It is possible to import a .del
file (a delimited file, such as one exported from DB2) into SQLite, but you might need to process the file depending on its format. SQLite supports importing data from CSV files, so the key is to convert your .del
file into a format SQLite can understand, such as a standard CSV.
Steps to Import DB2 .del
File into SQLite:
Inspect the
.del
File Format:- Check the delimiter used in the
.del
file (commonly|
,\t
, or another character). - Verify if the file includes a header row with column names.
- Look for any special encoding or escape characters.
- Check the delimiter used in the
Convert
.del
to CSV:- If the
.del
file uses a delimiter other than a comma (,
), replace the delimiter with a comma. You can use tools likesed
,awk
, or Python scripts. - Example using
sed
(assuming|
as the delimiter):sed 's/|/,/g' T_db_table.del > T_db_table.csv
- Ensure all fields are properly quoted if necessary (e.g., strings with commas).
- If the
Create the SQLite Table:
- Manually define the schema in SQLite to match the structure of your
.del
file. - Example:
CREATE TABLE T_db_table ( column1 TEXT, column2 INTEGER, column3 REAL -- Add more columns as needed );
- Manually define the schema in SQLite to match the structure of your
Import the Converted File into SQLite:
- Use the
.import
command in the SQLite CLI:sqlite3 your_database.db .mode csv .import T_db_table.csv T_db_table
- If the file has a header row, SQLite will skip it automatically. If it doesn’t, ensure the
.csv
file matches the order of columns in your table.
- Use the
Verify the Data:
- Query the table to ensure the data was imported correctly:
SELECT * FROM T_db_table LIMIT 10;
- Query the table to ensure the data was imported correctly:
Automate if Necessary:
- If you have multiple files, write a script to automate the conversion and import process.
Considerations for Migration to ARM Environment:
- Data Validation: Ensure the data types in SQLite align with the original DB2 schema to avoid truncation or conversion errors.
- Encoding: Confirm the
.del
file encoding (e.g., UTF-8) matches the expected encoding for SQLite. - Index and Constraints: Recreate any indexes or constraints from DB2 in SQLite for testing purposes.
When migrating from DB2 to SQLite, column types don’t have a one-to-one match because the systems have different type systems. However, I can provide a general mapping guide based on common DB2 types and their closest equivalents in SQLite.
General Column Type Mapping from DB2 to SQLite:
DB2 Type | SQLite Type | Explanation |
---|---|---|
CHAR(n) |
TEXT |
CHAR(n) is a fixed-length string in DB2. SQLite stores it as a variable-length string (TEXT ). |
VARCHAR(n) |
TEXT |
VARCHAR(n) is a variable-length string, similar to TEXT in SQLite. |
CLOB |
TEXT |
CLOB (Character Large Object) in DB2 is treated as TEXT in SQLite. |
INTEGER |
INTEGER |
Both DB2 and SQLite use INTEGER for integers. |
BIGINT |
INTEGER |
SQLite stores large integers as INTEGER . |
DECIMAL(p, s) |
REAL |
DECIMAL is stored as a floating-point number (REAL ) in SQLite. |
NUMERIC(p, s) |
REAL |
NUMERIC in DB2 is typically mapped to REAL in SQLite. |
FLOAT , DOUBLE |
REAL |
Both FLOAT and DOUBLE are mapped to REAL in SQLite. |
DATE |
TEXT |
SQLite stores dates as TEXT in the ISO 8601 format (YYYY-MM-DD ). |
TIME |
TEXT |
TIME is also stored as TEXT in SQLite (HH:MM:SS ). |
TIMESTAMP |
TEXT |
TIMESTAMP in DB2 is stored as TEXT in SQLite (YYYY-MM-DD HH:MM:SS ). |
BINARY(n) |
BLOB |
BINARY is mapped to BLOB (Binary Large Object) in SQLite. |
VARBINARY(n) |
BLOB |
VARBINARY is also mapped to BLOB in SQLite. |
BOOLEAN |
INTEGER |
SQLite uses INTEGER for boolean values, where 0 is false and 1 is true. |
Example Mapping for Your Table:
If your DB2 table includes columns like CHAR(2)
or VARCHAR(512)
, you could map them to TEXT
in SQLite, as both types store strings.
