This is an introduction to the design details of TsFile.
Big Endian
int 0x8 will be stored as 00 00 00 08, not 08 00 00 00String with Variable Length
int size plus String literal. Size can be zero.00 00 00 08 plus the encoding(ASCII) of “sensor_1”.MAGIC STRING + Version Number), the size(12) and encoding(ASCII) is fixed so there is no need to put the size before this string literal.Data Type Hardcode
int)long)String)Encoding Type Hardcode
Compressing Type Hardcode
TsDigest Statistics Type Hardcode
Here is a graph about the TsFile structure.
This TsFile contains two devices: d1, d2. Each device contains two measurements: s1, s2. 4 timeseries in total. Each timeseries contains 2 Chunks.
Here is another graph:
This TsFile contains two devices: d1, d2. Each device contains three measurements: s1, s2, s3. 6 timeseries in total. Each timeseries contains 2 Chunks.
There are three parts of metadata
Query Process：e.g., read d1.s1
A TsFile begins with a 6-byte magic string (TsFile) and a 6-byte version number (000002).
The content of a TsFile file can be divided as two parts: data (Chunk) and metadata (XXMetadata). There is a byte 0x02 as the marker between data and metadata.
The data section is an array of ChunkGroup, each ChunkGroup represents a device.
The ChunkGroup has an array of Chunk, a following byte 0x00 as the marker, and a ChunkFooter.
A Chunk represents the data of a measurement in a time range, data points in Chunks are in time ascending order. There is a byte 0x01 as the marker, following a ChunkHeader and an array of Page.
| Member | Type | Description |
|---|---|---|
| measurementID | String | Name of measurement |
| dataSize | int | Size of this chunk |
| dataType | TSDataType | Data type of this chuck |
| compressionType | CompressionType | Compression Type |
| encodingType | TSEncoding | Encoding Type |
| numOfPages | int | Number of pages |
A Page represents some data in a Chunk. It contains a PageHeader and the actual data (The encoded time-value pair).
PageHeader Structure
| Member | Type | Description |
|---|---|---|
| uncompressedSize | int | Data size before compressing |
| compressedSize | int | Data size after compressing(if use SNAPPY) |
| statistics | Statistics | Statistics values |
Here is the detailed information for statistics:
| Member | Description | DoubleStatistics | FloatStatistics | IntegerStatistics | LongStatistics | BinaryStatistics | BooleanStatistics |
|---|---|---|---|---|---|---|---|
| count | number of time-value points | long | long | long | long | long | long |
| startTime | start time | long | long | long | long | long | long |
| endTime | end time | long | long | long | long | long | long |
| minValue | min value | double | float | int | long | - | - |
| maxValue | max value | double | float | int | long | - | - |
| firstValue | first value | double | float | int | long | Binary | boolean |
| lastValue | last value | double | float | int | long | Binary | boolean |
| sumValue | sum value | double | double | double | double | - | - |
| Member | Type | Description |
|---|---|---|
| deviceID | String | Name of device |
| dataSize | long | Data size of the ChunkGroup |
| numberOfChunks | int | Number of chunks |
The first part of metadata is ChunkMetadata
| Member | Type | Description |
|---|---|---|
| measurementUid | String | Name of measurement |
| offsetOfChunkHeader | long | Start offset of ChunkHeader |
| tsDataType | TSDataType | Data type |
| statistics | Statistics | Statistic values |
The second part of metadata is TimeseriesMetadata.
| Member | Type | Description |
|---|---|---|
| measurementUid | String | Name of measurement |
| tsDataType | short | Data type |
| startOffsetOfChunkMetadataList | long | Start offset of ChunkMetadata list |
| chunkMetaDataListDataSize | int | ChunkMetadata list size |
| statistics | Statistics | Statistic values |
The third part of metadata is TsFileMetaData.
