server/src/assembly/resources/conf/iotdb-engine.properties

#
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# to you under the Apache License, Version 2.0 (the
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#
#     http://www.apache.org/licenses/LICENSE-2.0
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# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

####################
### RPC Configuration
####################

# Datatype: String
rpc_address=0.0.0.0

# Datatype: int
rpc_port=6667

# Datatype: boolean
# rpc_thrift_compression_enable=false

# if true, a snappy based compression method will be called before sending data by the network
# Datatype: boolean
# this feature is under development, set this as false before it is done.
# rpc_advanced_compression_enable=false

# Datatype: int
# rpc_max_concurrent_client_num=65535

# thrift max frame size, 512MB by default
# Datatype: int
# thrift_max_frame_size=536870912

# thrift init buffer size
# Datatype: int
# thrift_init_buffer_size=1024

####################
### Write Ahead Log Configuration
####################

# Is insert ahead log enable
# Datatype: boolean
# enable_wal=true

# Add a switch to drop ouf-of-order data
# Out-of-order data will impact the aggregation query a lot. Users may not care about discarding some out-of-order data.
# Datatype: boolean
# enable_discard_out_of_order_data=false

# When a certain amount of insert ahead log is reached, it will be flushed to disk
# It is possible to lose at most flush_wal_threshold operations
# Datatype: int
# flush_wal_threshold=10000

# The cycle when insert ahead log is periodically forced to be written to disk(in milliseconds)
# If force_wal_period_in_ms = 0 it means force insert ahead log to be written to disk after each refreshment
# Set this parameter to 0 may slow down the ingestion on slow disk.
# Datatype: long
# force_wal_period_in_ms=100

####################
### Directory Configuration
####################

# system dir
# If this property is unset, system will save the data in the default relative path directory under the IoTDB folder(i.e., %IOTDB_HOME%/data/system).
# If it is absolute, system will save the data in exact location it points to.
# If it is relative, system will save the data in the relative path directory it indicates under the IoTDB folder.
# For windows platform
# If its prefix is a drive specifier followed by "\\", or if its prefix is "\\\\", then the path is absolute. Otherwise, it is relative.
# system_dir=data\\system
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# system_dir=data/system


# data dirs
# If this property is unset, system will save the data in the default relative path directory under the IoTDB folder(i.e., %IOTDB_HOME%/data/data).
# If it is absolute, system will save the data in exact location it points to.
# If it is relative, system will save the data in the relative path directory it indicates under the IoTDB folder.
# Note: If data_dir is assigned an empty string(i.e.,zero-size), it will be handled as a relative path.
# For windows platform
# If its prefix is a drive specifier followed by "\\", or if its prefix is "\\\\", then the path is absolute. Otherwise, it is relative.
# data_dirs=data\\data
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# data_dirs=data/data


# mult_dir_strategy
# The strategy is used to choose a directory from tsfile_dir for the system to store a new tsfile.
# System provides four strategies to choose from, or user can create his own strategy by extending org.apache.iotdb.db.conf.directories.strategy.DirectoryStrategy.
# The info of the four strategies are as follows:
# 1. SequenceStrategy: the system will choose the directory in sequence.
# 2. MaxDiskUsableSpaceFirstStrategy: the system will choose the directory whose disk has the maximum space.
# 3. MinFolderOccupiedSpaceFirstStrategy: the system will choose the directory whose folder has the minimum occupied space.
# 4. RandomOnDiskUsableSpaceStrategy: the system will randomly choose the directory based on usable space of disks. The more usable space, the greater the chance of being chosen;
# Set SequenceStrategy,MaxDiskUsableSpaceFirstStrategy and MinFolderOccupiedSpaceFirstStrategy to apply the corresponding strategy.
# If this property is unset, system will use MaxDiskUsableSpaceFirstStrategy as default strategy.
# For this property, fully-qualified class name (include package name) and simple class name are both acceptable.
# multi_dir_strategy=MaxDiskUsableSpaceFirstStrategy


