By following tutorial at http://druid.io/docs/latest/tutorials/tutorial-loading-streaming-data.html , I was able to insert data into druid via Kafka console
Kafka console
The spec file looks as following
examples/indexing/wikipedia.spec
[
{
"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" : {
"type" : "uniform",
"segmentGranularity" : "DAY",
"queryGranularity" : "NONE"
}
},
"ioConfig" : {
"type" : "realtime",
"firehose": {
"type": "kafka-0.8",
"consumerProps": {
"zookeeper.connect": "localhost:2181",
"zookeeper.connection.timeout.ms" : "15000",
"zookeeper.session.timeout.ms" : "15000",
"zookeeper.sync.time.ms" : "5000",
"group.id": "druid-example",
"fetch.message.max.bytes" : "1048586",
"auto.offset.reset": "largest",
"auto.commit.enable": "false"
},
"feed": "wikipedia"
},
"plumber": {
"type": "realtime"
}
},
"tuningConfig": {
"type" : "realtime",
"maxRowsInMemory": 500000,
"intermediatePersistPeriod": "PT10m",
"windowPeriod": "PT10m",
"basePersistDirectory": "\/tmp\/realtime\/basePersist",
"rejectionPolicy": {
"type": "messageTime"
}
}
}
]
I start realtime via
java -Xmx512m -Duser.timezone=UTC -Dfile.encoding=UTF-8 -Ddruid.realtime.specFile=examples/indexing/wikipedia.spec -classpath config/_common:config/realtime:lib/* io.druid.cli.Main server realtime
In Kafka console, I paste and enter the following
{"timestamp": "2013-08-10T01:02:33Z", "page": "Good Bye", "language" : "en", "user" : "catty", "unpatrolled" : "true", "newPage" : "true", "robot": "false", "anonymous": "false", "namespace":"article", "continent":"North America", "country":"United States", "region":"Bay Area", "city":"San Francisco", "added": 57, "deleted": 200, "delta": -143}
Then I tend to perform query by creating select.json and run curl -X POST 'http://localhost:8084/druid/v2/?pretty' -H 'content-type: application/json' -d #select.json
select.json
{
"queryType": "select",
"dataSource": "wikipedia",
"dimensions":[],
"metrics":[],
"granularity": "all",
"intervals": [
"2000-01-01/2020-01-02"
],
"filter" : {"type":"and",
"fields" : [
{ "type": "selector", "dimension": "user", "value": "catty" }
]
},
"pagingSpec":{"pagingIdentifiers": {}, "threshold":500}
}
I was able to get the following result.
[ {
"timestamp" : "2013-08-10T01:02:33.000Z",
"result" : {
"pagingIdentifiers" : {
"wikipedia_2013-08-10T00:00:00.000Z_2013-08-11T00:00:00.000Z_2013-08-10T00:00:00.000Z" : 0
},
"events" : [ {
"segmentId" : "wikipedia_2013-08-10T00:00:00.000Z_2013-08-11T00:00:00.000Z_2013-08-10T00:00:00.000Z",
"offset" : 0,
"event" : {
"timestamp" : "2013-08-10T01:02:33.000Z",
"continent" : "North America",
"robot" : "false",
"country" : "United States",
"city" : "San Francisco",
"newPage" : "true",
"unpatrolled" : "true",
"namespace" : "article",
"anonymous" : "false",
"language" : "en",
"page" : "Good Bye",
"region" : "Bay Area",
"user" : "catty",
"deleted" : 200.0,
"added" : 57.0,
"count" : 1,
"delta" : -143.0
}
} ]
}
} ]
It seem that I had setup Druid correctly.
Now, I would like to insert data via HTTP endpoint. According to How realtime data input to Druid?, it seems like recommended way is to use tranquility
tranquility
I have indexing service started via
java -Xmx2g -Duser.timezone=UTC -Dfile.encoding=UTF-8 -classpath config/_common:config/overlord:lib/*: io.druid.cli.Main server overlord
conf/server.json looks like
{
"dataSources" : [
{
"spec" : {
"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" : {
"type" : "uniform",
"segmentGranularity" : "DAY",
"queryGranularity" : "NONE"
}
},
"tuningConfig" : {
"windowPeriod" : "PT10M",
"type" : "realtime",
"intermediatePersistPeriod" : "PT10M",
"maxRowsInMemory" : "100000"
}
},
"properties" : {
"task.partitions" : "1",
"task.replicants" : "1"
}
}
],
"properties" : {
"zookeeper.connect" : "localhost",
"http.port" : "8200",
"http.threads" : "8"
}
}
Then, I start the server using
bin/tranquility server -configFile conf/server.json
I perform post to http://xx.xxx.xxx.xxx:8200/v1/post/wikipedia, with content-type equals application/json
{"timestamp": "2013-08-10T01:02:33Z", "page": "Selamat Pagi", "language" : "en", "user" : "catty", "unpatrolled" : "true", "newPage" : "true", "robot": "false", "anonymous": "false", "namespace":"article", "continent":"North America", "country":"United States", "region":"Bay Area", "city":"San Francisco", "added": 57, "deleted": 200, "delta": -143}
I get the the following respond
{"result":{"received":1,"sent":0}}
It seems that tranquility has received our data, but failed to send it to druid!