| Member | Type | Description |
|---|---|---|
| MetadataIndex | MetadataIndexNode | MetadataIndex node |
| totalChunkNum | int | total chunk num |
| invalidChunkNum | int | invalid chunk num |
| versionInfo | List<Pair<Long, Long>> | version information |
| metaOffset | long | offset of MetaMarker.SEPARATOR |
| bloomFilter | BloomFilter | bloom filter |
MetadataIndexNode has members as below:
| Member | Type | Description |
|---|---|---|
| children | List | MetadataIndexEntry list |
| endOffset | long | EndOffset of this MetadataIndexNode |
| nodeType | MetadataIndexNodeType | MetadataIndexNode type |
MetadataIndexEntry has members as below:
| Member | Type | Description |
|---|---|---|
| name | String | Name of related device or measurement |
| offset | long | offset |
All MetadataIndexNode forms a metadata index tree, which consists of no more than two levels: device index level and measurement index level. In different situation, the tree could have different components. The MetadataIndexNodeType has four enums: INTERNAL_DEVICE, LEAF_DEVICE, INTERNAL_MEASUREMENT, LEAF_MEASUREMENT, which indicates the internal or leaf node of device index level and measurement index level respectively. Only the LEAF_MEASUREMENT nodes point to TimeseriesMetadata.
To describe the structure of metadata index tree more clearly, we will give four examples here in details.
The max degree of the metadata index tree (that is, the max number of each node's children) could be configured by users, and is 256 by default. In the examples below, we assume max_degree_of_index_node = 10 in the following examples.
5 devices with 5 measurements each: Since the numbers of devices and measurements are both no more than max_degree_of_index_node, the tree has only measurement index level by default. In this level, each MetadataIndexNode is composed of no more than 10 MetadataIndex entries. The root nonde is INTERNAL_MEASUREMENT type, and the 5 MetadataIndex entries point to MetadataIndex nodes of related devices. These nodes point to TimeseriesMetadata directly, as they are LEAF_MEASUREMENT type.
1 device with 150 measurements: The number of measurements exceeds max_degree_of_index_node, so the tree has only measurement index level by default. In this level, each MetadataIndexNode is composed of no more than 10 MetadataIndex entries. The nodes that point to TimeseriesMetadata directly are LEAF_MEASUREMENT type. Other nodes and root node of index tree are not leaf nodes of measurement index level, so they are INTERNAL_MEASUREMENT type.
150 device with 1 measurement each: The number of devices exceeds max_degree_of_index_node, so the device index level and measurement index level of the tree are both formed. In these two levels, each MetadataIndexNode is composed of no more than 10 MetadataIndex entries. The nodes that point to TimeseriesMetadata directly are LEAF_MEASUREMENT type. The root nodes of measurement index level are also the leaf nodes of device index level, which are LEAF_DEVICE type. Other nodes and root node of index tree are not leaf nodes of device index level, so they are INTERNAL_DEVICE type.
150 device with 150 measurements each: The numbers of devices and measurements both exceed max_degree_of_index_node, so the device index level and measurement index level are both formed. In these two levels, each MetadataIndexNode is composed of no more than 10 MetadataIndex entries. As is described before, from the root node to the leaf nodes of device index level, their types are INTERNAL_DEVICE and LEAF_DEVICE; each leaf node of device index level can be seen as the root node of measurement index level, and from here to the leaf nodes of measurement index level, their types are INTERNAL_MEASUREMENT and LEAF_MEASUREMENT.
The MetadataIndex is designed as tree structure so that not all the TimeseriesMetadata need to be read when the number of devices or measurements is too large. Only reading specific MetadataIndex nodes according to requirement and reducing I/O could speed up the query. More reading process of TsFile in details will be described in the last section of this chapter.
After the TsFileMetaData, there is an int indicating the size of the TsFileMetaData.
A TsFile ends with a 6-byte magic string (TsFile).
Congratulations! You have finished the journey of discovering TsFile.
After building the server, the startup script of this tool will appear under the server\target\iotdb-server-0.10.0\tools\tsfileToolSet directory.