# wal dir
# If this property is unset, system will save the data in the default relative path directory under the IoTDB folder(i.e., %IOTDB_HOME%/data).
# If it is absolute, system will save the data in the exact location it points to.
# If it is relative, system will save the data in the relative path directory it indicates under the IoTDB folder.
# Note: If wal_dir is assigned an empty string(i.e.,zero-size), it will be handled as a relative path.
# For windows platform
# If its prefix is a drive specifier followed by "\\", or if its prefix is "\\\\", then the path is absolute. Otherwise, it is relative.
# wal_dir=data\\wal
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# wal_dir=data/wal


# TSFile storage file system. Currently, Tsfiles are supported to be stored in LOCAL file system or HDFS.
# Datatype: FSType
# tsfile_storage_fs=LOCAL

# If using HDFS, the absolute file path of Hadoop core-site.xml should be configured
# Datatype: String
# core_site_path=/etc/hadoop/conf/core-site.xml

# If using HDFS, the absolute file path of Hadoop hdfs-site.xml should be configured
# Datatype: String
# hdfs_site_path=/etc/hadoop/conf/hdfs-site.xml

# If using HDFS, hadoop ip can be configured. If there are more than one hdfs_ip, Hadoop HA is used
# Datatype: String
# hdfs_ip=localhost

# If using HDFS, hadoop port can be configured
# Datatype: String
# hdfs_port=9000

# If there are more than one hdfs_ip, Hadoop HA is used. Below are configuration for HA
# If using Hadoop HA, nameservices of hdfs can be configured
# Datatype: String
# dfs_nameservices=hdfsnamespace

# If using Hadoop HA, namenodes under dfs nameservices can be configured
# Datatype: String
# dfs_ha_namenodes=nn1,nn2

# If using Hadoop HA, automatic failover can be enabled or disabled
# Datatype: boolean
# dfs_ha_automatic_failover_enabled=true

# If using Hadoop HA and enabling automatic failover, the proxy provider can be configured
# Datatype: String
# dfs_client_failover_proxy_provider=org.apache.hadoop.hdfs.server.namenode.ha.ConfiguredFailoverProxyProvider

# If using kerberos to authenticate hdfs, this should be true
# Datatype: boolean
# hdfs_use_kerberos=false

# Full path of kerberos keytab file
# Datatype: String
# kerberos_keytab_file_path=/path

# Kerberos pricipal
# Datatype: String
# kerberos_principal=your principal


####################
### Storage Engine Configuration
####################

# Use this value to set timestamp precision as "ms", "us" or "ns".
# Once the precision is been set, it can not be changed.
# Datatype: String
timestamp_precision=ms

# Default TTL for storage groups that are not set TTL by statements, in ms. If not set (default),
# the TTL will be unlimited.
# Notice: if this property is changed, previous created storage group which are not set TTL will
# also be affected. And negative values are accepted, which means you can only insert future
# data.
# Datatype: long
# default_ttl=36000000

# Shutdown system or set it to read-only mode when unrecoverable error occurs.
# Datatype: bool
# allow_read_only_when_errors_occur=true

# The size of the log buffer in each log node (in bytes). Due to the double buffer mechanism,
# if WAL is enabled and the size of the inserted plan is greater than one-half of this parameter,
# then the insert plan will be rejected by WAL.
# If it sets a value smaller than 0, use the default value 16777216
# Datatype: int
# wal_buffer_size=16777216

# Size of log buffer in each metadata operation plan(in byte).
# If the size of a metadata operation plan is larger than this parameter, then it will be rejected by MManager
# If it sets a value smaller than 0, use the default value 1024*1024
# Datatype: int
# mlog_buffer_size=1048576

# The cycle when metadata log is periodically forced to be written to disk(in milliseconds)
# If sync_mlog_period_in_ms = 0 it means force metadata log to be written to disk after each refreshment
# Set this parameter to 0 may slow down the operation on slow disk.
# sync_mlog_period_in_ms=100

