I am trying to insert current datetime into table which has Datetime as datatype using the following query:
.ingest inline into table NoARR_Rollout_Status_Dummie <| #'datetime(2021-06-11)',Sam,Chay,Yes
Table was created using the following query:
.create table NoARR_Rollout_Status_Dummie ( Timestamp:datetime, Datacenter:string, Name:string, SurName:string, IsEmployee:string)
But when I try to see data in the table, I could not see TimeStamp being filled. Is there anything I am missing?
the .ingest inline command parses the input (after the <|) as a CSV payload. therefore you cannot include variables in it.
an alternative to what you're trying to do would be using the .set-or-append command, e.g.:
.set-or-append NoARR_Rollout_Status_Dummie <|
print Timestamp = datetime(2021-06-11),
Name = 'Sam',
SurName = 'Chay',
IsEmployee = 'Yes'
NOTE, however, that ingesting a single or a few records in a single command is not recommended for production scenarios, as it created very small data shards and could negatively impact performance.
For queued ingestion, larger bulks are recommended: https://learn.microsoft.com/en-us/azure/data-explorer/kusto/api/netfx/kusto-ingest-best-practices#optimizing-for-throughput
otherwise, see if your use case meets the recommendations of streaming ingestion: https://learn.microsoft.com/en-us/azure/data-explorer/ingest-data-streaming
Related
We have a scenario where some reference data is getting ingested in a Kusto table (~1000 rows).
To handle data duplication due to daily data load (as Kusto does always append), we have created a Materialized view(MV) on top of the table to summarize the data and get the latest data based on ingestion_time(), so that querying the MV will always result in latest updated reference data.
Our next ask is to export this formatted data in a storage container using Kusto continuous data export (please refer MS doc), however, it seems we can't use Materialized view to set up a continuous export.
So looking at options, is there any way we can create a truncate load table instead of a Materialized View in kusto, so that we don't have a duplicate record in the table and it can be used to do continuous export.
.create async materialized-view with (backfill=true) products_vw on table products
{
products
| extend d=parse_json(record)
| extend
createdBy=tostring(d.createdBy),
createdDate = tostring(d.createdDate),
product_id=tostring(d.id),
product_name=tostring(d.name),
ingest_time=ingestion_time()
| project
ingest_time,
createdBy,
createdDate,
product_id,
product_name
| summarize arg_max(ingest_time, *) by product_id
}
You can use Azure logic app or Microsoft flow to run the applicable export command to an external table backed by Azure storage on any given time interval. The query can simply refer to the materialized view, for example:
.export to table ExternalBlob <| Your_MV
In Azure Data Explorer (Kusto) how do I ingest a row into a table from within a stored function?
I can ingest a row into a table using the following:
.ingest inline into table TestTable <|
"valueForColumn1", "valueForColumn2"
I can create a stored function:
.create-or-alter function with (docstring="TestTable" folder="path\\folder") fn_TestTable(col1:string, col2:string)
{
TestTable | take 5
}
But when I try to change the stored function to use the .ingest command I get a syntax error for the period (Token .)
The following command displays a syntax error:
.create-or-alter function with (docstring="TestTable" folder="path\\folder") fn_TestTable(col1:string, col2:string)
{
.ingest inline into table TestTable <|
"valueForColumn1", "valueForColumn2"
}
Is this not possible or am I making a mistake?
For context, our team would like to expose the ability to write to TestTable to other teams, but instead of giving other teams access to TestTable to write directly to the table we would like to perform some validation in the stored function and have the other teams write to TestTable through the stored function. Is this standard or is there a more preferred way?
That isn't supported. You can find the full explanation in the following post: Not able to have commands in User-Defined functions in Kusto
I want to export data to csv and save it to Google Storage using EXPORT DATA in Standard Query. It will be saved as scheduled query. Then, I set the table suffix into dynamic according to yesterday's date. Unfortunately, Bigquery didn't allow using the _TABLE_SUFFIX and resulted a warning of
"EXPORT DATA statement cannot reference meta tables in the queries."
It might mean I should use a static table name. But, in this case, I can only use table name with changing name according to yesterday date.
Do you have any idea how to work around with this problem? Thank you.
EXPORT DATA OPTIONS(
uri=CONCAT('gs://my_data//table1_', CONCAT(FORMAT_DATE("%Y%m%d",CURRENT_DATE()-1),'*.csv')),
format='CSV',
overwrite=true,
header=true,
field_delimiter=',') AS
SELECT *
FROM `mybigquery.123456.ga_sessions_*`
WHERE
_TABLE_SUFFIX = FORMAT_DATE("%Y%m%d",CURRENT_DATE()-1)
This can also be solved using temporary table as follows:
CREATE TEMP TABLE ga_temp AS
(SELECT hits.*
FROM
`project-id.1234567.ga_sessions_*`,
UNNEST(hits) AS hits);
EXPORT DATA OPTIONS(uri='gs://folder1-sftp/folder2/activities_online_base_2021-11-19_*.csv',
format='CSV',
overwrite=true,
header=False) AS
SELECT * from ga_temp
Just do not forget to set some timelimits, GA tables are huge and expensive.
I separated the query into 2 jobs. First job is to run query and save it to a table. Second job is to export the table to GCS. All can be done using scheduled query.
First job
SELECT *
FROM `mybigquery.123456.ga_sessions_*`
WHERE
_TABLE_SUFFIX = FORMAT_DATE("%Y%m%d",CURRENT_DATE()-1)
Then, schedule it to make a new table called table1.
Second job
EXPORT DATA OPTIONS(
uri=CONCAT('gs://my_data//table1_', CONCAT(FORMAT_DATE("%Y%m%d",CURRENT_DATE()-1),'*.csv')),
format='CSV',
overwrite=true,
header=true,
field_delimiter=',') AS
SELECT *
FROM `mybigquery.123456.table1`
I have an external table partitioned on Timestamp column which is of datetime type. So the external table definition looks like this:-
.create external table external_mytable (mydata:dynamic,Timestamp:datetime)
kind=blob
partition by bin(Timestamp,1d)
dataformat=json
(
h#'https://<mystorage>.blob.core.windows.net/<mycontainer>;<storagekey>'
)
The source table for the export is mytable which has a bunch of columns but I am only interested in a column called mydata holding actual payload and other columns year, month & day, which are required to drive partitioning.
My export looks like this:-
.export async to table external_mytable <| mysourcetable | project mydata,Timestamp=make_datetime(year,month,day)
Now in this case I don't ideally want Timestamp column to be part of actual exported JSON data. I am forced to specify it because this column is driving partitioning logic. Is there any way to avoid Timestamp appearing in the exported data and still be used in determining partitioning in this case?
Thanks for the ask Dhiraj, this is on our backlog. Feel feel to open similar asks on our user voice where we can update once it is complete.
I have written the following code which extracts the names of tables which have used storage in Sentinel. I'm not sure if Kusto is capable of doing the query but essentially I want to use the value stored in "Out" as names of tables. e.g union(Out) or search in (Out) *
let MyTables =
Usage
| where Quantity > 0
| summarize by DataType ;
let Out =
MyTables
| summarize makelist(DataType);
No, this is not possible. The tables referenced by the query should be known during query planning. A possible workaround can be generating the query and invoking it using the execute_query plugin.