Command:
For Windows:
.\print-iotdb-data-dir.bat <path of your IoTDB data directory or directories separated by comma> (<path of the file for saving the output result>)
For Linux or MacOs:
./print-iotdb-data-dir.sh <path of your IoTDB data directory or directories separated by comma> (<path of the file for saving the output result>)
An example on Windows:
D:\iotdb\server\target\iotdb-server-0.12.0-SNAPSHOT\tools\tsfileToolSet>.\print-iotdb-data-dir.bat D:\\data\data |```````````````````````` Starting Printing the IoTDB Data Directory Overview |```````````````````````` output save path:IoTDB_data_dir_overview.txt TsFile data dir num:1 21:17:38.841 [main] WARN org.apache.iotdb.tsfile.common.conf.TSFileDescriptor - Failed to find config file iotdb-engine.properties at classpath, use default configuration |============================================================== |D:\\data\data |--sequence | |--root.ln.wf01.wt01 | | |--1575813520203-101-0.tsfile | | |--1575813520203-101-0.tsfile.resource | | | |--device root.ln.wf01.wt01, start time 1 (1970-01-01T08:00:00.001+08:00[GMT+08:00]), end time 5 (1970-01-01T08:00:00.005+08:00[GMT+08:00]) | | |--1575813520669-103-0.tsfile | | |--1575813520669-103-0.tsfile.resource | | | |--device root.ln.wf01.wt01, start time 100 (1970-01-01T08:00:00.100+08:00[GMT+08:00]), end time 300 (1970-01-01T08:00:00.300+08:00[GMT+08:00]) | | |--1575813521372-107-0.tsfile | | |--1575813521372-107-0.tsfile.resource | | | |--device root.ln.wf01.wt01, start time 500 (1970-01-01T08:00:00.500+08:00[GMT+08:00]), end time 540 (1970-01-01T08:00:00.540+08:00[GMT+08:00]) |--unsequence | |--root.ln.wf01.wt01 | | |--1575813521063-105-0.tsfile | | |--1575813521063-105-0.tsfile.resource | | | |--device root.ln.wf01.wt01, start time 10 (1970-01-01T08:00:00.010+08:00[GMT+08:00]), end time 50 (1970-01-01T08:00:00.050+08:00[GMT+08:00]) |==============================================================
After building the server, the startup script of this tool will appear under the server\target\iotdb-server-0.10.0\tools\tsfileToolSet directory.
Command:
For Windows:
.\print-tsfile-resource-files.bat <path of your TsFileResource directory>
For Linux or MacOs:
./print-tsfile-resource-files.sh <path of your TsFileResource directory>
An example on Windows:
D:\iotdb\server\target\iotdb-server-0.10.0\tools\tsfileToolSet>.\print-tsfile-resource-files.bat D:\data\data\sequence\root.vehicle |```````````````````````` Starting Printing the TsFileResources |```````````````````````` 12:31:59.861 [main] WARN org.apache.iotdb.db.conf.IoTDBDescriptor - Cannot find IOTDB_HOME or IOTDB_CONF environment variable when loading config file iotdb-engine.properties, use default configuration analyzing D:\data\data\sequence\root.vehicle\1572496142067-101-0.tsfile ... device root.vehicle.d0, start time 3000 (1970-01-01T08:00:03+08:00[GMT+08:00]), end time 100999 (1970-01-01T08:01:40.999+08:00[GMT+08:00]) analyzing the resource file finished.
After building the server, the startup script of this tool will appear under the server\target\iotdb-server-0.10.0\tools\tsfileToolSet directory.
Command:
For Windows:
.\print-tsfile-sketch.bat <path of your TsFile> (<path of the file for saving the output result>)
<path of the file for saving the output result> is not set, the default path “TsFile_sketch_view.txt” will be used.For Linux or MacOs:
./print-tsfile-sketch.sh <path of your TsFile> (<path of the file for saving the output result>)
<path of the file for saving the output result> is not set, the default path “TsFile_sketch_view.txt” will be used.An example on macOS:
