/* ---[ Opacity: A brief rant ]--- */
Despite the popularity of Hadoop and its ecosystem, I've found that much of it is frustratingly underdocumented or at best opaquely documented. An example proof of this is the O'Reilly Programming Hive book, whose authors say they wrote it because so much of Hive is poorly documented and exists only in the heads of its developer community.
But even the Programming Hive book lacks good information on how to effectively use Hive with JSON records, so I'm cataloging my findings here.
/* ---[ JSON and Hive: What I've found ]--- */
I've only been playing with Hive about two weeks now, but here's what I found with respect to using complex JSON documents with Hive.
Hive has two built-in functions, get_json_object
and json_tuple
, for dealing with JSON. There are also a couple of JSON SerDe's (Serializer/Deserializers) for Hive. I like this one the best: https://github.com/rcongiu/Hive-JSON-Serde
I will document using these three options here.
Let's start with a simple JSON document and then move to a complex document with nested subdocuments and arrays of subdocuments.
Here's the first document:
{ "Foo": "ABC", "Bar": "20090101100000", "Quux": { "QuuxId": 1234, "QuuxName": "Sam" } }
We are going to store this as a Text document, so it is best to have the whole JSON entry on a single line in the text file you point the Hive table to.
Here it is on one line for easy copy and pasting:
{"Foo":"ABC","Bar":"20090101100000","Quux":{"QuuxId":1234,"QuuxName":"Sam"}}
Let's create a Hive table to reference this. I've put the above document in a file called simple.json:
CREATE TABLE json_table ( json string ); LOAD DATA LOCAL INPATH '/tmp/simple.json' INTO TABLE json_table;
Since there are no delimiters, we leave off the ROW FORMAT section of the table DDL
Built in function #1: get_json_object
The get_json_object
takes two arguments: tablename.fieldname and the JSON field to parse, where '$' represents the root of the document.
select get_json_object(json_table.json, '$') from json_table;
Returns the full JSON document.
So do this to query all the fields:
select get_json_object(json_table.json, '$.Foo') as foo, get_json_object(json_table.json, '$.Bar') as bar, get_json_object(json_table.json, '$.Quux.QuuxId') as qid, get_json_object(json_table.json, '$.Quux.QuuxName') as qname from json_table;
You should get the output:
foo bar qid qname
ABC 20090101100000 1234 Sam
(Note: to get the header fields, enter set hive.cli.print.header=true
at the hive prompt or in your $HOME/.hiverc
file.)
This works and has a nice JavaScript like "dotted" notation, but notice that you have to parse the same document once for every field you want to pull out of your JSON document, so it is rather inefficient.
The Hive wiki recommends using json_tuple
for this reason.
Built in function #2: json_tuple
So let's see what json_tuple
looks like. It has the benefit of being able to pass in multiple fields, but it only works to a single level deep. You also need to use Hive's slightly odd LATERAL VIEW
notation:
select v.foo, v.bar, v.quux, v.qid from json_table jt LATERAL VIEW json_tuple(jt.json, 'Foo', 'Bar', 'Quux', 'Quux.QuuxId') v as foo, bar, quux, qid;
This returns:
foo bar quux qid
ABC 20090101100000 {"QuuxId":1234,"QuuxName":"Sam"} NULL
It doesn't know how to look inside the Quux subdocument. And this is where json_tuple
gets clunky fast - you have to create another lateral view for each subdocument you want to descend into:
select v1.foo, v1.bar, v2.qid, v2.qname from json_table jt LATERAL VIEW json_tuple(jt.json, 'Foo', 'Bar', 'Quux') v1 as foo, bar, quux LATERAL VIEW json_tuple(v1.quux, 'QuuxId', 'QuuxName') v2 as qid, qname;
This gives us the output we want:
foo bar qid qname
ABC 20090101100000 1234 Sam
With a complicated highly nested JSON doc, json_tuple is also quite inefficient and clunky as hell. So let's turn to a custom SerDe to solve this problem.
The best option: rcongiu's Hive-JSON SerDe
A SerDe is a better choice than a json function (UDF) for at least two reasons:
- it only has to parse each JSON record once
- you can define the JSON schema in the Hive table schema, making it much easier to issue queries against.
I reviewed a couple of SerDe's and by far the best one I've found is rcongiu's Hive-JSON SerDe.
