The default configuration parameters allow Flink to run out-of-the-box in single node setups.
This page lists the most common options that are typically needed to set up a well performing (distributed) installation. In addition a full list of all available configuration parameters is listed here.
All configuration is done in conf/flink-conf.yaml, which is expected to be a flat collection of YAML key value pairs with format key: value.
The system and run scripts parse the config at startup time. Changes to the configuration file require restarting the Flink JobManager and TaskManagers.
env.java.home: The path to the Java installation to use (DEFAULT: system's default Java installation, if found). Needs to be specified if the startup scipts fail to automatically resolve the java home directory. Can be specified to point to a specific java installation or version. If this option is not specified, the startup scripts also evaluate the $JAVA_HOME environment variable.
jobmanager.rpc.address: The IP address of the JobManager, which is the master/coordinator of the distributed system (DEFAULT: localhost).
jobmanager.rpc.port: The port number of the JobManager (DEFAULT: 6123).
jobmanager.heap.mb: JVM heap size (in megabytes) for the JobManager (DEFAULT: 256).
taskmanager.heap.mb: JVM heap size (in megabytes) for the TaskManagers, which are the parallel workers of the system. In contrast to Hadoop, Flink runs operators (e.g., join, aggregate) and user-defined functions (e.g., Map, Reduce, CoGroup) inside the TaskManager (including sorting/hashing/caching), so this value should be as large as possible (DEFAULT: 512). On YARN setups, this value is automatically configured to the size of the TaskManager's YARN container, minus a certain tolerance value.
taskmanager.numberOfTaskSlots: The number of parallel operator or UDF instances that a single TaskManager can run (DEFAULT: 1). If this value is larger than 1, a single TaskManager takes multiple instances of a function or operator. That way, the TaskManager can utilize multiple CPU cores, but at the same time, the available memory is divided between the different operator or function instances. This value is typically proportional to the number of physical CPU cores that the TaskManager's machine has (e.g., equal to the number of cores, or half the number of cores).
parallelization.degree.default: The default degree of parallelism to use for programs that have no degree of parallelism specified. (DEFAULT: 1). For setups that have no concurrent jobs running, setting this value to NumTaskManagers * NumSlotsPerTaskManager will cause the system to use all available execution resources for the program's execution.
fs.hdfs.hadoopconf: The absolute path to the Hadoop File System‘s (HDFS) configuration directory (OPTIONAL VALUE). Specifying this value allows programs to reference HDFS files using short URIs (hdfs:///path/to/files, without including the address and port of the NameNode in the file URI). Without this option, HDFS files can be accessed, but require fully qualified URIs like hdfs://address:port/path/to/files. This option also causes file writers to pick up the HDFS’s default values for block sizes and replication factors. Flink will look for the “core-site.xml” and “hdfs-site.xml” files in teh specified directory.
taskmanager.tmp.dirs: The directory for temporary files, or a list of directories separated by the systems directory delimiter (for example ‘:’ (colon) on Linux/Unix). If multiple directories are specified, then the temporary files will be distributed across the directories in a round-robin fashion. The I/O manager component will spawn one reading and one writing thread per directory. A directory may be listed multiple times to have the I/O manager use multiple threads for it (for example if it is physically stored on a very fast disc or RAID) (DEFAULT: The system's tmp dir).
jobmanager.web.port: Port of the JobManager's web interface (DEFAULT: 8081).
fs.overwrite-files: Specifies whether file output writers should overwrite existing files by default. Set to true to overwrite by default, false otherwise. (DEFAULT: false)
fs.output.always-create-directory: File writers running with a parallelism larger than one create a directory for the output file path and put the different result files (one per parallel writer task) into that directory. If this option is set to true, writers with a parallelism of 1 will also create a directory and place a single result file into it. If the option is set to false, the writer will directly create the file directly at the output path, without creating a containing directory. (DEFAULT: false)
taskmanager.network.numberOfBuffers: The number of buffers available to the network stack. This number determines how many streaming data exchange channels a TaskManager can have at the same time and how well buffered the channels are. If a job is rejected or you get a warning that the system has not enough buffers available, increase this value (DEFAULT: 2048).
taskmanager.memory.size: The amount of memory (in megabytes) that the task manager reserves on the JVM's heap space for sorting, hash tables, and caching of intermediate results. If unspecified (-1), the memory manager will take a fixed ratio of the heap memory available to the JVM, as specified by taskmanager.memory.fraction. (DEFAULT: -1)
taskmanager.memory.fraction: The relative amount of memory that the task manager reserves for sorting, hash tables, and caching of intermediate results. For example, a value of 0.8 means that TaskManagers reserve 80% of the JVM‘s heap space for internal data buffers, leaving 20% of the JVM’s heap space free for objects created by user-defined functions. (DEFAULT: 0.7) This parameter is only evaluated, if taskmanager.memory.size is not set.
