This Kafka Connect connector provides the capability to watch a directory for files and read the data as new files are written to the input directory. Each of the records in the input file will be converted based on the user supplied schema. The connectors in this project handle all different kinds of use cases like ingesting json, csv, tsv, avro, or binary files.
The following command can be used to install the plugin directly from the Confluent Hub using the Confluent Hub Client.
confluent-hub install jcustenborder/kafka-connect-spooldir:latestThe zip file that is deployed to the Confluent Hub is available under
target/components/packages/. You can manually extract this zip file which includes all dependencies. All the dependencies
that are required to deploy the plugin are under target/kafka-connect-target as well. Make sure that you include all the dependencies that are required
to run the plugin.
- Create a directory under the
plugin.pathon your Connect worker. - Copy all of the dependencies under the newly created subdirectory.
- Restart the Connect worker.
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirSchemaLessJsonSourceConnector
This connector is used to stream <https://en.wikipedia.org/wiki/JSON_Streaming>_ JSON files from a directory while converting the data based on the schema supplied in the configuration. This connector will read each file node by node writing the result to Kafka. For example if your data file contains several json objects the connector will read from { to } for each object and write each object to Kafka.
This connector does not try to convert the json records to a schema. The recommended converter to use is the StringConverter. Example: value.converter=org.apache.kafka.connect.storage.StringConverter
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Character set to read wth file with.
Importance: LOW
Type: STRING
Default Value: UTF-8
Validator: Big5,Big5-HKSCS,CESU-8,EUC-JP,EUC-KR,GB18030,GB2312,GBK,IBM-Thai,IBM00858,IBM01140,IBM01141,IBM01142,IBM01143,IBM01144,IBM01145,IBM01146,IBM01147,IBM01148,IBM01149,IBM037,IBM1026,IBM1047,IBM273,IBM277,IBM278,IBM280,IBM284,IBM285,IBM290,IBM297,IBM420,IBM424,IBM437,IBM500,IBM775,IBM850,IBM852,IBM855,IBM857,IBM860,IBM861,IBM862,IBM863,IBM864,IBM865,IBM866,IBM868,IBM869,IBM870,IBM871,IBM918,ISO-2022-CN,ISO-2022-JP,ISO-2022-JP-2,ISO-2022-KR,ISO-8859-1,ISO-8859-13,ISO-8859-15,ISO-8859-16,ISO-8859-2,ISO-8859-3,ISO-8859-4,ISO-8859-5,ISO-8859-6,ISO-8859-7,ISO-8859-8,ISO-8859-9,JIS_X0201,JIS_X0212-1990,KOI8-R,KOI8-U,Shift_JIS,TIS-620,US-ASCII,UTF-16,UTF-16BE,UTF-16LE,UTF-32,UTF-32BE,UTF-32LE,UTF-8,windows-1250,windows-1251,windows-1252,windows-1253,windows-1254,windows-1255,windows-1256,windows-1257,windows-1258,windows-31j,x-Big5-HKSCS-2001,x-Big5-Solaris,x-euc-jp-linux,x-EUC-TW,x-eucJP-Open,x-IBM1006,x-IBM1025,x-IBM1046,x-IBM1097,x-IBM1098,x-IBM1112,x-IBM1122,x-IBM1123,x-IBM1124,x-IBM1129,x-IBM1166,x-IBM1364,x-IBM1381,x-IBM1383,x-IBM29626C,x-IBM300,x-IBM33722,x-IBM737,x-IBM833,x-IBM834,x-IBM856,x-IBM874,x-IBM875,x-IBM921,x-IBM922,x-IBM930,x-IBM933,x-IBM935,x-IBM937,x-IBM939,x-IBM942,x-IBM942C,x-IBM943,x-IBM943C,x-IBM948,x-IBM949,x-IBM949C,x-IBM950,x-IBM964,x-IBM970,x-ISCII91,x-ISO-2022-CN-CNS,x-ISO-2022-CN-GB,x-iso-8859-11,x-JIS0208,x-JISAutoDetect,x-Johab,x-MacArabic,x-MacCentralEurope,x-MacCroatian,x-MacCyrillic,x-MacDingbat,x-MacGreek,x-MacHebrew,x-MacIceland,x-MacRoman,x-MacRomania,x-MacSymbol,x-MacThai,x-MacTurkish,x-MacUkraine,x-MS932_0213,x-MS950-HKSCS,x-MS950-HKSCS-XP,x-mswin-936,x-PCK,x-SJIS_0213,x-UTF-16LE-BOM,X-UTF-32BE-BOM,X-UTF-32LE-BOM,x-windows-50220,x-windows-50221,x-windows-874,x-windows-949,x-windows-950,x-windows-iso2022jp
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirJsonSourceConnector
This connector is used to stream <https://en.wikipedia.org/wiki/JSON_Streaming> JSON files from a directory while converting the data based on the schema supplied in the configuration.