To get that SerDe, clone the project from GitHub and run mvn package
. It creates a json-serde-1.1.6.jar
in the target directory. If you have a place you like to put your jars for runtime referencing move it there.
Then tell Hive about it with:
ADD JAR /path/to/json-serde-1.1.6.jar;
You can do this either at the hive prompt or put it in your $HOME/.hiverc
file.
Now let's define the Hive schema that this SerDe expects and load the simple.json doc:
CREATE TABLE json_serde ( Foo string, Bar string, Quux struct<QuuxId:int, QuuxName:string> ) ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe'; LOAD DATA LOCAL INPATH '/tmp/simple.json' INTO TABLE json_serde;
With the openx JsonSerDe, you can define subdocuments as maps or structs. I prefer structs, as it allows you to use the convenient dotted-path notation (e.g., Quux.QuuxId) and you can match the case of the fields. With maps, all the keys you pass in have to be lowercase, even if you defined them as upper or mixed case in your JSON.
The query to match the above examples is beautifully simple:
SELECT Foo, Bar, Quux.QuuxId, Quux.QuuxName FROM json_serde;
Result:
foo bar quuxid quuxname
ABC 20090101100000 1234 Sam
And now let's do a more complex JSON document:
{ "DocId": "ABC", "User": { "Id": 1234, "Username": "sam1234", "Name": "Sam", "ShippingAddress": { "Address1": "123 Main St.", "Address2": null, "City": "Durham", "State": "NC" }, "Orders": [ { "ItemId": 6789, "OrderDate": "11/11/2012" }, { "ItemId": 4352, "OrderDate": "12/12/2012" } ] } }
Collapsed version:
{"DocId":"ABC","User":{"Id":1234,"Username":"sam1234","Name":"Sam","ShippingAddress":{"Address1":"123 Main St.","Address2":"","City":"Durham","State":"NC"},"Orders":[{"ItemId":6789,"OrderDate":"11/11/2012"},{"ItemId":4352,"OrderDate":"12/12/2012"}]}}
Hive Schema:
CREATE TABLE complex_json ( DocId string, User struct<Id:int, Username:string, Name: string, ShippingAddress:struct<Address1:string, Address2:string, City:string, State:string>, Orders:array<struct<ItemId:int, OrderDate:string>>> ) ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe';
Load the data:
LOAD DATA LOCAL INPATH '/tmp/complex.json' OVERWRITE INTO TABLE complex_json;
First let's query something from each document section. Since we know there are two orders in the orders array we can reference them both directly:
SELECT DocId, User.Id, User.ShippingAddress.City as city, User.Orders[0].ItemId as order0id, User.Orders[1].ItemId as order1id FROM complex_json;
Result:
docid id city order0id order1id
ABC 1234 Durham 6789 4352
But what if we don't know how many orders there are and we want a list of all a user's order Ids? This will work:
SELECT DocId, User.Id, User.Orders.ItemId FROM complex_json;
Result:
docid id itemid
ABC 1234 [6789,4352]
Oooh, it returns an array of ItemIds. Pretty cool. One of Hive's nice features.
Finally, does the openx JsonSerDe require me to define the whole schema? Or what if I have two JSON docs (say version 1 and version 2) where they differ in some fields? How constraining is this Hive schema definition?
Let's add two more JSON entries to our JSON document - the first has no orders; the second has a new "PostalCode" field in Shipping Address.
{ "DocId": "ABC", "User": { "Id": 1235, "Username": "fred1235", "Name": "Fred", "ShippingAddress": { "Address1": "456 Main St.", "Address2": "", "City": "Durham", "State": "NC" } } } { "DocId": "ABC", "User": { "Id": 1236, "Username": "larry1234", "Name": "Larry", "ShippingAddress": { "Address1": "789 Main St.", "Address2": "", "City": "Durham", "State": "NC", "PostalCode": "27713" }, "Orders": [ { "ItemId": 1111, "OrderDate": "11/11/2012" }, { "ItemId": 2222, "OrderDate": "12/12/2012" } ] } }
Collapsed version:
{"DocId":"ABC","User":{"Id":1235,"Username":"fred1235","Name":"Fred","ShippingAddress":{"Address1":"456 Main St.","Address2":"","City":"Durham","State":"NC"}}} {"DocId":"ABC","User":{"Id":1236,"Username":"larry1234","Name":"Larry","ShippingAddress":{"Address1":"789 Main St.","Address2":"","City":"Durham","State":"NC","PostalCode":"27713"},"Orders":[{"ItemId":1111,"OrderDate":"11/11/2012"},{"ItemId":2222,"OrderDate":"12/12/2012"}]}}
Add those records to complex.json and reload the data into the complex_json table.