# When a memTable's size (in byte) exceeds this, the memtable is flushed to disk. The default threshold is 1 GB.
# Datatype: long
# memtable_size_threshold=1073741824

# Whether to timed flush sequence tsfiles' memtables.
# Datatype: boolean
# enable_timed_flush_seq_memtable=false

# If a memTable's created time is older than current time minus this, the memtable will be flushed to disk.
# Only check sequence tsfiles' memtables.
# The default flush interval is 60 * 60 * 1000. (unit: ms)
# Datatype: long
# seq_memtable_flush_interval_in_ms=3600000

# The interval to check whether sequence memtables need flushing.
# The default flush check interval is 10 * 60 * 1000. (unit: ms)
# Datatype: long
# seq_memtable_flush_check_interval_in_ms=600000

# Whether to timed flush unsequence tsfiles' memtables.
# Datatype: boolean
# enable_timed_flush_unseq_memtable=true

# If a memTable's created time is older than current time minus this, the memtable will be flushed to disk.
# Only check unsequence tsfiles' memtables.
# The default flush interval is 60 * 60 * 1000. (unit: ms)
# Datatype: long
# unseq_memtable_flush_interval_in_ms=3600000

# The interval to check whether unsequence memtables need flushing.
# The default flush check interval is 10 * 60 * 1000. (unit: ms)
# Datatype: long
# unseq_memtable_flush_check_interval_in_ms=600000

# Whether to timed close tsfiles.
# Datatype: boolean
# enable_timed_close_tsfile=true

# If a TsfileProcessor's last working memtable flush time is older than current time minus this and its working memtable is null, the TsfileProcessor will be closed.
# The default close interval is 60 * 60 * 1000. (unit: ms)
# Datatype: long
# close_tsfile_interval_after_flushing_in_ms=3600000

# The interval to check whether tsfiles need closing.
# The default close check interval is 10 * 60 * 1000. (unit: ms)
# Datatype: long
# close_tsfile_check_interval_in_ms=600000

# When the average point number of timeseries in memtable exceeds this, the memtable is flushed to disk. The default threshold is 100000.
# Datatype: int
# avg_series_point_number_threshold=100000

# How many threads can concurrently flush. When <= 0, use CPU core number.
# Datatype: int
# concurrent_flush_thread=0

# How many threads can concurrently execute query statement. When <= 0, use CPU core number.
# Datatype: int
# concurrent_query_thread=0

# How many threads can concurrently run archiving tasks. When <= 0, use default number of 2.
# Datatype: int
# archiving_thread_num=2

# How many threads can concurrently read data for raw data query. When <= 0, use CPU core number.
# Datatype: int
# concurrent_sub_rawQuery_thread=0

# Blocking queue size for read task in raw data query. Must >= 1.
# Datatype: int
# raw_query_blocking_queue_capacity=5

# whether take over the memory management by IoTDB rather than JVM when serializing memtable as bytes in memory
# (i.e., whether use ChunkBufferPool), value true, false
# Datatype: boolean
# chunk_buffer_pool_enable=false

# The amount of data iterate each time in server (the number of data strips, that is, the number of different timestamps.)
# Datatype: int
# batch_size=100000

# max size for tag and attribute of one time series
# the unit is byte
# Datatype: int
# tag_attribute_total_size=700

# interval num for tag and attribute records when force flushing to disk
# When a certain amount of tag and attribute records is reached, they will be force flushed to disk
# It is possible to lose at most tag_attribute_flush_interval records
# tag_attribute_flush_interval=1000

# In one insert (one device, one timestamp, multiple measurements),
# if enable partial insert, one measurement failure will not impact other measurements
# Datatype: boolean
# enable_partial_insert=true

