TTL can't be instant
). When creating a table, if the corresponding table options are not provided, the options configured at the database level will be applied.
Examples
Creates a test
database:
CREATE DATABASE test;
Query OK, 1 row affected (0.05 sec)
Creates it again with IF NOT EXISTS
:
CREATE DATABASE IF NOT EXISTS test;
Create a database with a TTL
(Time-To-Live) of seven days, which means all the tables in this database will inherit this option if they don't have their own TTL
setting:
CREATE DATABASE test with(ttl='7d');
CREATE TABLE
Syntax
Creates a new table in the db
database or the current database in use:
CREATE TABLE [IF NOT EXISTS] [db.]table_name
(
column1 type1 [NULL | NOT NULL] [DEFAULT expr1] [TIME INDEX] [PRIMARY KEY] [FULLTEXT | FULLTEXT WITH options] [COMMENT comment1],
column2 type2 [NULL | NOT NULL] [DEFAULT expr2] [TIME INDEX] [PRIMARY KEY] [FULLTEXT | FULLTEXT WITH options] [COMMENT comment2],
...
[TIME INDEX (column)],
[PRIMARY KEY(column1, column2, ...)],
[INVERTED INDEX(column1, column2, ...)]
) ENGINE = engine WITH([TTL | storage | ...] = expr, ...)
[
PARTITION ON COLUMNS(column1, column2, ...) (
<PARTITION EXPR>,
...
)
]
The table schema is specified by the brackets before the ENGINE
. The table schema is a list of column definitions and table constraints.
A column definition includes the column column_name
, type
, and options such as nullable or default values, etc. Please see below.
Table constraints
The table constraints contain the following:
TIME INDEX
specifies the time index column, which always has one and only one column. It indicates theTimestamp
type in the data model of GreptimeDB.PRIMARY KEY
specifies the table's primary key column, which indicates theTag
type in the data model of GreptimeDB. It cannot include the time index column, but it always implicitly adds the time index column to the end of keys.- The Other columns are
Field
columns in the data model of GreptimeDB.
The PRIMARY KEY
specified in the CREATE
statement is not the primary key in traditional relational databases.
Actually, The PRIMARY KEY
in traditional relational databases is equivalent to the combination of PRIMARY KEY
and TIME INDEX
in GreptimeDB. In other words, the PRIMARY KEY
and TIME INDEX
together constitute the unique identifier of a row in GreptimeDB.
The statement won't do anything if the table already exists and IF NOT EXISTS
is presented; otherwise returns an error.
Inverted Index
INVERTED INDEX
specifies the table's Inverted Index column. The inverted index column can be any column. For each specified column, GreptimeDB creates an inverted index to accelerate queries.
- If
INVERTED INDEX
is not specified, inverted indexes will be created for the columns in thePRIMARY KEY
. - If
INVERTED INDEX
is specified, inverted indexes will only be created for the columns listed in theINVERTED INDEX
. Specifically, whenINVERTED INDEX()
is specified, it means that no inverted index will be created for any column.