Now try the query:
SELECT DocId, User.Id, User.Orders.ItemId FROM complex_json;
It works just fine and gives the result:
docid id itemid
ABC 1234 [6789,4352]
ABC 1235 null
ABC 1236 [1111,2222]
Any field not present will just return null, as Hive normally does even for non-JSON formats.
Note that we cannot query for User.ShippingAddress.PostalCode because we haven't put it on our Hive schema. You would have to revise the schema and then reissue the query.
/* ---[ A tool to automate creation of Hive JSON schemas ]--- */
One feature missing from the openx JSON SerDe is a tool to generate a schema from a JSON document. Creating a schema for a large complex, highly nested JSON document is quite tedious.
I've created a tool to automate this: https://github.com/midpeter444/hive-json-schema.
Thanks a bunch for this post!
ReplyDeleteI am not able to create jar. i found json-serde-1.1.6-jar-with-dependencies.jar in the target directory but not json-serde-1.1.6-SNAPSHOT.jar; can any you send me the jar.
ReplyDeleteThis comment has been removed by the author.
DeleteIt looks like rcongiu has updated his SerDe to generate 1.1.6, not 1.1.6-SNAPSHOT. Thanks for the warning. I've updated the blog. The instructions are basically the same. Just clone https://github.com/rcongiu/Hive-JSON-Serde, cd into the Hive-JSON-Serde and type 'mvn clean package' and use the json-serde-1.1.6.jar. You shouldn't need me to email to you.
DeleteGot it thanks..
DeleteHi,
DeleteAfter building the project with i got only json-serde-1.3.7-SNAPSHOT.jar in this path...json-serde-1.3.7-SNAPSHOT.jar. I haven't got the 1.1.6 JSON-serde jar. I am having the twitter data in the form of json data.
Sample Data
Please help me in this regard, thanks in advance.
hello, i was trying to save the serde file into hive/lib folder in cloud era, but it is not allowing me to save the file, here i tried so many types, but i could not have done successfully.
DeleteThis helped a lot. Thanks for the post
ReplyDeleteThanks a ton for this post and for the automation library....saved a lot of research and development time.
ReplyDeleteGreetings Michael !
ReplyDeleteThanks for the wonderful post. Btw, I'm working on a small use case wherein I want to parse the Amazon CloudTrail logs. The logs get stored in a S3 bucket and we have planned to use Hive to query these log files. The JSON log file uses the following format,
http://docs.aws.amazon.com/awscloudtrail/latest/userguide/eventreference.html
I used the above procedure which you had mentioned in your blog to generate the HiveQL schema and got the following statement,
java -jar json-hive-schema-1.0-jar-with-dependencies.jar /tmp/sample.json cloud_trail
CREATE TABLE cloud_trail (
records array>>>>>, nexttoken:string, reservedinstancesofferingsset:struc>>, responseelements:string, sourceipaddress:string, useragent:string, useridentity:struct>>)
ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe';
When I use this statement to create the table structure I hit the following error,
# hive
Hive history file=/tmp/root/hive_job_log_root_201311242319_917055133.txt
hive> ADD JAR /root/source/hive-serdes-1.0-SNAPSHOT.jar;
Added /root/source/hive-serdes-1.0-SNAPSHOT.jar to class path
Added resource: /root/source/hive-serdes-1.0-SNAPSHOT.jar
hive> CREATE TABLE cloud_trail (
> records array>>>>>, nexttoken:string, reservedinstancesofferingsset:struc>>, responseelements:string, sourceipaddress:string, useragent:string, useridentity:struct>>)
> ROW FORMAT SERDE 'org.openx.data.jsonserde.JsonSerDe';
FAILED: Parse Error: line 2:160 mismatched input 'items' expecting Identifier near '<' in column specification
So is the 'items' key from the JSON log file causing this exception as it seems to be a reserved keyword in Hive. Can you please provide your valuable inputs on the same ?
