openx | A platform of platforms for next generation funding models | Blockchain library
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kandi X-RAY | openx Summary
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QUESTION
I am trying to create a table from a json, the json being like
...ANSWER
Answered 2021-Jun-12 at 08:13The problem is that there is a missing :
after office
, just like the error message is saying.
There is also another :
missing after workstationNo
.
Try struct,workstationNo: int>
.
QUESTION
In looking at AWS Athena's supported compression documentation I can see that Snappy is supported. However, when attempting to use Snappy compression with JSON data format, I am met with a multitude of errors.
I have tried creating tables in Athena with both available SerDes:
...ANSWER
Answered 2021-Mar-18 at 08:55For data in CSV
, TSV
, and JSON
, Athena determines the compression type from the file extension. If no file extension is present, Athena treats the data as uncompressed plain text. If your data is compressed, make sure the file name includes the compression extension .json.snappy
QUESTION
I have nested JSON whose fields are separated by \ while saving that json to hive external table then I am getting error.
...ANSWER
Answered 2021-Jan-09 at 09:53Your JSON "value" is a STRING containing JSON {"value":string
}, not nested JSON struct.
Nested JSON struct should look like this:
QUESTION
I want to create a VIEW that always returns the last 1 hour of data from the 2 most recent Athena partitions.
I am using the following Amazon Athena DDL with a partition column called 'datehour' of type varchar.
...ANSWER
Answered 2020-Nov-18 at 08:44The solution should be that you cast current_timestamp - interval '1' hour
as varchar
in the correct format. Assuming the data is partitioned as yyyy/MM/dd/HH
as described in your table definition:
QUESTION
ANSWER
Answered 2020-Sep-01 at 03:22The JSON record that you have posted in your question has some missing commas and the whole record should be present on single line for Athena to properly query the table as shown below:
QUESTION
JSON Data:
...ANSWER
Answered 2020-Jun-07 at 15:45Something similar would work for you:
JSON DATA:
QUESTION
I have data in XML form which I have converted in JSON format through glue crawler. The problem is in writing the DDL statement for a table in Athena as you can see below there is a contact attribute in JSON data. Somewhere it is a structure (single instance) and somewhere it is in array form (multiple instances). I am sharing the DDL statements below as well for each type.
JSON Data Type 1
...ANSWER
Answered 2020-Jul-23 at 08:05The way you solve this in Athena is that you use the string
type for the Contact
field of the ContactList
column, and then JSON functions in your queries.
When you query you can for example do (assuming contacts have a "name" field):
QUESTION
I am trying to sparse the data from https://www.thesaurus.com/ HTML to get synonyms of and word,
Here I identified the u1 tag class as used to get the list in "li" tag as highlighted in the above image I want to parse the list in the u1 tag, so I used it in the doc.select as in below code
...ANSWER
Answered 2020-Jul-08 at 14:06If you know the CSS class for the elements you want to extract, it is easily done with getElementsByClass
:
QUESTION
I'm using Spark 2.4.5 running on AWS EMR 5.30.0 with r5.4xlarge instances (16 vCore, 128 GiB memory, EBS only storage, EBS Storage:256 GiB) : 1 master, 1 core and 30 task.
I launched Spark Thrift Server on the master node and it's the only job that is running on the cluster
...ANSWER
Answered 2020-Jul-06 at 21:21The problem was having only 1 core instance as the logs were saved in HDFS so this instance became a bottleneck. I added another core instance and it's going much better now.
Another solution could be to save the logs to S3/S3A instead of HDFS, changing those parameters in spark-defaults.conf (make sure they are changed in the UI config too) but it might require adding some JAR files to work.
QUESTION
I am looking into using AWS Athena to do queries against a mass of JSON files.
My JSON files have this format (prettyprinted for convenience):
...ANSWER
Answered 2020-Jul-01 at 13:49You can't make the serde do it automatically, but you can achieve what you're after in a query. You can then create a view to simulate a table with the data elements unwrapped.
The way you do this is to use the UNNEST
keyword. This produces one new row per element in an array:
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