S3Redshift
The way of S3Redshift is to write data into S3, and then use Redshift's COPY command to import data from S3 to Redshift.
Description
Output data to AWS Redshift.
Tips: We based on the S3File to implement this connector. So you can use the same configuration as S3File. We made some trade-offs in order to support more file types, so we used the HDFS protocol for internal access to S3 and this connector need some hadoop dependencies. It's only support hadoop version 2.6.5+.
Key features
By default, we use 2PC commit to ensure exactly-once
- file format type
- text
- csv
- parquet
- orc
- json
Options
| name | type | required | default value |
|---|---|---|---|
| jdbc_url | string | yes | - |
| jdbc_user | string | yes | - |
| jdbc_password | string | yes | - |
| execute_sql | string | yes | - |
| path | string | yes | - |
| bucket | string | yes | - |
| access_key | string | no | - |
| access_secret | string | no | - |
| hadoop_s3_properties | map | no | - |
| file_name_expression | string | no | "${transactionId}" |
| file_format_type | string | no | "text" |
| filename_time_format | string | no | "yyyy.MM.dd" |
| field_delimiter | string | no | '\001' |
| row_delimiter | string | no | "\n" |
| partition_by | array | no | - |
| partition_dir_expression | string | no | "${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/" |
| is_partition_field_write_in_file | boolean | no | false |
| sink_columns | array | no | When this parameter is empty, all fields are sink columns |
| is_enable_transaction | boolean | no | true |
| batch_size | int | no | 1000000 |
| common-options | no | - |
jdbc_url
The JDBC URL to connect to the Redshift database.
jdbc_user
The JDBC user to connect to the Redshift database.
jdbc_password
The JDBC password to connect to the Redshift database.
execute_sql
The SQL to execute after the data is written to S3.
eg:
COPY target_table FROM 's3://yourbucket${path}' IAM_ROLE 'arn:XXX' REGION 'your region' format as json 'auto';
target_table is the table name in Redshift.
${path} is the path of the file written to S3. please confirm your sql include this variable. and don't need replace it. we will replace it when execute sql.
IAM_ROLE is the role that has permission to access S3.
format is the format of the file written to S3. please confirm this format is same as the file format you set in the configuration.
please refer to Redshift COPY for more details.
please confirm that the role has permission to access S3.
path [string]
The target dir path is required.
bucket [string]
The bucket address of s3 file system, for example: s3n://seatunnel-test, if you use s3a protocol, this parameter should be s3a://seatunnel-test.
access_key [string]
The access key of s3 file system. If this parameter is not set, please confirm that the credential provider chain can be authenticated correctly, you could check this hadoop-aws
access_secret [string]
The access secret of s3 file system. If this parameter is not set, please confirm that the credential provider chain can be authenticated correctly, you could check this hadoop-aws
hadoop_s3_properties [map]
If you need to add a other option, you could add it here and refer to this Hadoop-AWS
hadoop_s3_properties {
"fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
}
file_name_expression [string]
file_name_expression describes the file expression which will be created into the path. We can add the variable ${now} or ${uuid} in the file_name_expression, like test_${uuid}_${now},
${now} represents the current time, and its format can be defined by specifying the option filename_time_format.
Please note that, If is_enable_transaction is true, we will auto add ${transactionId}_ in the head of the file.
file_format_type [string]
We supported as the following file types:
text csv parquet orc json
Please note that, The final file name will end with the file_format's suffix, the suffix of the text file is txt.
filename_time_format [string]
When the format in the file_name_expression parameter is xxxx-${now} , filename_time_format can specify the time format of the path, and the default value is yyyy.MM.dd . The commonly used time formats are listed as follows:
| Symbol | Description |
|---|---|
| y | Year |
| M | Month |
| d | Day of month |
| H | Hour in day (0-23) |
| m | Minute in hour |
| s | Second in minute |
See Java SimpleDateFormat for detailed time format syntax.
field_delimiter [string]
The separator between columns in a row of data. Only needed by text and csv file format.
row_delimiter [string]
The separator between rows in a file. Only needed by text and csv file format.
partition_by [array]
Partition data based on selected fields
partition_dir_expression [string]
If the partition_by is specified, we will generate the corresponding partition directory based on the partition information, and the final file will be placed in the partition directory.