Thanks.
Can you post the one full JSON document with all the fields you want in the Hive schema to the GitHub project? You have fields listed above (e.g., "nexttoken", "reservedinstancesofferingsset", etc.) that I dont see listed on this page: http://docs.aws.amazon.com/awscloudtrail/latest/userguide/eventreference.html
DeletePlease post it as an issue on the GitHub project rather than here with the full error message and I'll take a look at it.
This is the most helpful JSON/Hive post I've come across, thanks for being so thorough, it has helped me immensely today.
ReplyDeleteGetting Following Error while buiding the package using mvn clean package
ReplyDelete[WARNING] The POM for org.apache.hive:hive-serde:jar:0.8.0-cdh4a1-SNAPSHOT is missing, no dependency information available
[WARNING] The POM for org.apache.hive:hive-exec:jar:0.8.0-cdh4a1-SNAPSHOT is missing, no dependency information available
[INFO] ------------------------------------------------------------------------
[INFO] BUILD FAILURE
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 2.847s
[INFO] Finished at: Tue Dec 10 14:14:20 IST 2013
[INFO] Final Memory: 8M/102M
[INFO] ------------------------------------------------------------------------
[ERROR] Failed to execute goal on project json-serde: Could not resolve dependencies for project org.openx.data:json-serde:jar:1.1.7: The following artifacts could not be resolved: org.apache.hive:hive-serde:jar:0.8.0-cdh4a1-SNAPSHOT, org.apache.hive:hive-exec:jar:0.8.0-cdh4a1-SNAPSHOT: Failure to find org.apache.hive:hive-serde:jar:0.8.0-cdh4a1-SNAPSHOT in https://repository.cloudera.com/artifactory/cloudera-repos/ was cached in the local repository, resolution will not be reattempted until the update interval of Cloudera has elapsed or updates are forced -> [Help 1]
[ERROR]
This has been very helpful. I wonder if you can create a table using serde on a table which I have already partitioned via another insert. This will allow a more efficient querying JSON data.
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteHi, i made it to create the table, load the data into the table, but when i run a query it doesn't work.
ReplyDeletethis is what is showing:
hive> select Foo, Bar, Quux.QuuxId, Quux.QuuxName
> from json_serde;
Total MapReduce jobs = 1
Launching Job 1 out of 1
Number of reduce tasks is set to 0 since there's no reduce operator
Starting Job = job_201405191544_0002, Tracking URL = http://bigdatalite.localdomain:50030/jobdetails.jsp?jobid=job_201405191544_0002
Kill Command = /usr/lib/hadoop/bin/hadoop job -kill job_201405191544_0002
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 0
2014-05-19 17:29:53,509 Stage-1 map = 0%, reduce = 0%
2014-05-19 17:30:53,817 Stage-1 map = 0%, reduce = 0%
2014-05-19 17:31:54,115 Stage-1 map = 0%, reduce = 0%
2014-05-19 17:32:54,654 Stage-1 map = 0%, reduce = 0%
2014-05-19 17:33:50,859 Stage-1 map = 100%, reduce = 100%
Ended Job = job_201405191544_0002 with errors
Error during job, obtaining debugging information...
Job Tracking URL: http://bigdatalite.localdomain:50030/jobdetails.jsp?jobid=job_201405191544_0002
Examining task ID: task_201405191544_0002_m_000002 (and more) from job job_201405191544_0002
Task with the most failures(4):
-----
Task ID:
task_201405191544_0002_m_000000
URL:
http://bigdatalite.localdomain:50030/taskdetails.jsp?jobid=job_201405191544_0002&tipid=task_201405191544_0002_m_000000
-----
Diagnostic Messages for this Task:
java.lang.RuntimeException: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while processing writable {
at org.apache.hadoop.hive.ql.exec.ExecMapper.map(ExecMapper.java:159)
at org.apache.hadoop.mapred.MapRunner.run(MapRunner.java:50)
at org.apache.hadoop.mapred.MapTask.runOldMapper(MapTask.java:417)
at org.apache.hadoop.mapred.MapTask.run(MapTask.java:332)
at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
at java.security.AccessController.doPrivileged(Native Method)
at javax.security.auth.Subject.doAs(Subject.java:415)
at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1408)
at org.apache.hadoop.mapred.Child.main(Child.java:262)
Caused by: org.apache.hadoop.hive.ql.metadata.HiveException: Hive Runtime Error while processing writable {
at org.apache.hadoop.hive.ql.exec.MapOperator.process(MapOperator.java:647)
at org.apache.hadoop.hive.ql.exec.ExecMapper.map(ExecMapper.java:141)
... 8 more
Caused by: org.apache.hadoop.hive.serde2.SerDeExcep
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.MapRedTask
MapReduce Jobs Launched:
Job 0: Map: 1 HDFS Read: 0 HDFS Write: 0 FAIL
Total MapReduce CPU Time Spent: 0 msec
..