These parameters configure the default HDFS used by Flink. Setups that do not specify a HDFS configuration have to specify the full path to HDFS files (hdfs://address:port/path/to/files) Files will also be written with default HDFS parameters (block size, replication factor).
fs.hdfs.hadoopconf: The absolute path to the Hadoop configuration directory. The system will look for the “core-site.xml” and “hdfs-site.xml” files in that directory (DEFAULT: null).fs.hdfs.hdfsdefault: The absolute path of Hadoop's own configuration file “hdfs-default.xml” (DEFAULT: null).fs.hdfs.hdfssite: The absolute path of Hadoop's own configuration file “hdfs-site.xml” (DEFAULT: null).The following parameters configure Flink's JobManager and TaskManagers.
jobmanager.rpc.address: The IP address of the JobManager, which is the master/coordinator of the distributed system (DEFAULT: localhost).jobmanager.rpc.port: The port number of the JobManager (DEFAULT: 6123).taskmanager.rpc.port: The task manager's IPC port (DEFAULT: 6122).taskmanager.data.port: The task manager's port used for data exchange operations (DEFAULT: 6121).jobmanager.heap.mb: JVM heap size (in megabytes) for the JobManager (DEFAULT: 256).taskmanager.heap.mb: JVM heap size (in megabytes) for the TaskManagers, which are the parallel workers of the system. In contrast to Hadoop, Flink runs operators (e.g., join, aggregate) and user-defined functions (e.g., Map, Reduce, CoGroup) inside the TaskManager (including sorting/hashing/caching), so this value should be as large as possible (DEFAULT: 512). On YARN setups, this value is automatically configured to the size of the TaskManager's YARN container, minus a certain tolerance value.taskmanager.numberOfTaskSlots: The number of parallel operator or UDF instances that a single TaskManager can run (DEFAULT: 1). If this value is larger than 1, a single TaskManager takes multiple instances of a function or operator. That way, the TaskManager can utilize multiple CPU cores, but at the same time, the available memory is divided between the different operator or function instances. This value is typically proportional to the number of physical CPU cores that the TaskManager's machine has (e.g., equal to the number of cores, or half the number of cores).taskmanager.tmp.dirs: The directory for temporary files, or a list of directories separated by the systems directory delimiter (for example ‘:’ (colon) on Linux/Unix). If multiple directories are specified, then the temporary files will be distributed across the directories in a round robin fashion. The I/O manager component will spawn one reading and one writing thread per directory. A directory may be listed multiple times to have the I/O manager use multiple threads for it (for example if it is physically stored on a very fast disc or RAID) (DEFAULT: The system's tmp dir).taskmanager.network.numberOfBuffers: The number of buffers available to the network stack. This number determines how many streaming data exchange channels a TaskManager can have at the same time and how well buffered the channels are. If a job is rejected or you get a warning that the system has not enough buffers available, increase this value (DEFAULT: 2048).taskmanager.network.bufferSizeInBytes: The size of the network buffers, in bytes (DEFAULT: 32768 (= 32 KiBytes)).taskmanager.memory.size: The amount of memory (in megabytes) that the task manager reserves on the JVM's heap space for sorting, hash tables, and caching of intermediate results. If unspecified (-1), the memory manager will take a fixed ratio of the heap memory available to the JVM, as specified by taskmanager.memory.fraction. (DEFAULT: -1)taskmanager.memory.fraction: The relative amount of memory that the task manager reserves for sorting, hash tables, and caching of intermediate results. For example, a value of 0.8 means that TaskManagers reserve 80% of the JVM‘s heap space for internal data buffers, leaving 20% of the JVM’s heap space free for objects created by user-defined functions. (DEFAULT: 0.7) This parameter is only evaluated, if taskmanager.memory.size is not set.jobclient.polling.interval: The interval (in seconds) in which the client polls the JobManager for the status of its job (DEFAULT: 2).taskmanager.runtime.max-fan: The maximal fan-in for external merge joins and fan-out for spilling hash tables. Limits the number of file handles per operator, but may cause intermediate merging/partitioning, if set too small (DEFAULT: 128).taskmanager.runtime.sort-spilling-threshold: A sort operation starts spilling when this fraction of its memory budget is full (DEFAULT: 0.8).jobmanager.web.port: Port of the JobManager's web interface that displays status of running jobs and execution time breakdowns of finished jobs (DEFAULT: 8081).jobmanager.web.history: The number of latest jobs that the JobManager's web front-end in its history (DEFAULT: 5).These parameters configure the web interface that can be used to submit jobs and review the compiler's execution plans.
webclient.port: The port of the webclient server (DEFAULT: 8080).webclient.tempdir: The temp directory for the web server. Used for example for caching file fragments during file-uploads (DEFAULT: The system's temp directory).webclient.uploaddir: The directory into which the web server will store uploaded programs (DEFAULT: ${webclient.tempdir}/webclient-jobs/).webclient.plandump: The directory into which the web server will dump temporary JSON files describing the execution plans (DEFAULT: ${webclient.tempdir}/webclient-plans/).The parameters define the behavior of tasks that create result files.
fs.overwrite-files: Specifies whether file output writers should overwrite existing files by default. Set to true to overwrite by default, false otherwise. (DEFAULT: false)fs.output.always-create-directory: File writers running with a parallelism larger than one create a directory for the output file path and put the different result files (one per parallel writer task) into that directory. If this option is set to true, writers with a parallelism of 1 will also create a directory and place a single result file into it. If the option is set to false, the writer will directly create the file directly at the output path, without creating a containing directory. (DEFAULT: false)compiler.delimited-informat.max-line-samples: The maximum number of line samples taken by the compiler for delimited inputs. The samples are used to estimate the number of records. This value can be overridden for a specific input with the input format's parameters (DEFAULT: 10).compiler.delimited-informat.min-line-samples: The minimum number of line samples taken by the compiler for delimited inputs. The samples are used to estimate the number of records. This value can be overridden for a specific input with the input format's parameters (DEFAULT: 2).compiler.delimited-informat.max-sample-len: The maximal length of a line sample that the compiler takes for delimited inputs. If the length of a single sample exceeds this value (possible because of misconfiguration of the parser), the sampling aborts. This value can be overridden for a specific input with the input format's parameters (DEFAULT: 2097152 (= 2 MiBytes)).