Iterator-based tx reader sketch
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94ed876cfa
commit
0f957f242b
4 changed files with 66 additions and 51 deletions
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@ -17,7 +17,7 @@ use mentat::conn::Conn;
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use mentat::new_connection;
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use mentat_tolstoy::tx_client::{
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TxReader,
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TxClient
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TxClient,
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};
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use mentat_core::{
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ValueType,
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@ -12,6 +12,7 @@ serde = "1.0"
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serde_json = "1.0"
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serde_derive = "1.0"
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lazy_static = "0.2"
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itertools = "0.6.5"
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uuid = { version = "0.5", features = ["v4", "serde"] }
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error-chain = { git = "https://github.com/rnewman/error-chain", branch = "rnewman/sync" }
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@ -23,6 +23,7 @@ extern crate mentat_db;
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extern crate mentat_core;
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extern crate rusqlite;
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extern crate uuid;
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extern crate itertools;
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pub mod schema;
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pub mod metadata;
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@ -8,8 +8,8 @@
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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use std::collections::BTreeMap;
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use std::collections::btree_map::Entry;
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// use itertools::structs::Batching;
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use itertools::Itertools;
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use rusqlite;
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@ -27,7 +27,7 @@ use mentat_core::{
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Entid,
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};
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#[derive(Debug)]
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#[derive(Debug, Clone)]
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pub struct TxPart {
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pub e: Entid,
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pub a: Entid,
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@ -49,7 +49,7 @@ pub struct TxPart {
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// - A structure that doesn't require pulling the entire tx into memory. This might be a cursor,
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// a rowid range, or something else that's scoped to the lifetime of a particular database transaction,
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// in order to preserve isolation.
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#[derive(Debug)]
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#[derive(Debug, Clone)]
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pub struct Tx {
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pub tx: Entid,
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pub tx_instant: TypedValue,
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@ -64,6 +64,8 @@ struct RawDatom {
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added: bool,
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}
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// type TxIter<I, F> = Batching<I, F>;
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pub trait TxReader {
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fn all(sqlite: &rusqlite::Connection) -> Result<Vec<Tx>>;
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}
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@ -71,11 +73,14 @@ pub trait TxReader {
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pub struct TxClient {}
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impl TxReader for TxClient {
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// TODO what should a type signature look like for this to return the
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// batching iterator?
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fn all(sqlite: &rusqlite::Connection) -> Result<Vec<Tx>> {
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let mut stmt = sqlite.prepare(
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"SELECT e, a, v, tx, added, value_type_tag FROM transactions"
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"SELECT e, a, v, tx, added, value_type_tag FROM transactions ORDER BY tx"
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)?;
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let datoms: Vec<Result<RawDatom>> = stmt.query_and_then(&[], |row| -> Result<RawDatom> {
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let row_iterator = stmt.query_and_then(&[], |row| -> Result<RawDatom> {
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Ok(RawDatom {
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e: row.get(0),
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a: row.get(1),
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@ -83,54 +88,62 @@ impl TxReader for TxClient {
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tx: row.get(3),
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added: row.get(4),
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})
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})?.collect();
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})?;
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// It's convenient to have a consistently ordered set of results,
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// so we use a sorting map.
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let mut txes_by_tx: BTreeMap<Entid, Tx> = BTreeMap::new();
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let txes_iterator = row_iterator.batching(|rows| {
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let mut has_next_tx = false;
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let mut next_tx: Option<Box<Tx>> = None;
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// On first pass, build our Txes and TxParts for each.
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for datom_result in datoms {
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let datom = datom_result?;
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// Datom represents a transaction.
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if datom.a == entids::DB_TX_INSTANT && datom.tx == datom.e {
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// Does the Tx already exist in the map? That means we've inserted it
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// with an incomplete tx_instant; update it.
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if let Entry::Occupied(mut tx) = txes_by_tx.entry(datom.tx) {
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tx.get_mut().tx_instant = datom.v;
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continue;
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// Our rows are partitioned into batches that represent transactions,
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// thanks to ORDER BY clause above. We come up with a transaction by
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// iterating through rows until we have its full representation.
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// TODO place limits to safeguard against bad data?
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loop {
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if let Some(datom) = rows.next() {
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let datom = match datom {
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Ok(d) => d,
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Err(_) => break // TODO propagate error from from_sql_value_pair above
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};
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let part = TxPart {
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e: datom.e,
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a: datom.a,
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v: datom.v.clone(),
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added: datom.added,
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};
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if !has_next_tx {
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next_tx = Some(Box::new(Tx {
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tx: datom.tx,
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tx_instant: datom.v.clone(),
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parts: vec![part],
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}));
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has_next_tx = true;
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} else {
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// Datom represents a transaction, we're done with this chunk of rows.
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if datom.a == entids::DB_TX_INSTANT && datom.tx == datom.e {
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match next_tx {
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Some(ref mut t) => {t.tx_instant = part.v;},
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None => break // TODO bad state
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}
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break;
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// Datom represents a transaction part - take a note of it, continue iterating.
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} else {
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match next_tx {
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Some(ref mut t) => {t.parts.push(part);},
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None => break // TODO bad state
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}
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}
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}
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} else {
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break;
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}
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// Otherwise, insert brand new Tx into our map.
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txes_by_tx.insert(datom.tx, Tx {
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tx: datom.tx,
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tx_instant: datom.v,
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parts: Vec::new(),
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});
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// Datom represents a transaction part.
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} else {
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let part = TxPart {
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e: datom.e,
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a: datom.a,
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v: datom.v,
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added: datom.added,
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};
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// Does the Tx for this part already exist in the map?
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// Append this part to the parts list.
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if let Entry::Occupied(mut tx) = txes_by_tx.entry(datom.tx) {
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tx.get_mut().parts.push(part);
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continue;
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}
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// Otherwise, insert the Tx with the current part in its parts list.
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txes_by_tx.insert(datom.tx, Tx {
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tx: datom.tx,
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tx_instant: TypedValue::Long(0), // to be set as we iterate
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parts: vec![part],
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});
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}
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}
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// Finally, consume the Tx map into a Vec of its values.
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Ok(txes_by_tx.into_iter().map(|(_, tx)| tx).collect())
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// TODO due to TODOs above, this is ambiguous:
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// either there's no transaction, or something went wrong!
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next_tx
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}).map(|t| *t);
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// TODO just return the iterator...
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Ok(txes_iterator.collect())
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}
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}
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