There are some caveats to running this connector with schema.generation.enabled = true. If schema generation is enabled the connector will start by reading one of the files that match input.file.pattern in the path specified by input.path. If there are no files when the connector starts or is restarted the connector will fail to start. If there are different fields in other files they will not be detected. The recommended path is to specify a schema that the files will be parsed with. This will ensure that data written by this connector to Kafka will be consistent across files that have inconsistent columns. For example if some files have an optional column that is not always included, create a schema that includes the column marked as optional.
If you want to import JSON node by node in the file and do not care about schemas, do not use this connector with Schema Generation enabled. Take a look at the Schema Less Json Source Connector.
To get a starting point for a schema you can use the following command to generate an all String schema. This will give you the basic structure of a schema. From there you can changes the types to match what you expect. .. code-block:: bash
mvn clean package export CLASSPATH="$(find target/kafka-connect-target/usr/share/kafka-connect/kafka-connect-spooldir -type f -name '*.jar' | tr '\n' ':')" kafka-run-class com.github.jcustenborder.kafka.connect.spooldir.AbstractSchemaGenerator -t json -f src/test/resources/com/github/jcustenborder/kafka/connect/spooldir/json/FieldsMatch.data -c config/JsonExample.properties -i id
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
The schema for the key written to Kafka.
Importance: HIGH
Type: STRING
The schema for the value written to Kafka.
Importance: HIGH
Type: STRING
Flag to determine if schemas should be dynamically generated. If set to true, key.schema and value.schema can be omitted, but schema.generation.key.name and schema.generation.value.name must be set.
Importance: MEDIUM
Type: BOOLEAN
The field(s) to use to build a key schema. This is only used during schema generation.
Importance: MEDIUM
Type: LIST
The name of the generated key schema.
Importance: MEDIUM
Type: STRING
Default Value: com.github.jcustenborder.kafka.connect.model.Key
The name of the generated value schema.
Importance: MEDIUM
Type: STRING
Default Value: com.github.jcustenborder.kafka.connect.model.Value
The field in the value schema that will contain the parsed timestamp for the record. This field cannot be marked as optional and must be a Timestamp
Importance: MEDIUM
Type: STRING
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
The date formats that are expected in the file. This is a list of strings that will be used to parse the date fields in order. The most accurate date format should be the first in the list. Take a look at the Java documentation for more info. https://docs.oracle.com/javase/6/docs/api/java/text/SimpleDateFormat.html
Importance: LOW
Type: LIST
Default Value: [yyyy-MM-dd'T'HH:mm:ss, yyyy-MM-dd' 'HH:mm:ss]
The timezone that all of the dates will be parsed with.
Importance: LOW
Type: STRING
Default Value: UTC
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirBinaryFileSourceConnector
This connector is used to read an entire file as a byte array write the data to Kafka.
Large files will be read as a single byte array. This means that the process could run out of memory or try to send a message to Kafka that is greater than the max message size. If this happens an exception will be thrown.
