feat: implement MSSQL data extraction and transformation process
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@@ -1,7 +1,10 @@
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package main
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import (
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"context"
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"database/sql"
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"fmt"
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"github.com/jackc/pgx/v5/pgxpool"
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_ "github.com/microsoft/go-mssqldb"
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@@ -17,12 +20,16 @@ func processMigrationJob(sourceDb *sql.DB, targetDb *pgxpool.Pool, job Migration
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logColumnTypes(sourceColTypes, "Source col types")
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logColumnTypes(targetColTypes, "Target col types")
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sourceQuery := buildExtractQueryMssql(job, sourceColTypes)
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chRowsExtract := make(chan []UnknownRowValues, QueueSize)
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log.Debug(sourceQuery)
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mssqlContext := context.Background()
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targetQuery := buildExtractQueryPostgres(job, targetColTypes)
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log.Debug(targetQuery)
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if err := extractFromMssql(mssqlContext, job, sourceColTypes, ChunkSize, sourceDb, chRowsExtract); err != nil {
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log.Fatal("Unexpected error extrating data from mssql: ", err)
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}
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close(chRowsExtract)
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transformRowsMssql(job, sourceColTypes, chRowsExtract)
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}
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func logColumnTypes(columnTypes []ColumnType, label string) {
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@@ -32,3 +39,22 @@ func logColumnTypes(columnTypes []ColumnType, label string) {
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log.Infof("%+v", col)
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}
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}
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func transformRowsMssql(job MigrationJob, columns []ColumnType, in <-chan []UnknownRowValues) {
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for rows := range in {
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log.Debug("Chunk received, transforming...")
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for i, rowValues := range rows {
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if i%100 == 0 {
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logSampleRow(job, columns, rowValues, fmt.Sprintf("row %d", i))
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}
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}
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}
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}
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func logSampleRow(job MigrationJob, columns []ColumnType, rowValues UnknownRowValues, tag string) {
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log.Infof("[%s.%s] Sample row: (%s)", job.Schema, job.Table, tag)
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for i, col := range columns {
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log.Infof("%s: %v", col.Name(), rowValues[i])
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}
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}
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