I try to run curl -X POST 'http://localhost:8084/druid/v2/?pretty' -H 'content-type: application/json' -d #select.json, but doesn't get the output I inserted via tranquility.
Any idea why? Thanks.
This generally happens when the data you send is out of the window period. If you are inserting data manually, give the exact current timestamp (UTC) in milliseconds. Else it can be easily done if you are using any script to generate data. Make sure it is UTC current time.
It is extremely difficult to setup druid to work properly with real-time data insertion.
The best bet I found is, use https://github.com/implydata . Imply is a set of wrappers around druid, to make it easy to use.
However, the real-time insertion in imply is not perfect either. I had experiment OutOfMemoryException, after inserting 30 millions items via real-time. This will caused data loss on previous inserted 30 millions rows.
The detailed regarding data loss can be found here : https://groups.google.com/forum/#!topic/imply-user-group/95xpYojxiOg
An issue ticket has been filed : https://github.com/implydata/distribution/issues/8
Druid streaming windowPeriod is very short (10 minutes). Outside this period, your event will be ignored.
As you got {"result":{"received":1,"sent":0}}, your worker threads are working fine. Tranquility decides what data is sent to the druid based on the timestamp associated with the data.
This period is decided by the "windowPeriod" configuration. So if your type is realtime ("type":"realtime") and window period is PT10M ("windowPeriod" : "PT10M"), tranquility will send any data between t-10, t+10 and not send anything outside this period.
I disagree with the insertion efficiency problems, we have been sending 3million rows every 15 minutes since June 2016 and has been running beautifully. Of course, we have a stronger infrastructure deemed for the scale.
Another reason for not inserting, is out memory on the coordinador/overloard are running
Related
I have setup druid and was able to run the tutorial at:Tutorial: Loading a file. I was also able to execute native json queries and get the results as described at : http://druid.io/docs/latest/tutorials/tutorial-query.html The druid setup is working fine.
I now want to ingest additional data from a Java program into this datasource. Is it possible to send data into druid using tranquility from a java program for a datasource created using batch load?
I tried the example program at : https://github.com/druid-io/tranquility/blob/master/core/src/test/java/com/metamx/tranquility/example/JavaExample.java
But this program just keeps running and doesn't show any output. how can druid be setup to accept data using tranquility core APIs?
Following are the ingestion specs and config file for tranquility:
wikipedia-index.json
{
"type" : "index",
"spec" : {
"dataSchema" : {
"dataSource" : "wikipedia",
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"dimensionsSpec" : {
"dimensions" : [
"channel",
"cityName",
"comment",
"countryIsoCode",
"countryName",
"isAnonymous",
"isMinor",
"isNew",
"isRobot",
"isUnpatrolled",
"metroCode",
"namespace",
"page",
"regionIsoCode",
"regionName",
"user",
{ "name": "added", "type": "long" },
{ "name": "deleted", "type": "long" },
{ "name": "delta", "type": "long" }
]
},
"timestampSpec": {
"column": "time",
"format": "iso"
}
}
},
"metricsSpec" : [],
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "day",
"queryGranularity" : "none",
"intervals" : ["2015-09-12/2015-09-13"],
"rollup" : false
}
},
"ioConfig" : {
"type" : "index",
"firehose" : {
"type" : "local",
"baseDir" : "quickstart/",
"filter" : "wikiticker-2015-09-12-sampled.json.gz"
},
"appendToExisting" : false
},
"tuningConfig" : {
"type" : "index",
"targetPartitionSize" : 5000000,
"maxRowsInMemory" : 25000,
"forceExtendableShardSpecs" : true
}
}
}
example.json (tranquility config):
{
"dataSources" : [
{
"spec" : {
"dataSchema" : {
"dataSource" : "wikipedia",
"metricsSpec" : [
{ "type" : "count", "name" : "count" }
],
"granularitySpec" : {
"segmentGranularity" : "hour",
"queryGranularity" : "none",
"type" : "uniform"
},
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"timestampSpec" : { "column": "time", "format": "iso" },
"dimensionsSpec" : {
"dimensions" : ["channel",
"cityName",
"comment",
"countryIsoCode",
"countryName",
"isAnonymous",
"isMinor",
"isNew",
"isRobot",
"isUnpatrolled",
"metroCode",
"namespace",
"page",
"regionIsoCode",
"regionName",
"user",
{ "name": "added", "type": "long" },
{ "name": "deleted", "type": "long" },
{ "name": "delta", "type": "long" }]
}
}
}
},
"tuningConfig" : {
"type" : "realtime",
"windowPeriod" : "PT10M",
"intermediatePersistPeriod" : "PT10M",
"maxRowsInMemory" : "100000"
}
},
"properties" : {
"task.partitions" : "1",
"task.replicants" : "1"
}
}
],
"properties" : {
"zookeeper.connect" : "localhost"
}
}
I did not find any example on setting up a datasource on druid which accepts continuously accepts data from a java program. I don't want to use Kafka. Any pointers on this would be greatly appreciated.