The recommended converter to use is the ByteArrayConverter. Example: value.converter=org.apache.kafka.connect.storage.ByteArrayConverter
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirLineDelimitedSourceConnector
This connector is used to read a file line by line and write the data to Kafka.
The recommended converter to use is the StringConverter. Example: value.converter=org.apache.kafka.connect.storage.StringConverter
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Character set to read wth file with.
Importance: LOW
Type: STRING
Default Value: UTF-8
Validator: Big5,Big5-HKSCS,CESU-8,EUC-JP,EUC-KR,GB18030,GB2312,GBK,IBM-Thai,IBM00858,IBM01140,IBM01141,IBM01142,IBM01143,IBM01144,IBM01145,IBM01146,IBM01147,IBM01148,IBM01149,IBM037,IBM1026,IBM1047,IBM273,IBM277,IBM278,IBM280,IBM284,IBM285,IBM290,IBM297,IBM420,IBM424,IBM437,IBM500,IBM775,IBM850,IBM852,IBM855,IBM857,IBM860,IBM861,IBM862,IBM863,IBM864,IBM865,IBM866,IBM868,IBM869,IBM870,IBM871,IBM918,ISO-2022-CN,ISO-2022-JP,ISO-2022-JP-2,ISO-2022-KR,ISO-8859-1,ISO-8859-13,ISO-8859-15,ISO-8859-16,ISO-8859-2,ISO-8859-3,ISO-8859-4,ISO-8859-5,ISO-8859-6,ISO-8859-7,ISO-8859-8,ISO-8859-9,JIS_X0201,JIS_X0212-1990,KOI8-R,KOI8-U,Shift_JIS,TIS-620,US-ASCII,UTF-16,UTF-16BE,UTF-16LE,UTF-32,UTF-32BE,UTF-32LE,UTF-8,windows-1250,windows-1251,windows-1252,windows-1253,windows-1254,windows-1255,windows-1256,windows-1257,windows-1258,windows-31j,x-Big5-HKSCS-2001,x-Big5-Solaris,x-euc-jp-linux,x-EUC-TW,x-eucJP-Open,x-IBM1006,x-IBM1025,x-IBM1046,x-IBM1097,x-IBM1098,x-IBM1112,x-IBM1122,x-IBM1123,x-IBM1124,x-IBM1129,x-IBM1166,x-IBM1364,x-IBM1381,x-IBM1383,x-IBM29626C,x-IBM300,x-IBM33722,x-IBM737,x-IBM833,x-IBM834,x-IBM856,x-IBM874,x-IBM875,x-IBM921,x-IBM922,x-IBM930,x-IBM933,x-IBM935,x-IBM937,x-IBM939,x-IBM942,x-IBM942C,x-IBM943,x-IBM943C,x-IBM948,x-IBM949,x-IBM949C,x-IBM950,x-IBM964,x-IBM970,x-ISCII91,x-ISO-2022-CN-CNS,x-ISO-2022-CN-GB,x-iso-8859-11,x-JIS0208,x-JISAutoDetect,x-Johab,x-MacArabic,x-MacCentralEurope,x-MacCroatian,x-MacCyrillic,x-MacDingbat,x-MacGreek,x-MacHebrew,x-MacIceland,x-MacRoman,x-MacRomania,x-MacSymbol,x-MacThai,x-MacTurkish,x-MacUkraine,x-MS932_0213,x-MS950-HKSCS,x-MS950-HKSCS-XP,x-mswin-936,x-PCK,x-SJIS_0213,x-UTF-16LE-BOM,X-UTF-32BE-BOM,X-UTF-32LE-BOM,x-windows-50220,x-windows-50221,x-windows-874,x-windows-949,x-windows-950,x-windows-iso2022jp
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirAvroSourceConnector
This connector is used to read avro data files from the file system and write their contents to kafka.
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
com.github.jcustenborder.kafka.connect.spooldir.elf.SpoolDirELFSourceConnector
This connector is used to stream Extended Log File Format <https://www.w3.org/TR/WD-logfile.html> files from a directory while converting the data to a strongly typed schema.