What could be wrong?
Hi i am facing the problem while retriving the data
ReplyDelete{ "Age" : 32, "Marks" : "[67,84,54]", "StudentId" : 101, "UserName" : "P", "_id" : ObjectId( "53a2e77aa1fcf432470939a4" ) }
{ "_id" : ObjectId( "53a2e79ea1fcf432470939a5" ), "Age" : 34, "Marks" : [ 35, 65, 85 ], "StudentId" : 102, "UserName" : "Q" }
{ "_id" : ObjectId( "53a2e7b9a1fcf432470939a6" ), "Age" : 35, "Marks" : [ 54, 74, 64 ], "StudentId" : 103, "UserName" : "R" }
{ "_id" : ObjectId( "53a2e7d7a1fcf432470939a7" ), "Age" : 33, "Marks" : [ 35, 85, 45 ], "StudentId" : 104, "UserName" : "S" }
{ "_id" : ObjectId( "53a2e7f9a1fcf432470939a8" ), "Age" : 22, "Marks" : [ 54, 56, 85 ], "StudentId" : 105, "UserName" : "T" }
{ "Age" : 34, "Marks" : [], "StudentId" : 101, "UserName" : "X", "_id" : ObjectId( "53a2e874e4b0c1f55b4a4357" ) }
This comment has been removed by the author.
ReplyDeleteI haven't worked on Hive stuff for quite a while now, but my thought is that you have an array of events, but those events do not have a common schema - each one is different. That may not be allowed in Hive. Also, the JSON you provided is invalid - it is missing a starting quotation around "chatTranscript".
DeleteThis comment has been removed by the author.
ReplyDeleteThank you Michael. I also think its not possible in hive. But somehow i solved the above problem by modifying the json structure.
Deletehello Sir, can I have ur email please!
DeleteI have a large complexe nested json file to load it into hive
It doesn't work for me :( :'(
Can i have your emailid ? I want to send another one sample json which is screwing me :(
ReplyDeleteI tried the below step also but issue is not resolved.
ReplyDeletehive> ADD JAR [path to JSON SerDe jar file];
For example:
hive> ADD JAR /usr/lib/hive/lib/json-serde-1.1.4-jar-with-dependencies.jar;
Thanks for the informative post - I'm trying to use JSON-Serde but there are spaces in my column names which result in the Create table statement failing on execution. Do you know if there are any workarounds?
ReplyDeleteFAILED: Execution Error, return code 1 from org.apache.hadoop.hive.ql.exec.DDLTask. Cannot validate serde: json-serde.src.main.java.org.openx.data.jsonserde.JsonSerde
ReplyDeletehow to process json ,plz send step by step information ,how to slove this error
This comment has been removed by the author.
ReplyDeleteyour blogs are excellent. Your blogs are very much useful to me, Many thanks for that.
ReplyDeleteMy warm regards to you.
Hi,
ReplyDeleteAfter building the project with i got only json-serde-1.3.7-SNAPSHOT.jar in this path...json-serde-1.3.7-SNAPSHOT.jar. I haven't got the 1.1.6 JSON-serde jar. I am having the twitter data in the form of json data.
Sample Data
Please help me in this regard, thanks in advance.