You need to create the data files with the additional data first and than run the ingestion task with new fields, You can't edit the same record in druid, It overwrites to new record.
I am a newbie in druid. Trying to load a very simple data in JSON format to druid. The data contains just one dimension, one metric and timestamp. I have been successfully able to load data to druid for a different dataset but somehow I am getting errors for this dataset.
This is my index file :
{
"type" : "index",
"spec" : {
"dataSchema" : {
"dataSource" : "datatemplate",
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"dimensionsSpec" : {
"dimensions" : [
"Loc"
]
},
"timestampSpec" : {
"format" : "auto",
"column" : "Timestamp"
}
}
},
"metricsSpec" : [{"name" : "Qty","type" : "doubleSum","fieldName" : "Qty"}],
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "day",
"queryGranularity" : "none",
"intervals" : ["2016-01-01T00:00:00Z/2030-06-30T00:00:00Z"],
"rollup" : true
}
},
"ioConfig" : {
"type" : "index",
"firehose" : {
"type" : "local",
"baseDir" : "datatemplate/",
"filter" : "datatemplate.json"
},
"appendToExisting" : false
},
"tuningConfig" : {
"type" : "index",
"targetPartitionSize" : 10000000,
"maxRowsInMemory" : 40000,
"forceExtendableShardSpecs" : true
}
}
}
Also here is my dataset in JSON format:
{"Loc": "A", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "A", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "B", "Qty": "2", "Timestamp": "2017-12-01T00:00:00Z"}
{"Loc": "B", "Qty": "1", "Timestamp": "2017-12-01T00:00:00Z"}
I need to upload data to an existing model. This has to be done on daily basis. I guess some changes needs to be done in the index file and i am not able to figure out. I tried pushing the data with the same model name but the parent data was removed.
Any help would be appreciated.
Here is the ingestion json file :
{
"type" : "index",
"spec" : {
"dataSchema" : {
"dataSource" : "mksales",
"parser" : {
"type" : "string",
"parseSpec" : {
"format" : "json",
"dimensionsSpec" : {
"dimensions" : ["Address",
"City",
"Contract Name",
"Contract Sub Type",
"Contract Type",
"Customer Name",
"Domain",
"Nation",
"Contract Start End Date",
"Zip",
"Sales Rep Name"
]
},
"timestampSpec" : {
"format" : "auto",
"column" : "time"
}
}
},
"metricsSpec" : [
{ "type" : "count", "name" : "count", "type" : "count" },
{"name" : "Price","type" : "doubleSum","fieldName" : "Price"},
{"name" : "Sales","type" : "doubleSum","fieldName" : "Sales"},
{"name" : "Units","type" : "longSum","fieldName" : "Units"}],
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "day",
"queryGranularity" : "none",
"intervals" : ["2000-12-01T00:00:00Z/2030-06-30T00:00:00Z"],
"rollup" : true
}
},
"ioConfig" : {
"type" : "index",
"firehose" : {
"type" : "local",
"baseDir" : "mksales/",
"filter" : "mksales.json"
},
"appendToExisting" : false
},
"tuningConfig" : {
"type" : "index",
"targetPartitionSize" : 10000000,
"maxRowsInMemory" : 40000,
"forceExtendableShardSpecs" : true
}
}
}
There are 2 ways using which you can append/update the data to an existing segment.
Reindexing and Delta Ingestion
You need to reindex your data every time new data comes in a particular segment.(In your case its day) For the reindexing you need to give all the files having data for that day.
For Delta Ingestion you need to use inputSpec type="multi"
You can refer the documentation link for more details - http://druid.io/docs/latest/ingestion/update-existing-data.html
The scenario is i want to setup a stock quote server and save the quote data into druid.
my requirement is to get the latest price of all the stock by a query.
But i notice that the query interface of druid such as time series only work on metrics filed ,not the dimension fields.
so i consider to make the price filed one of the metrics,but no need to aggregated.
how can i do it?
Any suggestions?
here is my tranquility config file.
