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hanzoai/s3 was an AGPL-3.0 MinIO fork whose network-copyleft blocks embedding
and reselling as a managed service. Replace it wholesale with a fork of
SeaweedFS (github.com/seaweedfs/seaweedfs, Apache-2.0, Go) which ships a
built-in S3 gateway + Filer.
- License: AGPL-3.0 -> Apache-2.0 (upstream LICENSE kept verbatim, incl.
"Copyright 2025 Chris Lu"); NOTICE added crediting SeaweedFS. No AGPL/BUSL/
SSPL/GPL or enterprise ("ee") files remain.
- Module: go.mod path set to github.com/hanzoai/s3 with a self-replace
(replace github.com/seaweedfs/seaweedfs => ./) so the ~1800 internal Go files
keep their upstream import paths with zero churn. Internal identifiers and
import paths are intentionally NOT renamed.
- CLI rebrand: the binary is built as `s3` (was `weed`); root usage, per-command
help/usage/flag strings, shell autocomplete program name, and the product name
in CLI output now read "Hanzo S3" / `s3`. Users never see `weed`.
(e.g. `s3 server`, `s3 filer`, `s3 master`, `s3 volume`, `s3 s3`, `s3 mount`.)
- Build: `make` (or `go build -o s3 ./weed`) builds the `s3` binary green;
`cmd/weed-db` and `cmd/weed-sql` also build; `go vet ./weed/command/` clean.
- README/LLM.md rewritten for Hanzo S3; AGENTS.md/CLAUDE.md symlinks preserved.
- Dropped a 33MB prebuilt Mach-O `stress` binary upstream had committed; `.gitignore`
updated to ignore the `s3` build output.
207 lines
5.5 KiB
Go
207 lines
5.5 KiB
Go
package schema
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import (
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"fmt"
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"sort"
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"strings"
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"github.com/seaweedfs/seaweedfs/weed/pb/schema_pb"
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)
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// SplitFlatSchemaToKeyValue takes a flat RecordType and key column names,
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// returns separate key and value RecordTypes
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func SplitFlatSchemaToKeyValue(flatSchema *schema_pb.RecordType, keyColumns []string) (*schema_pb.RecordType, *schema_pb.RecordType, error) {
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if flatSchema == nil {
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return nil, nil, nil
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}
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// Create maps for fast lookup
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keyColumnSet := make(map[string]bool)
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for _, col := range keyColumns {
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keyColumnSet[col] = true
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}
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var keyFields []*schema_pb.Field
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var valueFields []*schema_pb.Field
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// Split fields based on key columns
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for _, field := range flatSchema.Fields {
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if keyColumnSet[field.Name] {
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// Create key field with reindexed field index
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keyField := &schema_pb.Field{
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Name: field.Name,
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FieldIndex: int32(len(keyFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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keyFields = append(keyFields, keyField)
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} else {
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// Create value field with reindexed field index
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valueField := &schema_pb.Field{
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Name: field.Name,
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FieldIndex: int32(len(valueFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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valueFields = append(valueFields, valueField)
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}
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}
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// Validate that all key columns were found
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if len(keyFields) != len(keyColumns) {
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missingCols := []string{}
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for _, col := range keyColumns {
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found := false
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for _, field := range keyFields {
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if field.Name == col {
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found = true
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break
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}
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}
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if !found {
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missingCols = append(missingCols, col)
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}
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}
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if len(missingCols) > 0 {
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return nil, nil, fmt.Errorf("key columns not found in schema: %v", missingCols)
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}
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}
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var keyRecordType *schema_pb.RecordType
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if len(keyFields) > 0 {
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keyRecordType = &schema_pb.RecordType{Fields: keyFields}
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}
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var valueRecordType *schema_pb.RecordType
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if len(valueFields) > 0 {
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valueRecordType = &schema_pb.RecordType{Fields: valueFields}
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}
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return keyRecordType, valueRecordType, nil
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}
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// CombineFlatSchemaFromKeyValue creates a flat RecordType by combining key and value schemas
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// Key fields are placed first, then value fields
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func CombineFlatSchemaFromKeyValue(keySchema *schema_pb.RecordType, valueSchema *schema_pb.RecordType) (*schema_pb.RecordType, []string) {
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var combinedFields []*schema_pb.Field
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var keyColumns []string
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// Add key fields first
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if keySchema != nil {
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for _, field := range keySchema.Fields {
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combinedField := &schema_pb.Field{
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Name: field.Name,
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FieldIndex: int32(len(combinedFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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combinedFields = append(combinedFields, combinedField)
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keyColumns = append(keyColumns, field.Name)
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}
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}
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// Add value fields
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if valueSchema != nil {
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for _, field := range valueSchema.Fields {
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// Check for name conflicts
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fieldName := field.Name
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for _, keyCol := range keyColumns {
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if fieldName == keyCol {
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// This shouldn't happen in well-formed schemas, but handle gracefully
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fieldName = "value_" + fieldName
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break
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}
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}
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combinedField := &schema_pb.Field{
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Name: fieldName,
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FieldIndex: int32(len(combinedFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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combinedFields = append(combinedFields, combinedField)
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}
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}
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if len(combinedFields) == 0 {
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return nil, keyColumns
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}
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return &schema_pb.RecordType{Fields: combinedFields}, keyColumns
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}
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// ExtractKeyColumnsFromCombinedSchema tries to infer key columns from a combined schema
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// that was created using CreateCombinedRecordType (with key_ prefixes)
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func ExtractKeyColumnsFromCombinedSchema(combinedSchema *schema_pb.RecordType) (flatSchema *schema_pb.RecordType, keyColumns []string) {
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if combinedSchema == nil {
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return nil, nil
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}
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var flatFields []*schema_pb.Field
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var keyColumns_ []string
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for _, field := range combinedSchema.Fields {
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if strings.HasPrefix(field.Name, "key_") {
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// This is a key field - remove the prefix
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originalName := strings.TrimPrefix(field.Name, "key_")
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flatField := &schema_pb.Field{
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Name: originalName,
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FieldIndex: int32(len(flatFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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flatFields = append(flatFields, flatField)
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keyColumns_ = append(keyColumns_, originalName)
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} else {
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// This is a value field
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flatField := &schema_pb.Field{
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Name: field.Name,
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FieldIndex: int32(len(flatFields)),
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Type: field.Type,
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IsRepeated: field.IsRepeated,
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IsRequired: field.IsRequired,
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}
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flatFields = append(flatFields, flatField)
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}
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}
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// Sort key columns to ensure deterministic order
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sort.Strings(keyColumns_)
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if len(flatFields) == 0 {
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return nil, keyColumns_
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}
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return &schema_pb.RecordType{Fields: flatFields}, keyColumns_
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}
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// ValidateKeyColumns checks that all key columns exist in the schema
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func ValidateKeyColumns(schema *schema_pb.RecordType, keyColumns []string) error {
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if schema == nil || len(keyColumns) == 0 {
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return nil
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}
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fieldNames := make(map[string]bool)
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for _, field := range schema.Fields {
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fieldNames[field.Name] = true
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}
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var missingColumns []string
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for _, keyCol := range keyColumns {
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if !fieldNames[keyCol] {
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missingColumns = append(missingColumns, keyCol)
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}
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}
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if len(missingColumns) > 0 {
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return fmt.Errorf("key columns not found in schema: %v", missingColumns)
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}
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return nil
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}
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