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
com.github.jcustenborder.kafka.connect.spooldir.SpoolDirCsvSourceConnector
The SpoolDirCsvSourceConnector will monitor the directory specified in input.path for files and read them as a CSV converting each of the records to the strongly typed equivalent specified in key.schema and value.schema.
There are some caveats to running this connector with schema.generation.enabled = true. If schema generation is enabled the connector will start by reading one of the files that match input.file.pattern in the path specified by input.path. If there are no files when the connector starts or is restarted the connector will fail to start. If there are different fields in other files they will not be detected. The recommended path is to specify a schema that the files will be parsed with. This will ensure that data written by this connector to Kafka will be consistent across files that have inconsistent columns. For example if some files have an optional column that is not always included, create a schema that includes the column marked as optional.
To get a starting point for a schema you can use the following command to generate an all String schema. This will give you the basic structure of a schema. From there you can changes the types to match what you expect.
.. code-block:: bash
mvn clean package export CLASSPATH="$(find target/kafka-connect-target/usr/share/kafka-connect/kafka-connect-spooldir -type f -name '*.jar' | tr '\n' ':')" kafka-run-class com.github.jcustenborder.kafka.connect.spooldir.AbstractSchemaGenerator -t csv -f src/test/resources/com/github/jcustenborder/kafka/connect/spooldir/csv/FieldsMatch.data -c config/CSVExample.properties -i id
The directory to place files in which have error(s). This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().
Importance: HIGH
Type: STRING
The directory to read files that will be processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Validator: Absolute path to a directory that exists and is writable.
The directory to place files that have been successfully processed. This directory must exist and be writable by the user running Kafka Connect.
Importance: HIGH
Type: STRING
Should the task halt when it encounters an error or continue to the next file.
Importance: HIGH
Type: BOOLEAN
Default Value: true
Determines how the connector should cleanup the files that have been successfully processed. NONE leaves the files in place which could cause them to be reprocessed if the connector is restarted. DELETE removes the file from the filesystem. MOVE will move the file to a finished directory. MOVEBYDATE will move the file to a finished directory with subdirectories by date
Importance: MEDIUM
Type: STRING
Default Value: MOVE
Validator: Matches: NONE, DELETE, MOVE, MOVEBYDATE
The task partitioner implementation is used when the connector is configured to use more than one task. This is used by each task to identify which files will be processed by that task. This ensures that each file is only assigned to one task.
Importance: MEDIUM
Type: STRING
Default Value: ByName
Validator: Matches: ByName
The size of buffer for the BufferedInputStream that will be used to interact with the file system.
Importance: LOW
Type: INT
Default Value: 131072
Validator: [1,...]
The amount of time in milliseconds after the file was last written to before the file can be processed.
Importance: LOW
Type: LONG
Default Value: 0
Validator: [0,...]
The attributes each file will use to determine the sort order. Name is name of the file. Length is the length of the file preferring larger files first. LastModified is the LastModified attribute of the file preferring older files first.
Importance: LOW
Type: LIST
Default Value: [NameAsc]
Validator: Matches: NameAsc, NameDesc, LengthAsc, LengthDesc, LastModifiedAsc, LastModifiedDesc
Before a file is processed, a flag is created in its directory to indicate the file is being handled. The flag file has the same name as the file, but with this property appended as a suffix.
Importance: LOW
Type: STRING
Default Value: .PROCESSING
Validator: Matches regex( ^.*..+$ )
The Kafka topic to write the data to.
Importance: HIGH
Type: STRING
The number of records that should be returned with each batch.
Importance: LOW
Type: INT
Default Value: 1000
Flag to determine if the field names in the header row should be treated as case sensitive.
Importance: LOW
Type: BOOLEAN
Flag to determine if the RFC 4180 parser should be used instead of the default parser.
Importance: LOW
Type: BOOLEAN
The amount of time to wait if a poll returns an empty list of records.
Importance: LOW
Type: LONG
Default Value: 500
Validator: [1,...,9223372036854775807]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 1
Validator: [1,...]