{
"dataSources" : {
"stock-index-topic" : {
"spec" : {
"dataSchema" : {
"dataSource" : "stock-index-topic",
"parser" : {
"type" : "string",
"parseSpec" : {
"timestampSpec" : {
"column" : "timestamp",
"format" : "auto"
},
"dimensionsSpec" : {
"dimensions" : ["code","name","acronym","market","tradeVolume","totalValueTraded","preClosePx","openPrice","highPrice","lowPrice","latestPrice","closePx"],
"dimensionExclusions" : [
"timestamp",
"value"
]
},
"format" : "json"
}
},
"granularitySpec" : {
"type" : "uniform",
"segmentGranularity" : "HOUR",
"queryGranularity" : "SECOND",
},
"metricsSpec" : [
{
"name" : "firstPrice",
"type" : "doubleFirst",
"fieldName" : "tradePrice"
},{
"name" : "lastPrice",
"type" : "doubleLast",
"fieldName" : "tradePrice"
}, {
"name" : "minPrice",
"type" : "doubleMin",
"fieldName" : "tradePrice"
}, {
"name" : "maxPrice",
"type" : "doubleMax",
"fieldName" : "tradePrice"
}
]
},
"ioConfig" : {
"type" : "realtime"
},
"tuningConfig" : {
"type" : "realtime",
"maxRowsInMemory" : "100000",
"intermediatePersistPeriod" : "PT10M",
"windowPeriod" : "PT10M"
}
},
"properties" : {
"task.partitions" : "1",
"task.replicants" : "1",
"topicPattern" : "stock-index-topic"
}
}
},
"properties" : {
"zookeeper.connect" : "localhost:2181",
"druid.discovery.curator.path" : "/druid/discovery",
"druid.selectors.indexing.serviceName" : "druid/overlord",
"commit.periodMillis" : "15000",
"consumer.numThreads" : "2",
"kafka.zookeeper.connect" : "localhost:2181",
"kafka.group.id" : "tranquility-kafka"
}
}
I think you should make [latest_price] as new numeric dimension, it would be much better from performance and querying standpoint considering how druid works.
Metrics and meant to perform aggregation functions as core so won't be helpful in your use case.
I am evaluating Druid for my use case which ingest csv data through tranquility in real time. Following is the server configuration:-
{
"dataSources" : {
"audience" : {
"spec" : {
"dataSchema" : {
"dataSource" : "audience",
"parser" : {
"type" : "string",
"parseSpec":{
"format" : "csv",
"timestampSpec" : {
"column" : "timestamp"
},
"columns" : ["timestamp","partner_id","event_id","product_id","device_id","count"],
"dimensionsSpec" : {
"dimensions" : ["partner_id","event_id","product_id","device_id"]
}
}
},
"metricsSpec" : [{ "type" : "longSum", "name" : total, "fieldName" : "count" }],
"granularitySpec" : {
"segmentGranularity" : "HOUR",
"queryGranularity" : "HOUR",
"intervals" : [ "2013-08-31/2013-09-01" ]
}
},
"ioConfig" : {
"type" : "realtime"
},
"tuningConfig" : {
"type" : "realtime",
"maxRowsInMemory" : "100000",
"intermediatePersistPeriod" : "PT10M",
"windowPeriod" : "PT10M"
}
},
"properties" : {
"task.partitions" : "1",
"task.replicants" : "1"
}
}
},
"properties" : {
"zookeeper.connect" : "localhost",
"druid.discovery.curator.path" : "/druid/discovery",
"druid.selectors.indexing.serviceName" : "druid/overlord",
"http.port" : "8200",
"http.threads" : "8"
}
}
data is generated randomly by a python script as:-
1471336991,1,960,136,3ZLA7,1
1471336991,1,369,367,8MP2B,1
1471336991,2,544,550,C9ZG8,1
1471336991,1,135,394,XFX31,1
1471336991,2,590,552,VXMTL,1
1471336991,1,493,615,0C2HR,1
1471336991,2,435,710,HKYP0,1
1471336991,1,394,483,V2HP9,1
1471336991,2,441,376,J1LYO,1
Following commands submits the data and returns {"result":{"received":1000,"sent":0}}
python createData.py |curl -XPOST -H'Content-Type: text/plain' --data-binary #- http://localhost:8200/v1/post/audience.
Finally able to solve the problem. Actually I was sending time to Druid in Epoch time format, but it expect ISO-8601 format. In python one can easily get so by :-
datetime.datetime.utcnow().isoformat()
Druid supports multiple time formats which can be specified in the "timestampSpec" property.
The Druid documentation lists the following timestamp formats: "iso, millis, posix, auto or any Joda time format."
For example, to send time in milliseconds:
"timestampSpec" : {
"column" : "timestamp",
"format" : "millis"
}
A couple of things
Use ISO 8601 Datetime format
Make sure the written timestamp is within +/- 10Mins of the current hour