/iotdb/server/target/iotdb-server-0.10.0/tools/tsfileToolSet$ ./print-tsfile-sketch.sh test.tsfile |```````````````````````` Starting Printing the TsFile Sketch |```````````````````````` TsFile path:test.tsfile Sketch save path:TsFile_sketch_view.txt -------------------------------- TsFile Sketch -------------------------------- file path: test.tsfile file length: 33436 POSITION| CONTENT -------- ------- 0| [magic head] TsFile 6| [version number] 000002 ||||||||||||||||||||| [Chunk Group] of root.group_12.d2, num of Chunks:3 12| [Chunk] of s_INT64e_RLE, numOfPoints:10000, time range:[1,10000], tsDataType:INT64, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 2 pages 677| [Chunk] of s_INT64e_TS_2DIFF, numOfPoints:10000, time range:[1,10000], tsDataType:INT64, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 1 pages 1349| [Chunk] of s_INT64e_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:INT64, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 2 pages 5766| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d2 | [dataSize] 5754 | [num of chunks] 3 ||||||||||||||||||||| [Chunk Group] of root.group_12.d2 ends 5799| [Version Info] | [marker] 3 | [version] 102 ||||||||||||||||||||| [Chunk Group] of root.group_12.d1, num of Chunks:3 5808| [Chunk] of s_INT32e_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:INT32, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 1 pages 8231| [Chunk] of s_INT32e_TS_2DIFF, numOfPoints:10000, time range:[1,10000], tsDataType:INT32, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 1 pages 8852| [Chunk] of s_INT32e_RLE, numOfPoints:10000, time range:[1,10000], tsDataType:INT32, startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0] | [marker] 1 | [ChunkHeader] | 1 pages 9399| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d1 | [dataSize] 3591 | [num of chunks] 3 ||||||||||||||||||||| [Chunk Group] of root.group_12.d1 ends 9432| [Version Info] | [marker] 3 | [version] 102 ||||||||||||||||||||| [Chunk Group] of root.group_12.d0, num of Chunks:2 9441| [Chunk] of s_BOOLEANe_RLE, numOfPoints:10000, time range:[1,10000], tsDataType:BOOLEAN, startTime: 1 endTime: 10000 count: 10000 [firstValue:true,lastValue:true] | [marker] 1 | [ChunkHeader] | 1 pages 9968| [Chunk] of s_BOOLEANe_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:BOOLEAN, startTime: 1 endTime: 10000 count: 10000 [firstValue:true,lastValue:true] | [marker] 1 | [ChunkHeader] | 1 pages 10961| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d0 | [dataSize] 1520 | [num of chunks] 2 ||||||||||||||||||||| [Chunk Group] of root.group_12.d0 ends 10994| [Version Info] | [marker] 3 | [version] 102 ||||||||||||||||||||| [Chunk Group] of root.group_12.d5, num of Chunks:1 11003| [Chunk] of s_TEXTe_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:TEXT, startTime: 1 endTime: 10000 count: 10000 [firstValue:version_test,lastValue:version_test] | [marker] 1 | [ChunkHeader] | 3 pages 19278| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d5 | [dataSize] 8275 | [num of chunks] 1 ||||||||||||||||||||| [Chunk Group] of root.group_12.d5 ends 19311| [Version Info] | [marker] 3 | [version] 102 ||||||||||||||||||||| [Chunk Group] of root.group_12.d4, num of Chunks:4 19320| [Chunk] of s_DOUBLEe_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:DOUBLE, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00000000123] | [marker] 1 | [ChunkHeader] | 2 pages 23740| [Chunk] of s_DOUBLEe_TS_2DIFF, numOfPoints:10000, time range:[1,10000], tsDataType:DOUBLE, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000002045] | [marker] 1 | [ChunkHeader] | 1 pages 24414| [Chunk] of s_DOUBLEe_GORILLA, numOfPoints:10000, time range:[1,10000], tsDataType:DOUBLE, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000002045] | [marker] 1 | [ChunkHeader] | 1 pages 25054| [Chunk] of s_DOUBLEe_RLE, numOfPoints:10000, time range:[1,10000], tsDataType:DOUBLE, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000001224] | [marker] 1 | [ChunkHeader] | 2 pages 25717| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d4 | [dataSize] 6397 | [num of chunks] 4 ||||||||||||||||||||| [Chunk Group] of root.group_12.d4 ends 25750| [Version Info] | [marker] 3 | [version] 102 ||||||||||||||||||||| [Chunk Group] of root.group_12.d3, num of Chunks:4 25759| [Chunk] of s_FLOATe_GORILLA, numOfPoints:10000, time range:[1,10000], tsDataType:FLOAT, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858] | [marker] 1 | [ChunkHeader] | 1 pages 26375| [Chunk] of s_FLOATe_PLAIN, numOfPoints:10000, time range:[1,10000], tsDataType:FLOAT, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858] | [marker] 