Internal setting to the connector used to instruct a task on which files to select. The connector will override this setting.
Importance: LOW
Type: INT
Default Value: 0
Validator: [0,...]
The schema for the key written to Kafka.
Importance: HIGH
Type: STRING
The schema for the value written to Kafka.
Importance: HIGH
Type: STRING
Flag to indicate if the fist row of data contains the header of the file. If true the position of the columns will be determined by the first row to the CSV. The column position will be inferred from the position of the schema supplied in value.schema. If set to true the number of columns must be greater than or equal to the number of fields in the schema.
Importance: MEDIUM
Type: BOOLEAN
The character as an integer to use when a special character is encountered. The default escape character is typically a (92)
Importance: LOW
Type: INT
Default Value: 92
Character set to read wth file with.
Importance: LOW
Type: STRING
Default Value: UTF-8
Validator: Big5,Big5-HKSCS,CESU-8,EUC-JP,EUC-KR,GB18030,GB2312,GBK,IBM-Thai,IBM00858,IBM01140,IBM01141,IBM01142,IBM01143,IBM01144,IBM01145,IBM01146,IBM01147,IBM01148,IBM01149,IBM037,IBM1026,IBM1047,IBM273,IBM277,IBM278,IBM280,IBM284,IBM285,IBM290,IBM297,IBM420,IBM424,IBM437,IBM500,IBM775,IBM850,IBM852,IBM855,IBM857,IBM860,IBM861,IBM862,IBM863,IBM864,IBM865,IBM866,IBM868,IBM869,IBM870,IBM871,IBM918,ISO-2022-CN,ISO-2022-JP,ISO-2022-JP-2,ISO-2022-KR,ISO-8859-1,ISO-8859-13,ISO-8859-15,ISO-8859-16,ISO-8859-2,ISO-8859-3,ISO-8859-4,ISO-8859-5,ISO-8859-6,ISO-8859-7,ISO-8859-8,ISO-8859-9,JIS_X0201,JIS_X0212-1990,KOI8-R,KOI8-U,Shift_JIS,TIS-620,US-ASCII,UTF-16,UTF-16BE,UTF-16LE,UTF-32,UTF-32BE,UTF-32LE,UTF-8,windows-1250,windows-1251,windows-1252,windows-1253,windows-1254,windows-1255,windows-1256,windows-1257,windows-1258,windows-31j,x-Big5-HKSCS-2001,x-Big5-Solaris,x-euc-jp-linux,x-EUC-TW,x-eucJP-Open,x-IBM1006,x-IBM1025,x-IBM1046,x-IBM1097,x-IBM1098,x-IBM1112,x-IBM1122,x-IBM1123,x-IBM1124,x-IBM1129,x-IBM1166,x-IBM1364,x-IBM1381,x-IBM1383,x-IBM29626C,x-IBM300,x-IBM33722,x-IBM737,x-IBM833,x-IBM834,x-IBM856,x-IBM874,x-IBM875,x-IBM921,x-IBM922,x-IBM930,x-IBM933,x-IBM935,x-IBM937,x-IBM939,x-IBM942,x-IBM942C,x-IBM943,x-IBM943C,x-IBM948,x-IBM949,x-IBM949C,x-IBM950,x-IBM964,x-IBM970,x-ISCII91,x-ISO-2022-CN-CNS,x-ISO-2022-CN-GB,x-iso-8859-11,x-JIS0208,x-JISAutoDetect,x-Johab,x-MacArabic,x-MacCentralEurope,x-MacCroatian,x-MacCyrillic,x-MacDingbat,x-MacGreek,x-MacHebrew,x-MacIceland,x-MacRoman,x-MacRomania,x-MacSymbol,x-MacThai,x-MacTurkish,x-MacUkraine,x-MS932_0213,x-MS950-HKSCS,x-MS950-HKSCS-XP,x-mswin-936,x-PCK,x-SJIS_0213,x-UTF-16LE-BOM,X-UTF-32BE-BOM,X-UTF-32LE-BOM,x-windows-50220,x-windows-50221,x-windows-874,x-windows-949,x-windows-950,x-windows-iso2022jp
Sets the ignore leading whitespace setting - if true, white space in front of a quote in a field is ignored.
