command cdb_batchMerge pDataA, pTarget, pInternalA
Updated 11/22/19
Summary
This command allows for the modification of a record's key's value through comparisons like "is", "is not", "is in", and "is not in". This can be done across multiple keys across multiple records across multiple tables.
Inputs
-
pDataA (Array) - An array of one or more keys that are the table IDs of the tables being used in the merge.
- [tableID 1] (Array) - The key is the table ID, containing an array of one or more records for this table.
- [recordID 1] (Array) - The key record ID of the first record being modified on this first table.
- [keyName 1] (Array) - The key to be modified. Contains a sub-array with
- ["value"] (String) - the value to compare against keyName 1's value.
- ["operator"] (String) - Options for this key's value are: "is", "is in", "is not", "is not in". These are operators to compare "value"'s data to keyName 1's data to perform the merge.
- "is" - the data in the "value" key will overwrite the data in the record's keyName key.
- "is in" - Checks the data in keyName seperated by the delimiter to make sure that the data in "value" is somewhere in the data in keyName, otherwise it will append it with the delimiter.
- "is not" - makes sure the data in keyName is not the data in "value", otherwise it will put empty into the key.
- "is not in" - Checks the data in keyName seperated by the delimiter to make sure that the data in "value" is not anywhere in the data in keyName, otherwise it removes it with the delimiter.
- ["delimiter"] (String) - The delimiter used to separate data inside the data in keyName. Recomendations are "," or lf. The default delimiter is ",".
- *[keyName N] (Key) - Repeat keyName 1's sublevel structure.
- [keyName 1] (Array) - The key to be modified. Contains a sub-array with
- *[recordID N] (Key) - Repeat recordID 1's sublevel structure.
- [recordID 1] (Array) - The key record ID of the first record being modified on this first table.
- *[tableID N] (Key) - Repeat table ID 1's sublevel structure.
- [tableID 1] (Array) - The key is the table ID, containing an array of one or more records for this table.
-
pTarget (String) - The place to merge, either "cloud" or "local".
-
*pInternalA (Array) - An array whose key is "delaySend" and its value is true. Optional parameter if pTarget is "cloud." This will delay processing the cloud call and will store its transaction in "cdbCache." Use cdb_flushCache to process the delayed transactions.
* optional parameter
Additional Requirements
This API call requires internet access in order to merge cloud records.
Examples
local tDataA, tTarget, tClientsTableID, tOfficeTableID
# Table name: clients
# Keys: firstName, lastName, age, income
# Record:
# [12345678-abcd-1234-cdef-1234567890ab]["firstName"] - "John"
# ["lastName"] - "Smith"
# ["age"] - "47"
# ["income"] - "100000"
# Table name: office
# Keys: name, address
# Record:
# [45678123-abcd-1234-cdef-1234567890ab]["name"] - "Smith's Tech"
# ["address"] - "123 Office Road"
put cdb_tableID("clients") into tClientsTableID
put cdb_tableID("office") into tOfficeTableID
# Update John's record
put "48" into tDataA[tClientsTableID]["12345678-abcd-1234-cdef-1234567890ab"]["age"]["value"]
put "is in" into tDataA[tClientsTableID]["12345678-abcd-1234-cdef-1234567890ab"]["age"]["operator"]
# Update Smith's Tech's record
put "road" into tDataA[tOfficeTableID]["45678123-abcd-1234-cdef-1234567890ab"]["address"]["value"]
put "is not in" into tDataA[tOfficeTableID]["45678123-abcd-1234-cdef-1234567890ab"]["address"]["operator"]
put " " into tInputA[tOfficeTableID]["45678123-abcd-1234-cdef-1234567890ab"]["address"]["delimiter"]
put "cloud" into tTarget
cdb_batchMerge tDataA,tTarget
# The tables now look like this:
# Table name: clients
# [12345678-abcd-1234-cdef-1234567890ab]["firstName"] - "John"
# ["lastName"] - "Smith"
# ["age"] - "48"
# ["income"] - "100000"
# Table name: office
# [45678123-abcd-1234-cdef-1234567890ab]["name"] - "Smith's Tech"
# ["address"] - "123 Office"
local tDataA, tTarget, tInternalA, tClientsTableID, tOfficeTableID
# Table name: clients
# Keys: firstName, lastName, age, income
# Record:
# [32165478-wxyz-7890-cdef-6544567890ty]["firstName"] - "Cora"
# ["lastName"] - "Doe"
# ["age"] - "35"
# ["income"] - "100000"
# Table name: office
# Keys: name, address
# Record:
# [98778124-idfd-6544-efgf-8744532890po]["name"] - "Doe's Electronics"
# ["address"] - "456 Office Road"
put cdb_tableID("clients") into tClientsTableID
put cdb_tableID("office") into tOfficeTableID
# Update Cora's record
put "110000" into tDataA[tClientsTableID]["32165478-wxyz-7890-cdef-6544567890ty"]["income"]["value"]
put "is in" into tDataA[tClientsTableID]["32165478-wxyz-7890-cdef-6544567890ty"]["income"]["operator"]
# Update Doe's Electronics' record
put "electronics" into tDataA[tOfficeTableID]["98778124-idfd-6544-efgf-8744532890po"]["name"]["value"]
put "is not in" into tDataA[tOfficeTableID]["98778124-idfd-6544-efgf-8744532890po"]["name"]["operator"]
put " " into tInputA[tOfficeTableID]["98778124-idfd-6544-efgf-8744532890po"]["name"]["delimiter"]
put "cloud" into tTarget
put true into tInternalA["delaySend"]
cdb_batchMerge tDataA,tTarget,tInternalA
# Process the delayed transaction
cdb_flushCache
# The tables now look like this:
# Table name: clients
# [32165478-wxyz-7890-cdef-6544567890ty]["firstName"] - "Cora"
# ["lastName"] - "Doe"
# ["age"] - "35"
# ["income"] - "110000"
# Table name: office
# [98778124-idfd-6544-efgf-8744532890po]["name"] - "Doe's"
# ["address"] - "456 Office Road"