# Whether to enable MTree snapshot. Default false from 0.11.0 on.
# Datatype: boolean
# enable_mtree_snapshot=false

# The least interval line numbers of mlog.txt when creating a checkpoint and saving snapshot of MTree.
# Only take effect when enable_mtree_snapshot=true. Unit: line numbers
# Datatype: int
# mtree_snapshot_interval=100000

# Threshold interval time of MTree modification. Unit: second. Default: 1 hour(3600 seconds)
# If the last modification time is less than this threshold, MTree snapshot will not be created
# Only take effect when enable_mtree_snapshot=true.
# Datatype: int
# mtree_snapshot_threshold_time=3600

# number of virtual storage groups per user-defined storage group
# a virtual storage group is the unit of parallelism in memory as all ingestions in one virtual storage group are serialized
# recommended value is [virtual storage group number] = [CPU core number] / [user-defined storage group number]
# Datatype: int
# virtual_storage_group_num = 1

# the interval to log recover progress of each vsg when starting iotdb
# Datatype: int
# recovery_log_interval_in_ms=5000

####################
### Memory Control Configuration
####################

# Whether to enable memory control
# Datatype: boolean
# enable_mem_control=true

# Memory Allocation Ratio: Write, Read, Schema and Free Memory.
# The parameter form is a:b:c:d, where a, b, c and d are integers. for example: 1:1:1:1 , 6:2:1:1
# If you have high level of writing pressure and low level of reading pressure, please adjust it to for example 6:1:1:2
# write_read_schema_free_memory_proportion=4:3:1:2

# Memory allocation ratio in StorageEngine: Write, Compaction
# The parameter form is a:b:c:d, where a, b, c and d are integers. for example: 8:2 , 7:3
# storage_engine_memory_proportion=8:2

# primitive array size (length of each array) in array pool
# Datatype: int
# primitive_array_size=32

# Ratio of write memory for invoking flush disk, 0.4 by default
# If you have extremely high write load (like batch=1000), it can be set lower than the default value like 0.2
# Datatype: double
# flush_proportion=0.4

# Ratio of read memory allocated for timeIndex, 0.2 by default
# Datatype: double
# time_index_memory_proportion=0.2

# Ratio of write memory allocated for buffered arrays, 0.6 by default
# Datatype: double
# buffered_arrays_memory_proportion=0.6

# Ratio of write memory for rejecting insertion, 0.8 by default
# If you have extremely high write load (like batch=1000) and the physical memory size is large enough,
# it can be set higher than the default value like 0.9
# Datatype: double
# reject_proportion=0.8

# If memory (in byte) of storage group increased more than this threshold, report to system. The default value is 16MB
# Datatype: long
# storage_group_report_threshold=16777216

# allowed max numbers of deduplicated path in one query
# it's just an advised value, the real limitation will be the smaller one between this and the one we calculated
# Datatype: int
# max_deduplicated_path_num=1000

# When an inserting is rejected, waiting period (in ms) to check system again, 50 by default.
# If the insertion has been rejected and the read load is low, it can be set larger.
# Datatype: int
# check_period_when_insert_blocked=50

# When the waiting time (in ms) of an inserting exceeds this, throw an exception. 10000 by default.
# If the insertion has been rejected and the read load is low, it can be set larger
# Datatype: int
# max_waiting_time_when_insert_blocked=10000

# estimated metadata size (in byte) of one timeseries in Mtree
# Datatype: int
# estimated_series_size=300

# size of ioTaskQueue. The default value is 10
# Datatype: int
# io_task_queue_size_for_flushing=10

# Size of schema query data set. The record number returned by one schema query won't be larger than value of this param.
# Datatype: int
# schema_query_fetch_size=10000000

####################
### Upgrade Configurations
####################

# When there exists old version(0.9.x/v1) data, how many thread will be set up to perform upgrade tasks, 1 by default.
# Set to 1 when less than or equal to 0.
# Datatype: int
# upgrade_thread_num=1

