Ingestion Spec
A Druid ingestion spec consists of 3 components:
{
"dataSchema" : {...}
"ioConfig" : {...}
"tuningConfig" : {...}
}
Field |
Type |
Description |
Required |
dataSchema |
JSON Object |
Specifies the the schema of the incoming data. All ingestion specs can share the same dataSchema. |
yes |
ioConfig |
JSON Object |
Specifies where the data is coming from and where the data is going. This object will vary with the ingestion method. |
yes |
tuningConfig |
JSON Object |
Specifies how to tune various ingestion parameters. This object will vary with the ingestion method. |
no |
DataSchema
An example dataSchema is shown below:
"dataSchema" : {
"dataSource" : "wikipedia",
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"timestampSpec" : {
"column" : "timestamp",
"format" : "auto"
},
"dimensionsSpec" : {
"dimensions": ["page","language","user","unpatrolled","newPage","robot","anonymous","namespace","continent","country","region","city"],
"dimensionExclusions" : [],
"spatialDimensions" : []
}
}
},
"metricsSpec" : [{
"type" : "count",
"name" : "count"
}, {
"type" : "doubleSum",
"name" : "added",
"fieldName" : "added"
}, {
"type" : "doubleSum",
"name" : "deleted",
"fieldName" : "deleted"
}, {
"type" : "doubleSum",
"name" : "delta",
"fieldName" : "delta"
}],
"granularitySpec" : {
"segmentGranularity" : "DAY",
"queryGranularity" : "NONE",
"intervals" : [ "2013-08-31/2013-09-01" ]
}
}
Field |
Type |
Description |
Required |
dataSource |
String |
The name of the ingested datasource. Datasources can be thought of as tables. |
yes |
parser |
JSON Object |
Specifies how ingested data can be parsed. |
yes |
metricsSpec |
JSON Object array |
A list of aggregators. |
yes |
granularitySpec |
JSON Object |
Specifies how to create segments and roll up data. |
yes |
Parser
If type
is not included, the parser defaults to string
.
String Parser
Field |
Type |
Description |
Required |
type |
String |
This should say string . |
no |
parseSpec |
JSON Object |
Specifies the format of the data. |
yes |
Protobuf Parser
Field |
Type |
Description |
Required |
type |
String |
This should say protoBuf . |
no |
parseSpec |
JSON Object |
Specifies the format of the data. |
yes |
ParseSpec
If type
is not included, the parseSpec defaults to tsv
.
JSON ParseSpec
Field |
Type |
Description |
Required |
type |
String |
This should say json . |
no |
timestampSpec |
JSON Object |
Specifies the column and format of the timestamp. |
yes |
dimensionsSpec |
JSON Object |
Specifies the dimensions of the data. |
yes |
JSON Lowercase ParseSpec
This is a special variation of the JSON ParseSpec that lower cases all the column names in the incoming JSON data. This parseSpec is required if you are updating to Druid 0.7.x from Druid 0.6.x, are directly ingesting JSON with mixed case column names, do not have any ETL in place to lower case those column names, and would like to make queries that include the data you created using 0.6.x and 0.7.x.
Field |
Type |
Description |
Required |
type |
String |
This should say jsonLowercase . |
yes |
timestampSpec |
JSON Object |
Specifies the column and format of the timestamp. |
yes |
dimensionsSpec |
JSON Object |
Specifies the dimensions of the data. |
yes |
CSV ParseSpec
Field |
Type |
Description |
Required |
type |
String |
This should say csv . |
yes |
timestampSpec |
JSON Object |
Specifies the column and format of the timestamp. |
yes |
dimensionsSpec |
JSON Object |
Specifies the dimensions of the data. |
yes |
listDelimiter |
String |
A custom delimiter for multi-value dimensions. |
no (default == ctrl+A) |
columns |
JSON array |
Specifies the columns of the data. |
yes |
TSV ParseSpec
Field |
Type |
Description |
Required |
type |
String |
This should say tsv . |
yes |
timestampSpec |
JSON Object |
Specifies the column and format of the timestamp. |
yes |
dimensionsSpec |
JSON Object |
Specifies the dimensions of the data. |
yes |
delimiter |
String |
A custom delimiter for data values. |
no (default == \t) |
listDelimiter |
String |
A custom delimiter for multi-value dimensions. |
no (default == ctrl+A) |
columns |
JSON String array |
Specifies the columns of the data. |
yes |
Timestamp Spec
Field |
Type |
Description |
Required |
column |
String |
The column of the timestamp. |
yes |
format |
String |
iso, millis, posix, auto or any Joda time format. |
no (default == 'auto' |
DimensionsSpec
Field |
Type |
Description |
Required |
dimensions |
JSON String array |
The names of the dimensions. |
yes |
dimensionExclusions |
JSON String array |
The names of dimensions to exclude from ingestion. |
no (default == [] |
spatialDimensions |
JSON Object array |
An array of spatial dimensions |
no (default == [] |
GranularitySpec
Field |
Type |
Description |
Required |
segmentGranularity |
string |
The granularity to create segments at. |
no (default == 'DAY') |
queryGranularity |
string |
The minimum granularity to be able to query results at and the granularity of the data inside the segment. E.g. a value of "minute" will mean that data is aggregated at minutely granularity. That is, if there are collisions in the tuple (minute(timestamp), dimensions), then it will aggregate values together using the aggregators instead of storing individual rows. |
no (default == 'NONE') |
intervals |
string |
A list of intervals for the raw data being ingested. Ignored for real-time ingestion. |
yes for batch, no for real-time |
IO Config
Real-time Ingestion: See Real-time ingestion.
Batch Ingestion: See Batch ingestion
Ingestion Spec
Real-time Ingestion: See Real-time ingestion.
Batch Ingestion: See Batch ingestion