I have HIVE external table created in AVRO format. Data stored on S3 location. Now i am creating snowflake table on same data file stored on s3 in avro format. But getting issue with date column. Date is not coming correctly although string and int data are coming correctly in snowflake table.
data in hive table( col1 is timestamp data type in hive table):
col1
2021-02-04 10:02:31
data in snowflake table:
col1
53066-07-15 12:56:40.000
sql to create snowflake table:
CREATE OR REPLACE EXTERNAL TABLE test1
(
col1 timestamp as (value:col1::timestamp),
)
WITH LOCATION = #S3_location/folder/
AUTO_REFRESH = TRUE
FILE_FORMAT = 'AVRO';"
Related
I am trying to create an Athena table using partition projection. I am delivering records to S3 using Kinesis Firehouse, grouped using a dynamic partitioning key. For example, the records look like the following:
period
item_id
2022/05
monthly_item_1
2022/05/04
daily_item_1
2022/05/04/02
hourly_item_1
2022/06
monthly_item_2
I want to partition the data in S3 by period, which can be monthly, daily or hourly. It is guaranteed that period would be in a supported Java date format. Therefore, I am writing these records to S3 in the below format:
s3://bucket/prefix/2022/05/monthly_items.gz
s3://bucket/prefix/2022/05/04/daily_items.gz
s3://bucket/prefix/2022/05/04/02/hourly_items.gz
s3://bucket/prefix/2022/06/monthly_items.gz
I want to run Athena queries for every partition scope i.e. if my query is for a specific day, I want to fetch its daily_items and hourly_items. If I am running a query for a month, I want to its fetch monthly, daily as well as hourly items.
I've created an Athena table using below query:
create external table `my_table`(
`period` string COMMENT 'from deserializer',
`item_id` string COMMENT 'from deserializer')
PARTITIONED BY (
`year` string,
`month` string,
`day` string,
`hour` string)
ROW FORMAT SERDE
'org.openx.data.jsonserde.JsonSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.IgnoreKeyTextOutputFormat'
LOCATION
's3://bucket/prefix/'
TBLPROPERTIES (
'projection.enabled'='true',
'projection.day.type'='integer',
'projection.day.digits' = '2',
'projection.day.range'='01,31',
'projection.hour.type'='integer',
'projection.hour.digits' = '2',
'projection.hour.range'='00,23',
'projection.month.type'='integer',
'projection.month.digits'='02',
'projection.month.range'='01,12',
'projection.year.format'='yyyy',
'projection.year.range'='2022,NOW',
'projection.year.type'='date',
'storage.location.template'='s3://bucket/prefix/${year}/${month}/${day}/${hour}')
However, with this table running below query outputs zero results:
select * from my_table where year = '2022' and month = '06';
I believe the reason is Athena expects all files to be present under the same prefix as defined by storage.location.template. Therefore, any records present under a month or day prefix are not projected.
I was wondering if it was possible to support such querying functionality in a single table with partition projection enabled, when data in S3 is in a folder type structure similar to the examples above.
Would be great if anyone can help me out!
Is there a way to create table or update the table in Glue Catalog?
We are using the following DDL to create a table (and database) in Glue Catalog:
CREATE DATABASE IF NOT EXISTS glue_catalog;
CREATE EXTERNAL TABLE IF NOT EXISTS glue_catalog.date
(
file_dt date,
end_dt date
)
PARTITIONED BY (
year string,
month string
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '|'
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION
's3://bucket/prefix1/date'
TBLPROPERTIES (
'classification'='csv',
'columnsOrdered'='true',
'compressionType'='none',
'delimiter'='|',
'skip.header.line.count'='1',
'typeOfData'='file');
When we need to make an update to the schema (i.e. a datatype). We have to delete the table in Glue Catalog and re-execute the script above because we're using the create external table if not exists statement. I'm curious whether there's a way to create a table if it does not exist, but if it does exist, update the table?
You can find the alter commands in the documentation. Although this appears under Athena service, it applies to Glue tables. Athena tables are Glue tables.
I create aws athena table that contain some rows
example of data:
first_name | age
=================
a 20
b 30
c 35
When I query the data I the result are saved in CSV format in S3.
SELECT * FROM table1
I would query the data and get the result in JSON format.
The reason is that I should transfer that JSON data to another application for another process.
Is there a way to get query result in JSON format?
I have query pertaining to the google big query tables. We are currently looking to query the big query table based on the file uploaded on the day into the cloud storage.
Meaning:
I have to load the data into big query table based on every day's data into cloud storage.
When i query:
select * from BQT where load_date =<TODAY's DATE>
Can we achieve this without adding the date field into the file?
If you just don't want to add a date column, Append current date suffix to your table name like BQT_20200112 when the GCS file is uploaded.
Then you can query specific datetime table by _TABLE_SUFFIX syntax.
Below is example query using _TABLE_SUFFIX
SELECT
field1,
field2,
field3
FROM
`your_dataset.BQT_*`
WHERE
_TABLE_SUFFIX = '20200112'
As you see, You don't need to add additional field like load_date when you query the tables using date suffix and wildcard symbol.
My current iot design is iot > rule > kinesis firehose > redshift
I have iot rule as
SELECT *, timestamp() AS timestamp FROM 'topic/#
I get json message something like below
{
"deviceID": "device6",
"timestamp": 1480926222159
}
In my redshift table I have a column eventtime as Timestamp
Now i want to store the json timestamp value to eventtime column, but it gives me error as it needs
TIMEFORMAT AS 'MM.DD.YYYY HH:MI:SS
for timestamp. So how to covert the iot rules timestamp to redshift timestamp?
There is no direct way to converting epoch date value while inserting it to Redshift table Timestamp datatype column.
I have created a column with Bigint datatype and inserting epoch value directly to this column.
After that I am using Quicksight for analytics so I can edit my dataset and create New calculated field for this column and use Qucksight function as below
epochDate(epoch_date)
which converts the epoch value to timestamp field.
One can use similar functions like
SELECT
(TIMESTAMP 'epoch' + myunixtimeclm * INTERVAL '1 Second ')
AS mytimestamp
FROM
example_table