####################
### Query Configurations
####################

# the default time period that used in fill query, -1 by default means infinite past time
# Datatype: int, Unit: ms
# default_fill_interval=-1

####################
### Compaction Configurations
####################
# sequence space compaction: only compact the sequence files
# Datatype: boolean
# enable_seq_space_compaction=true

# unsequence space compaction: only compact the unsequence files
# Datatype: boolean
# enable_unseq_space_compaction=true

# cross space compaction: compact the unsequence files into the overlapped sequence files
# Datatype: boolean
# enable_cross_space_compaction=true

# the strategy of cross space compaction task
# Options: rewrite_compaction
# cross_compaction_strategy=rewrite_compaction

# the strategy of inner space compaction task
# Options: size_tiered_compaction
# inner_compaction_strategy=size_tiered_compaction

# The priority of compaction execution
# INNER_CROSS: prioritize inner space compaction, reduce the number of files first
# CROSS_INNER: prioritize cross space compaction, eliminate the unsequence files first
# BALANCE: alternate two compaction types
# compaction_priority=BALANCE

# size proportion for chunk metadata maintains in memory when compacting
# Datatype: double
# chunk_metadata_memory_size_proportion=0.1

# The target tsfile size in compaction
# Datatype: long, Unit: byte
# target_compaction_file_size=1073741824

# The target chunk size in compaction, default is 1MB
# Datatype: long, Unit: byte
# target_chunk_size=1048576

# The target point nums in one chunk in compaction
# Datatype: long
# target_chunk_point_num=100000

# If the chunk size is lower than this threshold, it will be deserialize into points, default is 128 byte
# Datatype: long, Unit:byte
# chunk_size_lower_bound_in_compaction=128

# If the chunk point num is lower than this threshold, it will be deserialize into points
# Datatype: long
# chunk_point_num_lower_bound_in_compaction=100

# The max file when selecting inner space compaction candidate files
# Datatype: int
# max_inner_compaction_candidate_file_num=30

# The max file when selecting cross space compaction candidate files
# Datatype: int
# max_cross_compaction_candidate_file_num=1000

# The max total size when selecting cross space compaction candidate files
# At least one unseq file with it's overlapped seq files will be selected even exceeded this number
# Datatype: long, Unit: byte
# max_cross_compaction_candidate_file_size=5368709120

# If one merge file selection runs for more than this time, it will be ended and its current
# selection will be used as final selection.
# When < 0, it means time is unbounded.
# Datatype: long, Unit: ms
# cross_compaction_file_selection_time_budget=30000

# How many threads will be set up to perform compaction, 10 by default.
# Set to 1 when less than or equal to 0.
# Datatype: int
# concurrent_compaction_thread=10

# The interval of compaction task schedule
# Datatype: long, Unit: ms
# compaction_schedule_interval_in_ms=60000

# The interval of compaction task submission
# Datatype: long, Unit: ms
# compaction_submission_interval_in_ms=60000

# The limit of write throughput merge can reach per second
# Datatype: int
# compaction_write_throughput_mb_per_sec=16

# The maximum session idle time. unit: ms
# Idle sessions are the ones that performs neither query or non-query operations for a period of time
# Set to 0 to disable session timeout
# Datatype: int
# session_timeout_threshold=0

# The max executing time of query. unit: ms
# Datatype: int
# query_timeout_threshold=60000

# The number of sub compaction threads to be set up to perform compaction.
# Currently only works for nonAligned data in cross space compaction and unseq inner space compaction.
# Set to 1 when less than or equal to 0.
# Datatype: int
# sub_compaction_thread_num=4

####################
### Metadata Cache Configuration
####################

# whether to cache meta data(BloomFilter, ChunkMetadata and TimeSeriesMetadata) or not.
# Datatype: boolean
# meta_data_cache_enable=true

