How to create seperate tables from postgreSQL JSON column value
Following is the table format :
CREATE TABLE records
(
id text,
record json
)
For every record
column of the row , JSON value will be: (this is just a snapshot of an entire structure)
{
"Trial": {
"primary_id": "xxxxx",
"key1": "aaaaaaaa (BAL-8557) aaaaaaaaaaaaaaaaaa",
"key2": "aaaaaaaaaaaaa , aaaaaaaaaaaaaaaaaaa",
"key3": "Yes",
"key4": "No",
"key5": {
"key5k": [{
"@type": "ABC",
"$": "ABC121 "
},
{
"@type": "ABC",
"$": "ABC12133 "
}
]
},
"Indications": {
"Indication": [{
"indication_id": "1308",
"$": "aaaaaa"
},
{
"indicationid": "1309",
"$": "bbbbbb"
}
]
}
}
}
there are around 300K rows in the table currently
I want to develop an utility that will read all rows find keys which have nested JSON.
Based on the nested JSON structure I want to create a separate table
E.g. from above JSON table , Indication Table will be
----------------------------------------
primary_id | indication_id | value
----------------------------------------
xxxxx | 1308 | aaaaaa
----------------------------------------
xxxxx | 1309 | bbbbbb
How can I develop this utility ?
Should this be handled by PostgreSQL functions or using Python + Spark ?
If someone could share any link for this solution or something similar that will be helpful , thanks
python json postgresql pyspark
add a comment |
Following is the table format :
CREATE TABLE records
(
id text,
record json
)
For every record
column of the row , JSON value will be: (this is just a snapshot of an entire structure)
{
"Trial": {
"primary_id": "xxxxx",
"key1": "aaaaaaaa (BAL-8557) aaaaaaaaaaaaaaaaaa",
"key2": "aaaaaaaaaaaaa , aaaaaaaaaaaaaaaaaaa",
"key3": "Yes",
"key4": "No",
"key5": {
"key5k": [{
"@type": "ABC",
"$": "ABC121 "
},
{
"@type": "ABC",
"$": "ABC12133 "
}
]
},
"Indications": {
"Indication": [{
"indication_id": "1308",
"$": "aaaaaa"
},
{
"indicationid": "1309",
"$": "bbbbbb"
}
]
}
}
}
there are around 300K rows in the table currently
I want to develop an utility that will read all rows find keys which have nested JSON.
Based on the nested JSON structure I want to create a separate table
E.g. from above JSON table , Indication Table will be
----------------------------------------
primary_id | indication_id | value
----------------------------------------
xxxxx | 1308 | aaaaaa
----------------------------------------
xxxxx | 1309 | bbbbbb
How can I develop this utility ?
Should this be handled by PostgreSQL functions or using Python + Spark ?
If someone could share any link for this solution or something similar that will be helpful , thanks
python json postgresql pyspark
So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10
add a comment |
Following is the table format :
CREATE TABLE records
(
id text,
record json
)
For every record
column of the row , JSON value will be: (this is just a snapshot of an entire structure)
{
"Trial": {
"primary_id": "xxxxx",
"key1": "aaaaaaaa (BAL-8557) aaaaaaaaaaaaaaaaaa",
"key2": "aaaaaaaaaaaaa , aaaaaaaaaaaaaaaaaaa",
"key3": "Yes",
"key4": "No",
"key5": {
"key5k": [{
"@type": "ABC",
"$": "ABC121 "
},
{
"@type": "ABC",
"$": "ABC12133 "
}
]
},
"Indications": {
"Indication": [{
"indication_id": "1308",
"$": "aaaaaa"
},
{
"indicationid": "1309",
"$": "bbbbbb"
}
]
}
}
}
there are around 300K rows in the table currently
I want to develop an utility that will read all rows find keys which have nested JSON.
Based on the nested JSON structure I want to create a separate table
E.g. from above JSON table , Indication Table will be
----------------------------------------
primary_id | indication_id | value
----------------------------------------
xxxxx | 1308 | aaaaaa
----------------------------------------
xxxxx | 1309 | bbbbbb
How can I develop this utility ?
Should this be handled by PostgreSQL functions or using Python + Spark ?
If someone could share any link for this solution or something similar that will be helpful , thanks
python json postgresql pyspark
Following is the table format :
CREATE TABLE records
(
id text,
record json
)
For every record
column of the row , JSON value will be: (this is just a snapshot of an entire structure)
{
"Trial": {
"primary_id": "xxxxx",
"key1": "aaaaaaaa (BAL-8557) aaaaaaaaaaaaaaaaaa",
"key2": "aaaaaaaaaaaaa , aaaaaaaaaaaaaaaaaaa",
"key3": "Yes",
"key4": "No",
"key5": {
"key5k": [{
"@type": "ABC",
"$": "ABC121 "
},
{
"@type": "ABC",
"$": "ABC12133 "
}
]
},
"Indications": {
"Indication": [{
"indication_id": "1308",
"$": "aaaaaa"
},
{
"indicationid": "1309",
"$": "bbbbbb"
}
]
}
}
}
there are around 300K rows in the table currently
I want to develop an utility that will read all rows find keys which have nested JSON.
Based on the nested JSON structure I want to create a separate table
E.g. from above JSON table , Indication Table will be
----------------------------------------
primary_id | indication_id | value
----------------------------------------
xxxxx | 1308 | aaaaaa
----------------------------------------
xxxxx | 1309 | bbbbbb
How can I develop this utility ?
Should this be handled by PostgreSQL functions or using Python + Spark ?
If someone could share any link for this solution or something similar that will be helpful , thanks
python json postgresql pyspark
python json postgresql pyspark
asked Nov 15 '18 at 3:58
K.PilK.Pil
10219
10219
So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10
add a comment |
So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10
So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10
So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10
add a comment |
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So what have you tried so far? Where are you stuck?
– Richard Huxton
Nov 15 '18 at 9:10