Table options
Users can add table options by using WITH
. The valid options contain the following:
Option | Description | Value |
---|---|---|
ttl | The storage time of the table data | A time duration string such as '60m' , '1h' for one hour, '14d' for 14 days etc. Supported time units are: s / m / h / d . |
storage | The name of the table storage engine provider | String value, such as S3 , Gcs , etc. It must be configured in [[storage.providers]] , see configuration. |
compaction.type | Compaction strategy of the table | String value. Only twcs is allowed. |
compaction.twcs.max_active_window_files | Max num of files that can be kept in active writing time window | String value, such as '8'. Only available when compaction.type is twcs . You can refer to this document to learn more about the twcs compaction strategy. |
compaction.twcs.max_inactive_window_files | Max num of files that can be kept in inactive time window. | String value, such as '1'. Only available when compaction.type is twcs . |
compaction.twcs.time_window | Compaction time window | String value, such as '1d' for 1 day. The table usually partitions rows into different time windows by their timestamps. Only available when compaction.type is twcs . |
memtable.type | Type of the memtable. | String value, supports time_series , partition_tree . |
append_mode | Whether the table is append-only | String value. Default is 'false', which removes duplicate rows by primary keys and timestamps according to the merge_mode . Setting it to 'true' to enable append mode and create an append-only table which keeps duplicate rows. |
merge_mode | The strategy to merge duplicate rows | String value. Only available when append_mode is 'false'. Default is last_row , which keeps the last row for the same primary key and timestamp. Setting it to last_non_null to keep the last non-null field for the same primary key and timestamp. |
comment | Table level comment | String value. |
Create a table with TTL
For example, to create a table with the storage data TTL(Time-To-Live) is seven days:
CREATE TABLE IF NOT EXISTS temperatures(
ts TIMESTAMP TIME INDEX,
temperature DOUBLE DEFAULT 10,
) with(ttl='7d');
The ttl
value can be one of the following:
- A duration like
1hour 12min 5s
, The duration object is a concatenation of time spans. Where each time span is an integer number and a suffix. Supported suffixes:nsec
,ns
– nanosecondsusec
,us
– microsecondsmsec
,ms
– millisecondsseconds
,second
,sec
,s
minutes
,minute
,min
,m
hours
,hour
,hr
,h
days
,day
,d
weeks
,week
,w
months
,month
,M
– defined as 30.44 daysyears
,year
,y
– defined as 365.25 days
forever
,NULL
, an empty string''
and0s
(or any zero length duration, like0d
), means the data will never be deleted.instant
, note that database's TTL can't be set toinstant
.instant
means the data will be deleted instantly when inserted, useful if you want to send input to a flow task without saving it, see more details in flow management documents.- Unset,
ttl
can be unset by usingALTER TABLE <table-name> UNSET 'ttl'
, which means the table will inherit the database's ttl policy (if any).
If a table has its own TTL policy, it will take precedence over the database TTL policy. Otherwise, the database TTL policy will be applied to the table.
So if table's TTL is set to forever
, no matter what the database's TTL is, the data will never be deleted. But if you unset table TTL using:
ALTER TABLE <table-name> UNSET 'ttl';
Then the database's TTL will be applied to the table.
Note that the default TTL setting for table and database is unset, which also means the data will never be deleted.
Create a table with custom storage
Create a table that stores the data in Google Cloud Storage:
CREATE TABLE IF NOT EXISTS temperatures(
ts TIMESTAMP TIME INDEX,
temperature DOUBLE DEFAULT 10,
) with(ttl='7d', storage="Gcs");
Create a table with custom compaction options
Create a table with custom compaction options. The table will attempt to partition data into 1-day time window based on the timestamps of the data.
- It merges files within the latest time window if they exceed 8 files
- It merges files within inactive windows into a single file
CREATE TABLE IF NOT EXISTS temperatures(
ts TIMESTAMP TIME INDEX,
temperature DOUBLE DEFAULT 10,
)
with(
'compaction.type'='twcs',
'compaction.twcs.time_window'='1d',
'compaction.twcs.max_active_window_files'='8',
'compaction.twcs.max_inactive_window_files'='1',
);
Create an append-only table
Create an append-only table which disables deduplication.
CREATE TABLE IF NOT EXISTS temperatures(
ts TIMESTAMP TIME INDEX,
temperature DOUBLE DEFAULT 10,
) with('append_mode'='true');
Create a table with merge mode
Create a table with last_row
merge mode, which is the default merge mode.
create table if not exists metrics(
host string,
ts timestamp,
cpu double,
memory double,
TIME INDEX (ts),
PRIMARY KEY(host)
)
with('merge_mode'='last_row');
Under last_row
mode, the table merges rows with the same primary key and timestamp by only keeping the latest row.
