How do I clear the following Syntax Error in Amazon Redshift - amazon-web-services

I receive the following error message when attempting to run the following:
The database reported a syntax error:
Amazon Invalid operation: syntax error at or near "." Position: 3952;
select a.*,
b.*,
c.*,
a1."lte_tbl_employee_first_name" as "lte_idb_relocation.sent_by_first_name",
a1."lte_tbl_employee_last_name" as "lte_idb_relocation.sent_by_last_name",
a2."lte_tbl_employee_first_name" as "lte_idb_return.received_by_first_name",
a2."lte_tbl_employee_last_name" as "lte_idb_return.received_by_last_name",
a3."lte_tbl_employee_first_name" as "lte_idb_shipment.order_filler_first_name",
a3."lte_tbl_employee_last_name" as "lte_idb_shipment.order_filler_last_name",
a4."lte_tbl_employee_first_name" as "lte_idb_shipment.order_taker_first_name",
a4."lte_tbl_employee_last_name" as "lte_idb_shipment.order_taker_last_name",
a5."lte_tbl_employee_first_name" as "lte_idb_shipment.shipped_by_first_name",
a5."lte_tbl_employee_last_name" as "lte_idb_shipment.shipped_by_last_name",
a6."lte_tbl_employee_first_name" as "lte_idb_shipment.requestor_first_name",
a6."lte_tbl_employee_last_name" as "lte_idb_shipment.requestor_last_name",
a7."lte_tbl_employee_first_name" as "lte_idb_shipment.shipped_by_first_name",
a7."lte_tbl_employee_last_name" as "lte_idb_shipment.shipped_by_last_name",
a8."lte_tbl_employee_first_name" as "lte_idb_transaction.entered_by_first_name",
a8."lte_tbl_employee_last_name" as "lte_idb_transaction.entered_by_last_name",
b1."lte_tbl_hospital.name" as "lte_idb_invoice.customer_name",
b2."lte_tbl_hospital.name" as "lte_idb_return.returned_by_customer_name",
b3."lte_tbl_hospital.name" as "lte_idb_relocation.relocate_from_customer_name",
b4."lte_tbl_hospital.name" as "lte_idb_transaction.invoiced_customer_name",
b5."lte_tbl_hospital.name" as "lte_idb_shipment.shipped_to_customer_name",
c1."lte_tbl_return_code.description" as "lte_tbl_return_code.return_reason_description",
c2."lte_tbl_return_code.hold_code",
c3."lte_tbl_return_code.destroyed_at_hospital",
c4."lte_tbl_inventory_type.inventory_type",
c5."lte_tbl_inventory_type.description",
c6."tbl_transaction_status.status_description",
c7."lte_idb_transaction.transaction_id",
c8.CONCAT("lte_idb_transaction.transaction_number_prefix", "lte_idb_transaction.transaction_number_sequence") as "lte_idb_transaction.transaction",
c9."lte_idb_transaction.transaction_datetime",
c10."lte_idb_transaction.invoice_number",
c11."lte_idb_transaction.entered_by",
c12."lte_idb_transaction.transaction_status",
c13."lte_idb_transaction.invoiced_customer",
c14."lte_idb_invoice.total_amount",
c15."lte_idb_invoice.invoice_status",
c16."lte_idb_invoice.date_generated",
c17."lte_idb_invoice.customer_code",
c18."lte_idb_line_item.line_item_id",
c19."lte_idb_line_item.product_id",
c20."lte_idb_line_item.price",
c21."lte_idb_line_item.product_code",
c22."lte_idb_line_item.quantity",
c23."lte_idb_line_item.comments",
c24."lte_idb_line_item.expires",
c25."lte_idb_line_item.blood_type",
c26."lte_idb_line_item.biohazard",
c27."lte_idb_line_item.licensed",
c28."lte_idb_service.po_number",
c29."lte_idb_service.auto_price",
c30."lte_idb_service.debit",
c31."lte_idb_relocation.sent_by",
c32."lte_idb_relocation.auto_price",
c33."lte_idb_relocation.po_number",
c34."lte_idb_relocation.relocate_from",
c35."lte_idb_return.returned_by",
c36."lte_idb_return.received_by",
c37."lte_idb_return.return_code" as "lte_idb_return.return_reason",
c38."lte_idb_return.ra_number" as "lte_idb_return.r/a_number",
c39."lte_idb_return.auto_price",
c40."lte_idb_shipment.shipped_to",
c41."lte_idb_shipment.shipped_by",
c42."lte_idb_shipment.order_date",
c43."lte_idb_shipment.order_filler",
c44."lte_idb_shipment.order_taker",
c45."lte_idb_shipment.requestor",
c46."lte_idb_shipment.transportation_code",
c47."lte_idb_shipment.po_number",
c48."lte_idb_shipment.autologous",
c49."lte_idb_shipment.auto_price",
c50."lte_idb_shipment.emergency_shipment",
c51."lte_idb_shipment.order_number_external"
from "lte_idb_transaction_joined" c., "raw_lte_tbl_employee" a.,
"raw_lte_tbl_hospital" b.,
left JOIN "raw_lte_tbl_employee" a1
on c."lte_idb_relocation.sent_by" = a1."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a2
on c. "lte_idb_return.received_by" = a2."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a3
on c."lte_idb_shipment.order_filler" = a3."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a4
on c."lte_idb_shipment.order_taker" = a4."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a5
on c."lte_idb_shipment.shipped_by" = a5."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a6
on c."lte_idb_shipment.requestor" = a6."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a7
on c."lte_idb_shipment.shipped_by"= a7."lte_tbl_employee_code"
left join "raw_lte_tbl_employee" a8
on c."lte_idb_transaction.entered_by" = a8."lte_tbl_employee_code"
left join "raw_lte_tbl_hospital" b1
on c."lte_idb_invoice.customer_code" = b1."lte_tbl_hospital.code"
left join "raw_lte_tbl_hospital" b2
on c."lte_idb_return.returned_by" = b2."lte_tbl_hospital.code"
left join "raw_lte_tbl_hospital" b3
on c."lte_idb_relocation.relocate_from" = b3."lte_tbl_hospital.code"
left join "raw_lte_tbl_hospital" b4
on c."lte_idb_transaction.invoiced_customer" = b4."lte_tbl_hospital.code"
left join "raw_lte_tbl_hospital" b5
on c."lte_idb_shipment.shipped_to" = b5."lte_tbl_hospital.code"