# Read memory Allocation Ratio: BloomFilterCache, ChunkCache, TimeSeriesMetadataCache, memory used for constructing QueryDataSet and Free Memory Used in Query.
# The parameter form is a:b:c:d:e, where a, b, c, d and e are integers. for example: 1:1:1:1:1 , 1:100:200:300:400
# chunk_timeseriesmeta_free_memory_proportion=1:100:200:300:400

# cache size for MManager.
# This cache is used to improve insert speed where all path check and TSDataType will be cached in MManager with corresponding Path.
# Datatype: int
# metadata_node_cache_size=300000

####################
### LAST Cache Configuration
####################

# Whether to enable LAST cache
# Datatype: boolean
# enable_last_cache=true

####################
### WAL Direct Buffer Pool Configuration
####################
# the interval to trim the wal pool
# Datatype: long
# wal_pool_trim_interval_ms=10000

# the max number of wal bytebuffer can be allocated for each time partition, if there is no unseq data you can set it to 4.
# it should be an even number
# Datatype: int
# max_wal_bytebuffer_num_for_each_partition=6

# if OOM occurs when registering bytebuffer, system will sleep awhile and then try again.
# register_buffer_sleep_interval_in_ms=200

# if total sleep time exceeds this, system will reject this write.
# register_buffer_reject_threshold_in_ms=10000

####################
### External sort Configuration
####################
# Is external sort enable
# Datatype: boolean
# enable_external_sort=true

# The maximum number of simultaneous chunk reading for a single time series.
# If the num of simultaneous chunk reading is greater than external_sort_threshold, external sorting is used.
# When external_sort_threshold increases, the number of chunks sorted at the same time in memory may increase and this will occupy more memory.
# When external_sort_threshold decreases, triggering external sorting will increase the time-consuming.
# Datatype: int
# external_sort_threshold=1000


####################
### Sync Server Configuration
####################

# Whether to open the sync_server_port for receiving data from sync client, the default is closed
# Datatype: boolean
# is_sync_enable=false

# Sync server port to listen
# Datatype: int
# sync_server_port=5555

# White IP list of Sync client.
# Please use the form of network segment to present the range of IP, for example: 192.168.0.0/16
# If there are more than one IP segment, please separate them by commas
# The default is to allow all IP to sync
# Datatype: String
# ip_white_list=0.0.0.0/0

####################
### performance statistic configuration
####################

# Uncomment following fields to configure the tracing root directory.
# For Window platform, the index is as follows:
# tracing_dir=data\\tracing
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# tracing_dir=data/tracing

####################
### Configurations for watermark module
####################
# Datatype: boolean
# watermark_module_opened=false
# Datatype: String
# watermark_secret_key=IoTDB*2019@Beijing
# Datatype: String
# watermark_bit_string=100101110100
# Datatype: String
# watermark_method=GroupBasedLSBMethod(embed_row_cycle=2,embed_lsb_num=5)


####################
### Configurations for creating schema automatically
####################

# Whether creating schema automatically is enabled
# Datatype: boolean
# enable_auto_create_schema=true

# Storage group level when creating schema automatically is enabled
# e.g. root.sg0.d1.s2
#      we will set root.sg0 as the storage group if storage group level is 1
# Datatype: int
# default_storage_group_level=1

# ALL data types: BOOLEAN, INT32, INT64, FLOAT, DOUBLE, TEXT

# register time series as which type when receiving boolean string "true" or "false"
# Datatype: TSDataType
# boolean_string_infer_type=BOOLEAN

# register time series as which type when receiving an integer string "67"
# Datatype: TSDataType
# integer_string_infer_type=FLOAT

# register time series as which type when receiving an integer string and using float may lose precision
# num > 2 ^ 24
# Datatype: TSDataType
# long_string_infer_type=DOUBLE

# register time series as which type when receiving a floating number string "6.7"
# Datatype: TSDataType
# floating_string_infer_type=FLOAT

# register time series as which type when receiving the Literal NaN. Values can be DOUBLE, FLOAT or TEXT
# Datatype: TSDataType
# nan_string_infer_type=DOUBLE


