Select from json_table is slow - json

Question

I got a problem with performance of Insert into Select queries, where i use json_table mechanism. And i think its problem only with select's- since inserts are preety fast.
Im using Oracle 19c database.
I got entire json (that weights over 50mb) stored as clob in a table.
The dynamicly generated queries (i pasted only some of them, there are like 14 queries like that per each dailyReport object), which i run by execute immediate looks like:
INSERT INTO STORING_JSON_TABLE ( ID_ST_PTU ,WART )
SELECT ID_ST_PTU ,WART
FROM STORING_JSON_TABLE,
JSON_TABLE(json_data,'$.dailyReports[0].jpk.content.rapDob.stPTU[1]'
COLUMNS (
ID_ST_PTU PATH '$.id'
,WART PATH '$.wart'
)
)
INSERT INTO STORING_JSON_TABLE ( ID_ST_PTU ,WART )
SELECT ID_ST_PTU ,WART
FROM STORING_JSON_TABLE,
JSON_TABLE(json_data,'$.dailyReports[0].jpk.content.rapDob.stPTU[2]'
COLUMNS (
ID_ST_PTU PATH '$.id'
,WART PATH '$.wart'
)
)
INSERT INTO STORING_JSON_TABLE ( ID_ST_PTU ,WART )
SELECT ID_ST_PTU ,WART
FROM STORING_JSON_TABLE,
JSON_TABLE(json_data,'$.dailyReports[0].jpk.content.rapDob.stPTU[3]'
COLUMNS (
ID_ST_PTU PATH '$.id'
,WART PATH '$.wart'
)
)
Those 3 queries take up to 2 seconds to execute- and i think im doing something wrong.
Ofcourse, i could do one select and then create only Insert's not Insert Into Select's, but still it would be slow- since i have to import around 50 000 dailyReport's each day, and as you can see each dailyReport can contain multiple elements in different array's (i used only one object array as example).
I also tried running them in PLSQL block without EXECUTE IMMEDIATE but they are not working any faster.
I feel like json_table dont pay much attention on the numbers im giving to him, for example in those queries i say that i want to get data only from dailyReport[0], but i feel like it is searching the whole json for that.
I already read about indexes, and i think i found one that could fit my needs, its called: Multivalue Function-Based Index, but seems its not aviable in Oracle 19c, only in Oracle 21.
The json structure looks like:
"dailyReports": [
{
"jpk": {
"naglowek": {
"wersja": "JPK_KASA_v2-0",
"dataJPK": "2022-07-19T21:59:01.17Z"
},
"podmiot1": {
"nip": "XXX",
"nazwaPod": "XXX",
"adresPod": {
"kodPoczt": "XXX",
"miejsc": "XXX XXX",
"nrDomu": "XXX",
"ulica": "XXX"
},
"nrUnik": "XXX",
"nrFabr": "XXX",
"nrEwid": "2022/XXX"
},
"content": [
{
"rapDob": {
"jpkid": 108,
"pamiecChr": 1,
"nrDok": 106,
"nrRap": 6,
"rozpSprzed": "2022-07-19T12:01:54.631Z",
"zakSprzed": "2022-07-19T12:01:54.631Z",
"stPTU": [
{
"id": "A",
"wart": 2300
},
{
"id": "B",
"wart": 800
},
{
"id": "C",
"wart": 500
},
{
"id": "D",
"wart": 0
},
{
"id": "E",
"wart": "ZW"
},
{
"id": "F",
"wart": 0
},
{
"id": "G",
"wart": 0
}
],
"sprzedPar": {
"sumaBrutto": 499,
"sumaPod": 0,
"wartWgPTU": [
{
"idStPTU": "A",
"netto": 0,
"vat": 0
},
{
"idStPTU": "B",
"netto": 0,
"vat": 0
},
{
"idStPTU": "C",
"netto": 0,
"vat": 0
},
{
"idStPTU": "D",
"netto": 499,
"vat": 0
},
{
"idStPTU": "E",
"netto": 0,
"vat": 0
},
{
"idStPTU": "F",
"netto": 0,
"vat": 0
},
{
"idStPTU": "G",
"netto": 0,
"vat": 0
}
],
"sprzedNO": 0
},
"podatekNal": 0,
"sprzedBrutto": 499,
"sprzedNO": 0,
"waluta": "PLN",
"sytAwaryjne": 0,
"zdarzProgramL": 0,
"zdarzProgramO": 0,
"zmBazyTow": 1,
"liczbaPar": 1,
"liczbaParAnul": 0,
"wartParAnul": 0,
"dokNiefisk": 4,
"zakRap": "2022-07-19T21:59:00.935Z",
"nrKasy": "0",
"kasjer": "XXX",
"podpis": {
"rsa": "XXX",
"sha": "XXX",
"jpk": "XXX"
}
}
}
]
}
},
{
"jpk": {
"naglowek": {
"wersja": "JPK_KASA_v2-0",
"dataJPK": "2022-07-22T07:45:58.658Z"
},
"podmiot1": {
"nip": "XXX",
"nazwaPod": "XXXXXX.",
"adresPod": {
"kodPoczt": "XXX",
"miejsc": "XXX",
"nrDomu": "XXX",
"ulica": "XXX"
},
"nrUnik": "XXX",
"nrFabr": "XXX",
"nrEwid": "2022/XXX"
},
"content": [
{
"rapDob": {
"jpkid": XXX,
"pamiecChr": 1,
"nrDok": 112,
"nrRap": 7,
"rozpSprzed": "0001-01-01T00:00:00",
"zakSprzed": "0001-01-01T00:00:00",
"stPTU": [
{
"id": "A",
"wart": 2300
},
{
"id": "B",
"wart": 800
},
{
"id": "C",
"wart": 500
},
{
"id": "D",
"wart": 0
},
{
"id": "E",
"wart": "ZW"
},
{
"id": "F",
"wart": 0
},
{
"id": "G",
"wart": 0
}
],
"sprzedPar": {
"sumaBrutto": 0,
"sumaPod": 0,
"wartWgPTU": [
{
"idStPTU": "A",
"netto": 0,
"vat": 0
},
{
"idStPTU": "B",
"netto": 0,
"vat": 0
},
{
"idStPTU": "C",
"netto": 0,
"vat": 0
},
{
"idStPTU": "D",
"netto": 0,
"vat": 0
},
{
"idStPTU": "E",
"netto": 0,
"vat": 0
},
{
"idStPTU": "F",
"netto": 0,
"vat": 0
},
{
"idStPTU": "G",
"netto": 0,
"vat": 0
}
],
"sprzedNO": 0
},
"podatekNal": 0,
"sprzedBrutto": 0,
"sprzedNO": 0,
"waluta": "PLN",
"sytAwaryjne": 0,
"zdarzProgramL": 0,
"zdarzProgramO": 0,
"zmBazyTow": 0,
"liczbaPar": 0,
"liczbaParAnul": 0,
"wartParAnul": 0,
"dokNiefisk": 5,
"zakRap": "2022-07-22T07:45:58.425Z",
"nrKasy": "0",
"kasjer": "XXX",
"podpis": {
"rsa": "XXX",
"sha": "XXX",
"jpk": "XXX"
}
}
}
]
}
},
etc....
Any ideas how to speed up the queries ?
Execution plan for Select queries:

Answer 1

On 21c, syntax
'$.dailyReports[0].jpk.content.rapDob.stPTU[1,2,3]'
and
'$.dailyReports[0].jpk.content.rapDob.stPTU[1 to 3]'
work,
it will allow you to do 1 INSERT instead of 3.
Don't have hand on a 19c right now to verify.