This is likely to cause that type of problem:
from "lte_idb_transaction_joined" c.,
"raw_lte_tbl_employee" a.,
"raw_lte_tbl_hospital" b.,
There should not be a period after the alias name.

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I'm trying to get data from a PostgreSQL database using ADO and official PostgreSQL ODBC driver. In some cases I get wrong field names when using NextRecordset(). It looks like a bug in a driver. Is there any workaround for this?
Here is a small example. It prints 'g1' for the last field of the second recordset, but it must be 'g2'.
SQL
Create Table Test ("Field" int);
C++
_bstr_t strCnn("Provider='MSDASQL';Driver=PostgreSQL Unicode;uid=postgres;Server=127.0.0.1;port=5432;database=MyDB;pwd=password;");
_RecordsetPtr pRstCompound = NULL;
TESTHR(pRstCompound.CreateInstance(__uuidof(Recordset)));
auto Statement =
"Select '1' a1, '2' b1, '3' c1, '4' d1, '5' e1, '6' f1, \"Field\" g1 From Test;\n"
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pRstCompound->Open(Statement, strCnn, adOpenForwardOnly, adLockReadOnly, adCmdText);
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while (!(pRstCompound == NULL)) {
printf("\n\nContents of recordset #%d\n", intCount++);
auto Fields = pRstCompound->Fields;
long const nFields = Fields->Count;
for (long nField = 0; nField < nFields; ++nField)
printf("%s%s",
(LPCSTR)(_bstr_t)Fields->GetItem(nField)->Name,
nField + 1 == nFields ? "\n" : "\t");
pRstCompound = pRstCompound->NextRecordset(nullptr);
}
Output:
Contents of recordset #1
a1 b1 c1 d1 e1 f1 g1
Contents of recordset #2
a2 b2 c2 d2 e2 f2 g1
Expected output:
Contents of recordset #1
a1 b1 c1 d1 e1 f1 g1
Contents of recordset #2
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I'm trying to populate a column (Cell C2) with the value of the cell in the column to its left (Cell B2) if B2 is not empty; if B2 is empty, then C2 equals to C1.
If B3 is not empty, then C3 equals to B3; if B3 is empty, C3 equals C2.
I try using an array formula, but it returns circular reference error. And I certainly can't use INDEX and INDIRECT either.
Please help.
The sample file:
https://docs.google.com/spreadsheets/d/1TXz5m5LtTF632bMrwIIDlO-4NMavgs6HA4FE8_BFhRs/edit?usp=sharing

paste in C3 cell:
=ARRAYFORMULA(IF(D3:D<>"", IF(ROW(B3:B) <= MAX(IF(D3:D<>"", ROW(B3:B))),
TEXT(VLOOKUP(ROW(B3:B), FILTER({ROW(B3:B), B3:B}, LEN(B3:B)), 2),
"dd mmm yyyy"), ), ))

You can use vlookup on the row number:
=ArrayFormula(to_date(if(D3:D="","",vlookup(row(A3:A),if(B3:B<>"",{row(A3:A),B3:B}),2,true))))

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How do I write the formula for the following:
if B2 = "SF" and D2 = "1"
then H2 = E2 + .75
else if B2 = "SF" and D2 = ".25"
then H2 = E2 + .625
else if B2 = "CW" and D2 = "1"
then H2 = E2 + 1
I want my answers to be in H2, with data being entered into B2, D2 and E2.

=if(AND(B2="SF",D2=1)=TRUE,E2+0.75,if(AND(B2="SF",D2=0.25)=TRUE,E2+0.625,if(AND(B2="CW",D2=1)=TRUE,E2+1,0)))
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The query is
set hive.auto.convert.join=false;
create table J as
select c1, c2, c3, c4
from
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I am very new to splunk and need your help in resolving below issue.
I have two CSV files uploaded in splunk instance. Below mentioned is each file and its fileds.
Apple.csv
a. A1 b. A2 c. A3
Orange.csv
a. O1 (may have values matching with values of A3) b. O2
My requirement is as below:
Select set of values of A1,A2,A3 and O2 from Apple.csv and Orange.csv
where A1=”X” and A2=”Y” and A3 = O1
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A1 A2 A3
X Y 123
LP HJK 222
X Y 999
O1 O2
999 open
123 closed
65432 open
Output
A1 A2 A3 O2
X Y 123 Open
X Y 999 closed
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You could do this
source="apple.csv" OR source="orange.csv"
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| stats first(A1) as A1 first(A2) as A2 first(A3) as A3 first(O2) as O2 by grouping
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Although I would think that considering the timestamp of the events might also be important...