Default partition_dir_expression is ${k0}=${v0}/${k1}=${v1}/.../${kn}=${vn}/. k0 is the first partition field and v0 is the value of the first partition field.
is_partition_field_write_in_file [boolean]
If is_partition_field_write_in_file is true, the partition field and the value of it will be written into data file.
For example, if you want to write a Hive Data File, Its value should be false.
sink_columns [array]
Which columns need be written to file, default value is all the columns get from Transform or Source.
The order of the fields determines the order in which the file is actually written.
is_enable_transaction [boolean]
If is_enable_transaction is true, we will ensure that data will not be lost or duplicated when it is written to the target directory.
Please note that, If is_enable_transaction is true, we will auto add ${transactionId}_ in the head of the file.
Only support true now.
batch_size [int]
The maximum number of rows in a file. For SeaTunnel Engine, the number of lines in the file is determined by batch_size and checkpoint.interval jointly decide. If the value of checkpoint.interval is large enough, sink writer will write rows in a file until the rows in the file larger than batch_size. If checkpoint.interval is small, the sink writer will create a new file when a new checkpoint trigger.
common options
Sink plugin common parameters, please refer to Sink Common Options for details.
Example
For text file format
S3Redshift {
jdbc_url = "jdbc:redshift://xxx.amazonaws.com.cn:5439/xxx"
jdbc_user = "xxx"
jdbc_password = "xxxx"
execute_sql="COPY table_name FROM 's3://test${path}' IAM_ROLE 'arn:aws-cn:iam::xxx' REGION 'cn-north-1' removequotes emptyasnull blanksasnull maxerror 100 delimiter '|' ;"
access_key = "xxxxxxxxxxxxxxxxx"
secret_key = "xxxxxxxxxxxxxxxxx"
bucket = "s3a://seatunnel-test"
tmp_path = "/tmp/seatunnel"
path="/seatunnel/text"
row_delimiter="\n"
partition_dir_expression="${k0}=${v0}"
is_partition_field_write_in_file=true
file_name_expression="${transactionId}_${now}"
file_format_type = "text"
filename_time_format="yyyy.MM.dd"
is_enable_transaction=true
hadoop_s3_properties {
"fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
}
}
For parquet file format
S3Redshift {
jdbc_url = "jdbc:redshift://xxx.amazonaws.com.cn:5439/xxx"
jdbc_user = "xxx"
jdbc_password = "xxxx"
execute_sql="COPY table_name FROM 's3://test${path}' IAM_ROLE 'arn:aws-cn:iam::xxx' REGION 'cn-north-1' format as PARQUET;"
access_key = "xxxxxxxxxxxxxxxxx"
secret_key = "xxxxxxxxxxxxxxxxx"
bucket = "s3a://seatunnel-test"
tmp_path = "/tmp/seatunnel"
path="/seatunnel/parquet"
row_delimiter="\n"
partition_dir_expression="${k0}=${v0}"
is_partition_field_write_in_file=true
file_name_expression="${transactionId}_${now}"
file_format_type = "parquet"
filename_time_format="yyyy.MM.dd"
is_enable_transaction=true
hadoop_s3_properties {
"fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
}
}
For orc file format
S3Redshift {
jdbc_url = "jdbc:redshift://xxx.amazonaws.com.cn:5439/xxx"
jdbc_user = "xxx"
jdbc_password = "xxxx"
execute_sql="COPY table_name FROM 's3://test${path}' IAM_ROLE 'arn:aws-cn:iam::xxx' REGION 'cn-north-1' format as ORC;"
access_key = "xxxxxxxxxxxxxxxxx"
secret_key = "xxxxxxxxxxxxxxxxx"
bucket = "s3a://seatunnel-test"
tmp_path = "/tmp/seatunnel"
path="/seatunnel/orc"
row_delimiter="\n"
partition_dir_expression="${k0}=${v0}"
is_partition_field_write_in_file=true
file_name_expression="${transactionId}_${now}"
file_format_type = "orc"
filename_time_format="yyyy.MM.dd"
is_enable_transaction=true
hadoop_s3_properties {
"fs.s3a.aws.credentials.provider" = "org.apache.hadoop.fs.s3a.SimpleAWSCredentialsProvider"
}
}