For instance:
CHAR(2)
in DB2 →TEXT
in SQLite (Fixed-length string)VARCHAR(512)
in DB2 →TEXT
in SQLite (Variable-length string)
Example DB2 to SQLite Mapping:
If you have a DB2 table like this:
CREATE TABLE T_db_table(
column1 CHAR(2), -- Fixed-length string
column2 VARCHAR(512), -- Variable-length string
column3 DECIMAL(10,2),-- Decimal number
column4 INTEGER, -- Integer
column5 DATE -- Date
);
You could map it to SQLite like this:
CREATE TABLE T_db_table (
column1 TEXT, -- CHAR(2) mapped to TEXT
column2 TEXT, -- VARCHAR(512) mapped to TEXT
column3 REAL, -- DECIMAL(10,2) mapped to REAL
column4 INTEGER, -- INTEGER stays INTEGER
column5 TEXT -- DATE mapped to TEXT (ISO format)
);
Some Additional Considerations:
Precision: If you are working with
DECIMAL
orNUMERIC
types in DB2 with specified precision and scale, SQLite doesn’t enforce the precision, so it treats them asREAL
. This can result in rounding or precision issues if you need high precision.Date/Time: SQLite stores date and time values as text in ISO 8601 format, which is a string representation. Make sure you format the date/time correctly before importing if it’s not already in that format.
String Length: In SQLite,
TEXT
columns are flexible and don’t have a length constraint (unlikeCHAR(n)
orVARCHAR(n)
in DB2). So, there’s no need to worry about setting a column length in SQLite.
UPDATE t_db_table SET custtype=TRIM(custtype), TYPE=TRIM(type);
Makefile
CC = gcc
CFLAGS = -Wall -g
LDFLAGS = -lsqlite3
TARGET = sqlite_query_demo
all: $(TARGET)
$(TARGET): sqlite_query_demo.c
$(CC) $(CFLAGS) -o $(TARGET) sqlite_query_demo.c $(LDFLAGS)
clean:
rm -f $(TARGET) *.o
// sqlite_query_demo.c
#include <stdio.h>
#include <stdlib.h>
#include <sqlite3.h>
void execute_query(sqlite3 *db, const char *custno, const char *type) {
const char *sql_template = "SELECT * FROM T_db_table WHERE custtype='1' AND custno=? AND type=?";
sqlite3_stmt *stmt;
int rc;
// Prepare the SQL statement
rc = sqlite3_prepare_v2(db, sql_template, -1, &stmt, NULL);
if (rc != SQLITE_OK) {
fprintf(stderr, "Failed to prepare statement: %s\n", sqlite3_errmsg(db));
return;
}
// Bind the parameters
sqlite3_bind_text(stmt, 1, custno, -1, SQLITE_STATIC);
sqlite3_bind_text(stmt, 2, type, -1, SQLITE_STATIC);
// Execute the query and print the results
printf("Results:\n");
while ((rc = sqlite3_step(stmt)) == SQLITE_ROW) {
int columns = sqlite3_column_count(stmt);
for (int i = 0; i < columns; i++) {
printf("%s = %s\t", sqlite3_column_name(stmt, i), sqlite3_column_text(stmt, i));
}
printf("\n");
}
if (rc != SQLITE_DONE) {
fprintf(stderr, "Error while executing statement: %s\n", sqlite3_errmsg(db));
}
// Finalize the statement
sqlite3_finalize(stmt);
}
int main(int argc, char *argv[]) {
if (argc != 4) {
fprintf(stderr, "Usage: %s <database> <custno> <type>\n", argv[0]);
return EXIT_FAILURE;
}
const char *db_path = argv[1];
const char *custno = argv[2];
const char *type = argv[3];
sqlite3 *db;
int rc;
// Open the database
rc = sqlite3_open(db_path, &db);
if (rc) {
fprintf(stderr, "Can't open database: %s\n", sqlite3_errmsg(db));
return EXIT_FAILURE;
}
execute_query(db, custno, type);
// Close the database
sqlite3_close(db);
return EXIT_SUCCESS;
}