amazon-athena

aws athena - Create table by an array of json object

瘦欲@ 提交于 2020-12-25 04:50:13
问题 Can I get help in creating a table on AWS Athena. For a sample example of data : [{"lts": 150}] AWS Glue generate the schema as : array (array<struct<lts:int>>) When I try to use the created table by AWS Glue to preview the table, I had this error: HIVE_BAD_DATA: Error parsing field value for field 0: org.openx.data.jsonserde.json.JSONObject cannot be cast to org.openx.data.jsonserde.json.JSONArray The message error is clear, but I can't find the source of the problem! 回答1: Hive running under

aws athena - Create table by an array of json object

会有一股神秘感。 提交于 2020-12-25 04:48:32
问题 Can I get help in creating a table on AWS Athena. For a sample example of data : [{"lts": 150}] AWS Glue generate the schema as : array (array<struct<lts:int>>) When I try to use the created table by AWS Glue to preview the table, I had this error: HIVE_BAD_DATA: Error parsing field value for field 0: org.openx.data.jsonserde.json.JSONObject cannot be cast to org.openx.data.jsonserde.json.JSONArray The message error is clear, but I can't find the source of the problem! 回答1: Hive running under

Should Quicksight Need Access to the S3 Bucket Athena Is Querying?

痞子三分冷 提交于 2020-12-13 11:01:31
问题 I have set up a reporting stack using data stored in S3, schema mapped by AWS Glue, queried by Amazon Athena, and visualized in Amazon QuickSight. I gave QuickSight permissions to access the three aws-athena-query-results buckets I have (see below) However, when I try to build reports based on my Athena table, it throws an error. I went back in and explicitly gave it access to the S3 bucket that holds my raw data, and now I have visualizations. My question is whether or not this is how it

How to Create Dataframe from AWS Athena using Boto3 get_query_results method

久未见 提交于 2020-12-01 09:13:52
问题 I'm using AWS Athena to query raw data from S3. Since Athena writes the query output into S3 output bucket I used to do: df = pd.read_csv(OutputLocation) But this seems like an expensive way. Recently I noticed the get_query_results method of boto3 which returns a complex dictionary of the results. client = boto3.client('athena') response = client.get_query_results( QueryExecutionId=res['QueryExecutionId'] ) I'm facing two main issues: How can I format the results of get_query_results into