# BOOLEAN encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_boolean_encoding=RLE

# INT32 encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_int32_encoding=RLE

# INT64 encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_int64_encoding=RLE

# FLOAT encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_float_encoding=GORILLA

# DOUBLE encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_double_encoding=GORILLA

# TEXT encoding when creating schema automatically is enabled
# Datatype: TSEncoding
# default_text_encoding=PLAIN

####################
### Configurations for tsfile-format
####################

# Datatype: int
# group_size_in_byte=134217728

# The memory size for each series writer to pack page, default value is 64KB
# Datatype: int
# page_size_in_byte=65536

# The maximum number of data points in a page, default 1024*1024
# Datatype: int
# max_number_of_points_in_page=1048576

# Max size limitation of input string
# Datatype: int
# max_string_length=128

# Floating-point precision
# Datatype: int
# float_precision=2

# Encoder configuration
# Encoder of time series, supports TS_2DIFF, PLAIN and RLE(run-length encoding), REGULAR and default value is TS_2DIFF
# time_encoder=TS_2DIFF

# Encoder of value series. default value is PLAIN.
# For int, long data type, also supports TS_2DIFF and RLE(run-length encoding) and GORILLA.
# For float, double data type, also supports TS_2DIFF, RLE(run-length encoding) and GORILLA.
# For text data type, only supports PLAIN.
# value_encoder=PLAIN

# Compression configuration
# Data compression method, supports UNCOMPRESSED, SNAPPY or LZ4. Default value is SNAPPY
# compressor=SNAPPY

# Maximum degree of a metadataIndex node, default value is 256
# Datatype: int
# max_degree_of_index_node=256

# time interval in minute for calculating query frequency
# Datatype: int
# frequency_interval_in_minute=1

# time cost(ms) threshold for slow query
# Datatype: long
# slow_query_threshold=5000

# max pattern access time in regex filter
# Datatype: int
# pattern_matching_threshold=1000000

####################
### MQTT Broker Configuration
####################

# whether to enable the mqtt service.
# Datatype: boolean
# enable_mqtt_service=false

# the mqtt service binding host.
# Datatype: String
# mqtt_host=0.0.0.0

# the mqtt service binding port.
# Datatype: int
# mqtt_port=1883

# the handler pool size for handing the mqtt messages.
# Datatype: int
# mqtt_handler_pool_size=1

# the mqtt message payload formatter.
# Datatype: String
# mqtt_payload_formatter=json

# max length of mqtt message in byte
# Datatype: int
# mqtt_max_message_size=1048576

####################
### Authorization Configuration
####################

#which class to serve for authorization. By default, it is LocalFileAuthorizer.
#Another choice is org.apache.iotdb.db.auth.authorizer.OpenIdAuthorizer
# authorizer_provider_class=org.apache.iotdb.db.auth.authorizer.LocalFileAuthorizer


#If OpenIdAuthorizer is enabled, then openID_url must be set.

#openID_url=

####################
### UDF Configuration
####################

# Used to estimate the memory usage of text fields in a UDF query.
# It is recommended to set this value to be slightly larger than the average length of all text
# records.
# Datatype: int
# udf_initial_byte_array_length_for_memory_control=48

# How much memory may be used in ONE UDF query (in MB).
# The upper limit is 20% of allocated memory for read.
# Datatype: float
# udf_memory_budget_in_mb=30.0

# UDF memory allocation ratio.
# The parameter form is a:b:c, where a, b, and c are integers.
# udf_reader_transformer_collector_memory_proportion=1:1:1

# Uncomment the following field to configure the udf root directory.
# For Window platform
# If its prefix is a drive specifier followed by "\\", or if its prefix is "\\\\", then the path is
# absolute. Otherwise, it is relative.
# udf_root_dir=ext\\udf
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# udf_root_dir=ext/udf