1 | [ChunkHeader] | 1 pages 28796| [Chunk] of s_FLOATe_RLE, numOfPoints:10000, time range:[1,10000], tsDataType:FLOAT, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858] | [marker] 1 | [ChunkHeader] | 1 pages 29343| [Chunk] of s_FLOATe_TS_2DIFF, numOfPoints:10000, time range:[1,10000], tsDataType:FLOAT, startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858] | [marker] 1 | [ChunkHeader] | 1 pages 29967| [Chunk Group Footer] | [marker] 0 | [deviceID] root.group_12.d3 | [dataSize] 4208 | [num of chunks] 4 ||||||||||||||||||||| [Chunk Group] of root.group_12.d3 ends 30000| [Version Info] | [marker] 3 | [version] 102 30009| [marker] 2 30010| [ChunkMetadataList] of root.group_12.d0.s_BOOLEANe_PLAIN, tsDataType:BOOLEAN | [startTime: 1 endTime: 10000 count: 10000 [firstValue:true,lastValue:true]] 30066| [ChunkMetadataList] of root.group_12.d0.s_BOOLEANe_RLE, tsDataType:BOOLEAN | [startTime: 1 endTime: 10000 count: 10000 [firstValue:true,lastValue:true]] 30120| [ChunkMetadataList] of root.group_12.d1.s_INT32e_PLAIN, tsDataType:INT32 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30196| [ChunkMetadataList] of root.group_12.d1.s_INT32e_RLE, tsDataType:INT32 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30270| [ChunkMetadataList] of root.group_12.d1.s_INT32e_TS_2DIFF, tsDataType:INT32 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30349| [ChunkMetadataList] of root.group_12.d2.s_INT64e_PLAIN, tsDataType:INT64 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30441| [ChunkMetadataList] of root.group_12.d2.s_INT64e_RLE, tsDataType:INT64 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30531| [ChunkMetadataList] of root.group_12.d2.s_INT64e_TS_2DIFF, tsDataType:INT64 | [startTime: 1 endTime: 10000 count: 10000 [minValue:1,maxValue:1,firstValue:1,lastValue:1,sumValue:10000.0]] 30626| [ChunkMetadataList] of root.group_12.d3.s_FLOATe_GORILLA, tsDataType:FLOAT | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858]] 30704| [ChunkMetadataList] of root.group_12.d3.s_FLOATe_PLAIN, tsDataType:FLOAT | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858]] 30780| [ChunkMetadataList] of root.group_12.d3.s_FLOATe_RLE, tsDataType:FLOAT | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858]] 30854| [ChunkMetadataList] of root.group_12.d3.s_FLOATe_TS_2DIFF, tsDataType:FLOAT | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00023841858]] 30933| [ChunkMetadataList] of root.group_12.d4.s_DOUBLEe_GORILLA, tsDataType:DOUBLE | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000002045]] 31028| [ChunkMetadataList] of root.group_12.d4.s_DOUBLEe_PLAIN, tsDataType:DOUBLE | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.00000000123]] 31121| [ChunkMetadataList] of root.group_12.d4.s_DOUBLEe_RLE, tsDataType:DOUBLE | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000001224]] 31212| [ChunkMetadataList] of root.group_12.d4.s_DOUBLEe_TS_2DIFF, tsDataType:DOUBLE | [startTime: 1 endTime: 10000 count: 10000 [minValue:1.1,maxValue:1.1,firstValue:1.1,lastValue:1.1,sumValue:11000.000000002045]] 31308| [ChunkMetadataList] of root.group_12.d5.s_TEXTe_PLAIN, tsDataType:TEXT | [startTime: 1 endTime: 10000 count: 10000 [firstValue:version_test,lastValue:version_test]] 32840| [MetadataIndex] of root.group_12.d0 32881| [MetadataIndex] of root.group_12.d1 32920| [MetadataIndex] of root.group_12.d2 32959| [MetadataIndex] of root.group_12.d3 33000| [MetadataIndex] of root.group_12.d4 33042| [MetadataIndex] of root.group_12.d5 33080| [TsFileMetadata] | [num of devices] 6 | 6 key&TsMetadataIndex | [totalChunkNum] 17 | [invalidChunkNum] 0 | [bloom filter bit vector byte array length] 32 | [bloom filter bit vector byte array] | [bloom filter number of bits] 256 | [bloom filter number of hash functions] 5 33426| [TsFileMetadataSize] 346 33430| [magic tail] TsFile 33436| END of TsFile ---------------------------------- TsFile Sketch End ----------------------------------
You can also use example/tsfile/org/apache/iotdb/tsfile/TsFileSequenceRead to sequentially print a TsFile's content.