After following the steps and reading the posts i am stuck with the following issue . i have the json-serdr-1.3.7-SNAPSHOT.jar
ReplyDeletejjava.lang.NoSuchFieldError: byteTypeInfo
at org.openx.data.jsonserde.objectinspector.primitive.TypeEntryShim.(TypeEntryShim.java:23)
at org.openx.data.jsonserde.objectinspector.primitive.JavaStringJsonObjectInspector.(JavaStringJsonObjectInspector.java:14)
at org.openx.data.jsonserde.objectinspector.JsonObjectInspectorFactory.(JsonObjectInspectorFactory.java:204)
at org.openx.data.jsonserde.JsonSerDe.initialize(JsonSerDe.java:124)
at org.apache.hadoop.hive.metastore.MetaStoreUtils.getDeserializer(MetaStoreUtils.java:203)
at org.apache.hadoop.hive.ql.metadata.Table.getDeserializerFromMetaStore(Table.java:260)
at org.apache.hadoop.hive.ql.metadata.Table.getDeserializer(Table.java:253)
at org.apache.hadoop.hive.ql.metadata.Table.getCols(Table.java:490)
at org.apache.hadoop.hive.ql.metadata.Hive.createTable(Hive.java:518)
Awesome Post!!! Really very much helpful..
ReplyDeletethanks a lot , best doc I have read on serde
ReplyDeletebeauty..only one thing user is the reserved keyword due to which table is not created.
ReplyDeleteAs user is the reserved key word so we have to write it (`User`) while doing any operation,same is applied for other reserved keyword
ReplyDeletewhen i tried to display the table by using json_tuple or the other thing, it returns null for all the rows and columns. can u help me out please.
ReplyDeleteAnd when i give select * from table_name; it returns the document as such.
when i tried to display the table by using json_tuple or the other thing, it returns null for all the rows and columns. can u help me out please.
ReplyDeleteAnd when i give select * from table_name; it returns the document as such.
Thanks heaps really useful!!
ReplyDeleteThis comment has been removed by the author.
ReplyDeleteHi facing below issue
ReplyDelete1. i have created tweetsjson table to store data coming from twitter streaming API. use below sql to create table
CREATE External TABLE tweetsjson (
id BIGINT,
created_at STRING,
source STRING,
favorited BOOLEAN,
retweet_count INT,
retweeted_status STRUCT<
text:STRING,
user:STRUCT,
retweet_count:INT>,
entities STRUCT<
urls:ARRAY>,
user_mentions:ARRAY>,
hashtags:ARRAY>>,
text STRING,
user STRUCT<
screen_name:STRING,
name:STRING,
friends_count:INT,
followers_count:INT,
statuses_count:INT,
verified:BOOLEAN,
utc_offset:INT,
time_zone:STRING>,
in_reply_to_screen_name STRING
)
ROW FORMAT SERDE 'com.cloudera.hive.serde.JSONSerDe'
LOCATION '/opt/hadoop/hadoop-1.2.1/twitterData';
2. above table got create successfully but not bale fetch any data from table
getting below output from query
hive> select * from tweetsjson;
OK
NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
Time taken: 0.224 seconds, Fetched: 1 row(s)
Can anyone pl tell why i am getting all null values. Location "/opt/hadoop/hadoop-1.2.1/twitterData" has one .json file created by twitter
give only string,int &float data types and try
DeleteThis comment has been removed by the author.
ReplyDeleteHi,
ReplyDeleteI have a question to ask related to JSON and inserting the data in Hive.
How to store a JSON file and fields in it. If it has multiple url's and we need to access those url's and get corresponding data from that link and then insert it in hive.
Any suggestion/ help is appreciated.
This blog is very helpful to me,thankyou & I hope it helps the people who don't know hive json.
ReplyDeleteAwesome tutor. Thanks man, you are saving the day.
ReplyDeletewhat if the json has an identifier like "@Name" - with the @ character... any hql statement keeps failing like this:
ReplyDeleteselect get_json_object(assets.value, '$.Entries.@Name') from jsondb.assets; --> NULL
How can we access the value for @Name?
Hi, Is there a way to convert the multi-line json files to single line. Without that hive will throw error..
ReplyDeleteAlso if I use your package to generate schema from json file, it changes the sequence of the fields in the resulting structure. It is tedious to go back and fix them again..
ReplyDeleteAny way to keep the fields structure matching to json data.
What are my options as I had json file with map type having key with spaces in between ? Is there anyway to make it work with Serde.