INSERT INTO metrics VALUES ('host1', 0, 0, NULL), ('host2', 1, NULL, 1);
INSERT INTO metrics VALUES ('host1', 0, NULL, 10), ('host2', 1, 11, NULL);
SELECT * from metrics ORDER BY host, ts;
+-------+-------------------------+------+--------+
| host | ts | cpu | memory |
+-------+-------------------------+------+--------+
| host1 | 1970-01-01T00:00:00 | | 10.0 |
| host2 | 1970-01-01T00:00:00.001 | 11.0 | |
+-------+-------------------------+------+--------+
Create a table with last_non_null
merge mode.
create table if not exists metrics(
host string,
ts timestamp,
cpu double,
memory double,
TIME INDEX (ts),
PRIMARY KEY(host)
)
with('merge_mode'='last_non_null');
Under last_non_null
mode, the table merges rows with the same primary key and timestamp by keeping the latest value of each field.
INSERT INTO metrics VALUES ('host1', 0, 0, NULL), ('host2', 1, NULL, 1);
INSERT INTO metrics VALUES ('host1', 0, NULL, 10), ('host2', 1, 11, NULL);
SELECT * from metrics ORDER BY host, ts;
+-------+-------------------------+------+--------+
| host | ts | cpu | memory |
+-------+-------------------------+------+--------+
| host1 | 1970-01-01T00:00:00 | 0.0 | 10.0 |
| host2 | 1970-01-01T00:00:00.001 | 11.0 | 1.0 |
+-------+-------------------------+------+--------+
Column options
GreptimeDB supports the following column options:
Option | Description |
---|---|
NULL | The column value can be null . |
NOT NULL | The column value can't be null . |
DEFAULT expr | The column's default value is expr , which its result type must be the column's type |
COMMENT comment | The column comment. It must be a string value |
FULLTEXT | Creates a full-text index to speed up full-text search operations. Applicable only to string-type columns. |
The table constraints TIME INDEX
and PRIMARY KEY
can also be set by column option, but they can only be specified once in column definitions. So you can't specify PRIMARY KEY
for more than one column except by the table constraint PRIMARY KEY
:
CREATE TABLE system_metrics (
host STRING PRIMARY KEY,
idc STRING PRIMARY KEY,
cpu_util DOUBLE,
memory_util DOUBLE,
disk_util DOUBLE,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP(),
TIME INDEX(ts)
);
Goes wrong:
Illegal primary keys definition: not allowed to inline multiple primary keys in columns options
CREATE TABLE system_metrics (
host STRING,
idc STRING,
cpu_util DOUBLE,
memory_util DOUBLE,
disk_util DOUBLE,
ts TIMESTAMP DEFAULT CURRENT_TIMESTAMP() TIME INDEX,
PRIMARY KEY(host, idc),
);
Query OK, 0 rows affected (0.01 sec)
FULLTEXT
Column Option
The FULLTEXT
option is used to create a full-text index, accelerating full-text search operations. This option can only be applied to string-type columns.
You can specify the following options using FULLTEXT WITH
:
analyzer
: Sets the language analyzer for the full-text index. Supported values areEnglish
andChinese
.case_sensitive
: Determines whether the full-text index is case-sensitive. Supported values aretrue
andfalse
.
If WITH
is not specified, FULLTEXT
will use the following default values:
analyzer
: default isEnglish
case_sensitive
: default isfalse
For example, to create a table with a full-text index on the log
column, configuring the analyzer to Chinese
and setting case_sensitive
to false
:
CREATE TABLE IF NOT EXISTS logs(
host STRING PRIMARY KEY,
log STRING FULLTEXT WITH(analyzer = 'Chinese', case_sensitive = 'false'),
ts TIMESTAMP TIME INDEX
);
For more information on using full-text indexing and search, refer to the Log Query Documentation.
Region partition rules
Please refer to Partition for more details.
