CSV Source Connector

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.

Important

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.

Tip

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.

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

Configuration

File System

error.path

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.

input.file.pattern

Regular expression to check input file names against. This expression must match the entire filename. The equivalent of Matcher.matches().

Importance: HIGH

Type: STRING

input.path

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.

finished.path

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

halt.on.error

Should the task halt when it encounters an error or continue to the next file.

Importance: HIGH

Type: BOOLEAN

Default Value: true

cleanup.policy

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

task.partitioner

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

cleanup.policy.maintain.relative.path

If input.path.walk.recursively is enabled in combination with this flag being true, the walked sub-directories which contained files will be retained as-is under the input.path. The actual files within the sub-directories will moved (with a copy of the sub-dir structure) or deleted as per the cleanup.policy defined, but the parent sub-directory structure will remain.

Importance: LOW

Type: BOOLEAN

file.buffer.size.bytes

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,…]

file.minimum.age.ms

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,…]

files.sort.attributes

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

input.path.walk.recursively

If enabled, any sub-directories dropped under input.path will be recursively walked looking for files matching the configured input.file.pattern. After processing is complete the discovered sub directory structure (as well as files within them) will handled according to the configured cleanup.policy (i.e. moved or deleted etc). For each discovered file, the walked sub-directory path will be set as a header named file.relative.path

Importance: LOW

Type: BOOLEAN

processing.file.extension

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( ^.*..+$ )

General

topic

The Kafka topic to write the data to.

Importance: HIGH

Type: STRING

batch.size

The number of records that should be returned with each batch.

Importance: LOW

Type: INT

Default Value: 1000

csv.case.sensitive.field.names

Flag to determine if the field names in the header row should be treated as case sensitive.

Importance: LOW

Type: BOOLEAN

csv.rfc.4180.parser.enabled

Flag to determine if the RFC 4180 parser should be used instead of the default parser.

Importance: LOW

Type: BOOLEAN

empty.poll.wait.ms

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]

task.count

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,…]

task.index

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,…]

Schema

key.schema

The schema for the key written to Kafka.

Importance: HIGH

Type: STRING

value.schema

The schema for the value written to Kafka.

Importance: HIGH

Type: STRING

CSV Parsing

csv.first.row.as.header

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

csv.escape.char

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

csv.file.charset

Character set to read wth file with.

Importance: LOW

Type: STRING

Default Value: US-ASCII

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-8859-2,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-COMPOUND_TEXT,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-IBM1166,x-IBM1364,x-IBM1381,x-IBM1383,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

csv.ignore.leading.whitespace

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

csv.ignore.quotations

Sets the ignore quotations mode - if true, quotations are ignored.

Importance: LOW

Type: BOOLEAN

csv.keep.carriage.return

Flag to determine if the carriage return at the end of the line should be maintained.

Importance: LOW

Type: BOOLEAN

csv.null.field.indicator

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

csv.quote.char

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

csv.separator.char

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

csv.skip.lines

Number of lines to skip in the beginning of the file.

Importance: LOW

Type: INT

Default Value: 0

csv.strict.quotes

Sets the strict quotes setting - if true, characters outside the quotes are ignored.

Importance: LOW

Type: BOOLEAN

csv.verify.reader

Flag to determine if the reader should be verified.

Importance: LOW

Type: BOOLEAN

Default Value: true

Schema Generation

schema.generation.enabled

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

schema.generation.key.fields

The field(s) to use to build a key schema. This is only used during schema generation.

Importance: MEDIUM

Type: LIST

schema.generation.key.name

The name of the generated key schema.

Importance: MEDIUM

Type: STRING

Default Value: com.github.jcustenborder.kafka.connect.model.Key

schema.generation.value.name

The name of the generated value schema.

Importance: MEDIUM

Type: STRING

Default Value: com.github.jcustenborder.kafka.connect.model.Value

Timestamps

timestamp.field

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](https://kafka.apache.org/0102/javadoc/org/apache/kafka/connect/data/Schema.html)

Importance: MEDIUM

Type: STRING

timestamp.mode

Determines how the connector will set the timestamp for the [ConnectRecord](https://kafka.apache.org/0102/javadoc/org/apache/kafka/connect/connector/ConnectRecord.html#timestamp()). 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](https://kafka.apache.org/0102/javadoc/org/apache/kafka/connect/data/Schema.html). 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

parser.timestamp.date.formats

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]

parser.timestamp.timezone

The timezone that all of the dates will be parsed with.

Importance: LOW

Type: STRING

Default Value: UTC