ReplyDeleteeg: { id: "myid", event source: "eventsource" }
Below query is not working on AWS Athena which uses hive internally. (Orders is an array taken from your post). It is working only with array number like User.Order[1].ItemId
ReplyDeleteSELECT DocId, User.Id, User.Orders.ItemId FROM complex_json;
Can you please suggest any other better approach?
thank you for sharing this informative blog.. this blog really helpful for everyone.. explanation are clear so easy to understand... I got more useful information from this blog
ReplyDeletehadoop training course syllabus | big data training and course syllabus | hadoop training topics | big data training topics
After reading this blog i very strong in this topics and this blog really helpful to all... explanation are very clear so very easy to understand... thanks a lot for sharing this blog
ReplyDeletehadoop training and placements | big data training and placements | hadoop training course contents | big data training course contents
You can also use the hcatalog jar to construct the table with json serde
ReplyDeleteadd jar /local path of hcatalog jar/hive-hcatalog-core-**.jar;
CREATE TABLE json_table (field1 string, field2 int, field3 string, field4 double) ROW FORMAT SERDE 'org.apache.hive.hcatalog.data.JsonSerDe' ;
load data local inpath 'local path of input file' overwrite into table json_table;
How to create Hive external table for json :
ReplyDelete[{"total_views":"-250135418","finish":"2017-04-20","data":[{"videos":7,"views":20018,"sentiment":1,"post_date":"2017-01-01","likes":7,"comments":2,"dislikes":0},{"videos":7,"views":27598,"sentiment":1,"post_date":"2017-01-02","likes":29,"comments":1,"dislikes":0}]
Thanks for sharing Valuable information about hadoop. Really helpful. Keep sharing...........
ReplyDeleteNice article...
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ReplyDeleteWith the same JSON you have mentioned above, what would be the code If I want the result as two separate records as shown below.
docid id itemid
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However, i generated the jar and tried to run the program , i get this error
"Exception in thread "main" java.lang.IllegalStateException: Array is empty: []"
This is the input,
{"visitNumber":"1","visitId":"1461978554","visitStartTime":"1461978554","date":"20160429","contentGroup3":"(not set)","contentGroup4":"(not set)","contentGroup5":"(not set)","previousContentGroup1":"(entrance)","previousContentGroup2":"(entrance)","previousContentGroup3":"(entrance)","previousContentGroup4":"(entrance)","previousContentGroup5":"(entrance)"}},{"hitNumber":"2","time":"27800","hour":"21","minute":"9","isInteraction":true,"isExit":true,"page":{"pagePath":"/outgoing_click2_semppc_visit_button_2045998","hostname":"www.capterra.com","pageTitle":"Best Work Order Software | 2016 Reviews of the Most Popular Systems","pagePathLevel1":"/outgoing_click2_semppc_visit_button_2045998","pagePathLevel2":"","pagePathLevel3":"","pagePathLevel4":""},"appInfo":{"screenName":"www.capterra.com/outgoing_click2_semppc_visit_button_2045998","landingScreenName":"www.capterra.com/sem/work-order-software","exitScreenName":"www.capterra.com/outgoing_click2_semppc_visit_button_2045998","screenDepth":"0"},"exceptionInfo":{"isFatal":true},"product":[],"promotion":[],"eCommerceAction":{"action_type":"0","step":"1"},"experiment":[],"customVariables":[],"customDimensions":[],"customMetrics":[],"type":"PAGE","social":{"socialNetwork":"(not set)","hasSocialSourceReferral":"No","socialInteractionNetworkAction":" : "},"contentGroup":{"contentGroup1":"(not set)","contentGroup2":"(not set)","contentGroup3":"(not set)","contentGroup4":"(not set)","contentGroup5":"(not set)","previousContentGroup1":"(not set)","previousContentGroup2":"(not set)","previousContentGroup3":"(not set)","previousContentGroup4":"(not set)","previousContentGroup5":"(not set)"}}],"fullVisitorId":"2283754685362079163","channelGrouping":"Generic Paid Search","socialEngagementType":"Not Socially Engaged"}
I added sysouts from the git code downloaded and checked if the input file is empty or nonempty. The input seems fine. Could you please help
Thanks,
Sunitha
This comment has been removed by the author.
ReplyDeleteI have a json document with about 4 million rows and the structure is of this type
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Like you have mentioned we have to convert the json into a collapsed form like
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I am not able to figure out an easy method to do this. It would be really valuable if you could provide some help in this respect :')
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FAILED: ParseException line 3:2 cannot recognize input near 'User' 'struct' '<' in column name or constraint
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