CREATE EXTERNAL TABLE
Syntax
Creates a new file external table in the db
database or the current database in use:
CREATE EXTERNAL TABLE [IF NOT EXISTS] [db.]table_name
[
(
column1 type1 [NULL | NOT NULL] [DEFAULT expr1] [TIME INDEX] [PRIMARY KEY] [COMMENT comment1],
column2 type2 [NULL | NOT NULL] [DEFAULT expr2] [TIME INDEX] [PRIMARY KEY] [COMMENT comment2],
...
[TIME INDEX (column)],
[PRIMARY KEY(column1, column2, ...)]
)
] WITH (
LOCATION = url,
FORMAT = { 'CSV' | 'JSON' | 'PARQUET' | 'ORC' }
[,PATTERN = regex_pattern ]
[,REGION = region ]
[,ENDPOINT = uri ]
[,ACCESS_KEY_ID = key_id ]
[,SECRET_ACCESS_KEY = access_key ]
[,ENABLE_VIRTUAL_HOST_STYLE = { TRUE | FALSE }]
[,SESSION_TOKEN = token ]
...
)
Table options
Option | Description | Required |
---|---|---|
LOCATION | External files locations, e.g., s3://<bucket>[<path>] , /<path>/[<filename>] | Required |
FORMAT | Target file(s) format, e.g., JSON, CSV, Parquet, ORC | Required |
PATTERN | Use regex to match files. e.g., *_today.parquet | Optional |
S3
Option | Description | Required |
---|---|---|
REGION | AWS region name. e.g., us-east-1. | Required |
ENDPOINT | The bucket endpoint | Optional |
ACCESS_KEY_ID | ACCESS_KEY_ID Your access key ID for connecting the AWS S3 compatible object storage. | Optional |
SECRET_ACCESS_KEY | Your secret access key for connecting the AWS S3 compatible object storage. | Optional |
ENABLE_VIRTUAL_HOST_STYLE | If you use virtual hosting to address the bucket, set it to "true". | Optional |
SESSION_TOKEN | Your temporary credential for connecting the AWS S3 service. | Optional |
Time Index Column
When creating an external table using the CREATE EXTERNAL TABLE
statement, you are required to use the TIME INDEX
constraint to specify a Time Index column.
Examples
You can create an external table without columns definitions, the column definitions will be automatically inferred:
CREATE EXTERNAL TABLE IF NOT EXISTS city WITH (location='/var/data/city.csv',format='csv');
In this example, we did not explicitly define the columns of the table. To satisfy the requirement that the external table must specify a Time Index column, the CREATE EXTERNAL TABLE
statement will infer the Time Index column according to the following rules:
- If the Time Index column can be inferred from the file metadata, then that column will be used as the Time Index column.
- If there is a column named
greptime_timestamp
(the type of this column must beTIMESTAMP
, otherwise, an error will be thrown), then this column will be used as the Time Index column. - Otherwise, a column named
greptime_timestamp
will be automatically created as the Time Index column, and aDEFAULT '1970-01-01 00:00:00+0000'
constraint will be added.
Or
CREATE EXTERNAL TABLE city (
host string,
ts timestamp,
cpu float64 default 0,
memory float64,
TIME INDEX (ts),
PRIMARY KEY(host)
) WITH (location='/var/data/city.csv', format='csv');
In this example, we explicitly defined the ts
column as the Time Index column. If there is no suitable Time Index column in the file, you can also create a placeholder column and add a DEFAULT expr
constraint.
CREATE FLOW
CREATE [OR REPLACE] FLOW [ IF NOT EXISTS ] <flow-name>
SINK TO <sink-table-name>
[ EXPIRE AFTER <expr> ]
[ COMMENT '<string>' ]
AS
<SQL>;
For the statement to create or update a flow, please read the flow management documents.
CREATE VIEW
CREATE [OR REPLACE] VIEW [ IF NOT EXISTS ] <view-name>
AS select_statement
For the statement to create or update a view, please read the view user guide.