#general


@kautsshukla: Hello, If I add a new column in “primaryKeyColumns” in schema, How much time it would take to create indexing for the new column ?
  @g.kishore: is this for upsert use case?
  @kautsshukla: no
  @g.kishore: primaryKeyColumns is only for upsert use case. If you want to add other indexes, you can simply update the table config and invoke reloadSegments api
  @g.kishore:
  @kautsshukla: My table is Realtime table without upsert that means i can’t update primary index. Is it I have to re ingest the whole data again and create schema again
  @kautsshukla: ?
  @g.kishore: No, you dont have to
  @g.kishore: please take a look at the doc link I sent you
  @kautsshukla: Just schma change and upload segemnts will work for me ?
  @kautsshukla: ok
  @g.kishore: not upload, its reload. its just asking the servers to reload the segment during which it will generate missing indices
  @kautsshukla: ok thanks …

#feat-presto-connector


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#docs


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#community


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#announcements


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#minion-improvements


@laxman: Will give a try.
@npawar: Btw the PR for offheap has been merged
@laxman: Yes Neha. Noticed that. But deploying and testing main branch is bit difficult for me even on test clusters. I will cherry pick this into 0.7.1 and test it

#complex-type-support


@amrish.k.lal: @g.kishore in continuation of what we discussed earlier, this is the existing query: `select jsoncolumn,json_extract_scalar(jsoncolumn, '$.person.companies[*].name', 'STRING') from jsontable where id = 106` which produces the results: `{"person":{"name":"daffy duck","companies":[{"name":"n1","title":"t1"},{"name":"n2","title":"t2"}]}}, ["n1","n2"]` What we would like to do is to rewrite this query from user query: `select jsoncolumn.person.companies[*].name from jsontable where id = 106` I believe by "unnesting" you are referring to the fact that `["n1","n2"]` could be separate rows in Pinot? Also, for JSON storage support, we had briefly looked at BSON format (mongodb), JSON2 (derivative of BSON used in postgres), and (used by oracle json database.). In either case, we were looking at a format that would help to minimizing parsing of json strings into json object before query evaluation as is being done in json_extract_scalar.
@g.kishore: I was referring to a different query/requirement
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