Advice in designing efficient full-text-search of JSON documents using Cloud . BigTable
We need help designing full-text-search with BigTable (of say structure JSON documents) and supporting AND boolean queries
For supporting OR we think our design is relatively fine,
Schema is as such:
Row keys format:
json.field_type_1:value1 : doc_ids_family “docid1”, “docid2" , “docid3”, ... json.field_type_1:value2 : doc_ids_family “docid2", “docid4” , “docid5", ...json.field_type_2:value1 : doc_ids_family “docid1”, “docid4" , “docid6”, ...json.field_type_1:value2 : doc_ids_family “docid6", “docid7” , “docid8", ...
Where each row has a family of columns with in many cases thousands (or millions) of columns where the key is a document ID (blank byte)
Simple OR match is efficient O(1) and then we paginate
But finding the intersection of the columns (document IDs that have right value for 2 types is O(n) of documents essentially - needing to do a full columns range scan we might have loop through thousands of columns before with align them
We cannot rely on having a secondary index table, since the number of criteria (number of fields that the AND query may contain is user defined and we do not know ahead of time the number of fields / values — they are tokenized from JSON documents)
Thanks for any advice
google-cloud-platform google-cloud-bigtable
edited Dec 10 '18 at 22:21
Maxim
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
add a comment |
We need help designing full-text-search with BigTable (of say structure JSON documents) and supporting AND boolean queries
For supporting OR we think our design is relatively fine,
Schema is as such:
Row keys format:
json.field_type_1:value1 : doc_ids_family “docid1”, “docid2" , “docid3”, ... json.field_type_1:value2 : doc_ids_family “docid2", “docid4” , “docid5", ...json.field_type_2:value1 : doc_ids_family “docid1”, “docid4" , “docid6”, ...json.field_type_1:value2 : doc_ids_family “docid6", “docid7” , “docid8", ...
Where each row has a family of columns with in many cases thousands (or millions) of columns where the key is a document ID (blank byte)
Simple OR match is efficient O(1) and then we paginate
But finding the intersection of the columns (document IDs that have right value for 2 types is O(n) of documents essentially - needing to do a full columns range scan we might have loop through thousands of columns before with align them
We cannot rely on having a secondary index table, since the number of criteria (number of fields that the AND query may contain is user defined and we do not know ahead of time the number of fields / values — they are tokenized from JSON documents)
Thanks for any advice
google-cloud-platform google-cloud-bigtable
edited Dec 10 '18 at 22:21
Maxim
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
1
Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27
add a comment |
We need help designing full-text-search with BigTable (of say structure JSON documents) and supporting AND boolean queries
For supporting OR we think our design is relatively fine,
Schema is as such:
Row keys format:
json.field_type_1:value1 : doc_ids_family “docid1”, “docid2" , “docid3”, ... json.field_type_1:value2 : doc_ids_family “docid2", “docid4” , “docid5", ...json.field_type_2:value1 : doc_ids_family “docid1”, “docid4" , “docid6”, ...json.field_type_1:value2 : doc_ids_family “docid6", “docid7” , “docid8", ...
Where each row has a family of columns with in many cases thousands (or millions) of columns where the key is a document ID (blank byte)
Simple OR match is efficient O(1) and then we paginate
But finding the intersection of the columns (document IDs that have right value for 2 types is O(n) of documents essentially - needing to do a full columns range scan we might have loop through thousands of columns before with align them
We cannot rely on having a secondary index table, since the number of criteria (number of fields that the AND query may contain is user defined and we do not know ahead of time the number of fields / values — they are tokenized from JSON documents)
Thanks for any advice
google-cloud-platform google-cloud-bigtable
edited Dec 10 '18 at 22:21
Maxim
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
We need help designing full-text-search with BigTable (of say structure JSON documents) and supporting AND boolean queries
For supporting OR we think our design is relatively fine,
Schema is as such:
Row keys format:
json.field_type_1:value1 : doc_ids_family “docid1”, “docid2" , “docid3”, ... json.field_type_1:value2 : doc_ids_family “docid2", “docid4” , “docid5", ...json.field_type_2:value1 : doc_ids_family “docid1”, “docid4" , “docid6”, ...json.field_type_1:value2 : doc_ids_family “docid6", “docid7” , “docid8", ...
Where each row has a family of columns with in many cases thousands (or millions) of columns where the key is a document ID (blank byte)
Simple OR match is efficient O(1) and then we paginate
But finding the intersection of the columns (document IDs that have right value for 2 types is O(n) of documents essentially - needing to do a full columns range scan we might have loop through thousands of columns before with align them
We cannot rely on having a secondary index table, since the number of criteria (number of fields that the AND query may contain is user defined and we do not know ahead of time the number of fields / values — they are tokenized from JSON documents)
Thanks for any advice
google-cloud-platform google-cloud-bigtable
google-cloud-platform google-cloud-bigtable
edited Dec 10 '18 at 22:21
Maxim
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
edited Dec 10 '18 at 22:21
Maxim
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
edited Dec 10 '18 at 22:21
Maxim
1,498210
edited Dec 10 '18 at 22:21
Maxim
1,498210
edited Dec 10 '18 at 22:21
Maxim
1,498210
1,498210
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
asked Nov 15 '18 at 4:33
flexoriumflexorium
61
61
1
Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27
add a comment |
1
Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27
1
1
Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27
Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27
add a comment |
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Cloud Bigtable isn't necessarily the best tool for the job. Are you unable to index the data in something like Elasticsearch?
– Gary Elliott
Nov 18 '18 at 14:27