Importance: LOW
Type: BOOLEAN
Default Value: true
Sets the ignore quotations mode - if true, quotations are ignored.
Importance: LOW
Type: BOOLEAN
Flag to determine if the carriage return at the end of the line should be maintained.
Importance: LOW
Type: BOOLEAN
Indicator to determine how the CSV Reader can determine if a field is null. Valid values are EMPTY_SEPARATORS, EMPTY_QUOTES, BOTH, NEITHER. For more information see http://opencsv.sourceforge.net/apidocs/com/opencsv/enums/CSVReaderNullFieldIndicator.html.
Importance: LOW
Type: STRING
Default Value: NEITHER
Validator: Matches: EMPTY_SEPARATORS, EMPTY_QUOTES, BOTH, NEITHER
The character that is used to quote a field. This typically happens when the csv.separator.char character is within the data.
Importance: LOW
Type: INT
Default Value: 34
The character that separates each field in the form of an integer. Typically in a CSV this is a ,(44) character. A TSV would use a tab(9) character. If csv.separator.char is defined as a null(0), then the RFC 4180 parser must be utilized by default. This is the equivalent of csv.rfc.4180.parser.enabled = true.
Importance: LOW
Type: INT
Default Value: 44
Number of lines to skip in the beginning of the file.
Importance: LOW
Type: INT
Default Value: 0
Sets the strict quotes setting - if true, characters outside the quotes are ignored.
Importance: LOW
Type: BOOLEAN
Flag to determine if the reader should be verified.
Importance: LOW
Type: BOOLEAN
Default Value: true
Flag to determine if schemas should be dynamically generated. If set to true, key.schema and value.schema can be omitted, but schema.generation.key.name and schema.generation.value.name must be set.
Importance: MEDIUM
Type: BOOLEAN
The field(s) to use to build a key schema. This is only used during schema generation.
Importance: MEDIUM
Type: LIST
The name of the generated key schema.
Importance: MEDIUM
Type: STRING
Default Value: com.github.jcustenborder.kafka.connect.model.Key
The name of the generated value schema.
Importance: MEDIUM
Type: STRING
Default Value: com.github.jcustenborder.kafka.connect.model.Value
The field in the value schema that will contain the parsed timestamp for the record. This field cannot be marked as optional and must be a Timestamp
Importance: MEDIUM
Type: STRING
Determines how the connector will set the timestamp for the ConnectRecord. If set to Field then the timestamp will be read from a field in the value. This field cannot be optional and must be a Timestamp. Specify the field in timestamp.field. If set to FILE_TIME then the last modified time of the file will be used. If set to PROCESS_TIME the time the record is read will be used.
Importance: MEDIUM
Type: STRING
Default Value: PROCESS_TIME
Validator: Matches: FIELD, FILE_TIME, PROCESS_TIME
The date formats that are expected in the file. This is a list of strings that will be used to parse the date fields in order. The most accurate date format should be the first in the list. Take a look at the Java documentation for more info. https://docs.oracle.com/javase/6/docs/api/java/text/SimpleDateFormat.html
Importance: LOW
Type: LIST
Default Value: [yyyy-MM-dd'T'HH:mm:ss, yyyy-MM-dd' 'HH:mm:ss]
The timezone that all of the dates will be parsed with.
Importance: LOW
Type: STRING
Default Value: UTC
mvn clean packageContributions are always welcomed! Before you start any development please create an issue and
start a discussion. Create a pull request against your newly created issue and we're happy to see
if we can merge your pull request. First and foremost any time you're adding code to the code base
you need to include test coverage. Make sure that you run mvn clean package before submitting your
pull to ensure that all of the tests, checkstyle rules, and the package can be successfully built.