####################
### Trigger Configuration
####################

# The size of log buffer for every trigger management operation plan. If the size of a trigger
# management operation plan is larger than this parameter, the trigger management operation plan
# will be rejected by TriggerManager.
# Datatype: int
# tlog_buffer_size=1048576

# Uncomment the following field to configure the trigger root directory.
# For Window platform
# If its prefix is a drive specifier followed by "\\", or if its prefix is "\\\\", then the path is
# absolute. Otherwise, it is relative.
# trigger_root_dir=ext\\trigger
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# trigger_root_dir=ext/trigger

# How many threads can be used for evaluating sliding windows. When <= 0, use CPU core number.
# Datatype: int
# concurrent_window_evaluation_thread=0

# Max number of window evaluation tasks that can be pending for execution. When <= 0, the value is
# 64 by default.
# Datatype: int
# max_pending_window_evaluation_tasks=64

####################
### Continuous Query Configuration
####################

# How many thread will be set up to perform continuous queries. When <= 0, use max(1, CPU core number / 2).
# Datatype: int
# continuous_query_execution_thread=2

# Maximum number of continuous query tasks that can be pending for execution. When <= 0, the value is
# 64 by default.
# Datatype: int
# max_pending_continuous_query_tasks=64

# Minimum every interval to perform continuous query.
# The every interval of continuous query instances should not be lower than this limit.
# Datatype: duration
# continuous_query_min_every_interval=1s

# The size of log buffer for every CQ management operation plan. If the size of a CQ
# management operation plan is larger than this parameter, the CQ management operation plan
# will be rejected by CQManager.
# Datatype: int
# cqlog_buffer_size=1048576

####################
### Select-Into Configuration
####################

# The maximum number of rows can be processed in insert-tablet-plan when executing select-into statements.
# When <= 0, use 10000.
# Datatype: int
# select_into_insert_tablet_plan_row_limit=10000


####################
### Insert-Tablets Configuration
####################

# When the insert plan column count reaches the specified threshold, which means that the plan is relatively large. At this time, may be enabled multithreading.
# If the tablet is small, the time of each insertion is short.
# If we enable multithreading, we also need to consider the switching loss between threads,
# so we need to judge the size of the tablet.
# Datatype: int
# insert_multi_tablet_enable_multithreading_column_threshold=10

####################
### Index Configuration
####################

# Uncomment following fields to configure the index root directory.
# For Window platform, the index is as follows:
# index_root_dir=data\\index
# For Linux platform
# If its prefix is "/", then the path is absolute. Otherwise, it is relative.
# index_root_dir=data/index

# Is index enable
# Datatype: boolean
# enable_index=false

# How many threads can concurrently build index. When <= 0, use CPU core number.
# Datatype: int
# concurrent_index_build_thread=0

# the default size of sliding window used for the subsequence matching in index framework
# Datatype: int
# default_index_window_range=10

# buffer parameter for index processor.
# Datatype: long
# index_buffer_size=134217728

# whether enable data partition. If disabled, all data belongs to partition 0
# Notice: It's not recommend to open this function. If open, please calculate appropriate concurrent_writing_time_partition and wal_buffer_size, you
# can calculate wal_buffer_size = MaxDirectMemorySizeInBytes * 0.3 / (storage_group_num * virtual_storage_group_num) / concurrent_writing_time_partition
# Datatype: boolean
# enable_partition=false

# time range for partitioning data inside each storage group, the unit is second
# Datatype: long
# partition_interval=604800

# max number of concurrent writing time partitions in one storage group
# Datatype: long
# concurrent_writing_time_partition=1

# admin username, default is root
# Datatype: string
# admin_name=root

# admin password, default is root
# Datatype: string
# admin_password=root

####################
### Influx DB RPC Service Configuration
####################
# Datatype: boolean
# enable_influxdb_rpc_service=false

# Datatype: int
# influxdb_rpc_port=8086

####################
### Group By Fill Configuration
####################
# Datatype: float
# group_by_fill_cache_size_in_mb=1.0