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2dc9fc1626
* start moving to bun * changing more stuff * more * and yet more * tests passing * seems stable now * more big changes * small fix * little fixes
341 lines
11 KiB
Go
341 lines
11 KiB
Go
// Package pgx is a PostgreSQL database driver.
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/*
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pgx provides lower level access to PostgreSQL than the standard database/sql. It remains as similar to the database/sql
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interface as possible while providing better speed and access to PostgreSQL specific features. Import
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github.com/jackc/pgx/v4/stdlib to use pgx as a database/sql compatible driver.
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Establishing a Connection
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The primary way of establishing a connection is with `pgx.Connect`.
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conn, err := pgx.Connect(context.Background(), os.Getenv("DATABASE_URL"))
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The database connection string can be in URL or DSN format. Both PostgreSQL settings and pgx settings can be specified
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here. In addition, a config struct can be created by `ParseConfig` and modified before establishing the connection with
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`ConnectConfig`.
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config, err := pgx.ParseConfig(os.Getenv("DATABASE_URL"))
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if err != nil {
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// ...
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}
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config.Logger = log15adapter.NewLogger(log.New("module", "pgx"))
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conn, err := pgx.ConnectConfig(context.Background(), config)
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Connection Pool
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`*pgx.Conn` represents a single connection to the database and is not concurrency safe. Use sub-package pgxpool for a
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concurrency safe connection pool.
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Query Interface
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pgx implements Query and Scan in the familiar database/sql style.
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var sum int32
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// Send the query to the server. The returned rows MUST be closed
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// before conn can be used again.
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rows, err := conn.Query(context.Background(), "select generate_series(1,$1)", 10)
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if err != nil {
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return err
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}
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// rows.Close is called by rows.Next when all rows are read
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// or an error occurs in Next or Scan. So it may optionally be
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// omitted if nothing in the rows.Next loop can panic. It is
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// safe to close rows multiple times.
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defer rows.Close()
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// Iterate through the result set
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for rows.Next() {
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var n int32
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err = rows.Scan(&n)
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if err != nil {
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return err
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}
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sum += n
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}
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// Any errors encountered by rows.Next or rows.Scan will be returned here
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if rows.Err() != nil {
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return rows.Err()
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}
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// No errors found - do something with sum
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pgx also implements QueryRow in the same style as database/sql.
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var name string
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var weight int64
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err := conn.QueryRow(context.Background(), "select name, weight from widgets where id=$1", 42).Scan(&name, &weight)
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if err != nil {
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return err
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}
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Use Exec to execute a query that does not return a result set.
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commandTag, err := conn.Exec(context.Background(), "delete from widgets where id=$1", 42)
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if err != nil {
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return err
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}
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if commandTag.RowsAffected() != 1 {
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return errors.New("No row found to delete")
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}
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QueryFunc can be used to execute a callback function for every row. This is often easier to use than Query.
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var sum, n int32
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_, err = conn.QueryFunc(
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context.Background(),
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"select generate_series(1,$1)",
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[]interface{}{10},
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[]interface{}{&n},
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func(pgx.QueryFuncRow) error {
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sum += n
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return nil
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},
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)
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if err != nil {
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return err
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}
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Base Type Mapping
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pgx maps between all common base types directly between Go and PostgreSQL. In particular:
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Go PostgreSQL
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-----------------------
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string varchar
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text
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// Integers are automatically be converted to any other integer type if
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// it can be done without overflow or underflow.
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int8
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int16 smallint
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int32 int
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int64 bigint
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int
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uint8
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uint16
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uint32
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uint64
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uint
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// Floats are strict and do not automatically convert like integers.
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float32 float4
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float64 float8
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time.Time date
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timestamp
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timestamptz
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[]byte bytea
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Null Mapping
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pgx can map nulls in two ways. The first is package pgtype provides types that have a data field and a status field.
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They work in a similar fashion to database/sql. The second is to use a pointer to a pointer.
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var foo pgtype.Varchar
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var bar *string
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err := conn.QueryRow("select foo, bar from widgets where id=$1", 42).Scan(&foo, &bar)
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if err != nil {
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return err
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}
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Array Mapping
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pgx maps between int16, int32, int64, float32, float64, and string Go slices and the equivalent PostgreSQL array type.
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Go slices of native types do not support nulls, so if a PostgreSQL array that contains a null is read into a native Go
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slice an error will occur. The pgtype package includes many more array types for PostgreSQL types that do not directly
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map to native Go types.
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JSON and JSONB Mapping
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pgx includes built-in support to marshal and unmarshal between Go types and the PostgreSQL JSON and JSONB.
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Inet and CIDR Mapping
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pgx encodes from net.IPNet to and from inet and cidr PostgreSQL types. In addition, as a convenience pgx will encode
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from a net.IP; it will assume a /32 netmask for IPv4 and a /128 for IPv6.
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Custom Type Support
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pgx includes support for the common data types like integers, floats, strings, dates, and times that have direct
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mappings between Go and SQL. In addition, pgx uses the github.com/jackc/pgtype library to support more types. See
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documention for that library for instructions on how to implement custom types.
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See example_custom_type_test.go for an example of a custom type for the PostgreSQL point type.
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pgx also includes support for custom types implementing the database/sql.Scanner and database/sql/driver.Valuer
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interfaces.
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If pgx does cannot natively encode a type and that type is a renamed type (e.g. type MyTime time.Time) pgx will attempt
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to encode the underlying type. While this is usually desired behavior it can produce surprising behavior if one the
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underlying type and the renamed type each implement database/sql interfaces and the other implements pgx interfaces. It
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is recommended that this situation be avoided by implementing pgx interfaces on the renamed type.
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Composite types and row values
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Row values and composite types are represented as pgtype.Record (https://pkg.go.dev/github.com/jackc/pgtype?tab=doc#Record).
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It is possible to get values of your custom type by implementing DecodeBinary interface. Decoding into
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pgtype.Record first can simplify process by avoiding dealing with raw protocol directly.
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For example:
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type MyType struct {
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a int // NULL will cause decoding error
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b *string // there can be NULL in this position in SQL
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}
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func (t *MyType) DecodeBinary(ci *pgtype.ConnInfo, src []byte) error {
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r := pgtype.Record{
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Fields: []pgtype.Value{&pgtype.Int4{}, &pgtype.Text{}},
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}
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if err := r.DecodeBinary(ci, src); err != nil {
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return err
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}
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if r.Status != pgtype.Present {
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return errors.New("BUG: decoding should not be called on NULL value")
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}
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a := r.Fields[0].(*pgtype.Int4)
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b := r.Fields[1].(*pgtype.Text)
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// type compatibility is checked by AssignTo
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// only lossless assignments will succeed
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if err := a.AssignTo(&t.a); err != nil {
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return err
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}
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// AssignTo also deals with null value handling
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if err := b.AssignTo(&t.b); err != nil {
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return err
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}
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return nil
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}
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result := MyType{}
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err := conn.QueryRow(context.Background(), "select row(1, 'foo'::text)", pgx.QueryResultFormats{pgx.BinaryFormatCode}).Scan(&r)
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Raw Bytes Mapping
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[]byte passed as arguments to Query, QueryRow, and Exec are passed unmodified to PostgreSQL.
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Transactions
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Transactions are started by calling Begin.
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tx, err := conn.Begin(context.Background())
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if err != nil {
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return err
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}
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// Rollback is safe to call even if the tx is already closed, so if
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// the tx commits successfully, this is a no-op
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defer tx.Rollback(context.Background())
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_, err = tx.Exec(context.Background(), "insert into foo(id) values (1)")
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if err != nil {
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return err
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}
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err = tx.Commit(context.Background())
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if err != nil {
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return err
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}
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The Tx returned from Begin also implements the Begin method. This can be used to implement pseudo nested transactions.
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These are internally implemented with savepoints.
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Use BeginTx to control the transaction mode.
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BeginFunc and BeginTxFunc are variants that begin a transaction, execute a function, and commit or rollback the
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transaction depending on the return value of the function. These can be simpler and less error prone to use.
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err = conn.BeginFunc(context.Background(), func(tx pgx.Tx) error {
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_, err := tx.Exec(context.Background(), "insert into foo(id) values (1)")
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return err
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})
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if err != nil {
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return err
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}
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Prepared Statements
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Prepared statements can be manually created with the Prepare method. However, this is rarely necessary because pgx
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includes an automatic statement cache by default. Queries run through the normal Query, QueryRow, and Exec functions are
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automatically prepared on first execution and the prepared statement is reused on subsequent executions. See ParseConfig
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for information on how to customize or disable the statement cache.
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Copy Protocol
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Use CopyFrom to efficiently insert multiple rows at a time using the PostgreSQL copy protocol. CopyFrom accepts a
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CopyFromSource interface. If the data is already in a [][]interface{} use CopyFromRows to wrap it in a CopyFromSource
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interface. Or implement CopyFromSource to avoid buffering the entire data set in memory.
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rows := [][]interface{}{
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{"John", "Smith", int32(36)},
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{"Jane", "Doe", int32(29)},
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}
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copyCount, err := conn.CopyFrom(
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context.Background(),
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pgx.Identifier{"people"},
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[]string{"first_name", "last_name", "age"},
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pgx.CopyFromRows(rows),
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)
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When you already have a typed array using CopyFromSlice can be more convenient.
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rows := []User{
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{"John", "Smith", 36},
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{"Jane", "Doe", 29},
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}
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copyCount, err := conn.CopyFrom(
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context.Background(),
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pgx.Identifier{"people"},
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[]string{"first_name", "last_name", "age"},
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pgx.CopyFromSlice(len(rows), func(i int) ([]interface{}, error) {
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return []interface{}{rows[i].FirstName, rows[i].LastName, rows[i].Age}, nil
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}),
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)
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CopyFrom can be faster than an insert with as few as 5 rows.
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Listen and Notify
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pgx can listen to the PostgreSQL notification system with the `Conn.WaitForNotification` method. It blocks until a
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context is received or the context is canceled.
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_, err := conn.Exec(context.Background(), "listen channelname")
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if err != nil {
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return nil
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}
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if notification, err := conn.WaitForNotification(context.Background()); err != nil {
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// do something with notification
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}
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Logging
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pgx defines a simple logger interface. Connections optionally accept a logger that satisfies this interface. Set
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LogLevel to control logging verbosity. Adapters for github.com/inconshreveable/log15, github.com/sirupsen/logrus,
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go.uber.org/zap, github.com/rs/zerolog, and the testing log are provided in the log directory.
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Lower Level PostgreSQL Functionality
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pgx is implemented on top of github.com/jackc/pgconn a lower level PostgreSQL driver. The Conn.PgConn() method can be
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used to access this lower layer.
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PgBouncer
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pgx is compatible with PgBouncer in two modes. One is when the connection has a statement cache in "describe" mode. The
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other is when the connection is using the simple protocol. This can be set with the PreferSimpleProtocol config option.
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*/
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package pgx
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